Journal of Mechanical Engineering ›› 2025, Vol. 61 ›› Issue (4): 195-218.doi: 10.3901/JME.2025.04.195
YOU Guogui1,2, LU Jianwei1, ZHANG Guojun3, SU Junshou4, CAI Zemin2
Received:
2024-02-15
Revised:
2024-07-16
Published:
2025-04-14
CLC Number:
YOU Guogui, LU Jianwei, ZHANG Guojun, SU Junshou, CAI Zemin. Review of Research on Energy Management Strategy for Plug-in Hybrid Electric Vehicles[J]. Journal of Mechanical Engineering, 2025, 61(4): 195-218.
[1] Torres J L,Gonzalez R,Gimenez A,et al. Energy management strategy for plug-in hybrid electric vehicles. A comparative study[J]. Applied Energy,2014,113:816-824. [2] Tang X,Jia T,Hu X,et al. Naturalistic data-driven predictive energy management for plug-in hybrid electric vehicles[J]. IEEE Transactions on Transportation Electrification,2020,7(2):497-508. [3] Miller J M. Propulsion systems for hybrid vehicles[M]. 2nd ed. Beijing:China Machine Press,2016. [4] Wang X,He H,Sun F,et al. Comparative study on different energy management strategies for plug-in hybrid electric vehicles[J]. Energies,2013,6(11):5656-5675. [5] Martínez C,Hu X,Cao D,et al. Energy management in plug-in hybrid electric vehicles:Recent progress and a connected vehicles perspective[J]. IEEE Transactions on Vehicular Technology,2017,66(6):4534-4549. [6] 刘伟. 混合动力汽车系统建模与控制[M]. 北京:机械工业出版社,2015. Liu Wei. Introduction to hybrid vehicle system modeling and control[M]. Beijing:China Machine Press,2015. [7] QIANG P,WU P,PAN T,et al. Real-time approximate equivalent consumption minimization strategy based on the single-shaft parallel hybrid powertrain[J]. Energies,2021,14(23):7919. [8] Neffati A,Marzouki A. Local energy management in hybrid electrical vehicle via fuzzy rules system[J]. AIMS Energy,2020,8(3):421-437. [9] Sarvestani A S,Safavi A A. A novel optimal energy management strategy based on fuzzy logic for a hybrid electric vehicle[C]//2009 IEEE International Conference on Vehicular Electronics and Safety (ICVES). New York:IEEE,2009:141-145. [10] Cezar B,Onea A. A rule-based energy management strategy for parallel hybrid vehicles with super capacitors[C]//15th International Conference on System Theory,Control and Computing. New York:IEEE,2011:1-6. [11] Wang X,He H,Sun F,et al. Application study on the dynamic programming algorithm for energy management of plug-in hybrid electric vehicles[J]. Energies,2015,8(4):3225-3244. [12] Borhan H,Vahidi A,Phillips A M,et al. MPC-based energy management of a power-split hybrid electric vehicle[J]. IEEE Transactions on Control Systems Technology,2012,20(3):593-603. [13] Kim N,Rousseau A. Sufficient conditions of optimal control based on Pontryagin’s minimum principle for use in hybrid electric vehicles[J]. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering,2012,226(9):1160-1170. [14] 洪金龙,高炳钊,董世营,等. 智能网联汽车节能优化关键问题与研究进展[J]. 中国公路学报,2021,34(11):29. HONG Jinlong,GAO Bingzhao,DONG Shiying,et al. Key problems and research progress of energy saving optimization for intelligent connected vehicles[J]. China Journal of Highway and Transport,2021,34(11):29. [15] Lockwood O,Si M. Playing Atari with hybrid quantum-classical reinforcement learning[C]//NeurIPS 2020 Workshop on Pre-registration in Machine Learning. PMLR,2021:285-301. [16] Qi X,Wu G,Boriboonsomsin K,et al. Data-driven reinforcement learning-based real-time energy management system for plug-In hybrid electric vehicles[J]. Transportation Research Record Journal of the Transportation Research Board,2016,2572:1-8. [17] Wu Y,Zhang Y,LI G,et al. A predictive energy management strategy for multi-mode plug-in hybrid electric vehicles based on multi neural networks[J]. Energy,2020,208:118366. [18] Yang N,Han L,Xiang C,et al. An indirect reinforcement learning based real-time energy management strategy via high-order Markov chain model for a hybrid electric vehicle[J]. Energy,2021,236:121337. [19] Zhang H,Peng J,Tan H,et al. A deep reinforcement learning based energy management framework with lagrangian relaxation for plug-in hybrid electric vehicle[J]. IEEE Transactions on Transportation Electrification,2020,7:1146-1160. [20] GONDER J,MARKEL T. Energy management strategies for plug-in hybrid electric vehicles[R]. SAE Paper 2007-01-0290,2007. [21] 王钦普,游思雄,李亮,等. 