摘要The structure and working principle of an electro-hydraulic hybrid brake system for electric vehicles were introduced simply. The regenerative braking control strategy of the conventional friction brake system and the influence of the electro-hydraulic brake (EHB) system on the braking energy recovery capability of electric vehicles were discussed. Through characteristics that enable the EHB system to precisely control the braking process of electric vehicles, a theoretical conclusion that friction braking force is distributed to a non-drive shaft to maximize regenerative braking was established. A regenerative braking control strategy based on this conclusion was designed. A simulation research, which verified the effectiveness of the regenerative braking control strategy, was conducted in ADVISOR2002. Result shows that the control strategy can improve the rates of braking energy recovery and effective energy recovery in electric vehicles compared with the traditional parallel brake distribution control strategy.
Abstract：The structure and working principle of an electro-hydraulic hybrid brake system for electric vehicles were introduced simply. The regenerative braking control strategy of the conventional friction brake system and the influence of the electro-hydraulic brake (EHB) system on the braking energy recovery capability of electric vehicles were discussed. Through characteristics that enable the EHB system to precisely control the braking process of electric vehicles, a theoretical conclusion that friction braking force is distributed to a non-drive shaft to maximize regenerative braking was established. A regenerative braking control strategy based on this conclusion was designed. A simulation research, which verified the effectiveness of the regenerative braking control strategy, was conducted in ADVISOR2002. Result shows that the control strategy can improve the rates of braking energy recovery and effective energy recovery in electric vehicles compared with the traditional parallel brake distribution control strategy.
基金资助:Supported by the National Natural Science Foundation of China (No.51275212);the 2014 Jiangsu Province Post-graduate Innovative Fund Project (No.KYLX_1025);the 2013 Industrial Centre Students' Innovative Practice Fund (No.201302)
通讯作者:
HU Dong-hai, E-mail:jsherohu@126.com
E-mail: jsherohu@126.com
引用本文:
胡东海, 何仁. 基于电液复合制动系统的电动汽车再生制动控制策略研究[J]. Journal of Highway and Transportation Research and Development, 2015, 9(1): 105-110.
HU Dong-hai, HE Ren. Regenerative Braking Control Strategy of an Electro-hydraulic Hybrid Brake System. Journal of Highway and Transportation Research and Development, 2015, 9(1): 105-110.
[1] YOONG M K, GAN Y H, GAN G D, et al. Studies of Regenerative Braking in Electric Vehicle[C]//Proceedings of the 2010 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology. Kuala Lumpur:IEEE, 2010:40-45.
[2] YU Zuo-ping, XIONG Lu, ZHANG Li-jun. A Study on the Matching of Electro-hydraulic Brake System[J]. Automotive Engineering,2005, 27(4):455-457. (in Chinese)
[3] [ZK(]JONNER W D, WINNER H, DREILICH L, et al. Electrohydraulic Brake System:The First Approach to Brake-By-Wire Technology[J]. SAE paper 960991, 1996-02-01.
[4] ZHANG Ji-hong. Research of Electric Vehicle Regenerative Braking Control Strategy Based on EHB System[D]. Jilin:Jilin University,2011. (in Chinese)
[5] HAN Jian-bo, ZHANG Lu-bing, LI Bang-guo. Electronic Sensing System for Real Time Identification of the Tire-Road Adhesion[J]. Vehicle & Power Technology,2005,(2):62-64. (in Chinese)
[6] PENG Dong, ZHANG Jian-wu, YIN Cheng-liang. Regenerative Braking Control System Improvement for Parallel Hybrid Electric Vehicle[C]//ITIC 2006 International Technology and Innovation Conference. Hangzhou:ITIC, 2006:1902-1908.
[7] PENG Dong. Study on Combined Control of Regenerative Braking and Anti-Lock Braking System for Hybrid Electric Vehicle[D]. Shanghai:Shanghai Jiaotong University, 2007. (in Chinese)
[8] GAO Y, CHEN L, EHSANI M. Investigation of the Effectiveness of Regenerative Braking for EV and HEV[J]. SAE Paper, 1999-01-2910.
[9] ZHAO Guo-zhu, YANG Zheng-lin, WEI Min-xiang, et al. ECE Regulation Based Modeling and Simulation of Control Strategy for Regenerative Braking in EV and HEV[J]. Journal of Wuhan University of Technology:Transportation Science & Engineering, 2008,32(1):149-152. (in Chinese)
[10] GUO Jin-gang, WANG Jun-ping, CAO Bing-gang. Brake-force Distribution Strategy for Electric Vehicle Based on Maximum Energy Recovery[J]. Journal of Xi'an Jiaotong University, 2008,42(5):607-611. (in Chinese)
[11] EHSANI M, GAO Y, EMASI A. Modern Electric Vehicles, Hybrid Electric Vehicles and Fuel Cell Vehicles-the Basic Principles, Theory and Design[M]. NI Guang-zheng, et al. translated. Biejing:Machinery Industry Press, 2011. (in Chinese)
[12] YU Zhi-sheng. Automobile Theory[M]. Beijing:Machinery Industry Press, 2000. (in Chinese)
[13] GANTT L R, PERKINS D E, ALLEY R J, et al. Regenerative Brake Energy Analysis for the VTREX Plug-in Hybrid Electric Vehicle[C]//Vehicle Power and Propulsion Conference (VPPC). Chicago, IL:IEEE, 2011:1-6.
[14] CHU Liang, SHANG Ming-li, FANG Yong, et al. Braking Force Distribution Strategy for HEV Based on Braking Strength[C]//2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). Changsha:IEEE, 2010:759-764.
[15] LIU Qiao-hua, LI Yue-lin, ZUO Chui, et al. Hybrids Regenerative Braking Simulation[J]. Journal of Automotive Engineering,2011, 1(5):464-468. (in Chinese)
[1]
胡亚辉, 董皓, 张君安. 整体式梯形转向机构最优区域值计算及优化[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 103-110.
[2]
张洪军, 王雪飞, 刘可可. 高速公路清扫车风机系统仿真及优化研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 92-97.
[3]
唐自强, 龚贤武, 潘勇, 唐超, 王玮琳. 基于行驶状态估计的车车协同纵向安全距离模型[J]. Journal of Highway and Transportation Research and Development, 2017, 11(2): 103-110.
[4]
李文亮, 周炜, 张禄, 曹琛. 考虑路面不平度和速度分布的用户目标载荷构建方法[J]. Journal of Highway and Transportation Research and Development, 2017, 11(2): 52-55.
[5]
张禄, 王云鹏, 任春晓, 刘婷洁. 机械零部件时变可靠性及其灵敏度分析[J]. Journal of Highway and Transportation Research and Development, 2016, 10(1): 104-110.
[6]
王书举, 潘一山, 张国胜, 崔海涛. 基于ECE R66法规的客车侧翻碰撞安全性分析[J]. Journal of Highway and Transportation Research and Development, 2015, 9(4): 97-101.
[7]
高晋, 牛子孺, 杨秀建, 张昆. 悬架控制臂液压衬套与整车平顺性关联分析[J]. Journal of Highway and Transportation Research and Development, 2015, 9(4): 102-110.
[8]
贾爱琴, 崔建锋, 陈建军, 高卫. 基于可靠灰色粒子群算法的汽车悬架参数的多目标优化设计[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 102-110.
2015, Vol. 9 
