2026-08-17T08:41:33Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18776 2024-03-06T10:32:15Z ddc:004 open_access

Non-Linear Charge Functions for Electric Vehicle Scheduling with Dynamic Recharge Rates (Short Paper) Löbel, Fabian Borndörfer, Ralf Weider, Steffen Electric Vehicle Scheduling Battery Powered Vehicles Charging Process Non-linear Charging Recharge Modeling Dynamic Recharge Rate The ongoing electrification of logistics systems and vehicle fleets increases the complexity of associated vehicle routing or scheduling problems. Battery-powered vehicles have to be scheduled to recharge in-service, and the relationship between charging time and replenished driving range is non-linear. In order to access the powerful toolkit offered by mixed-integer and linear programming techniques, this battery behavior has to be linearized. Moreover, as electric fleets grow, power draw peaks have to be avoided to save on electricity costs or to adhere to hard grid capacity limits, such that it becomes desirable to keep recharge rates dynamic. We suggest a novel linearization approach of battery charging behavior for vehicle scheduling problems, in which the recharge rates are optimization variables and not model parameters. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Fabian Löbel and Ralf Borndörfer and Steffen Weider 2023 Is Part Of OASIcs, Volume 115, 23rd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.ATMOS.2023.15 urn:nbn:de:0030-drops-187765 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2023.15 eng https://creativecommons.org/licenses/by/4.0/legalcode