插电式混合动力汽车能量管理策略研究综述[J]. 机械工程学报,2017,53(16):1-19. Wang Qinpu,You Sixiong,LI Liang,et al. Survey on energy management strategy for plug-in hybrid electric vehicles[J]. Journal of Mechanical Engineering,2017,53(16):1-19. [22] Tie S F,Tan C W. A review of power and energy management strategies in electric vehicles[C]//International Conference on Intelligent & Advanced Systems. New York:IEEE,2012. [23] 苏岭,曾育平,秦大同. 插电式混合动力汽车能量管理策略研究现状和发展趋势[J]. 重庆大学学报,2017,40(2):10-15. SU Ling,ZENG Yuping,QIN Datong. Current situation and development trend of plug-in hybrid electric vehicle’s energy management strategies[J]. Journal of Chongqing University,2017,40(2):10-15. [24] 谢海明,黄勇,王静,等. 插电式混合动力汽车能量管理策略综述[J]. 重庆理工大学学报(自然科学),2015,29(7):1-9. XIE Haiming,HUANG Yong,WANG Jing,et al. Review of energy management strategies for plug-in hevs[J]. Journal of Chongqing University of Technology(Natural Science),2015,29(7):1-9. [25] Rohith J,Mahesha G. Review of energy management strategies in plug-in hybrid-electric vehicles[M]. Berlin:Springer,2022. [26] Li W,Cui H,Nemeth T,et al. Deep reinforcement learning-based energy management of hybrid battery systems in electric vehicles[J]. Journal of Energy Storage,2021,36:102355. [27] XUN Gong,GUO Yaohui,FENG Yiheng,et al. Evaluation of the energy efficiency in a mixed traffic with automated vehicles and human controlled vehicles[C]//2018 IEEE International Conference on Intelligent Transportation Systems (ITSC). 2018. [28] 叶晓. 并联混合动力汽车控制策略研究[D]. 北京:清华大学,2013. Ye Xiao. Research on the control strategy of a paralell hybrid electric vehicle[D]. Beijing:Tsinghua University,2013. [29] TANG X,CHEN J,PU H,et al. Double deep reinforcement learning-based energy management for a parallel hybrid electric vehicle with engine start-stop strategy[J]. IEEE Transactions on Transportation Electrification,2021,8(1):1376-1388. [30] Lee H D,Koo E S. Torque control strategy for a parallel-hybrid vehicle using fuzzy logic[J]. IEEE Industry Applications Magazine,2000,6(6):33-38. [31] Peng J,He H,Xiong R. Rule based energy management strategy for a series-parallel plug-in hybrid electric bus optimized by dynamic programming[J]. Applied Energy,2017,185:1633-1643. [32] Hofman T,Steinbuch M,van Druten R M,et al. Rule-based energy management strategies for hybrid vehicle drivetrains:A fundamental approach in reducing computation time[J]. IFAC Proceedings Volumes,2006,39(16):740-745. [33] Zhou S,Chen Z,Huang D,et al. Model prediction and rule based energy management strategy for a plug-in hybrid electric vehicle with hybrid energy storage system[J]. IEEE Transactions on Power Electronics,2021,36(5):5926-5940. [34] Gao Y,Ehsani M. Design and control methodology of plug-in hybrid electric vehicles[J]. IEEE Transactions on Industrial Electronics,2010,57(2):633-640. [35] Naritomo H,Yoshihiro S,Masashi T,et al. Development of a new two-motor plug-in hybrid system[J]. SAE International Journal of Alternative Powertrains,2013,2(1):135-145. [36] Ding N,Prasad K,Lie T T. Design of a hybrid energy management system using designed rule-based control strategy and genetic algorithm for the series-parallel plug-in hybrid electric vehicle[J]. International Journal of Energy Research,2020,45(2):1627-1644. [37] 崔胜民. 新能源汽车技术解析[M]. 北京:化学工业出版社,2016. Cui Shengmin. Analysis of new energy vehicle technology[M]. Beijing:Chemical Industry Press,2016. [38] Denis N,Dubois M R,Desrochers A. Fuzzy-based blended control for the energy management of a parallel plug-in hybrid electric vehicle[J]. Intelligent Transport Systems IET,2015,9(1):30-37. [39] Yang J,Zhang T,Hong J,et al. Research on driving control strategy and fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle[J]. Energy,2021,233:121221. [40] Li S G,Sharkh S M,Walsh F C,et al. Energy and battery management of a plug-in series hybrid electric vehicle using fuzzy logic[J]. IEEE Transactions on Vehicular Technology,2011,60(8):3571-3585. [41] DEY