| 基于路网的电动汽车快速充电站布局决策研究 |
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| 引用本文： | 何亚伟,董沛武,陈翔.基于路网的电动汽车快速充电站布局决策研究[J].运筹与管理,2020,29(5):125-134. |
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| 作者姓名： | 何亚伟 董沛武 陈翔 |
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| 作者单位： | 1.中国银联股份有限公司 业务部,上海 200135;2.北京理工大学 管理与经济学院,北京 100081 |
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| 基金项目： | 国家自然科学基金资助项目(71873015) |
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| 摘 要： | 大力发展和推广纯电动汽车已成为全世界众多国家的共同选择。但电动汽车有限的续航能力及公共快速充电设施的缺乏,制约着人们的使用和长途出行。本研究针对我国公共快速充电网络建设亟待完善的问题,基于我国主干高速公路网络,对服务途中充电需求的快速充电站科学分布问题建立分布决策模型。研究表明,对续航能力低于200公里的电动汽车,应用最优策略分布的快速充电站数量从50座增加到250座时,可将途中充电需求覆盖率从50%左右提高到90%以上,而对续航能力超过250公里的电动汽车,150座按最优策略分布的快速充电站即能覆盖至少96.49%的途中充电需求。通过对不同续航能力和不同充电站数量约束下共30种情形的分析,本研究不仅能为多情形下充电站分布问题提供最优选址和数量组合决策方案,也为我国充电基础设施的完善及电动汽车产业可持续发展提供有力的理论支持和政策建议。
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| 关 键 词： | 主干高速网络 电动汽车 快速充电站 布局决策 |
| 收稿时间： | 2018-12-18 |
Research on Layout Decision Making of Electric Vehicle Fast Charging Station Based on Road Network |
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| HE Ya-wei,DONG Pei-wu,CHEN Xiang.Research on Layout Decision Making of Electric Vehicle Fast Charging Station Based on Road Network[J].Operations Research and Management Science,2020,29(5):125-134. |
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| Authors: | HE Ya-wei DONG Pei-wu CHEN Xiang |
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| Affiliation: | 1. China UnionPay, Department ofBusiness, Shanghai 200135, China;2. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | Due to the requirement of transportation energy transformation and environmental pollution control, the development and promotion of Battery Electric Vehicles(BEV)has become the common choice of many countries around the world. However, the limited all-electric-range(AER)of BEV and the lack of public fast charging facilities restrict driver's use and long-distance travel. To solve the problem of improving the construction of public fast charging network in China, a distributed decision model is established in this research for the scientific distribution problem of fast charging stations serving the mid-way recharging demand, based on Chinese main highway network. The empirical studies show that for BEV with an AER less than 200 kilometers, the coverage of recharging demand can be increased from 50% to over 90% by adding the number of fast charging stations distributed with best strategy from 50 to 250. For BEV with an AER more than 250 kilometers, 150 fast charging stations distributed by the optimal strategy can satisfy at least 96.49% of the whole mid-way recharging demand. Throughanalyzing 30 cases under different constraints of AER and number of fast charging stations, this research can not only provide the optimal scheme of location and quantity combination for the fast charging station distribution problem in different scenarios, but also provide strong theoretical support and policy recommendations for the improvement of Chinese charging infrastructure and the sustainable development of the electric vehicle industry. |
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| Keywords: | main highway network battery electric vehicle fast charging station layout decision making |
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