Academic literature on the topic 'Drive cycle simulation'
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Journal articles on the topic "Drive cycle simulation"
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Froberg, A., and L. Nielsen. "Efficient Drive Cycle Simulation." IEEE Transactions on Vehicular Technology 57, no. 3 (May 2008): 1442–53. http://dx.doi.org/10.1109/tvt.2007.907310.
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Gang, Li, and Yang Zhi. "Energy saving control based on motor efficiency map for electric vehicleswith four-wheel independently driven in-wheel motors." Advances in Mechanical Engineering 10, no. 8 (August 2018): 168781401879306. http://dx.doi.org/10.1177/1687814018793064.
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For four-wheel independently driven in-wheel motor electric vehicles, the four-wheel drive/braking torque can be controlled independently. Therefore, it has an advantage that energy saving control can be applied effectively. This article studies several energy saving control methods from two levels of driving and braking for four-wheel independently driven in-wheel motor electric vehicles under urban conditions based on the motor efficiency map. First, the energy saving control logic and the evaluation index were proposed in the article. The four-wheel drive torque was online optimized in real time through drive energy saving control, in order to improve the driving efficiency in the driving process of electric vehicles. According to the theory of ideal braking force distribution and Economic Commission of Europe braking regulations, the parallel regenerative braking control method based on the motor efficiency map was then studied. The parallel regenerative braking control method was applied to four-wheel independently driven in-wheel motor electric vehicles. The simulation analysis under typical urban driving cycle conditions was carried out to determine the braking intensity of the parallel brake front axle separate regenerative braking, and finally the braking energy recovery rate of electric vehicle can be improved in the low speed and low braking torque. Finally, simulation experiments have been carried out to verify the researched method under the NEDC, UDDS, and J1015 urban driving cycles. The simulation results show that the energy saving control methods have an obvious effect on energy saving under the urban driving cycle conditions.
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Daya, Rohil, John Hoard, Sreedhar Chanda, and Maneet Singh. "Vehicle and Drive Cycle Simulation of a Vacuum Insulated Catalytic Converter." SAE International Journal of Engines 9, no. 3 (April 5, 2016): 1696–708. http://dx.doi.org/10.4271/2016-01-0967.
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Mujianto, Agus, Muhammad Nizam, and Inayati. "Series Plug in Hybrid Vehicle for Urban Driving Cycle." Applied Mechanics and Materials 663 (October 2014): 510–16. http://dx.doi.org/10.4028/www.scientific.net/amm.663.510.
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Urban area is the center of activities. Many people use the vehicle to cover the distance toward their activities places. In order to support the activities a large number of vehicles are moving in urban areas. Consequently, the consumption of fuel will increase from time to time and oil price has increased due to higher of demands. Thus, a plugin hybrid electric vehicle (PHEV) is proven as one of the best practical applications for transportation in order to reduce fuel consumption. One of the types of PHEV is a series PHEV (SPHEV). SPHEV is the simplest type of PHEV but still having higher efficiency of fuel than an internal combustion engine vehicle. This study was focused to discuss on the ability of SPHEV for covering distance and velocity of the urban drive cycle. Three driving cycles namely new European drive cycle (NEDC), extra urban driving cycle (EUDC), and EPA highway fuel economy cycle (HWFET) were used for the simulation using ADVISOR software to study performance of SPHEV. To achieve the best performance of SPHEV, the control strategy based on an artificial intelligence was purposed. The simulation was done by using SPHEV which consisted of15 kW battery, 41 kW engine, and 41 kW DC motor. The performance of SPHEV (fuel consumption and emission) was then compared to a gasoline engine vehicle (GEV). The results showed that SPHEV consumed less fuel and generated less emission during performing all drive cycles.
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Zhang, Xu, Yan Ma, Chun Mei Yang, and Li Fu. "Dynamic Analysis and Design of the Rhombic Drive of Stirling Engine." Advanced Materials Research 429 (January 2012): 165–71. http://dx.doi.org/10.4028/www.scientific.net/amr.429.165.
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The rhombic drive of Stirling engine has been designed in the article, and motion analysis have been carried out according with the requirements of mechanism design in structure. The kinematics mathematical models have been established for rhombic mechanism and the simulation analyses have been carried with the three-dimensional software for the rhombic drive. It makes a point out the optimum position relationship among the link of the rhombic drive during the four processes of the Stirling cycle, and has conducted a mathematical description of piston displacement, velocity and acceleration which drove by the rhombic drive. The simulation curves have showed the relative relationship of position, velocity and acceleration between the two pistons during the body movement. Based on these researches constructive ideas have been offered to improve the rhombic drive in the paper and laid the root for the optimal design of the Stirling engine in theory.
