Joint Optimal Policy for Subsidy on Electric Vehicles and Infrastructure Construction in Highway Network

Yue Wang, Zhong Liu, Jianmai Shi, Guohua Wu and Rui Wang
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Yue Wang: Science and Technology on Information Systems Engineering Laboratory, College of System Engineering, National University of Defense Technology, Changsha 410073, China
Zhong Liu: Science and Technology on Information Systems Engineering Laboratory, College of System Engineering, National University of Defense Technology, Changsha 410073, China
Jianmai Shi: Science and Technology on Information Systems Engineering Laboratory, College of System Engineering, National University of Defense Technology, Changsha 410073, China
Guohua Wu: School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China
Rui Wang: Science and Technology on Information Systems Engineering Laboratory, College of System Engineering, National University of Defense Technology, Changsha 410073, China

Energies, 2018, vol. 11, issue 9, 1-21

Abstract: The promotion of the battery electric vehicle has become a worldwide problem for governments due to its short endurance range and slow charging rate. Besides an appropriate network of charging facilities, a subsidy has proved to be an effective way to increase the market share of battery electric vehicles. In this paper, we investigate the joint optimal policy for a subsidy on electric vehicles and infrastructure construction in a highway network, where the impact of siting and sizing of fast charging stations and the impact of subsidy on the potential electric vehicle flows is considered. A new specified local search (LS)-based algorithm is developed to maximize the overall number of available battery electric vehicles in the network, which can get provide better solutions in most situations when compared with existed algorithms. Moreover, we firstly combined the existing algorithms to establish a multi-stage optimization method, which can obtain better solutions than all existed algorithms. A practical case from the highway network in Hunan, China, is studied to analyze the factors that impact the choice of subsidy and the deployment of charging stations. The results prove that the joint policy for subsidy and infrastructure construction can be effectively improved with the optimization model and the algorithms we developed. The managerial analysis indicates that the improvement on the capacity of charging facility can increase the proportion of construction fees in the total budget, while the improvement in the endurance range of battery electric vehicles is more efficient in expanding battery electric vehicle adoption in the highway network. A more detailed formulation of the battery electric vehicle flow demand and equilibrium situation will be studied in the future.

Keywords: battery electric vehicles; charging station; local search; location problem (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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