Abstract
To simultaneously track the ideal slip rate and realize ideal energy recovery efficiency under different complex road conditions, an electro-hydraulic compound anti-lock braking system based on interval type-2 fuzzy logic control strategy and its corresponding braking torque allocation strategy have been developed for electric vehicles. The proposed interval type-2 fuzzy logic controller aims to calculate the ideal total braking torque by four steps, namely, fuzzification, fuzzy inference, type reduction, and defuzzification. The slip rate error and the change rate of slip rate error are utilized as inputs in the fuzzification, and then, the membership degree interval of fuzzy variables determined by the upper and lower membership functions is used to calculate the activation degree interval of different fuzzy rules in the fuzzy inference process, which enhances the anti-interference ability to external uncertainties and internal uncertainties. The braking torque allocation strategy is proposed to maintain the maximum energy recovery efficiency on the premise of safe braking. The software of MATLAB/Simulink is applied to simulate the process of anti-lock braking control under two complex road conditions. Simulation results corroborate the proposed interval type-2 fuzzy logic anti-lock braking control system can not only obtain better slip rate control effect and outstanding robustness but also achieve ideal regenerative braking energy recovery efficiency under both joint-μ and split-μ road surfaces.
Highlights
IntroductionIn the face of the problems of environmental pollution and energy shortage, electric vehicles (EVs) have become the main development direction of the automotive industry [1]
In the face of the problems of environmental pollution and energy shortage, electric vehicles (EVs) have become the main development direction of the automotive industry [1].Taking advantage of both regenerative braking subsystem in braking energy recovery and traditional hydraulic braking subsystem in high power density, the electro-hydraulic compound braking system has great potential to make a trade-off between energy saving and braking control effect for EVs [2]
The possible reasons are that the computing process is complex and time-consuming, which is unfit for the time-varying anti-lock braking system (ABS) model, and the fuzzy rules are difficult to be formulated without sufficient experience. This present study aims to fulfill the excellent optimal slip rate tracking effect under complex road conditions by introducing an electro-hydraulic compound anti-lock braking control system
Summary
In the face of the problems of environmental pollution and energy shortage, electric vehicles (EVs) have become the main development direction of the automotive industry [1]. Taking advantage of both regenerative braking subsystem in braking energy recovery and traditional hydraulic braking subsystem in high power density, the electro-hydraulic compound braking system has great potential to make a trade-off between energy saving and braking control effect for EVs [2]. The anti-lock braking function of EVs can be done by the electro-hydraulic compound braking system to make a trade-off between the energy saving and anti-lock braking control effects
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