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Wen, Jing, Liang Chu, Jun Nian Wang, Jian Kun Yin, and Yan Bo Wang. "Motor Parameters Matching Based on Motor Loss Model and the Actual Drive Cycle of Hybrid Electric Vehicle." Applied Mechanics and Materials 246-247 (December 2012): 154–58. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.154.
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The paper describes a way of matching the traction motor’s continuous parameters without changing the vehicle’s power performance. First, the traction motor’s peak parameters were matched according to the power performance of the HEV. Second, using the statistical tool, the region of the continuous parameter is set according to traction motor working distribution under actual drive cycle. Third, the continuous parameters were matched according to the motor loss model and the motor test cycle. Finally, vehicle simulation is done in CRUISE, simulation results show HEV traction motor matched using this method can improve the economy performance of the vehicle under certain drive cycle.
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Vámosi, Attila, Levente Czégé, and Imre Kocsis. "Comparison of bus driving cycles elaborated for vehicle dynamic simulation." International Review of Applied Sciences and Engineering 12, no. 1 (March 20, 2021): 86–91. http://dx.doi.org/10.1556/1848.2020.00153.
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AbstractDue to the technological progress, new approaches such as model-based design are spreading in the development process in the automotive industry to meet the increased requirements related to lower fuel consumption and reduced emission. This work is part of a research project which focuses on dynamic modeling of vehicles aimed at analyzing and optimizing the emission and fuel consumption. To model the driver behavior, the simulation control algorithm requires a predetermined speed-time curve as an input. The completeness of this driving cycle is a crucial factor in the simulation, and as far as the legislative driving cycles are not accurate enough, it is indispensable to develop our own one representing our narrower area and driving conditions. This article considers two common drive cycle design methods, comparing the micro-trip-based approach and the Markov-chain approach. The new driving cycle has been developed applying the Markov-chain approach and compared to a driving cycle introduced in our recent paper using the micro-trip method. The comparison basis is the Speed-Acceleration Probability Distribution, which sufficiently reflects the dynamic behavior of the vehicle, and the root mean square error, including parameters such as the average speed, average cruising speed, average acceleration, average deceleration, root mean square acceleration, and idle time percentage. The representative Bus Driving Cycle for Debrecen is prepared to be applied in the vehicle dynamics simulation for evaluating and improving the fuel economy of vehicles, selecting the proper power source for various applications and the optimization of the powertrain and the energy consumption in researches to be continued.
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Karlušić, Juraj, Mihael Cipek, Danijel Pavković, Juraj Benić, Željko Šitum, Zdravko Pandur, and Marijan Šušnjar. "Simulation Models of Skidder Conventional and Hybrid Drive." Forests 11, no. 9 (August 23, 2020): 921. http://dx.doi.org/10.3390/f11090921.
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The paper presents a hypothetical conversion of a conventional cable skidder powertrain to its hybrid version. Simulations of skidder operation were made for two existing forest paths, based on the technical characteristics of the engine, transmission system and the characteristics of the winch. Fuel and time consumption were calculated per working cycle considering the operating conditions (slope, load mass). The model was then converted to a hybrid version by adding a battery energy storage system in parallel with the electrical power generator and by employing an energy management control strategy. The dimensions of the battery and the power generator were chosen based on the characteristics of the existing winch with the aim of completely taking over its operation. The management strategy was selected using the specific fuel consumption map. All simulations were repeated for the hybrid drive under the same operating conditions. The results show that fuel savings of around 13% can be achieved with the selected hybrid drive and steering strategy.
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Joseph, Binsy, and Deepak Vishnu Bhoir. "Design and Assessment of Electric Vehicle Performance Parameters based on Drive Cycle." ITM Web of Conferences 40 (2021): 01007. http://dx.doi.org/10.1051/itmconf/20214001007.
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Electric vehicle plays a significant role, in the future transportation across the world. EV has the potential to reduce air pollution and emission of Greenhouse gasses significantly compared to the existing fossil-fuel-based vehicles. Even though substantial progress can be expected in the area of embarked energy storage technologies, charging infrastructure, customer acceptance of Electric Vehicles is still limited due to the problems of Driving range anxiety and long battery charging time. We can solve most of these problems with the infrastructure development ,optimum sizing and design of the vehicle components and extensive study on vehicle dynamics under various real-time driving conditions. This research focuses on the Matlab software based co-simulation of Electric Vehicle system, including the battery pack and motor, to predict the vehicle performance parameters like driving range, efficiency, power requirement, and energy characteristics under different driving scenarios. The vehicle’s acceleration performance, energy consumption, and efficiency are determined by simulation and verified analytically. Using ADVISOR software the fuel economies and tail pipe emission for various vehicle models are determined by simulation and results are compared with Hybrid Electric vehicle models.
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Zou, Nai Wei, Qun Liang Dai, Yuan Hua Jia, Wei Zhang, and You Cun Ren. "Modeling and Simulation Research of Coaxial Parallel Hybrid Loader." Applied Mechanics and Materials 29-32 (August 2010): 1634–39. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.1634.
