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Journal articles on the topic 'Modeling and control of automotive powertrains'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Cho, D., and J. K. Hedrick. "Automotive Powertrain Modeling for Control." Journal of Dynamic Systems, Measurement, and Control 111, no. 4 (1989): 568–76. http://dx.doi.org/10.1115/1.3153093.

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A dynamic model of an automotive powertrain system is developed by the use of eight states and two time-delays in the continuous-time domain, with careful attention given to the dynamics and kinematics of a four-stroke spark-ignition engine, an automatic transmission, and rubber tires. The model is relatively simple, yet it predicts the important dynamics (including those during a shift) quite well when compared to experimental data. The model is well suited for developing powertrain controllers and can also be used for studying the dynamic behavior of a powertrain system. A great deal of effo

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2

Kliauzovich, Siarhei. "ANALYSIS OF CONTROL SYSTEMS FOR VEHICLE HYBRID POWERTRAINS." TRANSPORT 22, no. 2 (2007): 105–10. http://dx.doi.org/10.3846/16484142.2007.9638107.

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Ecological and socioeconomic factors determine high interest in the development of pollution‐free vehicles. At present use of electro‐vehicles is suppressed by a number of technological factors. Vehicles with alternative power‐trains are transitional stage between development of pollution‐free vehicles and vehicles with conventional internal combustion engine. According to these aspects the investigation on conventional hybrid drives and their control systems is carried out in the article. The equations that allow evaluating effectiveness of regenerative braking for different variants of hybri

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Bastin, Matthew Andrew, and R. Peter Jones. "Development of a Multibody Systems Model for Investigation of the Effects of Hybrid Electric Vehicle Powertrains on Vehicle Dynamics." International Journal of Online Engineering (iJOE) 11, no. 6 (2015): 33. http://dx.doi.org/10.3991/ijoe.v11i6.5033.

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With ever increasing numbers of Hybrid Electric Vehicles (HEV’s) being developed, come new challenges in the field of automotive engineering. Whilst there has been considerable work conducted on HEV’s from a powertrain, efficiency, and control systems perspective, very little work has been instigated in the field of how the introduction of such hybrid systems effect passive vehicle dynamics. One of the possible obstacles in the way of such studies is the multitude of powertrain architectures that are present or possible in HEV’s. This obstacle can make investigations very application specific,

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4

Zheng, Yong Qian, Jie Li, Ya Ling Zhao, and Deng Jun Wang. "Research on Powertrain Production Line Modeling and Design." Advanced Materials Research 225-226 (April 2011): 1250–53. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.1250.

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Nowadays in automotive industry JIT production mode is an overwhelming trend. And it resulted in an unprecedented challenge to the traditional mode of production designing, operation and information transaction. To solve the problems mentioned above a novel method is proposed to establish planning system models with tree discrete view structure, to visualize control and optimization in designing production line based on processing work flow. This model gave attention to various paths to access and control the production line, and also to communications with other systems among enterprises. Fin

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Liu, Zeyu, and John Wagner. "Nonlinear Model Reduction for Dynamic and Automotive System Descriptions." Journal of Dynamic Systems, Measurement, and Control 124, no. 4 (2002): 637–47. http://dx.doi.org/10.1115/1.1515327.

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The mathematical modeling of dynamic systems is an important task in the design, analysis, and implementation of advanced control systems. Although most vehicle control algorithms tend to use model-free calibration architectures, a need exists to migrate to model-based control algorithms which may offer greater operating performance. However, in many instances, the analytical descriptions are too complex for real-time powertrain and chassis model-based control algorithms. Thus, model reduction strategies may be applied to transform the original model into a simplified lower-order form while pr

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Cao, M., K. W. Wang, Y. Fujii, and W. E. Tobler. "Development of a Friction Component Model for Automotive Powertrain System Analysis and Shift Controller Design based on Parallel-Modulated Neural Networks." Journal of Dynamic Systems, Measurement, and Control 127, no. 3 (2004): 382–405. http://dx.doi.org/10.1115/1.1978909.

