Abstract
The rapid growth of the electric vehicle (EV) sector is giving rise to many infrastructural challenges. One such challenge is its requirement for the widespread development of EV charging stations which must be able to provide large amounts of power in an on-demand basis. This can cause large stresses on the electrical and electronic components of the charging infrastructure—negatively affecting its reliability as well as leading to increased maintenance and operation costs. This paper proposes a human-interpretable data-driven method for anomaly detection in EV charging stations, aiming to provide information for the condition monitoring and predictive maintenance of power converters within such a station. To this end, a model of a high-efficiency EV charging station is used to simulate the thermal behaviour of EV charger power converter modules, creating a data set for the training of neural network models. These machine learning models are then employed for the identification of anomalous performance.
Original language | English |
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Title of host publication | Proceedings of 2022 IEEE Transportation Electrification Conference & Expo (ITEC) |
Number of pages | 6 |
Publisher | IEEE |
Publication date | 2022 |
Pages | 1005-1010 |
ISBN (Print) | 978-1-6654-0561-4 |
ISBN (Electronic) | 978-1-6654-0560-7 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE Transportation Electrification Conference and Expo - Westin Anaheim Resort, Anaheim, United States Duration: 15 Jun 2022 → 17 Jun 2022 https://itec-conf.com/ |
Conference
Conference | 2022 IEEE Transportation Electrification Conference and Expo |
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Location | Westin Anaheim Resort |
Country/Territory | United States |
City | Anaheim |
Period | 15/06/2022 → 17/06/2022 |
Internet address |
Series | 2022 Ieee Transportation Electrification Conference and Expo (itec) |
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ISSN | 2377-5483 |
Keywords
- Electric vehicle (EV)
- Electric vehicle charging station (EVCS)
- Anomaly detection
- Outlier identification
- Condition monitoring
- Machine learning
- Neural network
- Time series analysis