Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

被引：0

作者：

Andrei Aksjonov

Valery Vodovozov

Klaus Augsburg

Eduard Petlenkov

机构：

[1] SKODA AUTO a.s.,Department of Electrical Power Engineering and Mechatronics, School of Engineering

[2] Tallinn University of Technology,Automotive Engineering Group, Department of Mechanical Engineering

[3] Technische Universität Ilmenau,Department of Computer Systems, School of Information Technologies

[4] Tallinn University of Technology,undefined

来源：

International Journal of Automotive Technology | 2018年 / 19卷

关键词：

Fuzzy control; Anti-lock braking system; Electric vehicles; Vehicle dynamics; Vehicle safety;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper presents a regenerative anti-lock braking system control method with road detection capability. The aim of the proposed methodology is to improve electric vehicle safety and energy economy during braking maneuvers. Vehicle body longitudinal deceleration is used to estimate a road surface. Based on the estimation results, the controller generates an appropriate braking torque to keep an optimal for various road surfaces wheel slip and to regenerate for a given motor the maximum possible amount of energy during vehicle deceleration. A fuzzy logic controller is applied to fulfill the task. The control method is tested on a four in-wheel-motor drive sport utility electric vehicle model. The model is constructed and parametrized according to the specifications provided by the vehicle manufacturer. The simulation results conducted on different road surfaces, including dry, wet and icy, are introduced.

引用

页码：727 / 742

页数：15

共 82 条

[1]

Aksjonov A.(2016)Design and simulation of the robust ABS and ESP fuzzy logic controller on the complex braking maneuvers Applied Sciences 6 382-390

[2]

Augsburg K.(2016)Novel electrohydraulic brake system with tire-road friction estimation and continuous brake pressure control IEEE Trans. Industrial Electronics 63 1863-1875

[3]

Vodovozov V.(2010)Adhesion control method based on fuzzy logic control for fourwheel driven electric vehicle SAE Int. J. Passenger Cars-Mechanical Systems 3 217-225

[4]

Castillo J. J.(2013)Fuzzy life-extending control of anti-lock braking system Ain Shams Engineering Journal 4 735-751

[5]

Cabrera J. A.(2014)Performance evaluation of an anti-lock braking system for electric vehicles with a fuzzy sliding mode controller Energies 7 6459-6476

[6]

Guerra A. J.(2015)Robust estimation of maximum tire-road friction coefficient considering road surface irregularity Int. J. Automotive Technology 17 415-425

[7]

Simon A. A.(2006)Intelligent control for ABS application with identification of road and environmental properties Int. J. Vehicle Autonomous Systems 4 44-67

[8]

Chen H.(2015)A review of fuzzy methods in automotive engineering applications European Transport Research Review 7 19-29

[9]

Yang J.(2003)Application of fuzzy control algorithm for electric vehicle antilock braking/traction control systems IEEE Trans. Vehicular Technology 52 1356-1364

[10]

Du Z.(2008)Vehicle stability enhancement of four-wheel-drive hybrid electric vehicle using rear motor control IEEE Trans. Vehicular Technology 57 727-735

← 1 2 3 4 5 6 7 8 9 →