Electric Vehicle Battery Charging Scheduling Under the Battery Swapping Mode

Yuqing Zhang ()
Additional contact information
Yuqing Zhang: Beijing Jiaotong University

A chapter in AI and Analytics for Smart Cities and Service Systems, 2021, pp 269-278 from Springer

Abstract: Abstract Electric vehicle battery recharging on the swapping mode has grown up as an important option other than the plug-in charging mode in China, given that several auto giants have been dedicated in constructing their battery swapping systems. However, the lack of effective operational methods on battery recharging and transportation scheduling has aroused a big challenge on the practical application of the swapping mode, which enables the necessity of our work. This study proposes a joint optimization model of recharging and scheduling of electric vehicle batteries with a dynamic electricity price system, which is able to identify the optimal charging arrangement (the recharging time and the quantity of recharging batteries) as well as the optimal transportation arrangement (the transportation time and the quantity of transporting batteries). For the validation purpose, a numerical study is implemented based on dynamic electricity prices in Beijing.

Keywords: Electric vehicle; Battery charging; Battery swapping; Battery logistics (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-030-90275-9_22

Ordering information: This item can be ordered from
http://www.springer.com/9783030902759

DOI: 10.1007/978-3-030-90275-9_22

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().