[1] 童瑞咏, 毛保华, 魏润斌, 等. 碳达峰目标下的汽车电动化碳减排效果研究 [J]. 公路交通科技, 2023, 40(2): 238-245. DOI:  10.3969/j.issn.1002-0268.2023.02.029.

TONG R Y, MAO B H, WEI R B, et al. Study on carbon emission reduction effect of automotive electrification under goal of carbon peaking [J]. Journal of highway and transportation research and development, 2023, 40(2): 238-245. DOI:  10.3969/j.issn.1002-0268.2023.02.029.
[2] 赵子贤, 邵超峰, 陈珏. 中国省域私人电动汽车全生命周期碳减排效果评估 [J]. 环境科学研究, 2021, 34(9): 2076-2085. DOI:  10.13198/j.issn.1001-6929.2021.05.09.

ZHAO Z X, SHAO C F, CHEN J. Effects of private electric vehicles on carbon emission reduction in China during whole life cycle [J]. Research of environmental sciences, 2021, 34(9): 2076-2085. DOI:  10.13198/j.issn.1001-6929.2021.05.09.
[3] 新华社. 我国新能源汽车保有量达1 310万辆 呈高速增长态势 [EB/OL]. (2023-01-11) [2023-08-02]. https://www.gov.cn/xinwen/2023-01/11/content_5736281.htm.

Xinhua News Agency. The number of new energy vehicles in China reached 13.1 million, showing a rapid growth trend [EB/OL]. (2023-01-11) [2023-08-02]. https://www.gov.cn/xinwen/2023-01/11/content_5736281.htm.
[4] 北极星储能网. 中汽协: 2022年新能源汽车销量688.7万辆同比增长93.4% [EB/OL]. (2023-01-13) [2023-08-02]. https://news.bjx.com.cn/html/20230113/1282863.shtml.

Polaris Energy Storage Network. China Automobile Association: in 2022 new energy vehicles sales in 6.887 million year-on-year growth of 93.4% [EB/OL]. (2023-01-13) [2023-08-02]. https://news.bjx.com.cn/html/20230113/1282863.shtml.
[5] 高赐威, 张亮. 电动汽车充电对电网影响的综述 [J]. 电网技术, 2011, 35(2): 127-131. DOI:  10.13335/j.1000-3673.pst.2011.02.020.

GAO C W, ZHANG L. A survey of influence of electrics vehicle charging on power grid [J]. Power system technology, 2011, 35(2): 127-131. DOI:  10.13335/j.1000-3673.pst.2011.02.020.
[6] 胡思洋, 杨健维, 廖凯, 等. 计及大规模电动汽车接入的配电网故障分析方法 [J]. 电力系统保护与控制, 2022, 50(16): 33-46. DOI:  10.19783/j.cnki.pspc.211501.

HU S Y, YANG J W, LIAO K, et al. Fault analysis method for an urban distribution network considering large-scale electric vehicle access [J]. Power system protection and control, 2022, 50(16): 33-46. DOI:  10.19783/j.cnki.pspc.211501.
[7] 贾俊, 范炜豪, 吕志鹏, 等. 用于电动汽车集群并网的直流变压器启动研究 [J]. 发电技术, 2023, 44(6): 875-882. DOI:  10.12096/j.2096-4528.pgt.22099.

JIA J, FAN W H, LÜ Z P, et al. Research on startup of DC transformer for electric vehicle cluster grid-connection [J]. Power generation technology, 2023, 44(6): 875-882. DOI:  10.12096/j.2096-4528.pgt.22099.
[8] 陈雷, 卢斯煜. 电动汽车充电对住宅小区配电网的影响研究 [J]. 南方能源建设, 2018, 5(1): 51-58. DOI:  10.16516/j.gedi.issn2095-8676.2018.01.008.

CHEN L, LU S Y. Research on the influence of electric vehicle charging on distribution network of residential district [J]. Southern energy construction, 2018, 5(1): 51-58. DOI:  10.16516/j.gedi.issn2095-8676.2018.01.008.
[9] LUO Z W, HU Z C, SONG Y H, et al. Optimal coordination of plug-in electric vehicles in power grids with cost-benefit analysis—part II: a case study in China [J]. IEEE transactions on power systems, 2013, 28(4): 3556-3565. DOI:  10.1109/TPWRS.2013.2252028.
[10] LUO Z W, HU Z C, SONG Y H, et al. Optimal coordination of plug-in electric vehicles in power grids with cost-benefit analysis—Part I: enabling techniques [J]. IEEE transactions on power systems, 2013, 28(4): 3546-3555. DOI:  10.1109/TPWRS.2013.2262318.
[11] 蒋林洳, 万伟江, 丁霄寅, 等. 一种基于直接蒙特卡洛法的电动汽车充电负荷模型 [J]. 供用电, 2018, 35(4): 20-25, 13. DOI:  10.19421/j.cnki.1006-6357.2018.04.004.

