Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (8): 1751-1758.doi: 10.13229/j.cnki.jdxbgxb20210150

Previous Articles    

Optimal sliding mode ABS control for electro⁃hydraulic composite braking of distributed driven electric vehicle

Jun-cheng WANG1(),Lin-feng LYU1,Jian-min LI1,Jie-yu REN2   

  1. 1.School of Mechanical Engineering and Automation,Zhejiang Sci-Tech University,Hangzhou 310018,China
    2.Zhejiang Wanxiang Marelli Shock Absorbers,Hangzhou 311200,China
  • Received:2021-02-24 Online:2022-08-01 Published:2022-08-12

Abstract:

In the emergency braking process, the total wheel demand braking torque is calculated and then the regenerative-frictional braking torques are distributed by the distributed driven electric vehicle. However, it not only increases the control complexity, but also is failure to fully utilize the motor energy recovery potential. To improve the anti-lock braking control and energy recovery effects, an optimal sliding mode (OSM)-ABS control system was designed. The regenerative braking torque to achieve a maximum feedback power was regarded as one element of the disturbance vector, and the frictional braking torque was regarded as the only element in the control vector. The control characteristic of the OSM control algorithm is given full utilized, namely, the influences of the disturbance vector in the control system can be compensated by the reaching law solution. On the premise of ensuring the recovery effect of braking energy, the secondary distribution process of braking torque is omitted. The simulation results show that, compared with the general sliding mode ABS control strategy with a regenerative-frictional braking torque distribution process, the proposed OSM-ABS control strategy has satisfactory effects on anti-lock control.

Key words: vehicle engineering, composite braking, anti-lock brake system, energy recovery, optimal sliding mode control

CLC Number: 

  • U461.3

Fig.1

Electro-hydraulic composite braking system"

Fig.2

Single wheel rotation-vehicle body longitudinal dynamics model"

Table 1

Simulation parameters"

参数数值参数数值
M/kg344A/m23.1
CD0.3ρa/(kg·m-31.2258
I/(kg·m20.5r/m0.283
τ0.04f0.01

Fig.3

Curves for braking torque and time under high adhesion ground condition"

Fig.4

Curves for braking torque and time under low adhesion ground condition"

Fig.5

Curves for vehicle velocity and time under high adhesion ground condition"

Fig.6

Curves for slip ratio and time under different braking condition"

Fig.7

Curves for energy and time under high adhesion ground condition"

