一种电动汽车充电安全预警模型设计方法
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引用本文:钱立军,赵明宇,张卫国.一种电动汽车充电安全预警模型设计方法[J].电网与清洁能源,2016,32(12):114~119
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作者单位
钱立军 国网江苏省电力公司 江苏 南京 210024 
赵明宇 南瑞集团公司(国网电力科学研究院) 江苏 南京 211106 国电南瑞科技股份有限公司 江苏 南京 211106 
张卫国 南瑞集团公司(国网电力科学研究院) 江苏 南京 211106 国电南瑞科技股份有限公司 江苏 南京 211106 
基金项目:基金项目:国家重点研发计划新能源汽车重点专项(2016YF B0101800)。
中文摘要:摘要: 针对电动汽车充电安全事故,为了提高电动汽车充电安全预警能力,通过分析电动汽车充电安全影响因素,研究安全预警指标选取途径和方法,制定安全预警评价指标体系,研究安全指标权重评价方法。利用遗传小波神经网络训练原理及多尺度多分辨特点,通过划分5个安全预警等级,设计了一种电动汽车充电安全预警模型。通过对某充电站安全数据安全预警仿真分析,验证了该安全预警模型的可行性和正确性。
中文关键词:关键词: 电动汽车  安全充电预警  指标评价体系  遗传小波
 
A Method to Design the Security Early Warning Model of EV Charging
Abstract:ABSTRACT: Since the charging accident of electric vehicles is one of the major concern of the industry, to improve the ability of charging security warning of electric vehicle battery and reduce the accidents, factors that influence the safety of electric vehicle charging are analyzed, and approaches and methods to select the safety early warning index are proposed, which helps to establish the security early warning evaluation index system as suggested in the paper. In addition, a model of electric vehicle charging security early warning, which classi-fies five levels security early warning, is designed drawing upon genetic wavelet neural network training principles and based on multi-scale multi-resolution characteristics. A simulation anal-ysis on early warning system based on a charging station safety data verifies the accuracy and feasibility of the proposed early warning model of electric vehicle charging.
keywords:KEY WORDS:electric vehicle  charging security warning  index evaluation system  genetic wavelet
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