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Title: All-electric intelligent anti-lock braking controller for electric vehicle under complex road condition
Authors: Xu, CD
Cheng, KWE 
Keywords: All-electric
Anti-lock braking system
Electric vehicle
Intelligent ABS
Road condition
State machine theory
Issue Date: 2017
Source: 2016 International Symposium on Electrical Engineering, ISEE 2016, 7845986 How to cite?
Abstract: All-electric intelligent anti-lock braking system (ABS) is a new technology to be developed and applied in the Electric Vehicles(EVs). It could completely replace the traditional mechanical brake as well as hybrid ABS system which is not suitable for electric vehicles. Thus it greatly improves the reaction speed, shorten the braking time, and is more easily to be integrated in the electric vehicle central control unit. It improves the braking performance by optimizing the coefficient of tire adhesion to the ground to in order obtain Maximum braking force. This paper examines an integrated controller of the ABS using Simulink/Stateflow module of Matlab, which consists of a traditional continuous PID and logic limits controller based on finite state machine theory. The two controllers regulate slip ratio and deceleration simultaneously, which can effectively optimize the braking characteristics and further improve the safety of ABS. The ABS parameters including Vehicle velocity, wheel rotational speed, braking displacement, pressure state and slip ratio are investigated to reveal the performance of ABS. This method is simple and suitable for all electric ABS. More importantly, it could solve braking problem under complex road condition and a sudden change of road condition. Quarter-car system is studied for the concept such that the proposed controller can effectively shorten braking distance and duration and also enhance the stability of ABS and has potential to applied to all electric vehicle.
Description: International Symposium on Electrical Engineering (ISEE), Hong Kong, PEOPLES R CHINA, DEC 14, 2016
ISBN: 9781509058839
DOI: 10.1109/EENG.2016.7845986
Appears in Collections:Conference Paper

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