Developing a smart charger for EVs' charging impact mitigation

Shu-Hung Liao, J. Teng, Chao-Kai Wen
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引用次数: 7

Abstract

This paper proposes a smart charger to mitigate the charging impact of Electric Vehicles (EVs) on power grids. The proposed smart charger uses the parameters measured from the power grid, the EV charger and the EV battery pack to adjust the charging current of the proposed charger. Fuzzy control is used in this paper to integrate these measured parameters into designing a smart charger prototype with rated power 200W. Experimental results verify that the proposed charger can automatically adjust the charging current corresponding to the variations of power grid and EV. Test case analyzes the impact of 100 EVs with rated power 7kW charging simultaneously in a community. Test result shows that the charging impact of EV can be effectively mitigated by the proposed smart chargers. Since the proposed smart charger can be realized without the centralized control systems and information exchanges between EV chargers, an entirely distributed control scheme for EV charger can therefore be effectively implemented.
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为减轻电动汽车充电冲击而开发的智能充电器
为了减轻电动汽车对电网的充电影响,提出了一种智能充电器。该智能充电器利用电网、电动汽车充电器和电动汽车电池组测量的参数来调节充电器的充电电流。本文采用模糊控制方法,将这些测量参数整合到额定功率200W的智能充电器样机设计中。实验结果表明,该充电器能够根据电网和电动汽车的变化自动调节充电电流。测试案例分析了100辆额定功率为7kW的电动汽车在社区内同时充电的影响。试验结果表明,所设计的智能充电器能够有效缓解电动汽车充电时的冲击。由于所提出的智能充电器可以在没有集中控制系统和电动汽车充电器之间信息交换的情况下实现,因此可以有效地实现电动汽车充电器的全分布式控制方案。
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