Enhancing automatic electric vehicle charging: a deep learning approach with YOLO and feature extraction techniques
This research addresses the challenge of automating electric vehicle (EV) charging in Thailand, where five distinct EV charging plug types are prevalent. We propose a deep learning approach using YOLO (You Only Look Once) to accurately identify these plug types, enabling robots to perform charging t...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Computer Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2025.1505446/full |
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| author | Phasuwut Chunnapiya Porawat Visutsak |
| author_facet | Phasuwut Chunnapiya Porawat Visutsak |
| author_sort | Phasuwut Chunnapiya |
| collection | DOAJ |
| description | This research addresses the challenge of automating electric vehicle (EV) charging in Thailand, where five distinct EV charging plug types are prevalent. We propose a deep learning approach using YOLO (You Only Look Once) to accurately identify these plug types, enabling robots to perform charging tasks efficiently. The study evaluates four YOLO versions (V5s, V6s, V7, and V8s) to determine the optimal model for this application. Our results demonstrate that YOLO V8s achieves the highest accuracy with a Mean Average Precision (mAP) of 0.95, while YOLO V7 exhibits superior performance in certain real-world scenarios. This research contributes to the development of automated EV charging systems by providing a robust and accurate model for detecting all five types of EV charging plugs used in Thailand. The model’s ability to accurately detect and classify EV charging plugs paves the way for the design of automated charging robots, addressing a key challenge in EV charging infrastructure and promoting the wider adoption of electric vehicles. |
| format | Article |
| id | doaj-art-a6e28c8a11294317af67c32634e8fabc |
| institution | DOAJ |
| issn | 2624-9898 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computer Science |
| spelling | doaj-art-a6e28c8a11294317af67c32634e8fabc2025-08-20T02:52:55ZengFrontiers Media S.A.Frontiers in Computer Science2624-98982025-03-01710.3389/fcomp.2025.15054461505446Enhancing automatic electric vehicle charging: a deep learning approach with YOLO and feature extraction techniquesPhasuwut ChunnapiyaPorawat VisutsakThis research addresses the challenge of automating electric vehicle (EV) charging in Thailand, where five distinct EV charging plug types are prevalent. We propose a deep learning approach using YOLO (You Only Look Once) to accurately identify these plug types, enabling robots to perform charging tasks efficiently. The study evaluates four YOLO versions (V5s, V6s, V7, and V8s) to determine the optimal model for this application. Our results demonstrate that YOLO V8s achieves the highest accuracy with a Mean Average Precision (mAP) of 0.95, while YOLO V7 exhibits superior performance in certain real-world scenarios. This research contributes to the development of automated EV charging systems by providing a robust and accurate model for detecting all five types of EV charging plugs used in Thailand. The model’s ability to accurately detect and classify EV charging plugs paves the way for the design of automated charging robots, addressing a key challenge in EV charging infrastructure and promoting the wider adoption of electric vehicles.https://www.frontiersin.org/articles/10.3389/fcomp.2025.1505446/fullelectric vehicleobject detectionYOLOcharging plugEV station |
| spellingShingle | Phasuwut Chunnapiya Porawat Visutsak Enhancing automatic electric vehicle charging: a deep learning approach with YOLO and feature extraction techniques Frontiers in Computer Science electric vehicle object detection YOLO charging plug EV station |
| title | Enhancing automatic electric vehicle charging: a deep learning approach with YOLO and feature extraction techniques |
| title_full | Enhancing automatic electric vehicle charging: a deep learning approach with YOLO and feature extraction techniques |
| title_fullStr | Enhancing automatic electric vehicle charging: a deep learning approach with YOLO and feature extraction techniques |
| title_full_unstemmed | Enhancing automatic electric vehicle charging: a deep learning approach with YOLO and feature extraction techniques |
| title_short | Enhancing automatic electric vehicle charging: a deep learning approach with YOLO and feature extraction techniques |
| title_sort | enhancing automatic electric vehicle charging a deep learning approach with yolo and feature extraction techniques |
| topic | electric vehicle object detection YOLO charging plug EV station |
| url | https://www.frontiersin.org/articles/10.3389/fcomp.2025.1505446/full |
| work_keys_str_mv | AT phasuwutchunnapiya enhancingautomaticelectricvehiclechargingadeeplearningapproachwithyoloandfeatureextractiontechniques AT porawatvisutsak enhancingautomaticelectricvehiclechargingadeeplearningapproachwithyoloandfeatureextractiontechniques |