Research on new energy vehicle charging safety monitoring platform based on DTW time clustering algorithm

With the widely use of new energy vehicles, charging safety has increasingly become a topic of public concern. Based on the analysis of the factors which affect charging safety, this paper proposes to build a charging safety monitoring platform to realize real-time charging monitoring and improve the charging safety of new energy vehicles. Based on DTW time clustering monitoring model and temperature management model, the platform monitors the abnormal conditions of temperature, electric quantity and voltage, and realizes the monitoring and early warning of abnormal conditions such as no power charging, temperature mutation, current abnormality, instantaneous overvoltage / overcurrent.