Dissertations / Theses on the topic 'Hybrid Electric Vehicle (HEV)'

<p>Hybrid electric vehicles are considered to be an important part of the future vehicle industry, since they decrease fuel consumption without decreasing the performance compared to a conventional vehicle. They use two or more power sources to propel the vehicle, normally one combustion engine and one electric machine. These power sources can be arranged in different topologies and can cooporate in different ways. In this thesis, dynamic models of parallel and series hybrid powertrains are developed, and different strategies for how to control them are compared.An optimization algorithm for decreasing fuel consumption and utilize the battery storage capacity as much as possible is also developed, implemented and tested.</p>

<p>Hybrid electric vehicles have two power sources - an internal combustion engine and an electric motor. These vehicles are of great interest because they contribute to a decreasing fuel consumption and air pollution and still maintain the performance of a conventional car. Different topologies are described in this thesis and especially the series and parallel hybrid electric vehicle and Toyota Prius have been studied. </p><p>This thesis also depicts modelling of a reference car and a series hybrid electric vehicle in Modelica. When appropriate, models from the Modelica standard library have been used. Models for a manual gearbox, final drive, wheel, chassis, air drag and a driver have been developed for the reference car. </p><p>For the hybrid electric vehicle a continuously variable transmission, battery, an electric motor, fuel cut-off function for the internal combustion engine and a converter that distributes the current between generator, electric motor and internal combustion engine have been designed. </p><p>These models have been put together with models from the Modelica standard library to a reference car and a series hybrid electric vehicle which follows the NEDC driving cycle. A sketch for the parallel hybrid electric vehicle and Toyota Prius have also been made in Modelica. </p><p>Developed models have been introduced into the Modelica library VehProLib, which is a vehicle propulsion library under development by Vehicular Systems, Linköpings universitet.</p>

<p>The lithium ion battery is today mainly used in cell phonesand laptops. In the future, this kind of battery might beuseful in hybrid electric vehicles as well.</p><p>In this work, the main focus has been to gain more knowledgeabout the lithium ion battery in the hybrid electric vehicle(HEV) and more precisely to examine what processes of thebattery that are limiting at HEV currents. Both experiments andmathematical modelling have been used. In both cases, highrate, pulsed currents typical for the HEV, have been used.</p><p>Two manuscripts have been written. Both of them concern thebehaviour of the battery at HEV load, but from different pointsof view. The first one concerns the electrochemical behaviourof the battery at different ambient temperatures. Theexperimental results of this paper were used to validate amathematical model of a Li-ion battery. Possiblesimplifications of the model were identified. In this work itwas also concluded that the mass transfer of the electrolyte isthe main limiting process within the battery. The mass transferof the electrolyte was further studied in the second paper,where the concentration of lithium ions was measured indirectlyusing in situ Raman spectroscopy. This study showed that themathematical description of the mass transfer of theelectrolyte is not complete. One main reason of this issuggested to be the poor description of the physical parametersof the electrolyte. These ought to be further studied in orderto get a better fit between concentration gradients predictedby experiments and model respectively.</p>

System level parametric design of hybrid electric vehicles involves estimation of the power ratings as well as the values of certain parameters of the components, given the values of the performance parameters. The design is based on certain mathematical equations or ‘design rules’, which relate the component parameters and the performance parameters. The flow of the design algorithm is uni-directional and fixed, and cannot be altered. This thesis proposes a new method for such parametric design, called omni- directional design, which does not have a fixed sequence like the conventional design, but can start with any parameters of the designer’s choice. The designer is also able to specify the input parameters over a range, instead of a point (one, fixed value) input. Scenarios having a point input, but values of an output which can vary over a range for the point input, can also be studied.

The automotive industry is required to deal with increasingly stringent legislationfor greenhouse gases. Hybrid Electric Vehicles, HEV, are gaining acceptance as thefuture path of lower emissions and fuel consumption. The increased complexityof multiple prime movers demand more advanced control systems, where futuredriving conditions also becomes interesting. For a plug-in Hybrid Electric Vehicle,PIHEV, it is important to utilize the comparatively inexpensive electric energybefore the driving cycle is complete, this for minimize the cost of the driving cycle,since the battery in a PIHEV can be charged from the grid. A strategy with lengthinformation of the driving cycle from a global positioning system, GPS, couldreduce the cost of driving. This by starting to blend the electric energy with fuelearlier, a strategy called blended driving accomplish this by distribute the electricenergy, that is charged externally, with fuel over the driving cycle, and also ensurethat the battery’s minimum level reaches before the driving cycle is finished. Astrategy called Charge Depleting Charge Sustaining, CDCS, does not need lengthinformation. This strategy first depletes the battery to a minimum State of Charge,SOC, and after this engages the engine to maintain the SOC at this level. In thisthesis, a variable SOC reference is developed, which is dependent on knowledgeabout the cycle’s length and the current length the vehicle has driven in the cycle.With assistance of a variable SOC reference, is a blended strategy realized. Thisis used to minimize the cost of a driving cycle. A comparison between the blendedstrategy and the CDCS strategy was done, where the CDCS strategy uses a fixedSOC reference. During simulation is the usage of fuel minimized; and the blendedstrategy decreases the cost of the driving missions compared to the CDCS strategy.To solve the energy management problem is a model predictive control used. Thedesigned control system follows the driving cycles, is charge sustaining and solvesthe energy management problem during simulation. The system also handlesmoderate model errors.<br>Fordonsindustrin måste hantera allt strängare lagkrav mot utsläpp av emissioneroch växthusgaser. Hybridfordon har börjat betraktas som den framtida vägenför att ytterligare minska utsläpp och användning av fossila bränslen. Den ökadekomplexiteten från flera olika motorer kräver mera avancerade styrsystem. Begränsningarfrån motorernas energikällor gör att framtida förhållanden är viktigaatt estimera. För plug-in hybridfordon, PIHEV, är det viktigt att använda denvvijämförelsevis billiga elektriska energin innan fordonet har nått fram till slutdestinationen.Batteriets nuvarande energimängd mäts i dess State of Charge, SOC.Genom att utnyttja information om hur långt det är till slutdestinationen från ettGlobal Positioning System, GPS, blandar styrsystemet den elektriska energin medbränsle från början, detta kallas för blandad körning. En strategi som inte hartillgång till hur långt fordonet ska köras kallas Charge Depleting Charge Sustaining,CDCS. Denna strategi använder först energin från batteriet, för att sedanbörja använda förbränningsmotorn när SOC:s miniminivå har nåtts. Strategin attanvända GPS informationen är jämförd med en strategi som inte har tillgång tillinformation om körcykelns längd. Blandad körning använder en variabel SOC referens,till skillnad från CDCS strategin som använder sig av en konstant referenspå SOC:s miniminivå. Den variabla SOC referensen beror på hur långt fordonethar kört av den totala körsträckan, med hjälp av denna realiseras en blandad körning.Från simuleringarna visade det sig att blandad körning gav minskad kostnadför de simulerade körcyklerna jämfört med en CDCS strategi. En modellbaseradprediktionsreglering används för att lösa energifördelningsproblemet. Styrsystemetföljer körcykler och löser energifördelningsproblemet för de olika drivkällorna undersimuleringarna. Styrsystemet hanterar även måttliga modellfel.