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After analyzing the loader duty cycle with hybrid drive theory and gaining the characteristics of loader duty cycle, an integrated started generator-ISG based coaxial parallel hybrid loader is designed. Two simulation models are built with the simulation software Cruise, one is tradition loader another is hybrid loader. The simulation result of tradition loader model compare with the test data to amend the model. To gain same accuracy, the hybrid loader model is rebuilt based on the tradition loader model. According to the “I” type duty cycle, comparing the simulation result of tradition and hybrid loader, the result shows that hybrid loader can save fuel 10.4%.
Dissertations / Theses on the topic "Drive cycle simulation"
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Hickman, David Matthew. "The simulation of spark ignition engine behaviour under drive cycle and off-cycle operating conditions." Thesis, University of Nottingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395491.
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Lee, Jeongwoo. "Rotating Inertia Impact on Propulsion and Regenerative Braking for Electric Motor Driven Vehicles." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/30803.
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A vehicle has several rotating components such as a traction electric motor, the driveline, and the wheels and tires. The rotating inertia of these components is important in vehicle performance analyses. However, in many studies, the rotating inertias are typically lumped into an equivalent inertial mass to simplify the analysis, making it difficult to investigate the effect of those components and losses for vehicle energy use. In this study, a backward-tracking model from the wheels and tires to the power source (battery or fuel cell) is developed to estimate the effect of rotating inertias for each component during propulsion and regenerative braking of a vehicle. This paper presents the effect of rotating inertias on the power and energy for propulsion and regenerative braking for two-wheel drive (either front or rear) and all-wheel drive (AWD) cases. On-road driving and dynamometer tests are different since only one axle (two wheels) is rotating in the latter case, instead of two axles (four wheels). The differences between an on-road test and a dynamometer test are estimated using the developed model. The results show that the rotating inertias can contribute a significant fraction (8 -13 %) of the energy recovered during deceleration due to the relatively lower losses of rotating components compared to vehicle inertia, where a large fraction is dissipated in friction braking. In a dynamometer test, the amount of energy captured from available energy in wheel/tire assemblies is slightly less than that of the AWD case in on-road test. The total regenerative brake energy capture is significantly higher (> 70 %) for a FWD vehicle on a dynamometer compared to an on-road case. The rest of inertial energy is lost by inefficiencies in components, regenerative brake fraction, and friction braking on the un-driven axle.Master of Science
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Almén, Marcus. "Driver Model for Mission-Based Driving Cycles." Thesis, Linköpings universitet, Fordonssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140158.
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When further demands are placed on emissions and performance of cars, trucks and busses, the vehicle manufacturers are looking to have cheap ways to evaluate their products for specific customers' needs. Using simulation tools to quickly compare use cases instead of manually recording data is a possible way forward. However, existing traffic simulation tools do not provide enough detail in each vehicle for the driving to represent real life driving patterns with regards to road features. For the purpose of this thesis data has been recorded by having different people drive a specific route featuring highway driving, traffic lights and many curves. Using this data, models have then been estimated that describe how human drivers adjust their speed through curves, how long braking distances typically are with respect to the driving speed, and the varying deceleration during braking sequences. An additional model has also been created that produces a speed variation when driving on highways. In the end all models are implemented in Matlab using a traffic control interface to interact with the traffic simulation tool SUMO. The results of this work are promising with the improved simulation being able to replicate the most significant characteristics seen from human drivers when approaching curves, traffic lights and intersections.
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Herwald, Marc A. "Control Design and Analysis of an Advanced Induction Motor Electric Vehicle Drive." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/32934.
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This thesis is about the development and performance enhancement of an induction motor electric vehicle drive system. The fundamental operation of the induction motor drive hardware and control software are introduced, and the different modulation techniques tested are described. A software simulation package is developed to assist in the control design and analysis of the drive system. Next, to establish the efficiency gains obtained by using space vector modulation in the improved drive system, an inverter with hysteresis current control is compared to the same inverter with space vector modulation in steady state and on separate driving profiles. A method for determining induction motor harmonic losses is introduced and is based on obtaining the phase current harmonics from sampled induction motor stator phase currents obtained. Using a semi-empirical loss model, the induction motor losses are compared between different pulse width modulation control strategies throughout the torque versus speed operating region. Next, several issues related to the robustness of the control design are addressed. To obtain good performance in the actual vehicle, a new method for driveline resonance compensation is developed and proven to work well through simulation and experiment. Lastly, this thesis discusses the development of a new method to compensate for the gain and phase error obtained in the feedback of the d-axis and q-axis stator flux linkages. Improved accuracy of the measured stator flux linkages will be shown to improve the field oriented controller by obtaining a more accurate measurement of the feedback electromagnetic torque.Master of Science
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Lintern, Matthew A. "The energy consumption mechanisms of a power-split hybrid electric vehicle in real-world driving." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/17959.