S,KAMLU S,MISHRA S K. Optimization of fuel consumption and emission for hybrid electric vehicle[C]//Artificial Intelligence and Evolutionary Computations in Engineering Systems:Proceedings of ICAIECES 2015. Springer,2016:715-722. [42] Opila D F,Wang X,Mcgee R,et al. Real-time implementation and hardware testing of a hybrid vehicle energy management controller based on stochastic dynamic programming[J]. Journal of Dynamic Systems Measurement & Control,2013,135(2):021002. [43] Vagg C,Akehurst S,Brace C J,et al. Model-based optimal control of a hybrid electric vehicle using stochastic dynamic programming[C]//6th Conference on Simulation and Testing for Automotive Electronics. 2014. [44] HERRERA V I,SAEZ-DE-IBARRA A,MILO A,et al. Optimal energy management of a hybrid electric bus with a battery-supercapacitor storage system using genetic algorithm[C]//2015 International Conference on Electrical Systems for Aircraft,Railway,Ship Propulsion and Road Vehicles (ESARS). New York:IEEE,2015:1-6. [45] WU X,HU X,YIN X,et al. Convex programming energy management and components sizing of a plug-in fuel cell urban logistics vehicle[J]. Journal of Power Sources,2019,423:358-366. [46] BRAHMA A,GUEZENNEC Y,RIZZONI G. Optimal energy management in series hybrid electric vehicles[C]//Proceedings of the 2000 American Control Conference ACC (IEEE CAT No 00CH36334). New York:IEEE,2000,1:60-64. [47] Ramaswamy N,Sadegh N. Optimization of fuel economy of hybrid electric vehicles using set based dynamic programming[C]//Dynamic Systems and Control Conference. American Society of Mechanical Engineers,2014,46193:V002T20A004. [48] Chen R,ZOU Y,HOU S. Energy management strategy for hybrid electric tracked vehicle based on dynamic programming[C]//Electrical Engineering and Control:Selected Papers from the 2011 International Conference on Electric and Electronics (EEIC 2011) in Nanchang,China on June 20-22,2011,Volume 2. Berlin Heidelberg:Springer,2011:843-851. [49] Li L,Yang C,Zhang Y,et al. Correctional DP-based energy management strategy of plug-in hybrid electric bus for city-bus route[J]. IEEE Transactions on Vehicular Technology,2014,64(7):2792-2803. [50] Chen Z ,Liu W ,Yang Y ,et al. Online energy management of plug-in hybrid electric vehicles for prolongation of all-electric range based on dynamic programming[J]. Mathematical Problems in Engineering Theory Methods & Applications,2015,368769:1-11. [51] Luo Y,Chen T,Zhang S,et al. Intelligent hybrid electric vehicle acc with coordinated control of tracking ability,fuel economy,and ride comfort[J]. IEEE Transactions on Intelligent Transportation Systems,2015,16(4):2303-2308. [52] Li G,Goerges D. Fuel-efficient gear shift and power split strategy for parallel hevs based on heuristic dynamic programming and neural networks[J]. IEEE Transactions on Vehicular Technology,2019,68(10):9519-9528. [53] Nuesch T,Elbert P,Flankl M,et al. Convex optimization for the energy management of hybrid electric vehicles considering engine start and gearshift costs[J]. Energies,2014,7(2):834-856. [54] Xu F,Jiao X,Wang Y,et al. Battery-lifetime-conscious energy management strategy based on SP-SDP for commuter plug-in hybrid electric vehicles[J]. IEEJ Transactions on Electrical and Electronic Engineering,2018,13(3):472-479. [55] Moura S J,Callaway D S,Fathy H K,et al. Tradeoffs between battery energy capacity and stochastic optimal power management in plug-in hybrid electric vehicles[J]. Journal of Power Sources,2010,195(9):2979-2988. [56] Wang Y,Jiao X,Sun Z,et al. Energy management strategy in consideration of battery health for PHEV via stochastic control and particle swarm optimization algorithm[J]. Energies,2017,10(11):1894. [57] Faiz J,Moayed-Zadeh K. Design optimization of switched reluctance machines for starter/generator of hybrid electric vehicle by genetic algorithm[J]. European Transactions on Electrical Power,2013,19(2):302-312. [58] Ho P,Klang E. Intelligent energy distribution for series hevs using determined optimal driving patterns via a genetic algorithm[C]. SAE Technical Papers,2013-01-0572,2013. [59] Zheng C,Mi C C,Rui X,et al. Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming[J]. Journal of Power Sources,2014,248(7):416-426. [60] Trovao J P F,Santos V D N,PEREIRINHA P G,et al. A simulated annealing approach for optimal power source management in a small EV[J]. IEEE Transactions on Sustainable Energy,2013,4(4):867-876. [61] Bashash S,Moura S J,Forman J C,et al. Plug-in hybrid electric vehicle charge pattern optimization for energy cost and battery longevity[J]. Journal of Power Sources,2011,196(1):541-549. [62] Boehme T J,Frank B,Schori M,et al. Multi-objective optimal powertrain design of parallel hybrid vehicles with respect to fuel consumption and driving performance[C]//European Control Conference (ECC). New York:IEEE,2014:1017-1023. [63] Zhang Y,Liu H,Guo Q. Varying-domain optimal management strategy for parallel hybrid electric vehicles[J]. IEEE Transactions on Vehicular Technology,2014,63(2):603-616. [64] Fang L,Qin S,Xu G,et al. Simultaneous optimization for hybrid electric vehicle parameters based on multi-objective genetic algorithms[J]. Energies,2011,4(3):532-544. [65] Yuan Z,Teng L,Sun F,et al. Comparative study of dynamic programming and pontryagin’s minimum principle on energy management for a parallel hybrid electric vehicle[J]. Energies,2013,6(4):2305-2318. [66] Ren Y,Wu Z. Research on the energy management strategy of hybrid vehicle based on Pontryagin’s minimum principle[C]//201810th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). New York:IEEE,2018,2:356-361. [67] Liu T,Yuan Z,Liu D X,et al. Real-time control for a parallel hybrid electric vehicle based on Pontryagin’s minimum principle[C]//IEEE Transportation Electrification Conference and Expo Asia-Pacific. Beijing:National Engineering Lab for Electric Vehicles,2014:1-5. [68] Song Z,Zhang X,Li J,et al. Component sizing optimization of plug-in hybrid electric vehicles with the hybrid energy storage system[J]. Energy,2018,144:393-403. [69] Sharma O P,Onori S,Guezennec Y. Analysis of Pontryagin’s minimum principle-based energy management strategy for PHEV applications[C]//Dynamic Systems and Control Conference. American Society of Mechanical Engineers,2012,45295:145-150. [70] Xie S,Hu X,Xin Z,et al. Pontryagin’s minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus[J]. Applied Energy,2019,236:893-905. [71] KIM N,ROUSSEAU A,LEE D. A jump condition of pmp-based control for phevs[J]. Journal of Power Sources,2011,196(23):10380-10386. [72] Onori S,Tribioli L. Adaptive pontryagin’s minimum Principle supervisory controller design for the plug-in hybrid GM chevrolet volt[J]. Applied Energy,2015,147:224-234. [73] Ngo V,Hofman T,Steinbuch M,et al. Optimal control of the gearshift command for hybrid electric vehicles[J]. IEEE Transactions on Vehicular Technology,2012,61(8):3531-3543. [74] Paganelli G,Delprat S,Guerra T M,et al. Equivalent consumption minimization strategy for parallel hybrid powertrains[C]//Vehicular Technology Conference IEEE 55th Vehicular Technology Conference VTC Spring 2002(Cat No 02CH37367). New York:IEEE,2002,4:2076-2081. [75] Liu X,Qin D,Wang S. Minimum energy management strategy of equivalent fuel consumption of hybrid electric vehicle based on improved global optimization equivalent factor[J]. Energies,2019,12(11):2076. [76] 陈渠. 基于SOC优化轨迹的插电式混合动力汽车能量管理算法研究[D]. 上海:上海交通大学,2020. CHEN Qu. Research on energy management algorithm of plug-in hybrid electric vehicle based on soc optimal trajectory[D]. Shanghai:Shanghai Jiao Tong University,2020. [77] Chasse A,Sciarretta A. Supervisory control of hybrid powertrains:An experimental benchmark of offline optimization and online energy management[J]. Control Engineering Practice,2011,19(11):1253-1265. [78] Larsson V,Johannesson L,Egardt B,et al. Benefit of route recognition in energy management of plug-in hybrid electric vehicles[C]//2012 American Control Conference (ACC). New York:IEEE,2012:1314-1320. [79] Zhang P,Wu X,Du C,et al. Adaptive equivalent consumption minimization strategy for hybrid heavy-duty truck based on driving condition recognition and parameter optimization[J]. Energies,2020,13(20):5407. [80] Onori S,Serrao L,Rizzoni G. Adaptive equivalent consumption minimization strategy for hybrid electric vehicles[C]//Dynamic Systems and Control Conference. 