Georgia Tech has the privilege of competing in EcoCAR 3, a four-year competition in which 16 universities are given a stock 2016 Chevrolet Camaro and work to transform it into a hybrid electric sports car. In this thesis, an overview of the first two years of the author’s work on the team as the Engineering Manager, the graduate student overseeing all vehicle engineering work, will be detailed. The competition will be introduced and described before a discussion on vehicle electrification and the various ways it has been achieved by manufacturers and competition teams. Next, the design of the Georgia Tech vehicle will be presented with a focus on powertrain and supporting component selection. The vehicle model underlying many of these decisions will then be discussed in detail, showing how the team used Simulink and Engineering Equation Solver to effectively predict vehicle performance, emissions, energy consumption, and cooling needs. Building on this, the controls design process known as model/software/hardware in the loop will be discussed in the context of the Georgia Tech team’s use of this process. Finally, a progress update will be given, including photos of the team vehicle in current build state weeks before the Year 2 Competition.

With the increasing adoption and usage of hybrid electric vehicle (HEV) technologies, there is a growing recognition that attributes such as dynamics, driveability and refinement can have an adverse affect on customer acceptance. There are a number of new challenges associated with their refinement, in particular their sound quality. These issues include: understanding customers’ perceptions of new sound sources, such as electric motor/generators (M/G) and electronic switching devices; reduced masking from the internal combustion engine (ICE); the effect that a more advanced control strategy can have on vehicle-level sound (both internally and externally); and the effect of new sound character on customer perception. Given these new challenges for the sound quality of HEVs, the best approach for learning about perceptions needed to be determined. Interactive noise, vibration and harshness (NVH) simulation is well suited to further our understanding of these issues. The process for developing models for interactive NVH simulation of conventional vehicles is well established. However, research was necessary to both enhance this process for the creation of HEV models and to create new assessment methods. This report gives a brief overview of a project to deliver this. The key stages were: classification of unique HEV operations; development of a HEV NVH model; validation of the NVH model to determine its suitability for interactive simulation; leading onto recommendations for the use of new HEV sound quality models for assessment. An interactive HEV model has been successfully created and used in a number of newly created HEV sound quality evaluations. Three assessments were created and carried out which addressed new HEV related refinement issues of varying ICE masking, varying control strategy and the effect of added interior synthesized sound on customer perception. Key findings included: preference for reduced internal combustion engine (ICE) sound in the Toyota Prius and significant differences in perception of the same HEV, over the same drive cycle with varying initial battery state-of-charge (SoC). The process developed and carried out and learning achieved has been documented as a selection of flowcharts and can be used by OEMs or sound specialists as a means for improving HEV sound quality.

Optimal control of energy flows in a Hybrid Electric Vehicle (HEV) is crucial to maximising the benefits of hybridisation. The problem is complex because the optimal solution depends on future power demands, which are often unknown. Stochastic Dynamic Programming (SDP) is among the most advanced control optimisation algorithms proposed and incorporates a stochastic representation of the future. The potential of a fully developed SDP controller has not yet been demonstrated on a real vehicle; this work presents what is believed to be the most concerted and complete attempt to do so. In characterising typical driving patterns of the target vehicles this work included the development and trial of an eco-driving driver assistance system; this aims to reduce fuel consumption by encouraging reduced rates of acceleration and efficient use of the gears via visual and audible feedback. Field trials were undertaken using 15 light commercial vehicles over four weeks covering a total of 39,300 km. Average fuel savings of 7.6% and up to 12% were demonstrated. Data from the trials were used to assess the degree to which various legislative test cycles represent the vehicles’ real-world use and the LA92 cycle was found to be the closest statistical match. Various practical considerations in SDP controller development are addressed such as the choice of discount factor and how charge sustaining characteristics of the policy can be examined and adjusted. These contributions are collated into a method for robust implementation of the SDP algorithm. Most reported HEV controllers neglect the significant complications resulting from extensive use of the electrical powertrain at high power, such as increased heat generation and battery stress. In this work a novel cost function incorporates the square of battery C-rate as an indicator of electric powertrain stress, with the aim of lessening the affliction of real-world concerns such as temperatures and battery health. Controllers were tested in simulation and then implemented on a test vehicle; the challenges encountered in doing so are discussed. Testing was performed on a chassis dynamometer using the LA92 test cycle and the novel cost function was found to enable the SDP algorithm to reduce electrical powertrain stress by 13% without sacrificing any fuel savings, which is likely to be beneficial to battery health.

EPA testing methods for calculation of fuel economy label ratings, which were revised beginning in 2008, use equations that weight the contributions of fuel consumption results from multiple dynamometer tests to synthesize city and highway estimates that reflect average U.S. driving patterns. The equations incorporate effects with varying weightings into the final fuel consumption, which are explained in this thesis paper, including illustrations from testing. Some of the test results used in the computation come from individual phases within the certification driving cycles. This methodology causes additional complexities for hybrid electric vehicles, because although they are required to have charge-balanced batteries over the course of a full drive cycle, they may have net charge or discharge within the individual phases. The fundamentals of studying battery charge-balance are discussed in this paper, followed by a detailed investigation of the implications of per-phase charge correction that was undertaken through testing of a 2010 Toyota Prius at Argonne National Laboratoryâ s vehicle dynamometer test facility. Using the charge-correction curves obtained through testing shows that phase fuel economy can be significantly skewed by natural charge imbalance, although the end effect on the fuel economy label is not as large. Finally, the characteristics of the current 5-cycle fuel economy testing method are compared to previous methods through a vehicle simulation study which shows that the magnitude of impact from mass and aerodynamic parameters vary between labeling methods and vehicle types.<br>Master of Science