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With increasing costs of fossil fuels and intensified environmental awareness, low carbon vehicles, including hybrid electric vehicles (HEVs), are becoming more popular for car buyers due to their lower running costs. HEVs are sensitive to the driving conditions under which they are used however, and real-world driving can be very different to the legislative test cycles. On the road there are higher speeds, faster accelerations and more changes in speed, plus additional factors that are not taken into account in laboratory tests, all leading to poorer fuel economy. Future trends in the automotive industry are predicted to include a large focus on increased hybridisation of passenger cars in the coming years, so this is an important current research area. The aims of this project were to determine the energy consumption of a HEV in real-world driving, and investigate the differences in this compared to other standard drive cycles, and also compared to testing in laboratory conditions. A second generation Toyota Prius equipped with a GPS (Global Positioning System) data logging system collected driving data while in use by Loughborough University Security over a period of 9 months. The journey data was used for the development of a drive cycle, the Loughborough University Urban Drive Cycle 2 (LUUDC2), representing urban driving around the university campus and local town roads. It will also have a likeness to other similar driving routines. Vehicle testing was carried out on a chassis dynamometer on the real-world LUUDC2 and other existing drive cycles for comparison, including ECE-15, UDDS (Urban Dynamometer Driving Schedule) and Artemis Urban. Comparisons were made between real-world driving test results and chassis dynamometer real-world cycle test results. Comparison was also made with a pure electric vehicle (EV) that was tested in a similar way. To verify the test results and investigate the energy consumption inside the system, a Prius model in Autonomie vehicle simulation software was used. There were two main areas of results outcomes; the first of which was higher fuel consumption on the LUUDC2 compared to other cycles due to cycle effects, with the former having greater accelerations and a more transient speed profile. In a drive cycle acceleration effect study, for the cycle with 80% higher average acceleration than the other the difference in fuel consumption was about 32%, of which around half of this was discovered to be as a result of an increased average acceleration and deceleration rate. Compared to the standard ECE-15 urban drive cycle, fuel consumption was 20% higher on the LUUDC2. The second main area of outcomes is the factors that give greater energy consumption in real-world driving compared to in a laboratory and in simulations being determined and quantified. There was found to be a significant difference in fuel consumption for the HEV of over a third between on-road real-world driving and chassis dynamometer testing on the developed real-world cycle. Contributors to the difference were identified and explored further to quantify their impact. Firstly, validation of the drive cycle accuracy by statistical comparison to the original dataset using acceleration magnitude distributions highlighted that the cycle could be better matched. Chassis dynamometer testing of a new refined cycle showed that this had a significant impact, contributing approximately 16% of the difference to the real-world driving, bringing this gap down to 21%. This showed how important accurate cycle production from the data set is to give a representative and meaningful output. Road gradient was investigated as a possible contributor to the difference. The Prius was driven on repeated circuits of the campus to produce a simplified real-world driving cycle that could be directly linked with the corresponding gradients, which were obtained by surveying the land. This cycle was run on the chassis dynamometer and Autonomie was also used to simulate driving this cycle with and without its gradients. This study showed that gradient had a negligible contribution to fuel consumption of the HEV in the case of a circular route where returning to the start point. A main factor in the difference to real-world driving was found to be the use of climate control auxiliaries with associated ambient temperature. Investigation found this element is estimated to contribute over 15% to the difference in real-world fuel consumption, by running the heater in low temperatures and the air conditioning in high temperatures. This leaves a 6% remainder made up of a collection of other small real-world factors. Equivalent tests carried out in simulations to those carried out on the chassis dynamometer gave 20% lower fuel consumption. This is accounted for by degradation of the test vehicle at approximately 7%, and the other part by inaccuracy of the simulation model. Laboratory testing of the high voltage battery pack found it constituted around 2% of the vehicle degradation factor, plus an additional 5% due to imbalance of the battery cell voltages, on top of the 7% stated above. From this investigation it can be concluded that the driving cycle and environment have a substantial impact of the energy use of a HEV. Therefore they could be better designed by incorporating real-world driving into the development process, for example by basing control strategies on real-world drive cycles. Vehicles would also benefit from being developed for use in a particular application to improve their fuel consumption. Alternatively, factors for each of the contributing elements of real-world driving could be included in published fuel economy figures to give prospective users more representative values.
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Kiefer, Konstanze. "Simulation of high-cycle fatigue-driven delamination in composites using a cohesive zone model." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/25155.
