Review of Carbon Emission Reduction Potential Analysis on New Energy Vehicles

被引:0
作者
Wang Z. [1 ]
Zhan W. [1 ]
Sun F. [1 ]
Deng J. [1 ]
Cui D. [1 ]
Li X. [1 ]
机构
[1] National Engineering Research Center for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing
来源
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2024年 / 44卷 / 02期
关键词
carbon emission; emission reduction potential; new energy vehicles;
D O I
10.15918/j.tbit1001-0645.2023.128
中图分类号
学科分类号
摘要
Driven by the dual-carbon goal of "carbon peak and carbon neutrality", new energy vehicles have attracted widespread attention due to their advantages in carbon emission reduction. Aiming at promoting the relevant research on the assessment of carbon emission reduction potential of new energy vehicles, it was analyzed and summarized in three aspects that carbon emission measurement and analysis of new energy vehicles, collaborative optimization of low-carbon operation of vehicles and networks, and total vehicle carbon emission situation prediction, and it was also summarized that the latest research results in related fields and the advantages and disadvantages of various modeling methods. In this paper, it was focused on the relevant achievements of automobile energy-saving emission reduction accounting system and industrial carbon emission management system, putting forward the development trend and future research direction of carbon emission reduction potential analysis of new energy vehicles. © 2024 Beijing Institute of Technology. All rights reserved.
引用
收藏
页码:111 / 122
页数:11
相关论文
共 106 条
[1]  
LIU Z, SUN T, YU Y, Et al., Real-time carbon emission accounting technology toward carbon neutrality[J], Engineering, 14, pp. 44-51, (2022)
[2]  
FANG K, LI C, TANG Y, Et al., China’s pathways to peak carbon emissions: New insights from various industrial sectors, Applied Energy, 306, (2022)
[3]  
WEI Yifan, HAN Xuebing, LU Languang, Et al., Prospect of new energy vehicles and vehicle network interactive technology for carbon neutrality, Automotive Engineering, 44, 4, pp. 449-464, (2022)
[4]  
WANG Zhenpo, LI Xiaohui, SUN Fengchun, Development trends of new energy vehicle technology under industrial integration, Transactions of Beijing institute of Technology, 40, 1, pp. 1-10, (2020)
[5]  
HE Hongwen, MENG Xiangfei, A review on energy management technology of hybrid electric vehicles, Transactions of Beijing institute of Technology, 42, 8, pp. 773-783, (2022)
[6]  
NI Jun, JIANG Xu, XIONG Zhoubing, Et al., Overview of big data and cloud control technologies in the field of unmanned ground vehicles, Transactions of Beijing institute of Technology, 41, 1, pp. 1-8, (2021)
[7]  
FIORI C, ARCIDIACONO V, FONTARAS G, Et al., The effect of electrified mobility on the relationship between traffic conditions and energy consumption, Transportation Research Part D: Transport and Environment, 67, pp. 275-290, (2019)
[8]  
HE H, CAO J, CUI X., Energy optimization of electric vehicle’ s acceleration process based on reinforcement learning, Journal of Cleaner Production, 248, (2020)
[9]  
QIU C, WANG G., New evaluation methodology of regenerative braking contribution to energy efficiency improvement of electric vehicles, Energy Conversion and Management, 119, pp. 389-398, (2016)
[10]  
WAGER G, WHALE J, BRAUNL T., Driving electric vehicles at highway speeds: the effect of higher driving speeds on energy consumption and driving range for electric vehicles in Australia[J], Renewable and sustainable energy reviews, 63, pp. 158-165, (2016)