Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)

Research on evaluation system and method of EVs’ development trend

Authors
Zesen Li1, Xiaoyun Yuan1, *, Bingjie Li1, Jing Shi1
1State Grid Jiangsu Electric Power Company Economic and Technical Research Institute, Nanjing, Jiangsu, 215100, China
*Corresponding author. Email: jiejunc@qq.com
Corresponding Author
Xiaoyun Yuan
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-490-7_2How to use a DOI?
Keywords
EVs; low-carbon characteristics; development trend evaluation system; evaluation method
Abstract

Electric vehicles (EVs) are an significant instrument for clean substitution in China’s transportation due to their low-carbon emission characteristics. Analyzing EVs’ development trend requires developing an evaluation system. This paper proposes an evaluation index system that takes into account the perspective of policy supported, technological development, market scale, supporting construction, and business ecology. Then, according to the Analytic Hierarchy Process (AHP), evaluation methods are provided. Finally, taking Jiangsu Province as an example, the EVs’ development trend in Jiangsu Province is evaluated.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 August 2024
ISBN
978-94-6463-490-7
ISSN
2589-4919
DOI
10.2991/978-94-6463-490-7_2How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Zesen Li
AU  - Xiaoyun Yuan
AU  - Bingjie Li
AU  - Jing Shi
PY  - 2024
DA  - 2024/08/31
TI  - Research on evaluation system and method of EVs’ development trend
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 4
EP  - 10
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_2
DO  - 10.2991/978-94-6463-490-7_2
ID  - Li2024
ER  -