Application of fuzzy control for smart charging of electric vehicles

T. Ku, B. Ke, Y. Ke, Chenglin Wen
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引用次数: 1

Abstract

This paper proposed smart charging management for electric vehicles (EVs). According to the battery state-of-charge (SOC), charging period and transformer loading, a smart charging method was designed by using fuzzy theory to control charging station when quickly or slowly charging mode is needed. To verify performance of proposed method, the commercial customers were selected on distribution transformer and considering transformer loading to set charging mode on each charging station to prevent transformer over loading when all of EVs are in charging. Finally, the proposed method can ensure all of EVs are full charge and enhance power quality and efficiency of distribution transformers.
模糊控制在电动汽车智能充电中的应用
提出了一种针对电动汽车的智能充电管理方法。根据电池荷电状态(SOC)、充电周期和变压器负载,采用模糊理论对充电桩进行快速或慢速充电控制,设计了一种智能充电方法。为了验证所提方法的性能,在配电变压器上选择商业客户,考虑变压器负载,在每个充电站设置充电模式,防止所有电动汽车都在充电时变压器过载。最后,该方法可以保证所有电动汽车都充满电,提高配电变压器的电能质量和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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