Research on Intelligent Charging Management of New Energy Vehicles Based on Big Data-Reference-Cited by-同舟云学术

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Research on Intelligent Charging Management of New Energy Vehicles Based on Big Data

Published:2023-04-14 Issue: Volume:2022 Page:148-152
ISSN:
Container-title:Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning
language:
Short-container-title:

Author:

Chen Zhi¹^ORCID,Xiong Shao Hua¹^ORCID,Zuo Cui¹^ORCID,Jiang Rui Bin¹^ORCID,Shu Xin¹^ORCID

Affiliation:

1. Vehicle engineering college, Hunan Biological and Electromechanical Polytechnic, China

Funder

Scientific Research Project of Hunan Provincial Department of Education

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616901.3616934

Reference15 articles.

1. Wang Yuxuan, Xia Liang. Spatial layout optimization of public charging facilities for new energy vehicles based on POI data: A case study of the central city of Nanjing [J]. Construction Science and Technology,2022, (Z1):93-97.

2. Qiu Chaoming, QU Dapeng, Liu Qiying, Research and Implementation of Electric Vehicle Intelligent Charging System Based on Componentized TCU [J]. Electrical Automation,2022,44(01):14-15+23.

3. Liu Weiyang, Wang Bing, Cao Zhijie. Design of electric vehicle sharing charging pile platform based on blockchain [J]. Computer Engineering and Design,2020,41(09):2690-2696.

4. Chowdhury Amor Klampfer Saša Sredenšek Klemen etc. Method for Planning Optimizing and Regulating EV Charging Infrastructure[J]. Energies 2022 15(13).

5. Automatic discovery and selection of most qualified electric vehicle charging station

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