The requirements on fuel consumption and emissions for passenger cars are getting stricter every year. This has forced the vehicle industry to look for ways to improve the performance of the driveline. With the increasing focus on electrification, a common method is to combine an electrical driveline with a conventional driveline that uses a petrol or diesel engine, thus creating a hybrid electric vehicle. To fully be able to utilise the potential of the driveline in such a vehicle, an efficient energy management strategy is needed. This thesis describes the development of an efficient route-based energy management strategy. Three different optimisation strategies are combined, deterministic dynamic programming, equivalent consumption minimisation strategy and convex optimisation, together with segmentation of the input data. The developed strategy shows a decrease in computational time with up to more than one hundred times compared to a benchmark algorithm. When implemented in Volvo's simulation tool, VSim, substantial fuel savings of up to ten percent is shown compared to a charge-depleting charge-sustain strategy.

Face à l'augmentation du prix du carburant et des exigences légales rigoureuses sur les émissions de gaz à effet de serre ces dernières années, les fabricants de camions doivent s'interroger davantage sur les nouvelles mesures techniques pour être plus compétitifs sur le marché. Dans ce contexte, l'électromobilité est l'une des approches les plus prometteuses pour répondre aux exigences ci-dessus, où sa solution principale est l'hybridation électrique du groupe motopropulseur. Parallèlement à cette solution, une autre solution technique de l'électromobilité, l'électrification auxiliaire qui apparaît récemment, devient aussi une solution attrayante non seulement pour le milieu universitaire, mais aussi pour les entreprises de l'automobile. Cependant, l'intégration de ces deux solutions dans un véhicule peut donner lieu à un problème de commande du système beaucoup plus compliqué, notamment en terme de gestion de l'énergie. L'objectif de ce travail est de concevoir une approche appropriée pour la conception de la commande auxiliaire électrifiée, qui peut gérer d'une part la stratégie de commande du groupe motopropulseur hybride électrique et, d'autre part, améliorer l'efficacité énergétique globale du véhicule. Tout d'abord, le travail se concentre sur un seul auxiliaire électrifié typique - le système d'alimentation en air. Pour ce cas simple, la modélisation et le contrôle à base d'énergie basés sur le contrôle prédictif (MPC) sont développés afin de minimiser la consommation d'énergie / l'efficacité de cet auxiliaire le long d'un cycle de conduite. En soulignant les difficultés à atteindre l'objectif en matière d'efficacité énergétique en considérant uniquement des unités auxiliaires, l'approche se concentre ensuite sur l'analyse d'impact du système auxiliaire sur l'efficacité énergétique globale du véhicule. La première étape de cette analyse propose une méthode générale pour simplifier le contrôleur de groupe motopropulseur de HEV / PHEVs. Ensuite, une méthode basée sur l'optimisation est présentée et appliquée sur un modèle de véhicule simplifié, qui contient le contrôleur de groupe motopropulseur simple obtenu à partir de l'étape ci-dessus. Cette méthode d'optimisation, qui est un contrôle en mode hors connexion et basée sur la méthode de programmation dynamique, permet de déterminer l'économie d'énergie maximale réalisable du véhicule lors de l'application d'une stratégie de contrôle avancée sur le système auxiliaire électrifié. De plus, certaines idées / règles pour concevoir le contrôle auxiliaire sont également tirées des résultats obtenus avec la méthode ci-dessus. Pour une mise en oeuvre en ligne de ces concepts, un contrôle multi-agent est finalement adopté pour la commande du système auxiliaire électrifié (EAS). Sur la base des résultats de l'étape d'analyse d'impact et d'un modèle simple de l'EAS, trois paramètres de contrôle pour l'EAS (centralisé, hiérarchisé et distribué) sont étudiés et discutés. Enfin, différents algorithmes pour ces paramètres de contrôle sont fournis, puis comparés pour indiquer les avantages et les limites de chaque algorithme<br>Facing to the increase of fuel price and stringent legal requirements on the greenhouse gas emission in recent years, truck manufacturers have to investi-gate more on new technical measures to be more competitive on the market. Within this context, electromobility rises as one of the most promising approaches to answer to above requirements, where its principle solution is the electric hybridization of powertrain. In parallel with this solution, another technical solution of electromobility- the auxiliary electrification that appears recently becomes also an attractive solution for not only the academic community but also the automotive companies. However, the integration of these two solutions together in a vehicle can give rise to a much more complicated system control problem, especially in term of energy management. The objective of this work is to figure out an appropriate approach for designing the electrified auxiliary control, which can cope with the control strategy of the electric hybrid powertrain on one hand, and can improve the overall energy efficiency of the vehicle on the other hand. Firstly, the work focuses on only one typical electrified auxiliary- the air supply system. For this simple case, energy-based modeling and control based on predictive control (MPC) are developed in order to minimize the energy consumption/efficiency of this auxiliary along a driving cycle. By pointing out the difficulties for reaching the target on the energy efficiency when considering only auxiliary units, the approach focuses then on the impact analysis of the auxiliary system on the overall vehicle‘s energy efficiency. The first step of this analysis proposes a general method to simplify the powertrain controller of HEV/PHEVs. Then, an optimization-based method is presented and applied on a simplified vehicle model, which contains the simple powertrain controller obtained from the above step. This optimization method, which is an offline con-trol and based on the dynamic programming method, allows us to determine the maximal achievable energy saving of the vehicle when applying an advanced control strategy on the electrified auxiliary system. Additionally, some ideas/rules for designing the auxiliary control are drawn as well from the results obtained with the above method. Toward an online implementation of these concepts, a multi-agent based control is finally adopted for controlling the electrified auxiliary system (EAS). Based on the results of the impact analysis step and a simple model of the EAS, three control settings for the EAS (centralized, hierarchical, and distributed) are studied and discussed. Finally, different algorithms for these control settings are provided, and then compared to point out the advantages and limitations of each algorithm

This Master’s thesis deals with the issue of lead-acid batteries, which are used in hybrid electric vehicles. The lead-acid batteries works in mode PSoC. In this mode occurs to degradation mechanisms at negative electrodes. These degradation mechanisms reduce the battery life. The practical part of Master’s thesis describes the production and a compilation of experimental cells and experimental part examines the characteristics of lead-acid batteries with the pressure to the electrode system.