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In this study, a new hybrid-neural-network-based friction component model is developed for powertrain (PT) dynamic analysis and controller design. This new model, with significantly improved input-output scalability over conventional neural network configuration, has the capability to serve as a forward as well as an inverse system model. The structural information of the available physical and empirical correlations is utilized to construct a parallel-modulated neural network (PMNN) architecture consisting of small parallel sub-networks reflecting specific mechanisms of the friction component

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Chakraborty, Sajib, Hai-Nam Vu, Mohammed Mahedi Hasan, Dai-Duong Tran, Mohamed El Baghdadi, and Omar Hegazy. "DC-DC Converter Topologies for Electric Vehicles, Plug-in Hybrid Electric Vehicles and Fast Charging Stations: State of the Art and Future Trends." Energies 12, no. 8 (2019): 1569. http://dx.doi.org/10.3390/en12081569.

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This article reviews the design and evaluation of different DC-DC converter topologies for Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs). The design and evaluation of these converter topologies are presented, analyzed and compared in terms of output power, component count, switching frequency, electromagnetic interference (EMI), losses, effectiveness, reliability and cost. This paper also evaluates the architecture, merits and demerits of converter topologies (AC-DC and DC-DC) for Fast Charging Stations (FCHARs). On the basis of this analysis, it has found that

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8

Neumann, Daniel, Christian Jörg, Nils Peschke, Joschka Schaub, and Thorsten Schnorbus. "Real-time capable simulation of diesel combustion processes for HiL applications." International Journal of Engine Research 19, no. 2 (2017): 214–29. http://dx.doi.org/10.1177/1468087417726226.

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The complexity of the development processes for advanced diesel engines has significantly increased during the last decades. A further increase is to be expected, due to more restrictive emission legislations and new certification cycles. This trend leads to a higher time exposure at engine test benches, thus resulting in higher costs. To counter this problem, virtual engine development strategies are being increasingly used. To calibrate the complete powertrain and various driving situations, model in the loop and hardware in the loop concepts have become more important. The main effort in th

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9

Lagerberg, Adam, and Bo Egardt. "MODEL PREDICTIVE CONTROL OF AUTOMOTIVE POWERTRAINS WITH BACKLASH." IFAC Proceedings Volumes 38, no. 1 (2005): 1–6. http://dx.doi.org/10.3182/20050703-6-cz-1902.01888.

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10

Isermann, R. "Perspectives for the Future of Automotive Powertrains." IFAC-PapersOnLine 53, no. 2 (2020): 13805–8. http://dx.doi.org/10.1016/j.ifacol.2020.12.889.

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11

Lagerberg, Adam, and Bo Egardt. "Backlash Estimation With Application to Automotive Powertrains." IEEE Transactions on Control Systems Technology 15, no. 3 (2007): 483–93. http://dx.doi.org/10.1109/tcst.2007.894643.

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12

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 (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 a

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13

Kulikov, I. A., A. V. Krutashov, A. I. Filonov, and S. V. Bakhmutov. "Optimal control theory as an instrument for elaboration of automotive hybrid powertrains." Journal of Machinery Manufacture and Reliability 44, no. 6 (2015): 565–71. http://dx.doi.org/10.3103/s1052618815060072.

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14

Andert, J., S. Klein, R. Savelsberg, S. Pischinger, and K. Hameyer. "Virtual shaft: Synchronized motion control for real time testing of automotive powertrains." Control Engineering Practice 56 (November 2016): 101–10. http://dx.doi.org/10.1016/j.conengprac.2016.08.005.

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15

Datlinger, Christoph, and Mario Hirz. "Benchmark of Rotor Position Sensor Technologies for Application in Automotive Electric Drive Trains." Electronics 9, no. 7 (2020): 1063. http://dx.doi.org/10.3390/electronics9071063.

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Rotor shaft position sensors are required to ensure the efficient and reliable control of Permanent Magnet Synchronous Machines (PMSM), which are often applied as traction motors in electrified automotive powertrains. In general, various sensor principles are available, e.g., resolvers and inductive- or magnetoresistive sensors. Each technology is characterized by strengths and weaknesses in terms of measurement accuracy, space demands, disturbing factors and costs, etc. Since the most frequently applied technology, the resolver, shows some weaknesses and is relatively costly, alternative tech

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Behrens, Bernd-Arno, Richard Krimm, and André Höber. "Auslegung von Servopressenantrieben/Design of Servo Press Powertrains." wt Werkstattstechnik online 110, no. 06 (2020): 445–49. http://dx.doi.org/10.37544/1436-4980-2020-06-85.

