基于闭环供应链与时空网络的低空经济eVTOL充换电系统协同优化

展开
  • 1. 上海电力大学 人工智能学部,上海 201306; 2. 上海交通大学 电气工程学院,上海 200240; 3 上海电器科学研究所(集团)有限公司,上海 200063

孙佳辉(2000—),硕士生,从事低空经济研究。

林鹏峰,助理教授,博士生导师;E-maillinpengfeng@ieee.org

网络出版日期: 2026-05-11

基金资助

青年科学基金项目(C类)(52507124),上海市浦江人才计划项目(23FJ1405300),国家自然科学基金(52177185)

Collaborative Optimization of Battery Charging/Swapping Stations for eVTOLs Based on Closed-Loop Supply Chain and Time-Space Network in Low-Altitude Economy

Expand
  • 1. Faculty of Artificial Intelligence, Shanghai University of Electric Power, Shanghai 201306, China; 2. College of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 3. Shanghai Electrical Apparatus Research Institute (Group) Co., Ltd., Shanghai 200063, China

Online published: 2026-05-11

摘要

随着全球低空经济浪潮的兴起,各国竞相推出了一系列政策,旨在推动电动垂直起降飞行器(electric vertical take-off and landing,eVTOL)的应用与商业化。然而,纯电动的eVTOL面临着电池能量密度小、运行功率需求大和快速补能困难等挑战,限制了其续航和应用场景,为此亟需对其电池补能方案开展研究。本文为eVTOL设计了一个基于闭环供应链的电池充换电系统模型,并利用时空网络技术,在模型的换电站与充电站之间构建了一个高效灵活的电池物流运输系统。接着,以模型运营收益最大化为目标,对模型中电池的更换、运输和充电进行优化管理,并实现了eVTOL、换电站和充电站的联合运营。最后,利用Gurobi求解该模型,证明了其可行性。仿真结果还表明,该模型不仅能缓解eVTOL的续航焦虑,为其商业化提供助力,还能通过优化电池的充电策略,积极响应电网的调度规划。

本文引用格式

孙佳辉1, 林鹏峰2, 朱淼2, 崔昊杨1, 侯川川2, 奚培锋3 . 基于闭环供应链与时空网络的低空经济eVTOL充换电系统协同优化[J]. 上海交通大学学报, 0 : 1 . DOI: 10.16183/j.cnki.jsjtu.2025.423

Abstract

With the global rise of the low-altitude economy, countries around the world have been rolling out a series of policies aimed at promoting the application and commercialization of electric vertical take-off and landing (eVTOL) aircraft. However, all-electric eVTOLs face challenges such as low battery energy density, high power demands during operation, and difficulties in rapid recharging, which limit their range and potential use cases. As a result, there is an urgent need to investigate battery charging and swapping solutions for eVTOLs. This paper designs a battery charging and swapping system model for eVTOLs based on a closed-loop supply chain. Leveraging time-space network techniques, an efficient and flexible battery logistics transportation system is established between swapping stations and the charging station within the model. The study then optimizes battery swapping, transportation, and charging operations with the objective of maximizing operational revenue, enabling the coordinated operation of eVTOLs, swap stations, and charging stations. Finally, the model is solved using Gurobi, demonstrating its feasibility. Simulation results also indicate that the proposed model not only alleviates range anxiety for eVTOLs, thereby supporting their commercialization, but also facilitates active participation in power grid dispatch planning by optimizing battery charging strategies.
文章导航

/