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

• Published in: International journal of automotive technology Vol. 19; no. 4; pp. 727 - 742
• Main Authors: Aksjonov, Andrei, Vodovozov, Valery, Augsburg, Klaus, Petlenkov, Eduard
• Format: Journal Article
• Language: English
• Published: Seoul The Korean Society of Automotive Engineers 01.08.2018; Springer Nature B.V
• Subjects: Antilock braking systems; Automotive Engineering; Braking systems; Control methods; Controllers; Deceleration; Electric vehicles; Engineering; Fuzzy control; Fuzzy logic; Maneuvers; Road surface; Vehicle safety; Fuzzy control; Electric vehicles; Vehicle safety; Vehicle dynamics; Anti-lock braking system
• ISSN: 1229-9138; 1976-3832
• DOI: 10.1007/s12239-018-0070-8

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.