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Die Auslegung des Antriebsstrangs einer Servopresse stellt einen komplexen Prozess dar. Aufgrund der konstruktiven Wechselwirkung der Komponenten ist dieser mit einer potenziell großen Anzahl von Iterationsstufen, häufig auch im Kontakt mit Zulieferern, verbunden. Im Beitrag wird ein Softwaretool vorgestellt, das den Entwicklungsprozess einer Servo- presse beschleunigt und variabler gestaltet. Im Rahmen des Vorhabens wurde neben einem parametrischen Motormodell ein variables mechanisches Modell eines Servopressen-Antriebsstrangs erstellt und validiert. &nbsp; The design of a servo press dr

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17

Wang, Yuanzhan, Jason B. Siegel, and Anna G. Stefanopoulou. "Control Strategies for Power Quantized Solid Oxide Fuel Cell Hybrid Powertrains: In Mobile Robot Applications." SAE International Journal of Alternative Powertrains 5, no. 1 (2016): 58–67. http://dx.doi.org/10.4271/2016-01-0317.

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18

Rotenberg, Dean, Ardalan Vahidi, and Ilya Kolmanovsky. "Ultracapacitor Assisted Powertrains: Modeling, Control, Sizing, and the Impact on Fuel Economy." IEEE Transactions on Control Systems Technology 19, no. 3 (2011): 576–89. http://dx.doi.org/10.1109/tcst.2010.2048431.

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19

Andert, Jakob, Feihong Xia, Serge Klein, et al. "Road-to-rig-to-desktop: Virtual development using real-time engine modelling and powertrain co-simulation." International Journal of Engine Research 20, no. 7 (2018): 686–95. http://dx.doi.org/10.1177/1468087418767221.

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By front-loading of the conventional vehicle testing to engine test bench or even further forward to offline simulations, it is possible to assess a large variation of powertrain design parameters and testing manoeuvres in the early development stages. This entails a substantial cost reduction compared to physical vehicle testing and hence an optimisation of the modern powertrain development process. This approach is often referred to as road-to-rig-to-desktop. To demonstrate the potential of this road-to-rig-to-desktop methodology as a seamless development process, a crank angle–resolved real

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20

Adegbohun, Feyijimi, Annette von Jouanne, Ben Phillips, Emmanuel Agamloh, and Alex Yokochi. "High Performance Electric Vehicle Powertrain Modeling, Simulation and Validation." Energies 14, no. 5 (2021): 1493. http://dx.doi.org/10.3390/en14051493.

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Accurate electric vehicle (EV) powertrain modeling, simulation and validation is paramount for critical design and control decisions in high performance vehicle designs. Described in this paper is a methodology for the design and development of EV powertrain through modeling, simulation and validation on a real-world vehicle system with detailed analysis of the results. Although simulation of EV powertrains in software simulation environments plays a significant role in the design and development of EVs, validating these models on the real-world vehicle systems plays an equally important role

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21

Kulikov, Ilya, Sergey Korkin, Andrey Kozlov, Alexey Terenchenko, Kirill Karpukhin, and Ulugbek Azimov. "Component-in-the-Loop Testing of Automotive Powertrains Featuring All-Wheel-Drive." Energies 14, no. 7 (2021): 2017. http://dx.doi.org/10.3390/en14072017.

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The article is dedicated to the methodology of designing component-in-the-loop (CiL) testing systems for automotive powertrains featuring several drivelines, including variants with individually driven axles or wheels. The methodical part begins with descriptions of operating and control loops of CiL systems having various simulating functionality—from a “lumped” vehicle for driving cycle tests to vehicles with independently rotating drivelines for simulating dynamic maneuvers. The sequel contains an analysis that eliminates a lack of clarity observed in the existing literature regarding the p

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22

Ferrari-Trecate§, Giancarlo, and Mehdi Gati. "Observability analysis and state observers for automotive powertrains with backlash: a hybrid system approach." International Journal of Control 79, no. 5 (2006): 496–507. http://dx.doi.org/10.1080/00207170600587507.

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23

Cao, Wanke, Yingshuang Wu, Yuhua Chang, et al. "Speed Synchronization Control for Integrated Automotive Motor-Transmission Powertrains Over CAN Through a Co-Design Methodology." IEEE Access 6 (2018): 14106–17. http://dx.doi.org/10.1109/access.2018.2810941.

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24

Hegazy, Omar, and Philippe Lataire. "Modeling and Analysis of Different Control Techniques of Electric Motor for Electric Vehicle Powertrains." EPE Journal 25, no. 1 (2015): 36–46. http://dx.doi.org/10.1080/09398368.2015.11782459.

