Coordinated control strategy for braking and shifting for electric vehicle with two-speed automatic transmission

被引:20
|
作者
Liu, Yonggang [1 ,2 ]
Gao, Dekun [1 ,2 ]
Zhai, Kening [3 ]
Huang, Qi [4 ]
Chen, Zheng [5 ]
Zhang, Yi [6 ]
机构
[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China
[2] Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing 400044, Peoples R China
[3] Dongfeng Liuzhou Automobile Co Ltd, Passenger Car Technol Ctr, Liuzhou 545005, Guangxi, Peoples R China
[4] Chongqing Univ Sci & Technol, Sch Mech & Power Engn, Chongqing 401331, Peoples R China
[5] Kunming Univ Sci & Technol, Fac Transportat Engn, Kunming 650500, Yunnan, Peoples R China
[6] Univ Michigan Dearborn, Dept Mech Engn, Dearborn, MI 48128 USA
基金
中国国家自然科学基金;
关键词
Electric vehicle; Regenerative braking; Multi-objective cuckoo search; Swarm intelligence algorithm; REGENERATIVE BRAKING; COOPERATIVE CONTROL; ENERGY MANAGEMENT; SYSTEM; DESIGN; EFFICIENCY;
D O I
10.1016/j.etran.2022.100188
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a coordinated control strategy for braking and shifting of electric vehicles that are equipped with a two-speed automatic transmission. The coordinated control strategy mainly includes braking force distribution and synthetic shifting regulation for braking operations. Firstly, the vehicle model is established for investigation of the shift process during braking. Then, the braking force distribution considering energy efficiency is presented, and the regenerative braking force is calculated. With the target of maximizing energy recovery and ensuring driving comfort, an optimal shift schedule during regenerative braking is advanced based on the multi-objective cuckoo search algorithm. Due to the interaction of regenerative braking force in torque releasing and restoring process, an adaptive braking mode switching control is proposed to improve the shifting smoothness. The detailed simulations and hardware-in-the-loop validations are conducted to verify the anticipated performance of the proposed strategy. (C) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:16
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