Integrated Operation Model for Autonomous Mobility-on-Demand Fleet and Battery Swapping Station

被引:42
作者
Ding, Zhaohao [1 ]
Tan, Wenrui [1 ]
Lee, Wei-Jen [2 ]
Pan, Xuyang [3 ]
Gao, Shiqiao [3 ]
机构
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
[2] Univ Texas Arlington, Dept Elect Engn, Arlington, TX 76019 USA
[3] EDF China Holding Ltd, Beijing 100005, Peoples R China
基金
中国国家自然科学基金;
关键词
Batteries; Job shop scheduling; Computational modeling; Load modeling; Optimization; Roads; Costs; Autonomous mobility-on-demand (AMoD); battery swapping station (BSS); charging scheduling; demand response; electric vehicles; COORDINATION; OPTIMIZATION; MANAGEMENT; SYSTEMS;
D O I
10.1109/TIA.2021.3110938
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The autonomous mobility-on-demand (AMoD) system provides an alternative solution for sustainable and economical transportation system. Meanwhile, battery swapping could become a promising approach to sustain the efficient operation of EV fleet. This article proposes a combined operation scheme for battery swapping station (BSS) and AMoD system. To maximizing the profit of AMoD system, an expanded network flow model is employed to determine swapping scheduling and vehicle rebalancing for EV fleet in AMoD system. The interaction between the shared mobility-on-demand system and BSS is modeled by the swapping demand and swapping price. Specifically, swapping demand is determined in the AMoD system and introduced as known parameters in the BSS problem. Fleet management operation in AMoD system will be influenced by swapping price provided by BSS. The BSS management problem is formulated as a mixed-integer linear programming model, which optimizes refueling decisions for depleted batteries. Simulation experiments based on real-world data from New York City are provided. The results demonstrate the effectiveness of this proposed integrated operation model.
引用
收藏
页码:5593 / 5602
页数:10
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