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Fuzzy Logic-Based Control Strategy for a Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles

机译:基于模糊的基于逻辑的电动汽车电池/超级电容器混合能量存储系统的控制策略

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In order to optimize the operation status of hybrid energy storage system in electric vehicles, a novel fuzzy logic control strategy is proposed. This strategy adopts Kalman filtering algorithm to estimates state of charge (SOC) and state of power (SOP), which can calculate the optimum power and alleviate the errors of SOC effectively. Besides, the framework of the strategy and the model of both battery and supercapacitor are introduced. The proposed control strategy will help to deal with energy storage system problem of relatively short lifespan and poor limited range in electric vehicles. So stability and efficiency of hybrid energy storage system (HESS) improve greatly.
机译:为了优化电动车中混合能量存储系统的操作状态,提出了一种新型模糊逻辑控制策略。该策略采用卡尔曼滤波算法来估计充电状态(SOC)和功率状态(SOP),其可以计算最佳功率并有效地减轻SOC的错误。此外,还引入了策略的框架和电池和超级电容器的模型。拟议的控制策略将有助于处理相对较短的寿命和电动车辆范围差的能量存储系统问题。因此,混合能量存储系统(HESS)的稳定性和效率大大提高。

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