| Issue |
MATEC Web Conf.
Volume 355, 2022
2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|
|
|---|---|---|
| Article Number | 02031 | |
| Number of page(s) | 11 | |
| Section | Mathematical Science and Application | |
| DOI | https://doi.org/10.1051/matecconf/202235502031 | |
| Published online | 12 January 2022 | |
Research on the cost effectiveness of carbon emission reduction in the full life cycle of electric vehicles based on grey prediction
1 College of Automotive Engineering, Jilin University, Changchun 130000, China
2 College of Computer Science and Technology, Jilin University, Changchun 130000, China
3 Shandong Weifang Haotai Machinery Co., Ltd., China
* Corresponding author: majiayi@jlu.edu.cn
In order to research the carbon emission reduction potential of electric vehicles, a cost effectiveness model is used to calculate and compare the economic costs and carbon emissions of fuel vehicles and electric vehicles throughout the life cycle, and an improved grey prediction model is utilized to analyze the future trends of electric vehicle emission reduction benefits. The results show that electric vehicles play a positive role in carbon emission reduction, and the unit cost of carbon emission reduction is decreasing by years. Therefore, China should vigorously develop the electric vehicle industry and technology, and achieve the strategic goal of carbon emission reduction by promoting the electrification of vehicles.
Key words: Electric vehicle / Carbon emission reduction / Cost effectiveness / Full life cycle / Grey prediction
© The Authors, published by EDP Sciences, 2022
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