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In this PhD thesis several published strategies for the simulation of high-cycle fatigue-driven delamination using cohesive elements are investigated in mode I using an efficient analytical model which eliminates the numerical errors involved in a finite element simulation. A detailed sensitivity study of all the models is performed with respect to the element size and the cycle-jump. The models are then compared and their advantages and disadvantages highlighted. For two of the models improvements are proposed and investigated using the analytical model. Necessary conditions for a successful fatigue model are then highlighted and a new model is proposed. A sensitivity study demonstrates a very good performance of this model. The new fatigue degradation strategy is implemented into a user defined element (UEL) within the commercial finite element software ABAQUS. Two simulations are then performed for pure mode I and mode II fatigue-driven delamination. The new strategy is shown to achieve good agreement with the input Paris law and is also shown to perform well in comparison with FE implementations of some of the published cohesive element strategies for fatigue-driven growth of delamination.
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Ba, Meng. "A Test Rig for Emulating Drive Cycles to Measure the Energy Consumption of HEVs." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263859.
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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.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.
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Ruan, Tianqi. "Techno-Economic Analysis of an Innovative Purely Solar Driven Combined Cycle System based on Packed Bed TES Technology." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264353.
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With increasing awareness of environmental issues and worldwide requirements for sustainable development, renewable energy technologies with lower environmental impact, especially those having abundant resources like wind and solar energy, attract more attention. Concentrating Solar Power (CSP) is one of the most promising solar energy technologies. Indeed, thermal energy storage (TES) units could be integrated into CSP plants, enhancing their flexibility and capacity factor. However, tower based CSP plants still remain cost intensive. This study evaluates the performance of a 55MWe combined-cycle CSP plant with rock-bed TES located in Sevilla, Spain. Sensitivity analysis has been performed to assess the influence of critical parameters. Furthermore, in order to decrease the costs with increasing efficiency, improved CSP plant schemes have been proposed. In the study, EES, SAM and TRNSYS are used to design and simulate the model from technological perspective, then the capital and operational costs are calculated in MATLAB. For one-year simulation of the designed case, the performance of the plant is determined by the trade-off among several conflicting factors. The study focuses on three key indicators to measure the performance- levelized costs of electricity (LCoE), capital expenditure (CAPEX) and efficiency factor (UF). As long as CAPEX is within the acceptable range, LCoE would be the most concerned one-as low as possible, then followed by UF. Compared to conventional CCGT plant, the proposed combined-cycle tower-based CSP plant, with efficiency of 0.49 and LCoE of 196USD/MWe, enables efficiency improvements, while both CAPEX and LCoE are higher. On the other hand, it has to be noticed that CCGT relies on fuel (natural gas) price, which means higher risks and operational expenditure (OPEX). A sensitivity study is involved varying gas turbine expansion ratio (to vary its outlet temperature and therefore supply power for the bottoming Rankine cycle), size of TES and solar multiple (SM). It can be found that same LCoE and UF could be achieved with lower CAPEX by setting appropriate parameters. The study also introduces two improved CSP plant schemes with sensitivity study. To some extent, the LCoE decreases due to increasing power output and the efficiency of the system simultaneously increases.Med ökad medvetenhet om miljöfrågor och globala krav på hållbar utveckling lockar förnybar energi teknologi med lägre miljöpåverkan, särskilt de som har stora resurser som vind och solenergi, mer uppmärksamhet. Concentrating Solar Power (CSP) är en av de mest lovande solenergi teknologierna. Faktiskt kan värmeenergi lagringsenheter integreras i CSP-anläggningar, vilket förbättrar deras flexibilitet och kapacitetsfaktor. Träbaserade CSP-anläggningar är dock fortfarande kostnads intensiva. Denna studie utvärderar prestandan för en 55MWe CSP-anläggning med kombinerad cykel med TESsandbädd i Sevilla, Spanien. Känslighetsanalys har utförts för att bedöma påverkan av kritiska parametrar. För att minska kostnaderna med ökad effektivitet har dessutom förbättrade CSP-anläggningsprogram föreslagits. I studien används EES, SAM och TRNSYS för att designa och simulera modellen ur teknologiskt perspektiv, sedan beräknas kapital och driftskostnader i MATLAB. För ett års simulering av det planerade fallet bestäms anläggningens prestanda av bytet mellan flera motstridiga faktorer. Studien fokuserar på tre nyckelindikatorer för att mäta prestandanivå kostnaderna för el (LCoE), investeringar (CAPEX) och effektivitetsfaktor (UF). Så länge CAPEX ligger inom det acceptabla intervallet, skulle LCoE vara den mest bekymrade en så låg som möjligt, följt av UF. Jämfört med konventionell CCGT-anläggning möjliggör den föreslagna träbaserade CSP-anläggningen med kombinerad cykel med effektivitet 0,49 och LCoE på 196USD / MWe effektivitetsförbättringar, medan både CAPEX och LCoE är högre. Å andra sidan måste man notera att CCGT förlitar sig på bränslepriset (naturgas), vilket innebär högre risker och driftsutgifter (OPEX). En känslighetsstudie är involverad med varierande utvidgning förhållande för gasturbin (för att variera dess utloppstemperatur och därmed leverera ström för botten Rankine-cykeln), storlek på TES och sol multipel (SM). Det kan konstateras att samma LCoE och UF skulle kunna uppnås med lägre CAPEX genom att ställa in lämpliga parametrar. Studien introducerar också två förbättrade CSP-anläggningar med känslighetsstudie. I viss utsträckning minskar LCoE på grund av ökad effekt och systemets effektivitet ökar samtidigt.
