Abstract

This paper studies the correlation between charging process performance indicators and charging safety of Solar-Energy storage-Charge station, analyses the influence of environmental factors, technical factors, design factors, management factors and user factors on charging process safety of energy stations. The projection pursuit algorithm is used to evaluate the influence degree of each parameter on the safety of charging process; through the establishment of charging safety evaluation system, the safety risks of battery damage and even fire caused by excessive charging current and high battery temperature are identified. The monitoring parameters corresponding to the charging safety state are determined. According to the different battery types adopted by different vehicle models, the corresponding charging mode is determined. According to the monitoring results of key data of the core equipment in the charging process, such as charging current, charging voltage, battery temperature, etc., the charging strategies of different vehicle models and different battery types are analysed, which provides reference for the safe operation of charging process.

Highlights

  • In the aspect of charging safety protection, the main body of the research focuses on the charging equipment itself and the power battery. Safety accidents such as spontaneous combustion and explosion of power battery caused by battery failure; safety accidents caused by battery overcharge caused by communication fault between battery management system and charger; safety accidents caused by abnormal conditions such as overcurrent, short circuit and leakage of charger or failure to effectively deal with these conditions

  • In order to improve the electrical safety of charging equipment and the protection ability of charging battery, it is necessary to put forward a quantitative safety evaluation method of charging process, which aims to contribute to the electrical safety of electric vehicle charging equipment and guarantee the charging effect [1,2,3]

  • [6] Different from the above, in this paper, the projection pursuit method [78] is applied to establish the relationship between the operating parameters of the main equipment in the Solar-Energy storage-Charge station [9-10] and the charging safety, and a projection pursuit classification model based on real coded accelerating genetic algorithm is established to evaluate and classify the charging process safety

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Summary

Introduction

In the aspect of charging safety protection, the main body of the research focuses on the charging equipment itself and the power battery. Safety accidents such as spontaneous combustion and explosion of power battery caused by battery failure; safety accidents caused by battery overcharge caused by communication fault between battery management system and charger; safety accidents caused by abnormal conditions such as overcurrent, short circuit and leakage of charger or failure to effectively deal with these conditions. [6] Different from the above, in this paper, the projection pursuit method [78] is applied to establish the relationship between the operating parameters of the main equipment in the Solar-. Energy storage-Charge station [9-10] (referred to as the “energy station” in the following ) and the charging safety, and a projection pursuit classification model based on real coded accelerating genetic algorithm is established to evaluate and classify the charging process safety

System architecture
Algorithm selection
Mathematical model
Conclusion
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