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Regenerative braking system development and perspectives for electric vehicles: An overview

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  • Yang, Chao
  • Sun, Tonglin
  • Wang, Weida
  • Li, Ying
  • Zhang, Yuhang
  • Zha, Mingjun

Abstract

Energy depletion and environmental pollution have always been challenges hindering the rapid development of the automotive industry. Electric vehicles (EVs), being promoted worldwide, are expected to bring benefits to energy security and environmental conservation. As one of the key technologies to improve energy efficiency and extend the driving range of EVs, regenerative braking has attracted extensive attention. The aim of this study is to review the configuration, control strategy, and energy-efficiency analysis of regenerative braking systems (RBSs). First, the configuration of RBSs is introduced, including the development of electric motors, friction braking actuators, and energy-storage units, and the application of RBSs to EVs is briefly elaborated. Then, the regenerative braking control strategy is summarized from three perspectives, that is, energy economy under general braking, braking stability under emergency braking, and driving comfort under braking mode switching. Among these, mainly the energy-recovery economy of the regenerative braking control strategy is analyzed. In addition, energy-transfer efficiency is analyzed considering the transmission system efficiency and low-speed working characteristics of electric motors. Finally, the challenges of RBSs in the application of EVs are discussed, which provides insights for future research.

Suggested Citation

  • Yang, Chao & Sun, Tonglin & Wang, Weida & Li, Ying & Zhang, Yuhang & Zha, Mingjun, 2024. "Regenerative braking system development and perspectives for electric vehicles: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:rensus:v:198:y:2024:i:c:s1364032124001126
    DOI: 10.1016/j.rser.2024.114389
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    as
    1. Riba, Jordi-Roger & López-Torres, Carlos & Romeral, Luís & Garcia, Antoni, 2016. "Rare-earth-free propulsion motors for electric vehicles: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 367-379.
    2. Di Zhao & Liang Chu & Nan Xu & Chengwei Sun & Yanwu Xu, 2018. "Development of a Cooperative Braking System for Front-Wheel Drive Electric Vehicles," Energies, MDPI, vol. 11(2), pages 1-24, February.
    3. Yang Yang & Xiaolong He & Yi Zhang & Datong Qin, 2018. "Regenerative Braking Compensatory Control Strategy Considering CVT Power Loss for Hybrid Electric Vehicles," Energies, MDPI, vol. 11(3), pages 1-15, February.
    4. Tang, Qingsong & Yang, Yang & Luo, Chang & Yang, Zhong & Fu, Chunyun, 2022. "A novel electro-hydraulic compound braking system coordinated control strategy for a four-wheel-drive pure electric vehicle driven by dual motors," Energy, Elsevier, vol. 241(C).
    5. Liu, Teng & Tan, Wenhao & Tang, Xiaolin & Zhang, Jinwei & Xing, Yang & Cao, Dongpu, 2021. "Driving conditions-driven energy management strategies for hybrid electric vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    6. Jing Li & Tong Wu & Tianxin Fan & Yan He & Lingshuai Meng & Zuoyue Han, 2020. "Clamping force control of electro–mechanical brakes based on driver intentions," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-30, September.
    7. Jianhao Zhou & Jing Sun & Longqiang He & Yi Ding & Hanzhang Cao & Wanzhong Zhao, 2019. "Control Oriented Prediction of Driver Brake Intention and Intensity Using a Composite Machine Learning Approach," Energies, MDPI, vol. 12(13), pages 1-20, June.
    8. Valery Vodovozov & Zoja Raud & Eduard Petlenkov, 2021. "Review on Braking Energy Management in Electric Vehicles," Energies, MDPI, vol. 14(15), pages 1-26, July.
    9. Guoqing Xu & Weimin Li & Kun Xu & Zhibin Song, 2011. "An Intelligent Regenerative Braking Strategy for Electric Vehicles," Energies, MDPI, vol. 4(9), pages 1-17, September.
    10. Zhu, Yueying & Wu, Hao & Zhen, Chengcong, 2021. "Regenerative braking control under sliding braking condition of electric vehicles with switched reluctance motor drive system," Energy, Elsevier, vol. 230(C).
