Route Guidance Strategies for Electric Vehicles by Considering Stochastic Charging Demands in a Time-Varying Road Network

Yongxing Wang, Jun Bi, Chaoru Lu and Cong Ding
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Yongxing Wang: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Jun Bi: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Chaoru Lu: Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, 7033 Trondheim, Norway
Cong Ding: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Energies, 2020, vol. 13, issue 9, 1-24

Abstract: Electric vehicles (EVs) are being increasingly adopted because of global concerns about petroleum dependence and greenhouse gas emissions. However, their limited driving range results in increased charging demands with a stochastic characteristic in real-world situations, and the charging demands should be attributed toward charging stations in time-varying road networks. To this end, this study proposes guidance strategies to provide efficient choice for charging stations and corresponding routes, and it includes the time-varying characteristic of road networks in problem formulation. Specifically, we propose two route guidance strategies from different perspectives based on the charging demand information. The first strategy focuses on the effects of the number of EVs on the charging stations’ operation, and the reachable charging stations with the fewest vehicles are selected as the heuristic suggested ones. The other strategy considers the travel cost of individual drivers and selects the charging stations nearest to the destination as heuristic suggested ones. Both strategies ensure that the selected charging stations can be reached in a time-varying road network. In addition, we carry out a simulation analysis to investigate the performance of the proposed route guidance strategies and introduce relevant insights and recommendations for the application of the strategies under various scenarios.

Keywords: electric vehicles; route guidance strategies; stochastic charging demands; time-varying road network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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