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Folkesson, Anders. "Towards sustainable urban transportation : Test, demonstration and development of fuel cell and hybrid-electric buses." Doctoral thesis, KTH, Energiprocesser, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4721.
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Several aspects make today’s transport system non-sustainable: • Production, transport and combustion of fossil fuels lead to global and local environmental problems. • Oil dependency in the transport sector may lead to economical and political instability. • Air pollution, noise, congestion and land-use may jeopardise public health and quality of life, especially in urban areas. In a sustainable urban transport system most trips are made with public transport because high convenience and comfort makes travelling with public transport attractive. In terms of emissions, including noise, the vehicles are environmentally sustainable, locally as well as globally. Vehicles are energy-efficient and the primary energy stems from renewable sources. Costs are reasonable for all involved, from passengers, bus operators and transport authorities to vehicle manufacturers. The system is thus commercially viable on its own merits. This thesis presents the results from three projects involving different concept buses, all with different powertrains. The first two projects included technical evaluations, including tests, of two different fuel cell buses. The third project focussed on development of a series hybrid-bus with internal combustion engine intended for production around 2010. The research on the fuel cell buses included evaluations of the energy efficiency improvement potential using energy mapping and vehicle simulations. Attitudes to hydrogen fuel cell buses among passengers, bus drivers and bus operators were investigated. Safety aspects of hydrogen as a vehicle fuel were analysed and the use of hydrogen compared to electrical energy storage were also investigated. One main conclusion is that a city bus should be considered as one energy system, because auxiliaries contribute largely to the energy use. Focussing only on the powertrain is not sufficient. The importance of mitigating losses far down an energy conversion chain is emphasised. The Scania hybrid fuel cell bus showed the long-term potential of fuel cells, advanced auxiliaries and hybrid-electric powertrains, but technologies applied in that bus are not yet viable in terms of cost or robustness over the service life of a bus. Results from the EU-project CUTE show that hydrogen fuelled fuel cell buses are viable for real-life operation. Successful operation and public acceptance show that focus on robustness and cost in vehicle design were key success factors, despite the resulting poor fuel economy. Hybrid-electric powertrains are feasible in stop-and-go city operation. Fuel consumption can be reduced, comfort improved, noise lowered and the main power source downsized and operated less dynamically. The potential for design improvements due to flexible component packaging is implemented in the Scania hybrid concept bus. This bus and the framework for its hybrid management system are discussed in this thesis. The development of buses for a more sustainable urban transport should be made in small steps to secure technical and economical realism, which both are needed to guarantee commercialisation and volume of production. This is needed for alternative products to have a significant influence. Hybrid buses with internal combustion engines running on renewable fuel is tomorrow’s technology, which paves the way for plug-in hybrid, battery electric and fuel cell hybrid vehicles the day after tomorrow.QC 20100722
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Wiedemann, Jan [Verfasser], Roland [Gutachter] Span, and Christian [Gutachter] Dötsch. "Simulation of an exhaust heat driven rankine cycle for heavy-duty Diesel engines in mobile applications / Jan Wiedemann ; Gutachter: Roland Span, Christian Dötsch." Bochum : Ruhr-Universität Bochum, 2017. http://d-nb.info/1129452204/34.
Full textBook chapters on the topic "Drive cycle simulation"
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Kriššák, P., J. Jakubovič, and P. Zavadinka. "Transport Duty Cycle Simulation of Electro-hydro-mechanical Drive Unit for Mixing Drum." In Mechatronics 2013, 235–41. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02294-9_30.
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Henclewood, Dwayne, Wonho Suh, Angshuman Guin, Randall Guensler, Richard Fujimoto, and Michael Hunter. "Real-Time Data-Driven Arterial Simulation for Performance Measure Estimation." In Modeling and Simulation in the Systems Engineering Life Cycle, 309–21. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5634-5_24.
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Chattopadhyay, Anupam, and Xiaolin Chen. "A Timing Driven Cycle-Accurate Simulation for Coarse-Grained Reconfigurable Architectures." In Lecture Notes in Computer Science, 293–300. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16214-0_24.
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Aithal, Shashi M., and Prasanna Balaprakash. "MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles." In Lecture Notes in Computer Science, 186–205. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20656-7_10.
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Andreou, Andreas S., Haris Neophytou, and Constantinos Stylianou. "A Review of the Application of Fuzzy Cognitive Maps in the Policy Decision-Making Life Cycle." In Advances in Electronic Government, Digital Divide, and Regional Development, 129–48. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6236-0.ch008.
