Comprehensive Evaluation of Electric Vehicle Charger Performance

In order to improve the safety of electric vehicle charging pile operation, a charging pile performance evaluation method is proposed by analyzing the current situation of charging pile performance evaluation for the problem that charging pile performance faults are difficult to identify. Firstly, the EV charger performance evaluation index system is established by analyzing the technical standards of EV non-vehicle chargers and combining them with the actual situation. Secondly, objective weights based on random forest and subjective weights based on gray correlation analysis are introduced to improve the rationality of the combination weights. Then, the affiliation function of the normal cloud model, which conforms to the state distribution of charger performance, is established and combined with the combined weights to realize the performance evaluation of EV chargers. Finally, the operational data of one charger is taken as an example for performance evaluation and analysis, and the results show that the proposed evaluation method can discover the weak links of the charger in time, which verifies the feasibility and practicability of the method.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905986
Citations
5
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.61
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article

Comprehensive Evaluation of Electric Vehicle Charger Performance

Wei Zhang, Liming Xue, Gonghao Zhao
5 citations
Electric and Hybrid Vehicle Technologies
0.61
article

Comprehensive Evaluation of Electric Vehicle Charger Performance

Wei Zhang, Liming Xue, Gonghao Zhao
article en
5 citations

Abstract

In order to improve the safety of electric vehicle charging pile operation, a charging pile performance evaluation method is proposed by analyzing the current situation of charging pile performance evaluation for the problem that charging pile performance faults are difficult to identify. Firstly, the EV charger performance evaluation index system is established by analyzing the technical standards of EV non-vehicle chargers and combining them with the actual situation. Secondly, objective weights based on random forest and subjective weights based on gray correlation analysis are introduced to improve the rationality of the combination weights. Then, the affiliation function of the normal cloud model, which conforms to the state distribution of charger performance, is established and combined with the combined weights to realize the performance evaluation of EV chargers. Finally, the operational data of one charger is taken as an example for performance evaluation and analysis, and the results show that the proposed evaluation method can discover the weak links of the charger in time, which verifies the feasibility and practicability of the method.

Northeast Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 31%
Electric and Hybrid Vehicle Technologies
0.61
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