2010,44175:499-505. [81] Yang S,Wang W,Zhang F,et al. Driving-style-oriented adaptive equivalent consumption minimization strategies for hevs[J]. IEEE Transactions on Vehicular Technology,2018,67(10):9249-9261. [82] LEI Z,QIN D,HOU L,et al. An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information[J]. Energy,2020,190:116409. [83] Zhang J,He H,Wang X. Model predictive control based energy management strategy for a plug-in hybrid electric vehicle[C]//20153rd International Conference on Mechanical Engineering and Intelligent Systems. Atlantis Press,2015:875-879. [84] Bruni G,Cordiner S,Mulone V,et al. A study of energy management in domestic micro-grids based on model predictive control strategies[J]. Energy Procedia,2014,61:1012-1016. [85] Zeng X,Wang J. A parallel hybrid electric vehicle energy management strategy using stochastic model predictive control with road grade preview[J]. IEEE Transactions on Control Systems Technology,2015,23(6):2416-2423. [86] Rezaei A,Burl J B. Effects of time horizon on model predictive control for hybrid electric vehicles[J]. IFAC Papersonline,2015,48(15):252-256. [87] Liu R,Wang J,Zhang B. High definition map for automated driving:Overview and analysis[J]. The Journal of Navigation,2020,73(2):324-341. [88] Cairano S D,Bernardini D,Bemporad A,et al. Stochastic MPC with learning for driver-predictive vehicle control and its application to HEV energy management[J]. IEEE Transactions on Control Systems Technology,2014,22(3):1018-1031. [89] Sciarretta A,Guzzella L. Control of hybrid electric vehicles[J]. Control Systems IEEE,2007,27(2):60-70. [90] Wang H,Huang Y,Khajepour A,et al. Model predictive control-based energy management strategy for a series hybrid electric tracked vehicle[J]. Applied Energy,2016,182(15):105-114. [91] Homchaudhuri B,Vahidi A,Pisu P. A fuel economic model predictive control strategy for a group of connected vehicles in urban roads[C]//American Control Conference. New York:IEEE,2015:2741-2746. [92] Homchaudhuri B,Vahidi A,Pisu P. Fast model predictive control-based fuel efficient control strategy for a group of connected vehicles in urban road conditions[J]. IEEE Transactions on Control Systems Technology,2017,25(2):760-767. [93] Guo L,Gao B,Ying G,et al. Optimal energy management for HEVs in eco-driving applications using Bi-level MPC[J]. IEEE Transactions on Intelligent Transportation Systems,2017,18(8):2153-2162. [94] He H,Zhang J,Li G. Model predictive control for energy management of a plug-in hybrid electric bus[J]. Energy Procedia,2016,88:901-907. [95] ZHANG Shuo,XIONG Rui,SUN Fengchun. Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system[J]. Applied Energy,2017,185:1654-1662. [96] XIANG C L,DING F,WANG D W,et al. MPC-based energy management with adaptive Markov-chain prediction for a dual-mode hybrid electric vehicle[J]. Science China(Technological Sciences),2017,5(60):93-104. [97] 张风奇,胡晓松,许康辉,等. 混合动力汽车模型预测能量管理研究现状与展望[J]. 机械工程学报,2019,55(10):100-122. ZHANG Fengqi,HU Xiaosong,XU Kanghui,et al. Current status and prospects for model predictive energy management in hybrid electric vehicles[J]. Journal of Mechanical Engineering,2019,55(10):100-122. [98] Park J,Chen Z,Kiliaris L,et al. Intelligent vehicle power control based on machine learning of optimal control parameters and prediction of road type and traffic congestion[J]. IEEE Transactions on Vehicular Technology,2009,58(9):4741-4756. [99] Khayyam H,Ba B-Hadiashar A. Adaptive intelligent energy management system of plug-in hybrid electric vehicle[J]. Energy,2014,69:319-335. [100] Feng T,Hu Y,Lin Y. A neural network model to calculate the energy demand of the vehicle based on traffic features[C]//2014 Seventh International Symposium on Computational Intelligence and Design. 2014. |
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