Electric vehicle routing problem with time windows, recharging stations and battery swapping stations

Due to new environmental measures and targets for reducing emissions, many logistics companies have started adopting electric vehicles in their fleet for cargo delivery. They are increasingly becoming popular for last mile deliveries. However, due to their limited range, they require frequent visits...

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Bibliographic Details
Published inEURO Journal on Transportation and Logistics Vol. 7; no. 4; pp. 415 - 451
Main Author Verma, Amit
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Elsevier B.V 01.12.2018
Springer Berlin Heidelberg
Elsevier Limited
Subjects
Battery swapping
Business and Management
Charging
Electric vehicles
Logistics
Management Science
Motor vehicle fleets
Operations Research
Operations Research/Decision Theory
Optimization
Rechargeable batteries
Recharging
Research Paper
Route planning
Routing
Stations
Time windows
Vehicle routing
Windows (intervals)
Battery swapping
Time windows
Electric vehicles
Vehicle routing
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Summary:Due to new environmental measures and targets for reducing emissions, many logistics companies have started adopting electric vehicles in their fleet for cargo delivery. They are increasingly becoming popular for last mile deliveries. However, due to their limited range, they require frequent visits to recharging stations while delivering products to customers along their route. Long recharging times at available stations can have an adverse impact on route planning especially when short delivery time windows are considered. Battery swapping has the potential to reduce recharging times by replacing the vehicles' batteries with fully charged batteries. However, each battery swap is expensive than traditional recharging methods. In this paper, we present a variant of the Electric Vehicle Routing Problem with Time Windows and Recharging Stations by allowing the available stations to serve both as Recharging Stations (RSs) and Battery Swapping Stations (BSSs). To the best of our knowledge, this problem has not been previously addressed in the literature. A model and algorithm for this problem are presented, computational experiments are performed and insights regarding when consideration of BSSs are particularly useful are provided.
ISSN:2192-4376
2192-4384
DOI:10.1007/s13676-018-0136-9