分布式四驱电动汽车并联制动控制研究*

doi:10.19562/j.chinasae.qcgc.2020.11.008

Abstract

Abstract: Considering the engineering application requirements of regenerative braking system, a distributed parallel braking control strategy is proposed for distributed four-wheel-drive electric vehicle, which mainly focuses on braking safety and stability, while taking into account braking economy. The strategy adopts a hierarchical control structure, including the desired yaw moment formulation layer, the four-wheel electric braking force distribution layer and braking force constraint layer. Based on the direct yaw moment control, the designed parallel braking control strategy optimizes the braking stability of the vehicle, and comprehensively considers the constraints such as braking strength, battery SOC value, and vehicle speed to improve the braking economy. Finally, a real vehicle test is carried out to verify the effectiveness of the designed parallel braking control strategy under the conditions of right angle turn braking and single lane change braking

Key words: electric vehicle, distributed parallel braking, braking stability, braking energy recovery, real vehicle test

Zhu Shaopeng, Jiang Xudong, Wang Yanran, Ye Xingyu, Yu Kai, Xu Linfeng. Research on Parallel Braking Control of Distributed Four-wheel-drive Electric Vehicle[J].Automotive Engineering, 2020, 42(11): 1506-1512.

References

[1] 宋士刚,李小平,孙泽昌. 基于混合系统理论的串联式再生制动控制策略分析[J]. 汽车工程,2015,37(3):313-320.
SONG Shigang, LI Xiaoping, SUN Zechang. Analysis on the control strategy for series regenerative braking based on hybrid system theory[J]. Automotive Engineering, 2015,37(3):313-320.
[2] PETER C,TARIQ M,KEVIN C. Cutting vehicle emissions with regenerative barking[J]. Transportation Research Part D,2010,5:160-167.
[3] 宋世欣,王庆年,王达. 电动轮汽车再生制动系统控制策略[J]. 吉林大学学报(工学版),2015,45(2):341-346.
SONG Shixin, WANG Qingnian, WANG Da. Control strategy for regenerative braking system of in-wheel motor vehicle[J]. Journal of Jilin University(Engineering and Technology Edition),2015,45(2):341-346.
[4] 郭金刚,董昊轩,盛伟辉,等. 电动汽车再生制动能量回收最优控制策略[J]. 江苏大学学报(自然科学版),2018,39(2):132-138.
GUO Jingang, DONG Haoxuan, SHENG Weihui, et al. Optimum control strategy of regenerative braking energy for electric vehicle[J]. Journal of Jiangsu University (Natural Science Edition) ,2018,39(2):132-138.
[5] 张抗抗,徐梁飞,华剑锋,等. 后驱纯电动车制动能量回收系统及其策略的对比研究[J]. 汽车工程,2015,37(2):125-131,138.
ZHANG Kangkang, XU Liangfei, HUA Jianfeng,et al. A comparative study on regenerative braking system and its strategies for rear-wheel drive battery electric vehicles[J]. Automotive Engineering, 2015,37(2):125-131,138.
[6] 朱绍鹏,林鼎,谢博臻,等. 电动汽车驱动力分层控制策略[J]. 浙江大学学报(工学版),2016,50(11):2094-2099.
ZHU Shaopeng, LIN Ding, XIE Bozhen, et al. Driving force hierarchical control strategy of electric vehicle[J]. Journal of Zhejiang University (Engineering Science) , 2016,50(11):2094-2099.
[7] 葛新成,胡永霞. 模糊控制的现状与发展概述[J]. 现代防御技术,2008,36(3):57-61.
GE Xincheng, HU Yongxia. The present situation and development of fuzzy control[J]. Modern Defense Technology,2008,36(3):57-61.
[8] 崔涛,赵莉. 模糊控制理论和应用的发展概况[J]. 自动化仪表,2002, 23(7):1-3.
CUI Tao, ZHAO Li. The development of fuzzy control theory and Application[J]. Automatic Instrument, 2002, 23(7):1-3.
[9] 黄书荣,邢栋,徐伟. 新能源电动汽车用轮毂电机关键技术综述[J]. 新型工业化,2015, 5(2):27-32.
HUANG Shurong, XING Dong, XU Wei. Key technologies of hub motor for new energy electric vehicle[J]. The Journal of New Industrialization,2015, 5(2):27-32.
[10] 彭焮成,王素娟,刘玉县,等. 基于模糊控制的MEMS陀螺仪数字驱动闭环设计[J]. 传感器与微系统,2019,38(9):105-107,111.
PENG Xincheng, WANG Sujuan, LIU Yuxian, et al. Digital closed-loop drive design based on fuzzy control of MEMS gyroscope[J]. Transducer and Microsystem Technologies, 2019,38(9):105-107,111.
[11] 田韶鹏,吕晨阳. 基于模糊控制的纯电动汽车再生制动策略研究[J]. 物流技术,2018,37(8):92-97,121.
TIAN Shaopeng, LÜ Chenyang. Research on regenerative braking strategy of pure electric vehicles based on fuzzy control[J]. Logistics Technology,2018,37(8):92-97,121.
[12] 谢博臻,朱绍鹏,李俊杰,等. 四驱电动汽车再生制动力控制策略研究[J]. 机电工程,2018,35(1):83-88.
XIE Bozhen, ZHU Shaopeng, LI Junjie, et al. Control strategy on regenerative braking force of four-wheel-drive electric vehicle[J]. Journal of Mechanical & Electrical Engineering,2018,35(1):83-88.
[13] POURSAMAD A, MONTAZERI M. Design of genetic-fuzzy control strategy forparallel hybrid electric vehicles[J]. Control Engineering Practice, 2008,16 (7): 861-873.
[14] 黄雪燕,李云伍,刘得雄,等. 四轮独立驱动电动车制动能量回收控制策略[J]. 科学技术与工程,2018,18(10):167-173.
HUANG Xueyan, LI Yunwu, LIU Dexiong, et al. Control strategy of the braking energy recovery for four-wheel-independent electric vehicle[J]. Science Technology and Engineering, 2018,18(10):167-173.
[15] 黄大星. 多约束条件下汽车复合制动协调优化[J]. 重庆交通大学学报(自然科学版),2015,34(3):146-151.
HUANG Daxing. Coordinated control optimization of composite braking system of hybrid electric vehicle with multi-constraints[J]. Journal of Chongqing Jiaotong University (Natural Science), 2015,34(3):146-151.