In recent years, rules and regulations regarding fuel consumption of vehicles and the amount of emissions produced by them are becoming stricter. This has led the automotive industry to develop more advanced solutions to propel vehicles to meet the legal requirements. The Hybrid Electric Vehicle is one of the solutions that is becoming more popular in the automotive industry. It consists of an electrical driveline combined with a conventional powertrain, propelled by either a diesel or petrol engine. Two power sources create the possibility to choose when and how to use the power sources to propel the vehicle. The strategy that decides how this is done is referred to as an energy management strategy. Today most energy management strategies only try to reduce fuel consumption using models that describe the steady state behaviour of the engine. In other words, no reduction of emissions is achieved and all transient behaviour is considered negligible.  In this thesis, an energy management strategy incorporating engine dynamics to reduce fuel consumption and nitrogen oxide emissions have been designed. First, the models that describe how fuel consumption and nitrogen oxide emissions behave during transient engine operation are developed. Then, an energy management strategy is developed consisting of a model predictive controller that combines the equivalent consumption minimization strategy and convex optimization. Results indicate that by considering engine dynamics in the energy management strategy, both fuel consumption and nitrogen oxide emissions can be reduced. Furthermore, it is also shown that the major reduction in fuel consumption and nitrogen oxide emissions is achieved for short prediction horizons.

This master thesis project aims to complete and verify core functions of a test rig that is designed and built to emulate drive cycles for measuring the energy consumption of HEVs, especially a vehicle named ELBA from KTH Integrated Transport Research Lab (ITRL). To fulfill this goal, a simplified model is created for the test rig, whose involved parameters are identified through various experiments. Then the model is verified by both step voltage responses and sinusoidal current responses. Meanwhile, vehicle dynamics is modeled to calculate required resistance force for road slope emulation. Moreover, an existing method, vehicle equivalent mass, is utilized to compensate dynamic force of the vehicle body, enabling simulation of regenerative braking without an extra flywheel. Together with test rig’s model that is responsible for converting required resistance force to demanded current reference, the rig’s functions are completed and ready for final verification. As a result, the driver of the DC motor on the rig is found to has lower current limitation than required so that the rig is not able to entirely compensate dynamic force of the car. However, the feasibility of the principle is still proved by the tests. Based on the result, recommendations are given to solve the problem and achieve other improvements in the future.<br>Detta examensarbete syftar till att slutföra och verifiera kärnfunktioner i en testrigg som är designad och byggd för att emulera körcykler för att mäta energiförbrukningen för elhybridbilar, särskilt ett fordon som heter ELBA från KTH Integrated Transport Research Lab (ITRL). För att uppfylla detta mål skapades en förenklad modell för testriggen, vars parametrar identifieras genom olika experiment. Sedan verifieras modellen av både stegspänningssvar och sinusformade strömsvar. Under tiden modelleras fordonsdynamiken för att beräkna erforderlig motståndskraft för väglöpemulering. Samtidigt modelleras fordonsdynamiken för att beräkna den erforderliga motståndskraften för emulering av väglutningar. Dessutom används en befintlig metod, fordonsekvivalentmassa, för att kompensera fordonskroppens dynamiska kraft, vilket möjliggör simulering av regenerativ bromsning utan extra svänghjul. Tillsammans med testriggens modell som är ansvarig för att konvertera erforderlig motståndskraft till efterfrågad strömreferens, är riggens funktioner färdig och redo för slutlig verifiering. Som ett resultat har föraren av likström motorn på riggen visat sig ha lägre strömbegränsning än vad som krävs så att riggen inte helt kan kompensera bilens dynamiska kraft. Emellertid bevisas principens genomförbarhet fortfarande av testerna. Baserat på resultatet ges rekommendationer för att lösa problemet och uppnå andra förbättringar i framtiden.

The lead-acid batteries are most commonly used electrochemical power source. The lead-acid battery is the oldest type of secondary battery cells. This lead-acid batteries have a great use in hybrid electric vehicles (HEVs), which operate in different modes of vehicle operation. This is related to changes in battery temperature, caused by Joule heat taking place during discharging and chargingg the battery in a vehicle operation. The lead-acid batteries in hybrid electric vehicles work in mode PSoC.

The goal of the thesis is to study literature and to become familiar with problems of accumulators operating in the mode of hybrid electric vehicles (HEV). To work up problems of a potential impact of the influence on the system of the lead accumulator. Assemble the experimental cells with discontinuous system of parallel fins and to treat them with different operating modes. Then to evaluate the results.

Lead-acid batteries are most used secondary electrochemical power sources. Their basic principle has remained the same for several years; only the operating parameters are in development. Lead-acid batteries are used in hybrid electric vehicles (HEV), which operates in the partial charge PSoC. Sulphation is one of the possible failures lead-acid batteries in the HEV, especially the negative electrode. By adding additives to the negative active mass can reduce the rate of sulphation and increase ability to accept an electrical charge by negative electrode.

This Master’s thesis deals with the lead-acid batteries, which are alternativ power supply. The lead-acid batteries are the oldest type of battery cells. This lead-acid batteries have a great use in hybrid electric vehicles (HEVs), which operate in different modes of vehicle operation. These modes correspond to the reactions taking place during discharging and charging the battery. The lead-acid batteries in hybrid electric vehicles work in mode PSoC. The practical part of the Master`s thesis examines how the characteristics of lead-acid batteries are modified due to admixture of glass fibers into negative active material and application of pressure to the electrode system.

Une des voies d’amélioration des véhicules hybrides et électriques est l’utilisation de moteurs tournant plus vite, jusqu’à plus de 42.000tr/min. Le but est d’augmenter la densité de puissance et le rendement des groupes motopropulseurs. Pour utiliser ces moteurs de nouveaux réducteurs mécaniques doivent être développés. Cela doit se faire sans générer de surcoût important face aux solutions utilisées à basse vitesse et en assurant un niveau de performance énergétique élevé. Cette thèse se situe en amont de la phase de conception d’un réducteur haute vitesse lubrifié par barbotage. Elle a pour but d’identifier les problèmes d’échauffement et de pertes de puissance ainsi que de proposer des pistes d’amélioration énergétique. Ce travaille propose la modélisation thermomécanique de l’étage grande vitesse (GV) du réducteur, réalisée à l’aide de la méthode des réseaux thermiques. Ce modèle couple les pertes de puissance avec les températures. Une attention particulière est portée sur la modélisation des roulements de l’arbre GV. Un nouveau modèle thermomécanique de roulement est développé. Les pertes par barbotage deviennent importantes à grande vitesse. Une méthode permettant de fortement les réduire est caractérisée<br>A way to improve both electric and hybrid vehicles is to use high speed motors, operating over than 42.000rpm. The goal is to increase the power density and the efficiency of powertrains. Using these new motors, new gearboxes should be developed. This must be done without generating significant additional cost regarding already mastered low speed solutions. High energy performance level also has to be maintained. This PhD comes before the design phase of a high-speed oil bath lubricated gearbox. It aims to identify the warm-up and power loss problems, and propose ways to improve efficiency. This work proposes a thermomechanical modelling of the gearbox’s first stage, using the thermal network method. This model links power losses with temperatures. Particular attention is paid to high speed bearing modelling. A new thermomechanical model of rolling element bearing is developed. As churning losses being significant at high speeds, a method to greatly reduce this power loss is characterized

