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Research on Regenerative Braking Control Strategy of Distributed EV based on Braking Intention

机译:基于制动意图的分布式EV再生制动控制策略研究

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Focusing on distributed electric vehicles with in-wheel motors, a novel regenerative braking control strategy based on braking intention is proposed. Firstly, a design scheme for the regenerative braking system is described. Four in-wheel motors and an Electro-Hydraulic Braking (EHB) system are respectively designed for regenerative braking and hydraulic braking. Then, Braking intention recognition self-learning libraries are trained based on Hidden Markov Model method, which is validated by driver-in-loop tests. According to three speed states and four braking intentions, the regenerative braking control strategy for multiple brake modes is developed. The coefficient of regenerative braking is defined to describe the intervening time and proportion of motor maximum regenerative braking. Eventually, the co-simulation results show that the proposed strategy can not only significantly improve the energy recovery capability, but also provide the coordinated control of regenerative braking and hydraulic braking, in consistence with the driver braking intention highly.
机译:专注于带轮式电机的分布式电动车,提出了一种基于制动意图的新型再生制动控制策略。首先,描述了用于再生制动系统的设计方案。四个车载电机和电动液压制动(EHB)系统分别设计用于再生制动和液压制动。然后,制动意图识别自学习库是基于隐藏的Markov模型方法培训的,由驾驶循环测试验证。根据三个速度状态和四个制动意图,开发了多种制动模式的再生制动控制策略。定义再生制动系数以描述运动最大再生制动的中间时间和比例。最终,共仿真结果表明,该策略不仅可以显着提高能量回收能力,还可以提供对再生制动和液压制动的协调控制,其一致性与驾驶员制动意图高度。

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