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Fuzzy cognitive maps are a qualitative modeling technique that uses expert knowledge to attempt to represent the interactions between problem-specific factors aiming to simulate how these interactions alter the factors and drive the current state of a problem to a different state. Recent years have seen an increase in the number of research attempts that propose the adoption of Fuzzy cognitive maps (FCMs) as a means to forecast the effect of a policy in a number of interesting domains, including land use, urban (re)development, and other social, political, or economic issues or to simulate the current state of affairs to pinpoint possible hotspots for creating a policy. This chapter presents an overview of these research attempts where fuzzy cognitive maps have been employed as a simulation tool in order to support decision makers in their assessment of the impact of policies and help them adopt the most suitable policy to implement.
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Daniel, Jr., Emory S., Gregory P. Perreault, and Michael G. Blight. "Is the News Cycle “Real”?" In Multidisciplinary Perspectives on Media Fandom, 270–86. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3323-9.ch015.
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This chapter features a game from the Shin Megami Tensei series called Persona 5. This chapter examines how the case of role playing video game Persona 5 depicts agenda setting through the use of an in-game audience-oriented polling systems and comment system in order to understand to a greater degree the ways in which games contribute to our understanding of media processes and explores the idea of fandom as integral to the agenda setting process. The case chapter addressed in this manuscript represents a unique narrative featuring a daily life simulator, a turn-based Japanese role-playing game (JRPG), and complex in-game media vehicles to drive the story.
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Leemput, Niels, Juan Van Roy, Frederik Geth, Johan Driesen, and Sven De Breucker. "Grid and Fleet Impact Mapping of EV Charge Opportunities." In Data Science and Simulation in Transportation Research, 364–90. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4920-0.ch017.
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This chapter assesses the impact of different technical solutions and their impact on the ability of a fleet of plug-in hybrid electric vehicles to drive in electric mode as much as possible. The technical solutions covered in this chapter to attain this objective include: charging at low and medium power; charging at home, at work, and at other locations; and using fleets with small, medium, and large battery sizes. The driving behavior of the fleet is modeled using an availability analysis based on statistical data from Flanders and The Netherlands. The fleet itself is based on data of the Flemish vehicle segmentation, while the electric consumption of each segment is determined based on realistic vehicle data and driving cycles. This data is combined into different scenarios for which the utility factor, the energy consumption, the grid impact, and the battery utilization is investigated. Based on these scenario guidelines concerning the appropriate charge power at different locations and the distribution of charge locations, the expected grid impact and utility factor of different fleets are formulated.
Conference papers on the topic "Drive cycle simulation"
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Varshney, Mehul, Abhishek Ballani, Shyam Sundar Pasunurthi, Dipak Maiti, and Chiranth Srinivasan. "3D CFD Coolant System Simulation for Vehicle Drive-Cycle." In Symposium on International Automotive Technology. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2021. http://dx.doi.org/10.4271/2021-26-0407.
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Vingbäck, Johan, and Peter Jeppsson. "Development of a Drive Cycle Simulation Model for Hybrid Powertrains." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71093.
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In this paper a modular numerical simulation model for hybrid powertrains is presented. The simulation model is based on common design parameters and measurements for fuel efficiency and vehicle performance. Implemented in Simulink, the main model is expandable to combine the strengths of different types of simulation tools. As the design process proceeds, parts of the model can gradually be replaced with instances containing one or more subsystem modelled in the appropriate tool, including CAD, FEA and MBD, incrementally increasing the accuracy of the model of the overall system yet keeping the simulation time reasonable. Subsystems can be replaced to support hardware input and/or output, resulting in a so-called hardware-in-the-loop simulation. The presented system has shown to be modular as all the components contain their physical properties and can be modified, replaced or reorganized without the modification of any other subsystem. The simulation model of the powertrain is easily modified in order to allow the simulation of multiple designs with the same components. The systeam also has the same information flow as would be observed in a physical powertrain.
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Pitchaikani, Anand, Kingsly Jebakumar S, Shankar Venkataraman, and S. A. Sundaresan. "Real-time Drive Cycle Simulation of Automotive Climate Control System." In The 7 International Modelica Conference, Como, Italy. Linköping University Electronic Press, 2009. http://dx.doi.org/10.3384/ecp09430007.
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Malinovskiy, Mark, Andrew Hermetet, Shailendra Kaushik, and Christopher Lee. "Large Scale Multi-Disciplinary Optimization and Long-Term Drive Cycle Simulation." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-1049.
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Feng, Xiaolong, Shiva Sander-Tavallaey, and Johan O¨lvander. "Cycle-Based Robot Drive Train Optimization Utilizing SVD Analysis." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34772.
