Analysis of Influencing Factors of Carbon Emission Reduction in the Driving Stage of Electric Vehicles Based on Big Data

被引：0
|
作者：
Zhan W. [1 ]
Wang Z. [1 ]
Deng J. [1 ]
Liu P. [1 ]
Cui D. [1 ]
Li H. [2 ]
机构：
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
[2] Beijing Yiwei New Energy Vehicle Big Data Application Technology Research Center, Beijing
来源：
Qiche Gongcheng/Automotive Engineering | 2022年 / 44卷 / 10期
关键词：
carbon emission; driving stage; electric vehicles; emission reduction;
D O I：
10.19562/j.chinasae.qcgc.2022.10.013
中图分类号：
学科分类号：
摘要：
Based on a large number of real vehicle data in China, this paper analyzes the impact of energy structure changes, battery capacity degradation, operating conditions, temperature, purpose, battery charging efficiency, vehicle transmission efficiency and other factors on carbon emission reduction of electric vehicles (EVs), and establishes a carbon emission model of EV driving stage. According to the national and provincial dimensions, this paper analyzes the reasons for the regional differences in carbon emission reduction of EVs, and studies the emission reduction benefits of different types of EVs. Sensitivity analysis is carried out on the influence of electricity carbon emission factor, climate and temperature on carbon emission reduction of EVs. Finally, based on the analysis results, suggestions are put forward for the low-carbon development path in the field of road transportation. © 2022 SAE-China. All rights reserved.
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页码：1581 / 1590
页数：9
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