Journal
ENERGY
Volume 198, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.117302
Keywords
Heterogeneous fleet; Mobile charging service; Vehicle routing problem; Service object selection
Categories
Funding
- National Key R&D Program of China [2018YFB1600500]
- National Natural Science Foundation of China, China [U1811463, 71961137008]
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A novel charging approach, named mobile charging service, is proposed for battery electric vehicles. The mobile charging service operator receives booking reservations from battery electric vehicle drivers including electricity, locations and required time windows, and based on the information allocated mobile charging vehicles do the charging. This service offers an alternative of fixed charging facilities and also flexibility to battery electric vehicle drivers as they do not need to wait in their vehicles during the charging service. Mobile charging service operators may be equipped with high service-efficiency mobile charging vehicles and low service-efficiency mobile charging vehicles. High service-efficiency mobile charging vehicles can complete the same charging service in a short period of time and charge high service fees, but the cost is high, while low service-efficiency mobile charging vehicles are the opposite. It is urgent to optimize both the number and routes of these two types of mobile charging vehicles at the same time to take advantage of their respective advantages from the operator's perspective. To address this challenge, we introduce the mobile charging service problem with time windows and multiple mode service, and formulate it as a 0-1 mixed integer linear model. The designed model is tested in 24 small examples and two large instances in Dalian, China, where sensitivity analyses are performed to further evaluate the effectiveness of this model. The result shows, the combination of mobile charging vehicles with different service efficiency can help the operator obtain more profits than all mobile charging vehicles with the same service efficiency regardless of high or low service efficiency. (C) 2020 Elsevier Ltd. All rights reserved.
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