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Designing a drive train for an industrial robot is a demanding task where a set of design variables need to be determined so that optimal performance is obtained for a wide range of different duty cycles. The paper presents a method where singular value decomposition (SVD) is used to reduce the design variable set. The application is a six degree of freedom serial manipulator, with nine drive train parameters for each axis and the objective is to minimize the cycle time on 122 representative design cycles without decreasing the expected lifetime of the robot. The optimization is based on a simulation model of the robot and conducted on a reduced set of the initial duty cycles and with the design variables suggested by the SVD analysis. The obtained design reduces the cycle time with 1.6% on the original design cycles without decreasing the life time of the robot.
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Jansen, Wilko, Joe Amodeo, Edward Tate, and Zhongzhou Yang. "Drive Cycle Simulation of A Tiered Cooling Pack Using Non-Uniform Boundary Conditions." In SAE 2014 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2014. http://dx.doi.org/10.4271/2014-01-0654.
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Sigfridsson, Sara, Lixiang Li, Håkan Runvik, Jesse Gohl, Antonin Joly, and Kristian Soltesz. "Modeling of Fuel Cell Hybrid Vehicle in Modelica: Architecture and Drive Cycle Simulation." In The 2nd Japanese Modelica Conference Tokyo, Japan, May 17-18, 2018. Linköping University Electronic Press, 2019. http://dx.doi.org/10.3384/ecp1814891.
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Trajkovic, Sasa, Per Tunesta˚l, and Bengt Johansson. "A Simulation Study Quantifying the Effects of Drive Cycle Characteristics on the Performance of a Pneumatic Hybrid Bus." In ASME 2010 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/icef2010-35093.
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In the study presented in this paper, the effect of different vehicle driving cycles on the pneumatic hybrid has been investigated. The pneumatic hybrid powertrain has been modeled in GT-Power and validated against experimental data. The GT-Power engine model has been linked with a MATLAB/simulink vehicle model. The engine in question is a single-cylinder Scania D12 diesel engine, which has been converted to work as a pneumatic hybrid. The base engine model, provided by Scania, is made in GT-power and it is based on the same engine configuration as the one used in real engine testing. Earlier studies have shown a great reduction in fuel consumption with the pneumatic hybrid compared to conventional vehicles of today. However, most of these studies have been completely of theoretical nature. In this paper, the engine model is based on and verified against experimental data, and therefore more realistic results can be expected. The intent with the vehicle driving cycle simulation is to investigate the potential of a pneumatic hybrid bus regarding reduction in fuel consumption (FC) compared to a traditional internal combustion engine (ICE) powered bus. The results show that the improvement in fuel economy due to pneumatic hybridization varies heavily with choice of drive cycle. The New York bus drive cycle shows a reduction of up to 58% for the pneumatic hybrid while the FIGE drive cycle only shows a reduction of 8%. What all cycles have in common is that the main part of the fuel consumption reduction comes from the start/stop-functionality, while regenerative braking only account for a modest part of up to about 12% of the fuel consumption. The results also show that the optimal pressure tank volume varies with drive cycles, ranging from 60 to over 500 liters.
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Biraud, Benoit, Arnaud Despierre, and Stephane Gayraud. "Simulation of the WR-21 Advanced Cycle Engine." In ASME Turbo Expo 2001: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/2001-gt-0020.
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Representative simulation of gas turbine operation has to be performed by engine manufacturers during engine development programs for a number of reasons, including technical risk mitigation, safety analysis and cycle optimisation. Minimisation of Specific Fuel Consumption (SFC) is the main challenge faced by the WR-21 engine, an intercooled and recuperated gas turbine which is at the forefront of future naval propulsion systems. Steady state simulation tools need to be developed to accurately predict engine performance under any set of environmental conditions. The methodology used involves an integrated “analysis-synthesis” simulation technique where extensive test data analysis is built into a full thermodynamic model of the engine. Simulation of the gas turbine behaviour under transient conditions is also required to ensure maximum operability through optimised control, and gas turbine stability under any circumstances. For the WR-21 engine this simulation capability has been developed in both Real Time (RT) and Non-Real Time (NRT) modes. This process is particularly challenging for such an advanced cycle gas turbine where the number of components, and their thermodynamic interaction, is far greater than for a simple cycle prime mover. This paper examines how these challenges have been successfully overcome by the WR-21 project. It describes the tools and techniques that have been developed in the project, and exemplifies their application through demonstration of significant technical achievements. It also expands on the strategic issue of model flexibility and connectivity, and elaborates on future developments in simulation techniques, that will drive the naval gas turbine industry towards continual process improvement, ever closer to its customers.
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Murthy, S. S., and A. J. P. Pinto. "Theory, Simulation and Experimental Verification of a New Integral Cycle Robust Control Strategy for Self Excited Induction Generators." In 2007 7th International Conference on Power Electronics and Drive Systems. IEEE, 2007. http://dx.doi.org/10.1109/peds.2007.4487815.
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