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Fuzzy logic control in regenerative braking system for electric vehicle

机译:电动汽车再生制动系统的模糊逻辑控制

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In this paper a regenerative braking energy recovery control strategy for electric vehicle (EV) based on fuzzy logic control is proposed. By analyzing the characteristic and the influence factors of the regenerative braking, the sugeno fuzzy logic controller (FLC) is established. Under assurance of braking safety and stability, the strategy distributes regenerative braking force and frictional braking force reasonably during braking, to make use of regenerative braking characteristic of motor as much as possible, so that much more kinetic energy can be converted into electric energy and stored in the battery. Model based on fuzzy logic control was established under the Matlab/Simulink environment and embedded into simulation software ADVISOR. Simulation experiments with different driving cycles were carried out, and the feasibility and effectiveness of fuzzy logic control strategy is tested with the state of charge (SOC) and braking energy recovery.
机译:提出了一种基于模糊逻辑控制的电动汽车再生制动能量回收控制策略。通过分析再生制动的特点和影响因素,建立了sugeno模糊逻辑控制器(FLC)。在保证制动安全性和稳定性的前提下,该策略在制动过程中合理地分配了再生制动力和摩擦制动力,以尽可能利用电动机的再生制动特性,从而将更多的动能转化为电能并进行存储。在电池中。在Matlab / Simulink环境下建立了基于模糊逻辑控制的模型,并将其嵌入仿真软件ADVISOR中。进行了不同行驶周期的仿真实验,并通过充电状态(SOC)和制动能量回收来测试模糊逻辑控制策略的可行性和有效性。

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