    11. Li, Liang & Wang, Xiangyu & Xiong, Rui & He, Kai & Li, Xujian, 2016. "AMT downshifting strategy design of HEV during regenerative braking process for energy conservation," Applied Energy, Elsevier, vol. 183(C), pages 914-925.
    12. Yang Yang & Yundong He & Zhong Yang & Chunyun Fu & Zhipeng Cong, 2020. "Torque Coordination Control of an Electro-Hydraulic Composite Brake System During Mode Switching Based on Braking Intention," Energies, MDPI, vol. 13(8), pages 1-19, April.
    13. Li, Zhenhe & Khajepour, Amir & Song, Jinchun, 2019. "A comprehensive review of the key technologies for pure electric vehicles," Energy, Elsevier, vol. 182(C), pages 824-839.
    14. He, Hongwen & Wang, Chen & Jia, Hui & Cui, Xing, 2020. "An intelligent braking system composed single-pedal and multi-objective optimization neural network braking control strategies for electric vehicle," Applied Energy, Elsevier, vol. 259(C).
    15. Yafei Xin & Tiezhu Zhang & Hongxin Zhang & Qinghai Zhao & Jian Zheng & Congcong Wang, 2019. "Fuzzy Logic Optimization of Composite Brake Control Strategy for Load-Isolated Electric Bus," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-14, October.
    16. Yang, Chao & Wang, Muyao & Wang, Weida & Pu, Zesong & Ma, Mingyue, 2021. "An efficient vehicle-following predictive energy management strategy for PHEV based on improved sequential quadratic programming algorithm," Energy, Elsevier, vol. 219(C).
    17. Sangjune Eum & Jihun Choi & Sang-Shin Park & Changhee Yoo & Kanghyun Nam, 2017. "Robust Clamping Force Control of an Electro-Mechanical Brake System for Application to Commercial City Buses," Energies, MDPI, vol. 10(2), pages 1-12, February.
    18. Li, Liang & Li, Xujian & Wang, Xiangyu & Song, Jian & He, Kai & Li, Chenfeng, 2016. "Analysis of downshift’s improvement to energy efficiency of an electric vehicle during regenerative braking," Applied Energy, Elsevier, vol. 176(C), pages 125-137.
    19. Yang Yang & Chao Wang & Quanrang Zhang & Xiaolong He, 2017. "Torque Coordination Control during Braking Mode Switch for a Plug-in Hybrid Electric Vehicle," Energies, MDPI, vol. 10(11), pages 1-16, October.
    20. Cong Geng & Dawen Ning & Linfu Guo & Qicheng Xue & Shujian Mei, 2021. "Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicle," Energies, MDPI, vol. 14(8), pages 1-19, April.
    21. Pugi, L. & Pagliai, M. & Nocentini, A. & Lutzemberger, G. & Pretto, A., 2017. "Design of a hydraulic servo-actuation fed by a regenerative braking system," Applied Energy, Elsevier, vol. 187(C), pages 96-115.
    22. Hannan, M.A. & Hoque, M.M. & Mohamed, A. & Ayob, A., 2017. "Review of energy storage systems for electric vehicle applications: Issues and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 771-789.
    23. Enang, Wisdom & Bannister, Chris, 2017. "Modelling and control of hybrid electric vehicles (A comprehensive review)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1210-1239.
    24. Hanwu Liu & Yulong Lei & Yao Fu & Xingzhong Li, 2020. "An Optimal Slip Ratio-Based Revised Regenerative Braking Control Strategy of Range-Extended Electric Vehicle," Energies, MDPI, vol. 13(6), pages 1-21, March.
    25. Wu, Jian & Wang, Xiangyu & Li, Liang & Qin, Cun'an & Du, Yongchang, 2018. "Hierarchical control strategy with battery aging consideration for hybrid electric vehicle regenerative braking control," Energy, Elsevier, vol. 145(C), pages 301-312.
    26. Zhang, Junjiang & Yang, Yang & Hu, Minghui & Yang, Zhong & Fu, Chunyun, 2021. "Longitudinal–vertical comprehensive control for four-wheel drive pure electric vehicle considering energy recovery and ride comfort," Energy, Elsevier, vol. 236(C).
    27. Hongqiang Guo & Hongwen He & Fengchun Sun, 2013. "A Combined Cooperative Braking Model with a Predictive Control Strategy in an Electric Vehicle," Energies, MDPI, vol. 6(12), pages 1-21, December.
    28. Uddin, Kotub & Jackson, Tim & Widanage, Widanalage D. & Chouchelamane, Gael & Jennings, Paul A. & Marco, James, 2017. "On the possibility of extending the lifetime of lithium-ion batteries through optimal V2G facilitated by an integrated vehicle and smart-grid system," Energy, Elsevier, vol. 133(C), pages 710-722.
    29. Yang Yang & Chang Luo & Pengxi Li, 2017. "Regenerative Braking Control Strategy of Electric-Hydraulic Hybrid (EHH) Vehicle," Energies, MDPI, vol. 10(7), pages 1-18, July.
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