Image recognition based method for identifying new energy vehicles in microgrid parks

Xueying Song; Yan Jiang; Zhiqiang Sheng; Peipei Tian; Zibing Meng; Jiannan Zhou; Dandan Song; Yining Wei

doi:10.1117/12.3034368

16 October 2024 Image recognition based method for identifying new energy vehicles in microgrid parks

Xueying Song, Yan Jiang, Zhiqiang Sheng, Peipei Tian, Zibing Meng, Jiannan Zhou, Dandan Song, Yining Wei

Proceedings Volume 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024); 132912E (2024) https://doi.org/10.1117/12.3034368
Event: Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 2024, Changchun, China

Abstract

With the proposal of the "dual carbon" strategy, the development of China's new energy vehicle industry has ushered in new opportunities. This article focuses on the charging business scenarios in microgrid parks, relying on digital technologies such as artificial intelligence and big data, and deeply explores the value of data. By constructing a two-stage model of YOLOv5+LPRNnet, electric vehicle recognition is achieved, improving recognition accuracy while ensuring recognition speed, and achieving automated and standardized management of vehicle entry and exit charging stations, Effectively solving the problem of occupying space for gasoline vehicles, empowering business development with data, and significantly improving operational service efficiency.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xueying Song, Yan Jiang, Zhiqiang Sheng, Peipei Tian, Zibing Meng, Jiannan Zhou, Dandan Song, and Yining Wei "Image recognition based method for identifying new energy vehicles in microgrid parks", Proc. SPIE 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 132912E (16 October 2024); https://doi.org/10.1117/12.3034368

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