Optimal charging strategy for intercity travels of battery electric vehicles. (July 2021)

• Record Type: Journal Article
• Authors: Wang, Yongxing; Bi, Jun; Guan, Wei; Lu, Chaoru; Xie, Dongfan
• Is Part Of: Transportation research. Volume 96(2021)
• Publication Date: 2021-07
• Subjects: Battery electric vehicles -- Charging behaviour -- Multicriteria charging strategy -- Multistage optimisation model -- Dynamic programming; Transportation -- Research -- Periodicals; Transportation -- Environmental aspects -- Periodicals; 354.76
• DOI: 10.1016/j.trd.2021.102870
• Languages: English
• ISSNs: 1361-9209

Abstract

Highlights: A multistage optimisation model is developed for intercity travels of BEVs. Both travel time and charging cost are jointly considered in the proposed model. The impacts of drivers' preference for travelling cost components are explored. Abstract: Limited driving range, long charging time and high charging costs affect the use of battery electric vehicles (BEVs) for intercity travels and often compel drivers to charge their vehicles more than once. This study proposes a multistage optimisation model to provide BEV drivers with a charging strategy for intercity travel. This model aims to jointly minimise travel time and charging cost and to determine the optimal amount of charged energy in each charging station located along the available routes. A dynamic programming method for solving this model is also designed. The feasibility and effectiveness of the proposed model and solution method are verified through the numerical example and simulations. The results indicate that the trade-offs between travel time and charging cost significantly influence the proposed solution, and the residual energy at the destination affects the availability of routes. The policy implications for the BEV-based intercity travels are discussed.