Downshifting strategy of plug-in hybrid vehicle during braking process for greater regenerative energy

被引:3
作者
Dong, Peng [1 ,2 ]
Li, Junqing [1 ,2 ]
Yao, Kun [1 ,2 ]
Li, Shenlong [3 ]
Wang, Shuhan [1 ,2 ]
Xu, Xiangyang [1 ,2 ]
Guo, Wei [1 ,2 ]
机构
[1] Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Ningbo Inst Technol, Ningbo 315832, Peoples R China
[3] China North Vehicle Res Inst, Beijing 100072, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
P2 hybrid electric vehicle; Regenerative braking; Optimal downshifting strategy; Rule-based strategy design; Multi-speed transmission; DESIGN;
D O I
10.1016/j.conengprac.2024.106049
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The P2 configuration plug-in hybrid electric vehicle (P2-PHEV) equipped with a multi-speed transmission has a high potential for recovering more regenerative energy, as the shifting strategy can be employed to adjust the working zone of the electric motor (EM). However, the existing shifting strategy designed for normal driving conditions cannot achieve optimal regenerative energy recovery. In this study, a shifting strategy used in the regenerative braking process is proposed. First, to make the EM provide more regenerative force during braking, a braking force distribution algorithm is devised while simultaneously considering braking stability and safety. Second, to realize maximum regenerative braking energy recovery, an optimal shifting strategy is designed for regenerative braking. Third, the classical braking process is analyzed and six thresholds are abstracted and optimized to establish a rule for restraining frequent gearshifts raised in the proposed optimal shifting strategy. Finally, the proposed strategy is verified under three standard cycles, results show that the proposed shifting strategy can recover considerable regenerative energy without frequent gearshifts.
引用
收藏
页数:13
相关论文
共 32 条
[1]   DYNAMIC PROGRAMMING [J].
BELLMAN, R .
SCIENCE, 1966, 153 (3731) :34-&
[2]   Vehicle Electrification: Status and Issues [J].
Boulanger, Albert G. ;
Chu, Andrew C. ;
Maxx, Suzanne ;
Waltz, David L. .
PROCEEDINGS OF THE IEEE, 2011, 99 (06) :1116-1138
[3]   Deep reinforcement learning-based multi-objective control of hybrid power system combined with road recognition under time-varying environment [J].
Chen, Jiaxin ;
Shu, Hong ;
Tang, Xiaolin ;
Liu, Teng ;
Wang, Weida .
ENERGY, 2022, 239
[4]   Energy-Optimal Braking Control Using a Double-Layer Scheme for Trajectory Planning and Tracking of Connected Electric Vehicles [J].
Dong, Haoxuan ;
Zhuang, Weichao ;
Yin, Guodong ;
Xu, Liwei ;
Wang, Yan ;
Wang, Fa'an ;
Lu, Yanbo .
CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2021, 34 (01)
[5]   Surrogate-assisted multi-objective optimization for control parameters of adjacent gearshift process with multiple clutches [J].
Dong, Peng ;
Li, Junqing ;
Guo, Wei ;
Lai, Junbin ;
Mao, Feihong ;
Wang, Kaifeng ;
Xu, Xiangyang ;
Wang, Shuhan .
CONTROL ENGINEERING PRACTICE, 2023, 135
[6]   Gearshift Overlap for Multistep Downshift of Automatic Transmissions Based on Iterative Learning Control [J].
Dong, Peng ;
Li, Junqing ;
Guo, Wei ;
Wang, Shuhan ;
Xu, Xiangyang ;
Mao, Feihong ;
Liu, Yi .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024, 29 (01) :224-236
[7]   Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends [J].
Dong, Peng ;
Zhao, Junwei ;
Liu, Xuewu ;
Wu, Jian ;
Xu, Xiangyang ;
Liu, Yanfang ;
Wang, Shuhan ;
Guo, Wei .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 170
[8]   Coordinated clutch slip control for the engine start of vehicles with P2-hybrid automatic transmissions [J].
Dong, Peng ;
Wu, Sihao ;
Guo, Wei ;
Xu, Xiangyang ;
Wang, Shuhan ;
Liu, Yahui .
MECHANISM AND MACHINE THEORY, 2020, 153
[9]   Multi-speed gearbox design and shifting control optimization to minimize fuel consumption, exhaust emissions and drivetrain mechanical losses [J].
Eckert, Jony Javorski ;
da Silva, Samuel Filgueira ;
Santiciolli, Fabio Mazzariol ;
de Carvalho, Aquila Chagas ;
Dedini, Franco Giuseppe .
MECHANISM AND MACHINE THEORY, 2022, 169
[10]   State of the Art and Trends in Electric and Hybrid Electric Vehicles [J].
Ehsani, Mehrdad ;
Singh, Krishna Veer ;
Bansal, Hari Om ;
Mehrjardi, Ramin Tafazzoli .
PROCEEDINGS OF THE IEEE, 2021, 109 (06) :967-984