Integrated electromagnetic braking/driving control of electric vehicles using fuzzy inference

Integrated electromagnetic braking/driving control of electric vehicles using fuzzy inference

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Although the antilock braking system (ABS) has been commonly used in electric vehicles (EVs), most of the vehicles still use the traditional hydraulic-based disc brake in which the driving and the braking systems are two individual modules. A novel integrated driving and braking control system with an ABS for EVs was developed, and an electric scooter was used as the experimental object. While braking, the motor acts as a generator. The autonomously generated inertial energy was used to generate a reverse magnetic braking torque and realise an antilock braking control with fast response. Compared with the existing regenerative and short-circuit braking methods, the proposed method uses back electromotive force to yield a reverse magnetic braking torque in a sophisticated manner. In the proposed method, a capacitor-aided regenerative braking strategy was used in an antilock braking controller. For the ABS control design, the slip ratio was maintained within an optimal range for obtaining the best tyre–road surface adhesion using a fuzzy slip ratio controller to prevent the wheel from skidding during emergency braking. For real-world verification, the electric scooter was subjected to various on-road tests to examine the performance of the proposed method.


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