Performance Evaluation of an Anti-Lock Braking System for Electric Vehicles with a Fuzzy Sliding Mode Controller

Jingang Guo, Xiaoping Jian and Guangyu Lin
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Jingang Guo: School of Automobile, Chang'an University, Xi'an 710061, Shaanxi, China
Xiaoping Jian: School of Automobile, Chang'an University, Xi'an 710061, Shaanxi, China
Guangyu Lin: School of Automobile, Chang'an University, Xi'an 710061, Shaanxi, China

Energies, 2014, vol. 7, issue 10, 1-18

Abstract: Traditional friction braking torque and motor braking torque can be used in braking for electric vehicles (EVs). A sliding mode controller (SMC) based on the exponential reaching law for the anti-lock braking system (ABS) is developed to maintain the optimal slip value. Parameter optimizing is applied to the reaching law by fuzzy logic control (FLC). A regenerative braking algorithm, in which the motor torque is taken full advantage of, is adopted to distribute the braking force between the motor braking and the hydraulic braking. Simulations were carried out with Matlab/Simulink. By comparing with a conventional Bang-bang ABS controller, braking stability and passenger comfort is improved with the proposed SMC controller, and the chatting phenomenon is reduced effectively with the parameter optimizing by FLC. With the increasing proportion of the motor braking torque, the tracking of the slip ratio is more rapid and accurate. Furthermore, the braking distance is shortened and the conversion energy is enhanced.

Keywords: electric vehicle (EV); anti-lock braking system (ABS); sliding mode control; fuzzy logic control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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