Title: Multi-type electric vehicle relocation problem considering required battery-charging time

Authors: Ivan Kristianto Singgih; Byung-In Kim

Addresses: Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, South Korea ' Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, South Korea

Abstract: This research discusses an electric vehicle (EV) relocation problem, wherein multiple types of EVs are transported using heterogeneous trucks. The initial position, battery level of the EVs, and the required number of EVs and empty parking slots at each station are provided as inputs. Relocations are performed during the night, while no EVs are used. Before the end of the relocation planning horizon, each EV must be charged to a certain battery level. The charging process can only be performed when the EV is not being transported. The objectives are to minimise the total transportation costs, the total truck fixed costs, and the total unsatisfied empty parking slot requirements while ensuring that all EV demands are satisfied. A mixed-integer linear programming (MILP) model and construction and improvement heuristic approaches are proposed. The results of the computational experiments indicate that the proposed approaches perform well. [Received: 25 February 2019; Accepted: 26 August 2019]

Keywords: electric vehicle relocation; battery-charging; heterogeneous truck; heuristic; adaptive large-neighbourhood search; mixed-integer linear programming; MILP.

DOI: 10.1504/EJIE.2020.107697

European Journal of Industrial Engineering, 2020 Vol.14 No.3, pp.335 - 368

Received: 25 Feb 2019
Accepted: 26 Aug 2019
Published online: 08 Jun 2020 *

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