The real-time change of tire-road friction coefficient is one of the important factors that influence vehicle safety performance. Besides, the vehicle wheels' locking up has become an important issue. In order to solve these problems, this paper comes up with a novel slip control of electric vehicle (EV) based on tire-road friction coefficient estimation. First and foremost, a novel method is proposed to estimate the tire-road friction coefficient, and then the reference slip ratio is determined based on the estimation results. Finally, with the reference slip ratio, a slip control based on model predictive control (MPC) is designed to prevent the vehicle wheels from locking up. In this regard, the proposed controller guarantees the optimal braking torque on each wheel by individually controlling the slip ratio of each tire within the stable zone. Theoretical analyses and simulation show that the proposed controller is effective for better braking performance.
Abstract-A new composite braking control strategy is proposed for a rear-wheel-drive electric vehicle (EV) with both a regenerative braking system and a hydraulic braking system to achieve improved braking performance and optimal energy regeneration. Based on the model predictive control (MPC), the proposed braking control strategy maintains the slip ratio within an optimal range by adjusting the braking torque continuously, besides, to recover optimal braking energy, a braking torque allocation strategy of maximum regeneration efficiency is designed. With the control strategy, the regenerative braking system and the hydraulic braking system work synchronously to assure high regenerative efficiency and good braking performance. The proposed braking control strategy is steady and effective, as demonstrated by the simulation.Keywords-composite braking; slip ratio; electric vehicle (EV); model predictive control (MPC); regenerative braking.
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