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A Fuzzy Sliding-Mode Control for Regenerative Braking System of Electric Vehicle

机译:电动汽车再生制动系统模糊滑模控制

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This paper presents a novel sliding-mode control scheme with fuzzy logic control approach for the energy management of electric vehicles subject to a regenerative braking system. Based on the μ−slip curve, the road friction coefficient can be estimated. A fuzzy logic controller is designed to adjust the sliding mode parameters according to the slip ratio tracking error between the optimal slip ratio and the actual slip ratio. The proposed torque distribution strategy can integrate the best battery condition and energy recovery efficiency through this control method by determining the hydraulic braking torque and regenerative braking torque, which consider related constraints. The simulations have been conducted in the Simulink environment based on an electric vehicle model to verify the proposed controller.
机译:本文介绍了一种新的滑模控制方案,具有模糊逻辑控制方法,用于经过再生制动系统的电动车辆的能量管理。 基于μ滑曲线,可以估计道路摩擦系数。 模糊逻辑控制器旨在根据最佳滑动比率和实际滑动比率根据滑动比跟踪误差调节滑动模式参数。 通过确定液压制动扭矩和再生制动扭矩,所提出的扭矩分布策略可以通过该控制方法整合最佳电池状况和能量回收效率,这考虑了相关限制。 在基于电动车辆模型的Simulink环境中进行了模拟,以验证所提出的控制器。

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