Fleet sizing and charger allocation in electric vehicle sharing systems. (December 2022)

• Record Type: Journal Article
• Authors: Deng, Yuntian; Gupta, Abhishek; Shroff, Ness B.
• Is Part Of: IFAC journal of systems and control. Volume 22(2022)
• Publication Date: 2022-12
• Subjects: Electric vehicles -- Sharing economy in transportation -- Closed queueing networks; Automatic control -- Periodicals; Relay control systems -- Periodicals; Embedded computer systems -- Periodicals; Feedback control systems -- Periodicals; Artificial intelligence -- Periodicals; Artificial intelligence; Automatic control; Embedded computer systems; Feedback control systems; Relay control systems; Electronic journals; Periodicals; 629.89
• DOI: 10.1016/j.ifacsc.2022.100210
• Languages: English
• ISSNs: 2468-6018

Abstract

Abstract: In this paper, we propose a closed queueing network model for performance analysis of electric vehicle sharing systems with a certain number of chargers in each neighborhood. Depending on the demand distribution, we devise algorithms to compute the optimal fleet size and number of chargers required to maximize profit while maintaining a certain quality of service. We show that the profit is concave with respect to the fleet size and the number of chargers at each charging point. If more chargers are installed within the city, we show that it can not only reduce the fleet size, but it also improves the availability of vehicles at all the points within a city. We further show through simulation that two slow chargers may outperform one fast charger when the variance of charging time becomes relatively large in comparison to the mean charging time.