Dynamic Pricing for Mobile Charging Service Considering Electric Vehicles Spatiotemporal Distribution
Paper in proceeding, 2023

As mobile charging service has the advantages of flexible charging and simple operation, it is selected by more and more users of electric vehicles. However, due to the differences in road network density and traffic flow distribution, the uneven distribution of charging demand occurs in different regions. It reduces the service efficiency of mobile charging vehicles during the peak charging demand period, thus affecting the final revenue of operators. In order to solve this problem, this paper proposes a dynamic pricing strategy considering the spatiotemporal distribution of charging demand to induce users to transfer between different regions, which can alleviate the phenomenon that users wait too long during peak demand. In order to realize the city-level operation of mobile charging service, we divide the region into hexagons and make statistics on the charging demand in each region. The established demand updating model can reflect the impact of charging price on users’ charging behavior. Finally, we simulate the generation of charging demand in Haidian District, Beijing. According to the demand of each area, a thermodynamic diagram of charging demand is generated.

Dynamic pricing

Mobile charging

Regional division

Author

Baozhen Yao

Dalian University of Technology

Heqi Cui

Dalian University of Technology

Qian Zhong

Dalian University of Technology

Bin Shi

Dalian University of Technology

Yongjie Xue

Beihang University

Shaohua Cui

Beihang University

Chalmers, Architecture and Civil Engineering, Geology and Geotechnics

Smart Innovation, Systems and Technologies

2190-3018 (ISSN) 2190-3026 (eISSN)

Vol. 356 23-33
9789819932832 (ISBN)

6th KES International Symposium on Smart Transportation Systems, KES STS 2023
Rome, Italy,

Subject Categories

Transport Systems and Logistics

DOI

10.1007/978-981-99-3284-9_3

More information

Latest update

7/26/2023