In recent years, the increasing cost of oil and Earth global warming due to greenhouse gases have pushed the scientific research, the governments and thus the markets in the direction of a higher efficiency of the systems in order to reduce the use of this fuel and therefore its associated emissions of CO2. Nowadays, the most involved sectors of this technological revolution are the fields of electricity generation and the transportation. In fact, these two sectors are the main accountable of CO2 global emission, that are associated for about 45% to electricity generation and for about 30% to transport. Moreover, it should be noted that although the oil is not a renewable energy source, currently about 40% of the production world energy depends on oil and the level of dependence rises to about 80% in the transportation sector where the majority of vehicles is powered by an engine fueled by oil derivatives. For these reasons, the scientific research in the last decade was focusing on these issues in particular in emerging fields such as distributed cogeneration and hybrid electric vehicles. In particular, new systems of distributed energy are studied, which are capable to increase the energy efficiency of the plant because the electrical and thermal energy are produced in combined way and directly in the site where they are required. In this way the losses of the network can be reduced. Instead, in the field of hybrid electric vehicles the use of the electric machine can help to increase the efficiency of the power-train in the various working points. These hybrid systems allow to reduce up to 30% the fuel consumption and associated emissions compared to a conventional vehicle. With this historical context this thesis is focused in the study of a power-train structure of domestic cogeneration system or a vehicle, namely the analysis of a system composed by an internal combustion engine directly connected to an electric machine. The two principal tasks of the electric machine are: startup of the internal combustion engine and generate on electric energy. In the case of a hybrid electric vehicle, in addition to those listed above, there are other two operation modes that are: increase the engine torque during the acceleration and recovering the energy during braking phase. Among the various types of electrical machines existing in the market, the permanent magnet synchronous machines take up an important position in the cogeneration and hybrid vehicle fields. In fact, this kind of electric machine allows to obtain: a high performance, high torque density, high overload capacity, a good robust construction, compact volume, and therefore low weight. Furthermore this type of electric machine can work at variable speeds and operate as motor and as generator with comparable performance. For this reason in this Ph.D. thesis the electrical drives composed by an internal combustion engines direct connected to permanent magnet synchronous electric machines will be presented. The author’s doctoral thesis has been carried out at the Electric Drive Laboratory of University of Padova, which since more than twenty years is active in the design of electrical machines and their control through research projects with industrial partners and scientific publications in journals and in international conferences. Therefore, although in the literature there are several books discussing an electric drives, thanks to the experience acquired in this laboratory the author intention is to emphasize with greater detail the aspects and basic notions which in his opinion are fundamental to the design of on electric drive devoted to the applications subject of this work. In addition, in the opinion of the author, unlike a paper on journal or conference the doctoral thesis should be reasonably self-contained and should be understandable even by a non expert of this field of research; therefore also basic aspects of an electric drive and its control have been reported with detail. So the work reported in this thesis is essentially composed by two parts, the first part is made up by the first four Chapters and the second one is composed by the last two Chapters. In the first part of Ph.D. thesis the basic aspects, that are required for a good knowledge on the electric drives field, have been reported. In particular the design aspects and fundamental characteristics of electric machine control, operating limits of a permanent magnet synchronous machine, and power converter have been pointed out. The second part of Ph.D. thesis is focused on the design aspects of electric drive for a domestic cogeneration system and for hybrid electric motorcycle. In particular for CHP system some effective techniques, that can help to reduce the vibration and noise problems due to the internal combustion engine, have been described. In the field of hybrid electric motorcycle the main design choices carried out in order to achieve a hybrid electric motorcycle prototype with good performance are reported.<br>In questi ultimi anni l’aumento del costo del petrolio e il riscaldamento globale della terra dovuto ai gas serra ha spinto il settore scientifico, i governi e quindi il mercato nella direzione di una più alta efficienza dei sistemi con lo scopo di ridurre l’utilizzo di questo combustibile e quindi le sue emissioni di CO2 associate. Oggigiorno i settori più coinvolti in questa rivoluzione tecnologica sono il settori della generazione di energia elettrica e il settore dei trasporti. Infatti questi due settori sono i principali responsabili di emissioni di CO2 globali della terra che sono associate per circa il 45% alla generazione elettrica e per circa 30% ai trasporti. Inoltre va ricordato che sebbene il petrolio non sia una fonte di energia rinnovabile attualmente circa il 40% dell’energia mondiale dipende dal petrolio e questo livello di dipendenza sale a circa 80% nel settore dei trasporti dove la maggior parte dei veicoli è spinta da un motore alimentato da derivati del petrolio. Per questi motivi la ricerca scientifica negli ultimi dieci anni si sta concentrando su questi problematiche in particolare nei settori emergenti quali cogenerazione distribuita e veicoli ibridi. In particolare vengono studiati nuovi impianti di energia distribuita capaci di aumentare l’efficienza energetica producendo in maniera combinata energia elettrica e termica direttamente dove richiesta e solo se necessaria in questo modo si riducendo le perdite di rete. Nel settore dei veicoli ibridi invece l’utilizzo del motore elettrico può aiutare ad aumentare l’efficienza del motore termico nei vari punti di lavoro, questi sistemi consentono infatti di migliorare fino al 30% le prestazioni in termini di consumi ed emissioni rispetto ad un veicolo tradizionale. Con questo contesto storico la tesi si è focalizzata nello studio di una struttura della catena di potenza di un veicolo o di un sistema di cogenerazione di piccola taglia ossia l’analisi di un sistema composto da un motore endotermico direttamente calettato con una macchina elettrica. La macchina elettrica viene generalmente utilizzata con due funzioni principali: avviare il motore a combustione e generare energia elettrica. Nel caso di un veicolo ibrido vi sono altre due funzioni che si aggiungono a quelle appena elencate ossia la fase di incremento di coppia durante le accelerazioni e una fase di recupera di energia durante le frenate. Tra le varie tipologie di macchine elettriche esistenti nel mercato, le macchine sincrone a magnete permanente occupano un posto di rilievo in questi settori. Infatti questa tipologia di macchina elettrica consente di ottenere: un alto rendimento, un’alta densità di coppia, notevole capacità di sovraccarico, una buona robustezza costruttiva, volumi compatti e quindi peso ridotto. Inoltre questo tipo di macchina può lavorare a velocità variabile e può operare con prestazioni aragonabili sia come motore che come generatore. Per questo motivo nella tesi verranno presentati azionamenti elettrici basati su motori a combustione interna calettati a macchine elettriche sincrone a magneti permanenti. La tesi di dottorato dell’autore è stata svolta presso il laboratorio di azionamenti elettrici di Padova, il quale da più di venti anni è attivo nel campo della progettazione di macchine elettriche e del loro controllo mediante progetti di ricerca con partner industriali e pubblicazioni scientifiche su riviste e su conferenze internazionali. Quindi sebbene siano presenti in letteratura molti libri che parlano di azionamenti elettrici grazie all’esperienza dell’autore maturata in questo laboratorio l’autore ha voluto enfatizzare con maggiore dettaglio gli aspetti e le nozioni che secondo la sua opinione sono fondamentali per la progettazione di un azionamento elettrico. Inoltre secondo il parere dell’autore al tesi di dottorato a differenza di un articolo su conferenza o su rivista deve essere autonoma e deve poter essere compresa anche da un non esperto del settore pertanto sono stati riportati con dettaglio anche aspetti base di una azionamento elettrico e del controllo motore. Quindi il lavoro riportato in questa tesi di dottorato è diviso sostanzialmente in due parti la prima composta dai primi quattro capitoli e la seconda parte composta dagli ultimi due capitoli. Nella prima parte sono state riportate le nozioni fondamentali necessarie per una buona conoscenza sul settore degli azionamenti elettrici in particolare nella parte di controllo motore, limiti di funzionamento di un motore sincrono a magneti permanenti e inverter di potenza. Mentre la seconda parte si è focalizzata sulla descrizione della progettazione di un azionamento per un sistema di cogenerazione domestica e per motociclette ibride. Nell’ambito della cogenerazione sono state descritte alcune tecniche che consentono di ridurre il problema delle vibrazioni dovute al motore a combustione interna. Nel settore della motocicletta ibrida sono state mostrate le principali scelte di progettazione effettuate per realizzare un prototipo efficace e funzionante di motocicletta ibrida.

