电动汽车充电状态监测与多级安全预报警方法

doi:10.19595/j.cnki.1000-6753.tces.211846

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摘要电动汽车在充电过程中烧车事故频发,成为了制约电动汽车发展的关键问题。该文针对充电安全问题,提出一种新的电动汽车充电状态监测与多级安全预报警的方法。该方法基于卷积神经网络（CNN）和双向长短记忆（BiLSTM）,利用电动汽车的充电历史数据,构建CNN-BiLSTM多级安全预报警模型;设计模型的充电状态监测和多级安全预报警实现流程;通过与其他模型相比较,验证了该模型的预测精度;通过滑动窗口法,确定了模型的预报警阈值。试验结果表明,该方法可以对电动汽车充电过程进行实时监测,及时发现故障并发出预报警信号,保障电动汽车充电安全。

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关键词 ：电动汽车, 充电过程, 卷积神经网络, 双向长短记忆, 多级安全预报警

Abstract：The frequent occurrence of electric vehicle burning accidents during the charging process has become a key issue restricting the development of electric vehicles. Aiming at the problem of charging safety, this paper proposes a new method of electric vehicle charging status monitoring and multi-level safe pre-warning. The method is based on convolutional neural networks (CNN) and bi-directional long-short memory (BiLSTM), uses the charging history data of electric vehicles to construct a CNN-BiLSTM multi-level safety pre-warning model; designed the charging status monitoring and multi-level safe pre-warning implementation process of the model; compared with other models, verified the prediction accuracy of the model; through the sliding window method, the pre-warning threshold of the model is determined. Experiments have shown that this method can monitor the charging process of electric vehicles in real time, find faults in time and send out pre-warning signals to ensure the safety of electric vehicle charging.

Key words： Electric vehicle charging process convolutional neural networks bi-directional long-short term memory multi-level safety pre-warning

收稿日期: 2021-11-13

PACS:

TP277

基金资助:国家自然科学基金（61673357）、山东省自然科学基金（ZR2018LF008）、山东省重点研发计划（公益类）（2019GGX101012）、山东省高等学校科学技术计划（J18KA323）和山东省研究生导师指导能力提升项目（SDYY18092）资助

通讯作者: 杨清女,1981年生,博士,研究生导师,研究方向为电动汽车充电控制与图像识别。E-mail：qdyangqing66@126.com

作者简介: 高德欣男,1978年生,教授,研究生导师,研究方向为电动汽车充电预警与故障诊断。E-mail：qdgaodexin@126.com

引用本文:

高德欣, 郑晓雨, 王义, 杨清. 电动汽车充电状态监测与多级安全预报警方法[J]. 电工技术学报, 2022, 37(9): 2252-2262. Gao Dexin, Zheng Xiaoyu, Wang Yi, Yang Qing. A State Monitoring and Multi-Level Safety Pre-Warning Method for Electric Vehicle Charging Process. Transactions of China Electrotechnical Society, 2022, 37(9): 2252-2262.

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