4.7 Article

Utilization of dynamic wireless power transfer technology in multi-depot, multi-product delivery supply chain

期刊

出版社

ELSEVIER
DOI: 10.1016/j.segan.2022.100836

关键词

Electrical vehicles (EVs); Wireless power transfer (WPT); Dynamic wireless charging (DWC); Location-routing problem (LRP); Energy management

向作者/读者索取更多资源

This study proposes a long-term mathematical model for locating and routing electric freight trucks and installing dynamic wireless charging infrastructure. By considering factors such as truck battery capacity, charging facility cost, electrical energy losses, and voltage deviation in the power distribution system, the model can effectively address the issues of conventional charging methods.
Dynamic wireless charging technology (DWC) is considered an innovative contactless way to charge the battery of electric vehicles (EV) in the modern transportation system. By installing charging infrastructure beneath the road, this technology can overcome the obstacles of conventional charging topology, including high battery cost, restricted driving range, limited availability of charging stations, and long recharging downtime. This paper proposes a long-term mathematical model for locating -routing electric freight trucks (EFTs), which belongs to the Multi-Depot Multi-product delivery supply chain. In the proposed framework, the placement of DWC infrastructure and routing of EFTs has been accomplished by considering the battery capacity of trucks, charging facilities installation cost, electrical energy losses, and the voltage deviation in the power distribution system (PDS). Finally, two comparative case studies have been performed on the interconnected network IEEE 13 node test feeder and Nguyen-Dupius traffic network to validate the proposed approach. We also conduct a sensitivity analysis to understand the model's system behavior and confirm it with insight.(c) 2022 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据