| Summary: | 碩士 === 臺灣大學 === 電機工程學研究所 === 98 === Traction control aims at maximizing tractive forces and ensuring maneuverability of electric vehicles, while regenerative brake control is used to govern regenerative braking forces and capture regenerative energy. This research presents a slip control system to achieve both control objectives. The slip control system consists of a fuzzy sliding mode slip controller and a full range slip ratio estimator which features no measurement of vehicle speed. This full range slip ratio estimator is capable of estimating slip ratios at either acceleration or deceleration. During acceleration, the slip control system performs traction control for maximizing tractive forces at the tire-road contacts. During deceleration the slip control system performs anti-lock regenerative brake control for maximizing braking forces. Fuzzy sliding mode control technique makes the slip control system robust against perturbations resulting from changes in loads and tire-road friction conditions. The author contributes to accomplish designs of the fuzzy sliding model slip controller, the full range slip-ratio estimator, and the slip-control simulation system. The simulation system consists of a slip-controller module, a slip-ratio-estimator module, a traction motor control module, and a vehicle module. Using this simulation system, an electric vehicle equipped with the sip control system is investigated for traction control and regenerative braking control under several environments. Simulation results show that both the full range slip ratio estimator and the slip control system achieve the goal of design.
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