Electric Vehicle Tour Planning Considering Range Anxiety

Rui Chen, Xinglu Liu, Lixin Miao and Peng Yang
Additional contact information
Rui Chen: Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
Xinglu Liu: Intelligent Transportation and Logistics Systems Laboratory, Tsinghua-Berkeley Shenzhen Institute, Shenzhen 518055, China
Lixin Miao: Division of Logistics and Transportation, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Peng Yang: Division of Logistics and Transportation, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China

Sustainability, 2020, vol. 12, issue 9, 1-17

Abstract: In this study, the tour planning problem for electric vehicles is investigated. We aim to derive the optimal route and thus, to maximize profitability and minimize range anxiety within the time horizon. To solve this problem, a bi-objective mixed integer model is proposed. Specifically, we first introduced the reliability of route planning and quantified it as a cost with specific functions. The nonlinear model was then converted into a bi-objective mixed integer linear program, and an interactive branch and bound algorithm was adopted. Numerical experiments conducted on different networks have shown that the model that considers range anxiety offers more effective solutions. This means that our model is able to plan the routes with high reliability and low risk of profit loss and accidents.

Keywords: electric vehicle; tour planning; range anxiety; bi-objective programming (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/9/3685/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/9/3685/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:9:p:3685-:d:353389

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().