Fleet Disposition Modeling to Maximize Utilization of Battery Electric Vehicles in Companies with On-Site Energy Generation

Johannes Betz, Dominick Werner, Markus Lienkamp

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Various intelligent fleet disposition algorithms can be used to allocate mobility requests to a fleet of electric vehicles. However, none of these incorporate the issue of on-site energy generation at the company running the mixed fleets. This work presents an approach to distribute trips to a mixed fleet of conventional internal combustion engine vehicles and battery electric vehicles in coordination with a decentralized energy management, such that economic and ecologic target parameters are maximized. This includes a detailed charging schedule. A new algorithm based on a mixed integer linear program was developed that incorporates variable charging infrastructures, the mobility profile of a company and different vehicle classes, to produce an optimized usage schedule for the company. As main findings, the new developed model is capable of analyzing the financial and ecological potential of substituting individual ICEVs with BEVs and provides a customized recommendation for the optimal fleet composition, depending on the number of trips and the specification of the vehicles.

Original languageEnglish
Pages (from-to)241-257
Number of pages17
JournalTransportation Research Procedia
Volume19
DOIs
StatePublished - 1 Dec 2016

Keywords

  • Battery electric vehicle
  • charging management
  • corporate mobility
  • fleet disposition
  • operating cost
  • trip allocation
  • utilization

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