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25

Johannesson, Lars, Mattias Asbogard, and Bo Egardt. "Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming." IEEE Transactions on Intelligent Transportation Systems 8, no. 1 (2007): 71–83. http://dx.doi.org/10.1109/tits.2006.884887.

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26

Murgovski, Nikolce, Lars Mardh Johannesson, and Jonas Sjoberg. "Engine On/Off Control for Dimensioning Hybrid Electric Powertrains via Convex Optimization." IEEE Transactions on Vehicular Technology 62, no. 7 (2013): 2949–62. http://dx.doi.org/10.1109/tvt.2013.2251920.

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27

Cheng, Yuan, Keyu Chen, C. C. Chan, Alain Bouscayrol, and Shumei Cui. "Global modeling and control strategy simulation." IEEE Vehicular Technology Magazine 4, no. 2 (2009): 73–79. http://dx.doi.org/10.1109/mvt.2009.932541.

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28

UMERUJAN, Sawut, Mitunori ISHII, and Hiraya YASUKAWA. "Modeling and Identification of Automotive Engine Control System." Transactions of the Society of Instrument and Control Engineers 41, no. 4 (2005): 373–79. http://dx.doi.org/10.9746/sicetr1965.41.373.

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29

Mansour, Charbel, Wissam Bou Nader, Clément Dumand, and Maroun Nemer. "Waste heat recovery from engine coolant on mild hybrid vehicle using organic Rankine cycle." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 10 (2018): 2502–17. http://dx.doi.org/10.1177/0954407018797819.

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Considerable efforts have been invested in the automotive industry on electrified powertrains in order to reduce passenger cars’ dependence on fossil fuels. Powertrains electrification resulted in a wide range of mass-production hybrid vehicle models, ranging from micro-hybrid, to mild, full, and battery-extended hybrids such as plug-in and range-extender electric vehicles. Fuel savings of these powertrains strongly rely on the energy management strategy deployed on-board, as well as on the technology used to recover the waste heat energy. This paper investigates the fuel savings potential of

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30

Wu, Xiu Ting, Xiao Feng Yin, Xiao Hua Wu, and Qi Chang Yang. "Modeling and Simulation of an Automotive Body Electronic Control System." Applied Mechanics and Materials 278-280 (January 2013): 1754–57. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1754.

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To simplify the wiring harness of automotive body control system, the functional requirements of automotive door locks, window lifters, rearview mirrors, trunk lock, and lights were analyzed, and an architecture of automotive body electronic control system was put forward based on CAN bus technology. The application layer protocol referring SAE J1939 protocol specification was defined. And the door lock system was modeled and simulated as an example by using CANoe. The simulation results show that the proposed architecture of automotive body electronic control system works well, and the reliab

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31

Rodič, Miran, Miro Milanovič, and Mitja Truntič. "Digital Control of an Interleaving Operated Buck-Boost Synchronous Converter Used in a Low-Cost Testing System for an Automotive Powertrain." Energies 11, no. 9 (2018): 2290. http://dx.doi.org/10.3390/en11092290.

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Based on the standardization in the automotive industry, systems require extensive testing, which represents significant costs regarding personnel and equipment. The testing systems must be built in such a way that a bidirectional power flow is possible between the power source and the tested system. Additionally, applied testing systems have to possess high disturbance immunity. Classical current programmed control performed using an analogue approach suffers from low disturbance rejection during switching operation. The digital control of DC–DC converter can solve this problem with the use o

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32

Agarwal, Neeraj, Fabio Chiara, and Marcello Canova. "Control-Oriented Modeling of an Automotive Thermal Management System." IFAC Proceedings Volumes 45, no. 30 (2012): 392–99. http://dx.doi.org/10.3182/20121023-3-fr-4025.00051.

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33

Anselma, Pier Giuseppe, Yi Huo, Joel Roeleveld, Giovanni Belingardi, and Ali Emadi. "Integration of On-Line Control in Optimal Design of Multimode Power-Split Hybrid Electric Vehicle Powertrains." IEEE Transactions on Vehicular Technology 68, no. 4 (2019): 3436–45. http://dx.doi.org/10.1109/tvt.2019.2901901.

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34

Sandrini, Giulia, Marco Gadola, and Daniel Chindamo. "Longitudinal Dynamics Simulation Tool for Hybrid APU and Full Electric Vehicle." Energies 14, no. 4 (2021): 1207. http://dx.doi.org/10.3390/en14041207.