This thesis deals with issues of the issue lead-acid batteries and their application in mode of hybrid electric vehicle. The experiment is focused on the production of electrodes to determine the effect five types of additives in negative active mass in PsoC(Partial State of Charge) mode. This simulates conditions occurring in the mode of hybrid electric vehicles (HEV).

The purpose of this thesis is to examine the feasibility of using a microturbine to power an off-road Series Hybrid Autonomous Vehicle (SHEV), and evaluate the benefits and drawbacks inherent in using a microturbine rather than an Internal Combustion Engine (ICE). The specific power plant requirements for a low speed hybrid vehicle that must operate extensively as an Electric Vehicle (EV) and run on JP-8 (a diesel equivalent) are unusual; few options can adequately address all of these needs. Most development of Hybrid Electric Vehicles (HEVs) has focused on gasoline ICE power plants, but Diesel ICEs are heavier, which has an adverse effect on EV range. While mechanically-linked turbine vehicles failed to have the same performance abilities of their ICE counterparts, a microturbine generator-powered SHEV can take advantage of its battery pack to avoid the issues inherent in its mechanical predecessors. A microturbine generator is mechanically decoupled from the powertrain, allowing for an incredibly power dense power plant that lightens the weight of the vehicle. This weight reduction directly correlates to an increased EV operational range, enhancing mobility, stealth, and the tactical effectiveness of the squad that the vehicle is intended to support. To determine the full impact that a microturbine might have on this specific SHEV, modeling of the vehicle was conducted to directly compare a microturbine and an ICE power plant using two drive cycles that were designed to simulate the typical operation specific to the vehicle. Drive cycle analysis revealed that the improved EV performance and design flexibility offered by the microturbine's weight justifies the selection of a microturbine over an ICE for this specific case. This decision is dependent upon several factors: a microturbine with fuel efficiency comparable to an ICE, the selection of a large battery pack, and an emphasis on EV operations.<br>Master of Science

This dissertation identifies the average treatment effect of state level incentives for hybrid vehicles, identifies individual-level predictors of early adopters, and attempts to understand why states adopt these incentives. These questions are estimated using traditional parametric techniques, logistic regression, difference-in-difference regression, and fixed effects. In particular, this dissertation looks at changes in aggregate demand on two comparison groups: (1) the natural control group, states that did not adopt subsidies, and (2) a constructed control group, states that proposed subsidies during this same time period but did not adopt them. In addition to these parametric models, propensity score matching was used to construct a third comparison group using the models that identified determinants of the policy adoption. These findings were supplemented by exploratory analyses using the individual-level National Household Travel Survey. This multitude of evaluative analyses shows that HOV lane exemptions, if implemented in places with high traffic congestion, were found to impact aggregate demand and an individual's propensity to adopt a hybrid, while traditional incentives had limited impact. These analyses provide insight into why states adopt certain policies and the circumstances in which these incentives are effective. Since people may be motivated by factors other than economic factors, creating effective incentives for energy efficiency technologies may be more challenging than just offsetting the price differential. Instead, customization to the local community's characteristics could help increase the efficacy of such policies.

The aim of the research is to explain the causes underlying the great differences in the adoption of hybrid electric vehicles between France and Italy. The research proposes a model for explaining the existing gap, which includes findings from previous studies and which attempts to go beyond that by introducing other key variables. In order to fulfill the analysis, a survey is delivered to drivers of both countries for evaluating their purchase intention.

Thesis (M.S.)--West Virginia University, 2001.<br>Title from document title page. Document formatted into pages; contains viii, 109 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 71-72).

