摘要
文章研究了基于深度学习的新能源汽车充电桩充电状态监测技术。通过构建深度学习模型,全面监测新能源汽车充电过程中的电压、电流、温度等物理量数据,研究分析了新能源汽车充电系统,提出了状态监控及安全监控方法,并设计了基于深度学习的综合模型框架。试验结果表明,该模型可实现对充电状态的实时、精准监测,并预警潜在故障,在充电状态监测与安全预警方面表现出色,为新能源汽车的安全充电提供了有力保障。
This article studies the monitoring technology of charging status of new energy vehicle charging piles based on deep learning.By constructing a deep learning model,it comprehensively monitors the physical quantity data such as voltage,current,temperature during the charging process of electric vehicles.The new energy vehicle charging system is studied and analyzed,and state monitoring and safety monitoring methods are proposed.A comprehensive model framework based on deep learning is designed.The experimental results show that the model achieves real-time and accurate monitoring of charging status,and warns potential faults.It performs well in charging status monitoring and safety warning,providing strong guarantees for the safe charging of new energy vehicles.
作者
刘侠
张维娟
王洋
玛喜毕力格
LIU Xia;ZHANG Weijuan;WANG Yang;MAXIBILIGE
出处
《电力系统装备》
2024年第12期42-44,共3页
Electric Power System Equipment
关键词
新能源汽车
充电桩
充电状态监测
深度学习
安全预警
new energy vehicles
charging station
charging status monitoring
deep learning
security warning
