Design and Implementation of Braking Control for Hybrid Electric Vehicles

Peng Mei, Shichun Yang, Bing-rui Xu, Kangkang Sun, Chao Zhang
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Abstract

Regenerative braking can effectively improve fuel consumption for hybrid electric vehicles, and it is a critical technology related to the multi-objective control situation, which is used to realize vehicle braking safety, the energy of braking recovery, and braking stability. Therefore, this paper put forward an adaptive fuzzy control (AFC) method for energy recovery in electric vehicles, mainly for a regenerative braking system. In particular, adaptive control is designed for estimating the road condition. The fuzzy logic control is proposed based on the braking strength of the vehicle, the battery state of charge, and vehicle speed. Combine the mentioned methods, an electric vehicle model is established in the Simulink environment to verify the applicability of the proposed control algorithm.
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混合动力汽车制动控制的设计与实现
再生制动可以有效提高混合动力汽车的油耗,是一项涉及多目标控制情况的关键技术,用于实现车辆制动安全、制动能量回收和制动稳定性。因此,本文提出了一种用于电动汽车能量回收的自适应模糊控制(AFC)方法,主要针对再生制动系统。特别针对道路状况的估计设计了自适应控制。提出了基于车辆制动强度、电池充电状态和车速的模糊逻辑控制方法。结合上述方法,在Simulink环境下建立了电动汽车模型,验证了所提控制算法的适用性。
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