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作 者:高辉 彭成薇[1] 李炜卓 李奕杰 陈良亮[3] GAO Hui;PENG Chengwei;LI Weizhuo;LI Yijie;CHEN Liangliang(College of Automation&College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;School of Modern Posts,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;NARI Technology Co.,Ltd.,Nanjing 211106,China)
机构地区:[1]南京邮电大学自动化学院、人工智能学院,江苏省南京市210023 [2]南京邮电大学现代邮政学院,江苏省南京市210023 [3]国电南瑞科技股份有限公司,江苏省南京市211106
出 处:《电力系统自动化》2024年第7期47-61,共15页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(52077107)。
摘 要:随着全球新能源技术的大力发展,电动汽车及其配套充电设施日益普及化。电动汽车自燃事故与充电安全问题也备受关注。文中从充电安全因素的视角出发,深入地梳理总结了近年来电动汽车与充电设备安全预警研究方法。首先,对充电安全影响因素进行了详细的分类,并对现有的充电安全预警方法成熟度进行了总结与探讨。然后,归纳了预警模型精度与预警误差等评估指标。接着,基于真实的充电订单数据与工单数据对现有模型进行了整体评估与对比分析。最后,对电动汽车与充电设备充电安全预警的后续研究工作进行了展望。With the vigorous development of renewable energy technology in the world,electric vehicles(EVs)and their supporting charging facilities are becoming increasingly popular.The spontaneous fire accidents of EVs and charging safety issues have also attracted much attention.From the perspective of charging safety factors,this paper thoroughly summarizes the research methods of charging safety early warning for EVs and charging equipment in recent years.Firstly,the influencing factors of charging safety are classified in detail,and the maturity of the existing charging safety early warning methods are summarized and discussed.Then,the evaluation indexes such as early warning model accuracy and early warning error are summarized.Next,the existing models are evaluated and compared based on real charging order data and work order data.Finally,the future research work of charging safety early warning for EVs and charging equipment is prospected.
分 类 号:TM910.6[电气工程—电力电子与电力传动] U491.8[交通运输工程—交通运输规划与管理]
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