Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4761
Title: Business Models for Electric Vehicle Fixed Charging Station Infrastructure with Commercial and Non-commercial Uses
Authors: Erdeş, H.
Kesen, S.E.
Keywords: Battery Swapping Station
Business Model
DC Charging
Electric Vehicles
Charging (batteries)
Commercial vehicles
Integer programming
Secondary batteries
Battery swapping
Battery swapping station
Business models
Charging station
Commercial use
Condition
DC charging
Logistics company
Resources utilizations
Station infrastructure
Sensitivity analysis
Publisher: Springer Science and Business Media Deutschland GmbH
Abstract: This study investigates how the resource utilization of electric vehicle (EV) charging infrastructure can be improved with various business model proposals within the scope of the sharing economy and aims to use resources more efficiently by dividing EVs in three categories: non-commercial, commercial and contracted-commercial. Different charging technologies such as DC charger and Battery Swapping Stations (BSSs) are included in the models presented, and 0–1 MILP formulations are introduced for two business models. Models mainly focus on possible agreements between a Logistics Company (LC) and a Charge Point Operator Company (CPOC) on the basis of certain double-sided conditions. Following the illustrative example given for a better understanding of the problem definition and the problem environment, experimental studies are included. As a result of the experimental studies, sensitivity analysis is given for the effect of executing the agreements under different conditions on the additional cost to be paid. The results revealed that the agreements to be made are shaped according to the different charging technology characteristics, the number of customers and the conditions of the Logistics Companies. © 2023, IFIP International Federation for Information Processing.
Description: IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2023 -- 17 September 2023 through 21 September 2023 -- -- 300719
URI: https://doi.org/10.1007/978-3-031-43670-3_19
https://hdl.handle.net/20.500.13091/4761
ISBN: 9783031436697
ISSN: 1868-4238
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

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