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3112. Charging Infrastructure Optimization for Independent Electric Vehicle Routing: A Case Study in Norway
Invited abstract in session TA-53: Charging Infrastructure toward Sustainable Transport, stream Sustainable and Resilient Systems.
Tuesday, 8:30-10:00Room: 8007 (building: 202)
Authors (first author is the speaker)
1. | Jesper Bang Mikkelsen
|
Department of Economics and Business Economics, Aarhus University | |
2. | Remy Spliet
|
Econometric Institute, Erasmus University Rotterdam |
Abstract
Conventional vehicles are characterized by long and reliable driving ranges and are furthermore supported by a well-established refueling infrastructure. Therefore, vehicle refueling has traditionally been ignored in vehicle routing problems in the literature. However, with the adoption of electric vehicles (EVs) in distribution fleets, a new extension to the vehicle routing literature has emerged. Today, EVs are limited by short driving ranges and, especially for heavy-duty EVs, the infrastructure of charging stations is still sparse. Hence, much effort has been made in the literature to develop complex routing models that integrate routing and refueling decisions for EVs. However, with a sufficient infrastructure of charging stations, vehicle refueling may yet again be ignored, such that solutions for traditional vehicle routing problems are feasible for EVs.
In this study, we introduce the Charger Location Problem (CLP), which aims to determine charging infrastructure requirements for supporting charger independent EV routing. We present four variations of the CLP based on how frequently recharging is allowed and the number of trips considered. Through a case study in Norway, we demonstrate the significant impact of strategically locating charging stations along highways. Our findings underscore the importance of proactive infrastructure planning in facilitating the transition to independent EV routing, offering insights for policymakers and fleet operators.
Keywords
- Location
- Programming, Integer
- Logistics
Status: accepted
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