基于大数据的电动汽车行驶阶段碳减排影响因素分析

doi:10.19562/j.chinasae.qcgc.2022.10.013

Abstract

Abstract:

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.

Key words: electric vehicles, carbon emission, driving stage, emission reduction

Weipeng Zhan,Zhenpo Wang,Junjun Deng,Peng Liu,Dingsong Cui,Haitao Li. Analysis of Influencing Factors of Carbon Emission Reduction in the Driving Stage of Electric Vehicles Based on Big Data[J].Automotive Engineering, 2022, 44(10): 1581-1590.

Figures/Tables 18

发电方式	碳排放因子/（g $C O 2, e q$ ·MJ^-1）
水电	5
核电	6.506
风电	5
光伏发电	5
生物质发电	5.846

References 14

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

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