1 Pang H, Zhang X, Xu Z, et al. Adaptive backstepping-based tracking control design for nonlinear active suspension system with parameter uncertainties and safety constraints[J]. Isa Transactions, 2019, 29(1): 23-36.
2 王骏骋, 何仁. 面向全制动工况的液压制动双环预测控制策略[J]. 吉林大学学报: 工学版, 2020, 50(3): 820-833.
Wang Jun-cheng, He Ren. Double-loop predictive control scheme of hydraulic braking system using in the all braking conditions[J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(3): 820-833.
3 Wang J C, He R. Varying charge voltage in steps control method of ABS for in-wheel motors driven electric vehicle based on improved LQG scheme[J]. IEEE Access, 2018, 6: 15039-15050.
4 Wang C Y, Zhao W Z, Li W. Braking sense consistency strategy of electro-hydraulic composite braking system[J]. Mechanical Systems Signal Processing, 2018, 109: 196-219.
5 王骏骋, 何仁. 电动车辆ABS的改进线性二次型最优控制[J]. 哈尔滨工业大学学报, 2018, 50(9): 108-115.
Wang Jun-cheng, He Ren. Improved linear quadratic optimal control of ABS for an electric vehicle[J]. Journal of Harbin Institute of Technology, 2018, 50(9): 108-115.
6 Heydari S, Fajri P, Sabzehgar R, et al. Optimal brake allocation in electric vehicles for maximizing energy harvesting during braking[J]. IEEE Transacions on Energy Conversion, 2020, 35(4): 1806-1814.
7 Kunagone K, Werachet K N. Performance evaluation of regenerative braking system based on a HESS in extended range BEV[J]. Journal of Electrical Engineering and Technology, 2018, 13(5): 1965-1977.
8 余卓平, 史彪飞, 熊璐, 等. 集成式电子液压制动系统的复合制动协调控制[J]. 同济大学学报: 自然科学版, 2019, 47(6): 851-856.
Yu Zhuo-ping, Shi Biao-fei, Xiong Lu, et al. Coordinated control of hybrid braking based on integrated-electric-hydraulic brake system[J]. Journal of Tongji University(Natural Science), 2019, 47(6): 851-856.
9 马金麟, 王新飞, 张厚忠, 等. 电动轮汽车电液复合制动方向稳定性分层控制[J]. 汽车工程, 2019, 41(3): 320-326.
Ma Jin-lin, Wang Xin-fei, Zhang Hou-zhong, et al. A study on hierarchical control of directional stability of electric-wheel vehicle with electro-hydraulic braking[J]. Automotive Engineering,2019,41(3):320-326.
10 潘宁, 于良耀, 张雷, 等. 电液复合制动系统防抱控制的舒适性[J]. 浙江大学学报: 工学版, 2017, 51(1): 9-16.
Pan Ning, Yu Liang-yao, Zhang Lei, et al. Anti-lock braking control in coordinated braking system considering braking comfort[J]. Journal of Zhejiang University(Engineering Science), 2017, 51(1): 9-16.
11 王骏骋, 何仁. 电动轮轮内主动减振器的非线性最优滑模模糊控制[J]. 汽车工程, 2018, 40(6): 719-725.
Wang Jun-cheng, He Ren. Nonlinear optimal sliding mode fuzzy control for in-wheel active vibration damper of electric wheel[J]. Automotive Engineering, 2018, 40(6): 719-725.
12 Wang J C, He R, Kim Y B. Optimal anti-lock braking control with nonlinear variable voltage charging scheme for an electric vehicle[J]. IEEE Transactions on Vehicular Technology, 2020, 69(7): 7211-7222.
13 余卓平, 左建令, 陈慧. 基于四轮轮边驱动电动车的路面附着系数估算方法[J]. 汽车工程, 2007, 29(2): 141-145.
Yu Zhuo-ping, Zuo Jian-ling, Chen Hui. Tire-road friction coefficient estimation with four wheel in-wheel-motor drive vehicle[J]. Automotive Engineering, 2007, 29(2): 141-145.
14 李静, 石求军, 刘鹏, 等. 基于纵向车速估算的商用车ABS神经网络滑模控制[J]. 吉林大学学报: 工学版, 2019, 49(4): 1017-1025.
Li Jing, Shi Qiu-jun, Liu Peng, et al. Neural network sliding mode control of commercial vehicle ABS based on longitudinal vehicle speed estimation[J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1017-1025.
15 王骏骋,何仁.轮毂电机电动汽车的变压充电再生制动控制[J].机械工程学报, 2020, 56(10): 181-190.
Wang Jun-cheng, He Ren. Voltage variable charging regenerative braking control strategy for in-wheel motors driven vehicle[J]. Journal of Mechanical Engineering, 2020, 56(10): 181-190.
16 张雷, 于良耀, 宋健, 等. 电动汽车再生制动与液压制动防抱死协调控制[J]. 清华大学学报: 工学版, 2016, 56(2): 152-159.
Zhang Lei, Yu Liang-yao, Song Jian, et al. Coordinated anti-lock braking control of regenerative and hydraulic braking systems in electric vehicles[J]. Journal of Tsinghua University(Science and Technology), 2016, 56(2): 152-159.
[1] Han-wu LIU,Yu-long LEI,Xiao-feng YIN,Yao FU,Xing-zhong LI. Multi⁃point control strategy optimization for auxiliary power unit of range⁃extended electric vehicle [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1741-1750.
[2] Qing GAO,Hao-dong WANG,Yu-bin LIU,Shi JIN,Yu CHEN. Experimental analysis on spray mode of power battery emergency cooling [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1733-1740.
[3] Hong-bo YANG,Wen-ku SHI,Zhi-yong CHEN,Nian-cheng GUO,Yan-yan ZHAO. Optimization of tooth surface modification based on a two-stage reduction gear system [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(7): 1541-1551.
[4] Guang-ming NIE,Bo XIE,Yan-tao TIAN. Design of cooperative adaptive cruise control algorithm based on Frenet framework [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(7): 1687-1695.
[5] Jia-xu ZHANG,Chong GUO,Chen WANG,Jian ZHAO,Xin-zhi WANG. Performance evaluation of automatic parking system based on hardware in the loop simulation platform [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(7): 1552-1560.
[6] Shuai HAO,Chuan-tai CHENG,Jun-nian WANG,Jun-yuan ZHANG,You YU. Ergonomic optimization and test evaluation of sports SUV cockpit layout design [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(7): 1477-1488.
[7] Chen HUA,Run-xin NIU,Biao YU. Methods and applications of ground vehicle mobility evaluation [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(6): 1229-1244.
[8] Xiong LI,Feng-chong LAN,Ji-qing CHEN,Fang TONG. Comparison of injuries in front impact between Hybird III dummy model and CHUBM human biomechanical model [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(6): 1264-1272.
[9] Ying-chao ZHANG,Yun-hang LI,Zi-yu GUO,Guo-hua WANG,Zhe ZHANG,Chang SU. Optimization of the aerodynamic drag reduction of a cab behind engine vehicle [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 745-753.
[10] Wen-ku SHI,Shu-guang ZHANG,You-kun ZHANG,Zhi-yong CHEN,Yi-fei JIANG,Bin-bin LIN. Parameter identification of magnetorheological damper model with modified seagull optimization algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 764-772.
[11] Jie LI,Tao CHEN,Wen-cui GUO,Qi ZHAO. Pseudo excitation method of vehicle non-stationary random vibration in space domain and its application [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 738-744.
[12] Wei LI,Hai-sheng SONG,Hao-yu LU,Wen-ku SHI,Qiang WANG,Xiao-jun WANG. Linear identification method of hysteresis characteristic of composite leaf springs [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 829-836.
[13] Wei-min ZHUANG,Shen CHEN,Di WU. Influence of strengthening form of CFRP on transverse impact performance of steel tube [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 819-828.
[14] Liang DUAN,Chun-yuan SONG,Chao LIU,Wei WEI,Cheng-ji LYU. State recognition in bearing temperature of high-speed train based on machine learning algorithms [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 53-62.
[15] Wei-min ZHUANG,Shen CHEN,Nan WANG. Influence on thermal stress of autobody steel-aluminum clinch-adhesive connection structure [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 70-78.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!