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Due to problems related to environmental pollution and fossil fuels consumption that have not infinite availability, the automotive sector is increasingly moving towards electric powertrains. The most limiting aspect of this category of vehicles is certainly the battery pack, regarding the difficulty in obtaining high range with good performance and low weights. The aim of this work is to provide a simulation tool, which allows for the analysis of the performance of different types of electric and hybrid powertrains, concerning both mechanical and electrical aspects. Through this model it is p

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35

Gök, Umut Murat, and Osman Taha Sen. "Development of a Unique Experimental System Investigating Vibroacoustic Characteristic of Geared Transmission Systems." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (2021): 5391–96. http://dx.doi.org/10.3397/in-2021-3080.

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Gearboxes are widely using in industry, especially in automotive transmission systems. In actual technology level, different component-based quality control methods are applied for the quality control of powertrains but test systems, designed for assembled products, are based on subjective evaluations and scalar measurement of total sound pressure. These systems, especially operating in industrial conditions where background noise is effective, cannot meet the technical requirements. In this paper, the development of a unique experimental platform, capable of testing the powertrain under real

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36

Moskwa, J. J., and J. K. Hedrick. "Modeling and Validation of Automotive Engines for Control Algorithm Development." Journal of Dynamic Systems, Measurement, and Control 114, no. 2 (1992): 278–85. http://dx.doi.org/10.1115/1.2896525.

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There is considerable interest in coordinated automotive engine/transmission control to smooth shifts, and for traction control of front wheel vehicles. This paper outlines a nonlinear dynamic engine model of a port fuel-injected engine, which can be used for control algorithm development. This engine model predicts the mean engine brake torque as a function of the engine controls (i.e., throttle angle, spark advance, fuel flow rate, and exhaust gas recirculation (E. G. R.) flow rate). The model has been experimentally validated for a specific engine, and includes: • intake manifold dynamics,

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Pukrushpan, Jay T., Huei Peng, and Anna G. Stefanopoulou. "Control-Oriented Modeling and Analysis for Automotive Fuel Cell Systems." Journal of Dynamic Systems, Measurement, and Control 126, no. 1 (2004): 14–25. http://dx.doi.org/10.1115/1.1648308.

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Fuel Cells are electrochemical devices that convert the chemical energy of a gaseous fuel directly into electricity. They are widely regarded as a potential future stationary and mobile power source. The response of a fuel cell system depends on the air and hydrogen feed, flow and pressure regulation, and heat and water management. In this paper, we develop a dynamic model suitable for the control study of fuel cell systems. The transient phenomena captured in the model include the flow and inertia dynamics of the compressor, the manifold filling dynamics (both anode and cathode), reactant par

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38

Zhang, Quansheng, and Marcello Canova. "Modeling and output feedback control of automotive air conditioning system." International Journal of Refrigeration 58 (October 2015): 207–18. http://dx.doi.org/10.1016/j.ijrefrig.2015.06.005.

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39

Mantriota, Giacomo, Giulio Reina, and Angelo Ugenti. "Performance Evaluation of a Compound Power-Split CVT for Hybrid Powertrains." Applied Sciences 11, no. 18 (2021): 8749. http://dx.doi.org/10.3390/app11188749.

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The Power-Split Continuously Variable Transmission is one of the most promising architectures for Hybrid Electric Vehicles. These systems have been introduced to improve vehicle global efficiency since they can maximize the efficiency in varying operating conditions. During the design stage, the availability of modeling tools would play a key role in achieving optimal design and control of these architectures. In this work, a compound power split device that combines an electric Continuously Variable Transmission with two planetary gear trains is analyzed. A comprehensive model is derived that

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Arsie, Ivan, Alfonso Di Domenico, Cesare Pianese, and Marco Sorrentino. "Modeling and Analysis of Transient Behavior of Polymer Electrolyte Membrane Fuel Cell Hybrid Vehicles." Journal of Fuel Cell Science and Technology 4, no. 3 (2006): 261–71. http://dx.doi.org/10.1115/1.2743071.

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The paper focuses on the simulation of a hybrid vehicle with proton exchange membrane fuel cell as the main energy conversion system. A modeling structure has been developed to perform accurate analysis for powertrain and control system design. The models simulate the dynamics of the main powertrain elements and fuel cell system to give a sufficient description of the complex interaction between each component under real operating conditions. A control system based on a multilevel scheme has also been introduced and the complexity of control issues for hybrid powertrains have been discussed. T

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Ning, Q., D. Xuan, and Y. Kim. "Modeling and control strategy development for fuel cell hybrid vehicles." International Journal of Automotive Technology 11, no. 2 (2010): 229–38. http://dx.doi.org/10.1007/s12239-010-0029-x.

