Joint Optimization of Battery Swapping Station Revenue and Electric Vehicle Owners’ Benefits by Introducing Tiered Pricing Incentives

doi:10.1109/IECON49645.2022.9968792

	Joint Optimization of Battery Swapping Station Revenue and Electric Vehicle Owners’ Benefits by Introducing Tiered Pricing Incentives
	Wei Wang; Hengzhao Yang
	2022-10
会议录名称	IECON 2022 – 48TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
ISSN	1553-572X
发表状态	已发表
DOI	10.1109/IECON49645.2022.9968792
摘要	As the penetration of electric vehicles (EVs) increases, how to power them becomes an even challenging problem. Among others, swapping depleted batteries at a battery swapping station (BSS) is a possible solution as a swapping service may be conveniently completed within minutes. This paper proposes a joint optimization framework to maximize the sum of the BSS revenue and the benefits of the EV owners by introducing tiered pricing incentives including rewards and penalties. Depending on the grid state, the BSS encourages the EV owner to swap a battery with an optimal state of charge that can be beneficial to either the BSS or the EV owner (or even both of them). By conducting a case study, this paper shows that the EV owners can be rewarded or penalized and their benefits can be optimized when the tiered pricing scheme is in effect. Moreover, the BSS can utilize the batteries in stock to boost its capability of shaving the peak of the power grid.
关键词	Battery swapping station revenue electric vehicle owners’ benefits tiered pricing incentives joint optimization genetic algorithm
会议地点	Brussels, Belgium
会议日期	17-20 Oct. 2022
URL	查看原文
来源库	IEEE
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/354963
专题	信息科学与技术学院信息科学与技术学院_硕士生信息科学与技术学院_PI研究组_杨恒昭组
作者单位	School of Information Science and Technology, ShanghaiTech University, Shanghai, China
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Wei Wang,Hengzhao Yang. Joint Optimization of Battery Swapping Station Revenue and Electric Vehicle Owners’ Benefits by Introducing Tiered Pricing Incentives[C],2022.