JIANG L R, WAN W J, DING X Y, et al. Electric vehicle charging load model based on direct Monte-Carlo method [J]. Distribution & utilization, 2018, 35(4): 20-25, 13. DOI:  10.19421/j.cnki.1006-6357.2018.04.004.
[12] 锁军, 李龙, 贺瀚青, 等. 考虑交通路况的电动汽车充电负荷预测 [J]. 电网与清洁能源, 2022, 38(10): 141-147. DOI:  10.3969/j.issn.1674-3814.2022.10.017.

SUO J, LI L, HE H Q, et al. Load forecasting of electric vehicle charging considering traffic conditions [J]. Power system and clean energy, 2022, 38(10): 141-147. DOI:  10.3969/j.issn.1674-3814.2022.10.017.
[13] SZINAI J K, SHEPPARD C J R, ABHYANKAR N, et al. Reduced grid operating costs and renewable energy curtailment with electric vehicle charge management [J]. Energy policy, 2020, 136: 111051. DOI:  10.1016/j.enpol.2019.111051.
[14] 张美霞, 张倩倩, 杨秀, 等. 基于交通-电力均衡耦合的电动汽车快充站与配电网联合规划 [J]. 电力系统保护与控制, 2023, 51(11): 51-63. DOI:  10.19783/j.cnki.pspc.236015.

ZHANG M X, ZHANG Q Q, YANG X, et al. Joint planning of electric vehicle fast charging stations and distribution network based on atraffic-electricity equilibrium coupling model [J]. Power system protection and control, 2023, 51(11): 51-63. DOI:  10.19783/j.cnki.pspc.236015.
[15] 李阳, 吴伟杰, 林勇, 等. 考虑电动汽车行驶特性的工业园区电动汽车充电设施规划 [J]. 南方能源建设, 2018, 5(增刊1): 7-14. DOI:  10.16516/j.gedi.issn2095-8676.2018.S1.002.

LI Y, WU W J, LIN Y, et al. Electric vehicle charging facilities planning in industrial parks considering the driving characteristics of electric vehicles [J]. Southern energy construction, 2018, 5(Suppl.1): 7-14. DOI:  10.16516/j.gedi.issn2095-8676.2018.S1.002.
[16] 石天琛, 杨烨, 刘明光, 等. 基于有限信息的电动汽车用户充电行为特征识别 [J]. 电力建设, 2024, 45(10): 69-77. DOI:  10.12204/j.issn.1000-7229.2024.10.007.

SHI T C, YANG Y, LIU M G, et al. Identification of charging behavior characteristics of electric vehicle users based on limited information [J]. Electric power construction, 2024, 45(10): 69-77. DOI:  10.12204/j.issn.1000-7229.2024.10.007.
[17] ZHENG Y C, SHAO Z Y, ZHANG Y M, et al. A systematic methodology for mid-and-long term electric vehicle charging load forecasting: the case study of Shenzhen, China [J]. Sustainable cities & society, 2020, 56(1): 102084. DOI:  10.1016/j.scs.2020.102084.
[18] 王震坡, 梁兆文. 中国新能源汽车大数据研究报告-2022(3版) [M]. 北京: 机械工业出版社, 2022.

WANG Z P, LIANG Z W. Annual report on the big data of new energy vehicle in China (2022) (3rd ed. ) [M]. Beijing: China Machine Press, 2022.
[19] SU J, LIE T T, ZAMORA R. Modelling of large-scale electric vehicles charging demand: a New Zealand case study [J]. Electric power systems research, 2019, 167: 171-182. DOI:  10.1016/j.jpgr.2018.10.030.
[20] 王中阳, 王威, 戴建卓, 等. 基于弹性系数法和千人保有量法的陕西省电动汽车保有量的预测 [J]. 电网与清洁能源, 2016, 32(5): 142-147. DOI:  10.3969/j.issn.1674-3814.2016.05.026.

WANG Z Y, WANG W, DAI J Z, et al. Forecasting of electric vehicle quantity based on the elastic coefficient and Shaanxi vehicles ownership per thousand people method [J]. Power system and clean energy, 2016, 32(5): 142-147. DOI:  10.3969/j.issn.1674-3814.2016.05.026.
[21] 令文君, 雷兵, 李于达. 南方五省区电动汽车市场分析与市场规模预测 [J]. 中国能源, 2020, 42(7): 42-47. DOI:  10.3969/j.issn.1003-2355.2020.07.008.

LING W J, LEI B, LI Y D. Study of the present situation analysis and the market scale forecast in the electric vehicle market of the five provinces(regions) in southern China [J]. Energy of China, 2020, 42(7): 42-47. DOI:  10.3969/j.issn.1003-2355.2020.07.008.
[22] 电车资源行业研究院. 2023年新能源物流车市场分析半年报 [EB/OL]. (2023-07-22) [2023-08-03]. https://www.evpartner.com/news/215/detail-67880.html.

Trams Resources Industry Research Institute. In 2023, new energy vehicle logistics market analysis half annals [EB/OL]. (2023-07-22) [2023-08-03]. https://www.evpartner.com/news/215/detail-67880.html.