Une plus grande utilisation des véhicules électriques (VE) et hybrides rechargeables exige une conception efficace des stations de recharge pour fournir des taux de charge appropriés. Le raccordement d'une station sur le réseau électrique conventionnel provoquerait des perturbations, ce qui augmenterait le coût de la recharge. Par conséquent, dans ce scénario, l'utilisation de sources renouvelables sur site telles que l'énergie photovoltaïque (PV) en appui au réseau conventionnel peut augmenter les performances de la station de recharge. Dans cette thèse, une source PV est utilisée conjointement avec le réseau pour compléter la charge des VE. Cependant, le PV est connu pour sa nature intermittente qui dépend fortement des conditions géographiques et météorologiques. Ainsi, pour compenser l'intermittence du PV, un système de stockage à batterie (BSS) est combiné avec le PV dans un système raccordé au réseau, fournissant un fonctionnement stable de la station de recharge PV hybride.En général, les stations de recharge hybrides devraient être rentables, efficientes et fiables pour répondre aux besoins variables de la charge des VE dans différents scénarios. Dans cette thèse, une stratégie efficace de gestion hiérarchique de l'énergie est proposée et appliquée pour maximiser l'énergie photovoltaïque sur site, pour répondre à la charge variable des VE en utilisant une réponse rapide du BSS et en réduisant la sollicitation de réseau. Cette stratégie globale améliore la performance ainsi que la fiabilité et la rentabilité.Un étage de conversion de puissance bidirectionnel efficace est introduit pour le BSS sous la forme d'un convertisseur buck-boost entrelacé pour assurer le fonctionnement du BSS et réduire les pertes pendant la phase de conversion. Cette topologie a des caractéristiques qui permettent d'améliorer les ondulations du courant et par conséquent, d'augmenter considérablement la qualité de l'énergie. De même, pour extraire la puissance maximale du système PV dans des conditions météorologiques intermittentes, une MPPT est utilisée en même temps que le convertisseur élévateur entrelacé pour assurer la continuité de la puissance de la source PV. De même, pour l'étage de charge des véhicules, afin de répondre aux demandes dynamiques de puissance des VE ; tout en maintenant l'équilibre entre les quantités de production disponibles, un convertisseur d'entrelacement est proposé en complément de la stratégie de sous-gestion. En particulier, cette étape de conversion et de gestion porte sur la faible utilisation du réseau notamment lors de pointes de puissance. Ceci diminue considérablement la perturbation sur le réseau, surtout aux heures de pointe, et améliore donc la performance du système dans son ensemble.Pour exploiter l'ensemble du système dans des conditions souhaitables, une stratégie de gestion de l'énergie en ligne est proposée. Cette stratégie en temps réel fonctionne de manière hiérarchique, en s'initialisant à partir d'une utilisation maximale de la source PV, puis en utilisant le BSS pour compléter l'alimentation et en utilisant le réseau en cas de conditions intermittentes ou lorsque la quantité de PV est faible. La stratégie de gestion assure un fonctionnement fiable du système, tout en maximisant l'utilisation du PV, en répondant à la demande des VE et en maximisant la durée de vie du BSS. Dans cette thèse, un système de charge hybride basé sur le PV, le BSS et le réseau conventionnel est proposé pour répondre aux besoins de charge des VE. Une étape efficace de conversion de l'énergie a été proposée en utilisant des convertisseurs entrelacés de type buck-boost pour améliorer la qualité de l'énergie et, en fin de compte, une stratégie de gestion en ligne est développée pour maximiser l'utilisation de l'énergie renouvelable, en insérant moins de stress sur le réseau et en améliorant l'utilisation du BSS<br>Higher penetration of electric vehicles (EV) and plug-in hybrid electric vehicles requires efficient design of charging stations to supply appropriate charging rates. This would trigger stress on conventional grid, thus increasing the cost of charging. Therefore, in this scenario the use of on-site renewable sources such as photovoltaic (PV) energy alongside to the conventional grid can increase the performance of charging station. In this thesis, a PV source is used in conjunction with grid to supplement EV load. However, the PV is known for its intermittent nature that is highly dependent on geographical and weather conditions. So, to compensate the intermittency of PV, a battery storage system (BSS) is combined with the PV in a grid-tied system, providing a stable operation of hybrid PV based charging station.Generally, hybrid sources based charging station should be cost effective, efficient, and reliable to supplement the variable needs of EVs load in different scenarios. In this thesis, efficient hierarchical energy management strategy is proposed and applied to maximize on-site PV energy, to meet the variable load of EVs using quick response of BSS and putting less stress on grid. This strategy overall improves the performance and is reliable and cost-effective.An efficient bidirectional power conversion stage is introduced for BSS in the form of interleaved buck-boost converter to ensure the safe operation of BSS and reduce the losses during conversion stage. This topology has characteristics to improve the current ripples and therefore, increase the power quality drastically. Similarly, to extract the maximum power from PV system under intermittent weather conditions, MPPT is used alongside with interleaved boost converter to ensure the continuity of power from PV source. Similarly, for vehicles charger stage, to meet the dynamic power demands of EVs; while, keeping the balance between available generation amounts, interleave converter is proposed combined to sub-management strategy. Particularly, this conversion stage and management addresses the low utilization of grid sources for charging purpose when, peak load is present at grid side. This charging behaviour greatly decreases the stress on grid especially at peak hours and therefore, improves the performance of system in overall.To operate whole system under desirable conditions, an online energy management strategy is proposed. This real-time strategy works in hierarchical manner, initializing from maximized utilization of PV source, then using BSS to supplement power and utilizing grid during intermittent conditions or when there is low amount of PV. The management strategy ensure reliable operation of system, while maximizing the PV utilization, meeting the EVs demand and maximizing the life the BSS.In this thesis, a hybrid charging system based on PV, BSS and conventional grid is proposed to support the needs of EVs load. Efficient energy conversion stage has been proposed using interleave buck-boost converters to improve the quality of power and at the end, an online management strategy is developed to maximize the renewable energy utilization, inserting lesser stress on grid and improving the utilization of BSS to improve its life