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42

Della Gatta, Antonio, Luigi Iannelli, Mario Pisaturo, Adolfo Senatore, and Francesco Vasca. "A survey on modeling and engagement control for automotive dry clutch." Mechatronics 55 (November 2018): 63–75. http://dx.doi.org/10.1016/j.mechatronics.2018.08.002.

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43

Shi, Jianjun, and Jionghua Jin. "Automotive Body Assembly Modeling for Dimensional Control Using State Spaee Models." IFAC Proceedings Volumes 30, no. 14 (1997): 55–62. http://dx.doi.org/10.1016/s1474-6670(17)42697-8.

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Deur, J., J. Petric, Asgari, and D. Hrovat. "Recent Advances in Control-Oriented Modeling of Automotive Power Train Dynamics." IEEE/ASME Transactions on Mechatronics 11, no. 5 (2006): 513–23. http://dx.doi.org/10.1109/tmech.2006.882980.

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Fang, Jigen, Xifeng Wang, Jinjun Wu, et al. "Modeling and Control of A High Speed On/Off Valve Actuator." International Journal of Automotive Technology 20, no. 6 (2019): 1221–36. http://dx.doi.org/10.1007/s12239-019-0114-8.

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46

Zhao and Tang. "Modeling and Optimal Shift Control of a Planetary Two-Speed Transmission." World Electric Vehicle Journal 10, no. 3 (2019): 53. http://dx.doi.org/10.3390/wevj10030053.

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To improve the efficiency of electric vehicles (EVs), a planetary two-speed transmission is proposed, which consists of a brushless direct current (BLDC) motor, a turbo-worm reducer, two multi-disc wet brakes, and a Simpson planetary gearset. Based on the devised electronic actuator for shifting, the rotation direction of the BLDC shaft determines the gear ratio of the transmission. For acquiring smooth shift, the state-space equations with control variables of transmission are derived, and a three-stage algorithm is suggested. During the brake engagement process, the optimal control strategy

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47

Ye, X., Z. Jin, X. Hu, Y. Li, and Q. Lu. "Modeling and control strategy development of a parallel hybrid electric bus." International Journal of Automotive Technology 14, no. 6 (2013): 971–85. http://dx.doi.org/10.1007/s12239-013-0107-y.

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Kim, Kiyoung, Namdoo Kim, Jongryeol Jeong, et al. "A Component-Sizing Methodology for a Hybrid Electric Vehicle Using an Optimization Algorithm." Energies 14, no. 11 (2021): 3147. http://dx.doi.org/10.3390/en14113147.

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Many leading companies in the automotive industry have been putting tremendous effort into developing new powertrains and technologies to make their products more energy efficient. Evaluating the fuel economy benefit of a new technology in specific powertrain systems is straightforward; and, in an early concept phase, obtaining a projection of energy efficiency benefits from new technologies is extremely useful. However, when carmakers consider new technology or powertrain configurations, they must deal with a trade-off problem involving factors such as energy efficiency and performance, becau

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Shia, Victor A., Yiqi Gao, Ramanarayan Vasudevan, et al. "Semiautonomous Vehicular Control Using Driver Modeling." IEEE Transactions on Intelligent Transportation Systems 15, no. 6 (2014): 2696–709. http://dx.doi.org/10.1109/tits.2014.2325776.

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Taghavipour, Amir, and Ali Alipour. "HIL Evaluation of a Novel Real-time Energy Management System for an HEV with a Continuously Variable Transmission." Strojniški vestnik – Journal of Mechanical Engineering 67, no. 4 (2021): 142–52. http://dx.doi.org/10.5545/sv-jme.2020.7017.

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Abstract:

One of the most important challenges facing automotive engineers is reducing vehicle fuel consumption and improving the drivability index. Modern hybrid electric powertrains play an important role in reducing fuel consumption. Continuously variable transmission (CVT) is an automatic transmission that can change the gear ratio seamlessly using a belt and pulleys. CVT performs with infinite gear ratios. Controlling and determining the optimal gear ratio, especially in a complex hybrid powertrain, is a major challenge. Therefore, a multi-parametric model predictive controller with real-time imple

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