[1]	XU Cheng-Shan, JIANG Fa-Chao, SONG Sen-Nan, TIAN Guang-Yu. [J]. , 2017, 39(1): 9 -14 .
[2]	ZHANG Yi-Bing, 吕Jian-Jun , YUAN Guang-Hui. [J]. , 2016, 38(12): 1467 -1470 .
[3]	JIA Ji-De, WU Chun-Zhi, JIA Xiang-Yu, REN Gang, HAN Jia-Jia. [J]. , 2017, 39(1): 97 -101 .
[4]	RONG Bing, XIAO Pan, ZHOU Jian-Wen, LIU Yi-Lu. [J]. , 2017, 39(2): 214 -219 .
[5]	WANG Zhen, CUI Ya-Hui-.Liu-Kai, XU Lin. [J]. , 2017, 39(3): 304 -310 .
[6]	GUAN Xin, XU Liang, GUO Rui, WANG Bo, SONG Hai-Yan. [J]. , 2017, 39(3): 311 -316 .
[7]	JIN Geng-Ri, GUAN Xin, ZHAN Jun, GUO Rui. [J]. , 2017, 39(3): 364 -368 .
[8]	XIONG Xing-Wang, GAO Jun-Hua, ZHOU Tao, YU Jin-Tao. [J]. , 2017, 39(4): 381 -385 .
[9]	CAO Li-Feng, ZHOU Shou-Qin, XIE Xiao-Peng. [J]. , 2017, 39(4): 401 -406 .
[10]	Chen Wenqiang, Xiong Hui, Li Keqiang, Li Xiaofei& Zhang Dezhao. Concurrent Pedestrian and Cyclist Detection Based on Deep Neural Networks[J]. , 2018, 40(6): 726 .

Research on Parallel Braking Control of Distributed Four-wheel-drive Electric Vehicle

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