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报告题目：Scaling up electric-vehicle battery swapping services in cities: A joint location and repairable-inventory model

中文题目：扩展城市电动汽车换电服务——联合选址和可修复库存模型

主 持 人：钱志峰 青年研究员

报 告 人：张宁威     博 士

报告时间：2023年10月12日（周四）19:30

报告地点：腾讯会议 （会议ID：717-131-228）

报告简介：

发展新能源汽车是我国从汽车大国迈向汽车强国的必由之路。换电电动汽车具有补能时间短、电池充电安全性高等优势，应用前景广阔。然而，随着换电需求规模增长，换电服务设施网络运营面临换电需求不确定、电网容量限制、服务质量要求等方面的挑战。为应对以上挑战，本次报告将针对集中式换电服务网络的联合选址和库存问题进行探讨。其中，集中式换电服务模式下，换电站将换下的电池运往充电站进行集中充电，充满后再运回换电站用于换电服务。本次报告首先对集中式换电服务网络中的换电站和充电站的运营过程进行建模，在此基础上分析了不确定换电需求下备用电池的需求量，进而建立了联合选址和库存优化模型，并利用模型的次模性和可分性设计了高效的精确求解算法，最后基于真实数据进行数值实验，为换电服务网络设计和运营模式选择提供决策支持。

The development of new energy vehicles is an essential step for China to move from a large automobile country to an automotive powerhouse. The battery-swapping electric vehicles have bright prospects due to their advantages, such as swiftness of refueling and safety battery charging management. However, as the swapping demands increase, the operations of electric vehicle battery swapping service networks (EVBSSNs) are facing the challenges of swapping demand uncertainty, grid accessibility, high service quality requirement, etc. In this presentation, we focus on the location and inventory management problems of centralized EVBSSNs to deal with the challenges. In the centralized EVBSSNs, the swapped-off batteries at swapping stations are delivered to centralized charging stations to be recharged, and the fully-charged batteries are then delivered to the swapping stations to meet the forthcoming swapping demands. We model the operation process of the swapping stations and charging stations in the centralized EVBSSNs, and analyze the requirements of spare batteries under uncertain swapping demands. Based on the analysis results, we formulate joint location-inventory models for the centralized EVBSSNs. We also develop efficient exact algorithms by exploiting the submodularity and separability of the models. Then, we conduct numerical experiments based on real-world data, and provide suggestions on the designs of EVBSSNs and the selection between distributed and centralized EVBSSNs.

报告人简介：

张宁威，男，北京理工大学博士，主要从事供应链管理、运营管理等领域的研究，多项研究成果发表在Management Science、IEEE Transactions on Automation Science and Engineering、Journal of Energy Storage、《工业工程与管理》等期刊，参与科技部重点研发计划科技创新2030、国家自然科学基金重大研究计划重点和面上等多项项目。

【代表性科研成果】

[1] Qi Wei#, Zhang Yuli#*, Zhang Ningwei, “Scaling up electric-vehicle battery swapping services in cities: A joint location and repairable-inventory model”, Management Science, Online 2023.

[2] Zhang Ningwei, Zhang Yuli*, Song Shiji, Chen C. L. Philip, “A review of robust machine scheduling”, IEEE Transactions on Automation Science and Engineering, Online 2023.

[3] Zhang Ningwei, Zhang Yuli*, Ran Lun, Liu Peng, Guo Yue, “Robust location and sizing of electric vehicle battery swapping stations considering users’ choice behaviors”, Journal of Energy Storage, 2022.