Design of hybrid vehicles is a hot topic because of the strict restriction on the emissions of the vehicle. The optimal design of hybrid vehicles becomes necessary to reduce the cost or emissions of the vehicle. The propulsion system of a hybrid electric vehicle is inherently more complex than that of a conventional vehicle as an electric power supply branch is added. The design involves topology design, component design and control design, where all phases are interrelated. The idea to handle all the three design phases together is called system level design. Due to its complexity, it is not possible time wise to evaluate all possible design options. Optimization algorithms are therefore needed to speed up the process. The variable types that appear in each design phase are different and multiple algorithms are needed. In this thesis, different algorithms are studied for their robustness for both continuous variables and discrete variables, as well as benchmarked for the Volvo internal optimization platform afterwards. Standard test cases are used to validate the algorithms and several features are added to an algorithm to make it more generic and efficient. Based on theoretical and experimental studies, recommendations for the selection of algorithms are proposed based on different types of variables.Based on the optimization platform, several different optimization coordination architectures for system level design are introduced and simultaneous and nested coordination architectures are tested by one specific industrial case in the second part of the thesis. Both methods appeared to be promising according to the result of the test case and they managed to reduce the convergence time dramatically. The vehicle model used was not precise enough to prove which method is the superior one but a more precise model can be introduced in the future to facilitate such a conclusion.<br>Hybridfordon är ett aktuellt ämne, på grund av den strikta regleringen gällande fordonsutsläpp. Den optimala designen av hybridfordon är nödvändig för att reducera kostnaden eller utsläppen. Motorsystemet hos ett elektriskt hybridfordon blir mer komplicerat än det hos ett konventionellt fordon, eftersom man måste ta hänsyn till försörjningen av elektrisk energi. Designprocessen involverar design av topologi, design av komponenter samt design av kontrollsystem. Idéen om att sammanfoga alla tre designfaser kallas systemnivådesign. På grund av komplexiteten är det tidsmässigt inte möjligt att evaluera samtliga möjliga designval. Därför behövs optimeringsalgoritmer för att snabba på processen. Olika typer av variabler berörs i de olika designfaserna och därför behövs olika algoritmer. I avhandlingen undersöks olika algoritmers robusthet för kontinuerliga och diskreta variabler samt deras prestanda mot en intern optimeringsplattform. Standardiserade testfall används för att validera algoritmerna vartefter algoritmerna görs mer effektiva och generella. Baserat på teoretiska och experimentella studier föreslås rekommendationer för val av algoritmer baserat på olika typer av variabler. Baserat på optimeringsplattformen introduceras flera olika optimeringskoordinationsarkitekturer för systemnivådesign, och samtidiga och samordnade koordinationsarkitekturer testas för ett specifikt industrifall i den andra delen av avhandlingen. Båda metoderna tycktes vara lovande enligt resultatet av testfallet, och de lyckades sänka konvergensperioden dramatiskt. Den använda fordonsmodellen var inte tillräckligt exakt för att bevisa vilken metod som är den överlägsna, men en mer exakt modell kan introduceras i framtiden för att underlätta en sådan slutsats.

The new emission regulations for new trucks was made to decrease the CO2 emissions by 30% from 2020 to 2030. One of the solutions is hybridizing the truck powertrain with 48V or 600V that can recover brake energy with electrical machines and batteries. The control of this hybrid powertrain is key to increase fuel efficiency. The idea behind this approach is to combine two different power sources, an internal combustion engine and a battery driven electric machine, and use both to provide tractive forces to the vehicle. This approach requires a HEV controller to operate the power flow within the systems. The HEV controller is the key to maximize fuel savings which contains an energy management strategy. It uses the knowledge of the road profile ahead by GPS and maps, and strongly interacts with the control of the cruise speed, automated gear shifts, powertrain modes and state of charge. In this master thesis, the dynamic programming strategy is used as predictive energy management for hybrid electric truck in forward- facing simulation environment. An analysis of predictive energy management is thus done for receding and full horizon length on flat and hilly drive cycle, where fuel consumption and recuperation energy will be regarded as the primary factor. Another important factor to consider is the powertrain mode of the vehicle with different penalty values. The result from horizon study indicates that the long receding horizon length has a benefit to store more recuperative energy. The fuel consumption is decreased for all drive cycle in the comparison with existing Volvo’s strategy.

Thesis (M.S.)--West Virginia University, 2000.<br>Title from document title page. Document formatted into pages; contains xii, 112 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 111-112).

Thesis (M.S.)--West Virginia University, 2001.<br>Title from document title page. Document formatted into pages; contains xiii, 93 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 90-93).

Thesis (M.S.)--West Virginia University, 2007.<br>Title from document title page. Document formatted into pages; contains x, 95 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 59-60).

When hybridizing a vehicle, new components are added that need to be monitored due to safety and legislative demands. Diagnostic aspects due to powertrain hybridization are investigated, such as that there are more mode switches in the hybrid powertrain compared to a conventional powertrain, and that there is a freedom in choosing operating points of the components in the powertrain via the overall energy management and still fulfill the driver torque request. A model of a long haulage truck is developed, and a contribution is a new electric machine model. The machine model is of low complexity, and treats the machine constants in a different way compared to a standard model. It is shown that this model describes the power losses significantly better when adopted to real data, and that this modeling improvement leads to better signal separation between the non-faulty and faulty cases compared to the standard model. To investigate the influence of the energy management design and sensor configuration on the diagnostic performance, two vehicle level diagnosis systems based on different sensor configurations are designed and implemented. It is found that there is a connection between the operating modes of the vehicle and the diagnostic performance, and that this interplay is of special relevance in the system based on few sensors. In consistency based diagnosis it is investigated if there exists a solution to a set of equations with analytical redundancy, i.e. there are more equations than unknown variables. The selection of sets of equations to be included in the diagnosis system and in what order to compute the unknown variables in the used equations affect the diagnostic performance. A systematic method that finds properties and constructs residual generator candidates based on a model has been developed. Methods are also devised for utilization of the residual generators, such as initialization of dynamic residual generators, and for consideration of the fault excitation in the residuals using the internal form of the residual generators. For demonstration, the model of the hybridized truck is used in a simulation study, and it is shown that the methods significantly increase the diagnostic performance. The models used in a diagnosis system need to be accurate for fault detection. Map based models describe the fault free behavior accurately, but fault isolability is often difficult to achieve using this kind of model. To achieve also good fault isolability performance without extensive modeling, a new diagnostic approach is presented. A map based model describes the nominal behavior, and another model, that is less accurate but in which the faults are explicitly included, is used to model how the faults affect the output signals. The approach is exemplified by designing a diagnosis system monitoring the power electronics and the electric machine in a hybrid vehicle, and simulations show that the approach works well.