This article proposes a novel approach to efficiently distribute braking force of an electric vehicle (EV) between friction and regenerative braking with an ultimate goal of maximizing harvested energy during braking. The regenerative braking performance of an EV depends on various factors influenced by the driver behavior and driving conditions, which are challenging to measure or predict in real-time. In the proposed method, the performance map of the traction motor (TM) and its controller is used to define a boundary in which blending of regenerative and friction braking is performed with the goal of maximizing recaptured energy through the regenerative braking process. The performance, effectiveness, and robustness of the proposed strategy are validated through a hardware-in-the-loop (HIL) experimental testbed for a predetermined drive cycle of Urban Dynamometer Driving Schedule (UDDS). It is shown that using the proposed method, the amount of recaptured energy through the regenerative braking process can significantly increase compared to constant or variable boundary methods using a weight factor for brake distribution.

中文翻译：

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电动汽车的最佳制动分配，以最大限度地提高制动过程中的能量收集


本文提出了一种在摩擦制动和再生制动之间有效分配电动汽车 (EV) 制动力的新颖方法，最终目标是最大限度地提高制动过程中收集的能量。电动汽车的再生制动性能取决于驾驶员行为和驾驶条件影响的各种因素，这些因素很难实时测量或预测。在所提出的方法中，牵引电机（TM）及其控制器的性能图用于定义执行再生制动和摩擦制动混合的边界，其目标是通过再生制动过程最大化回收的能量。该策略的性能、有效性和鲁棒性通过硬件在环（HIL）实验测试台针对城市测功机驾驶计划（UDDS）的预定驾驶周期进行了验证。结果表明，与使用制动分配权重因子的恒定或可变边界方法相比，使用所提出的方法，通过再生制动过程重新捕获的能量可以显着增加。