Methodology for Determining Charging Strategies for Freight Traffic Vehicles based on Traffic Simulation Results

EasyChair Preprint no. 4684

Abstract

The decarbonization of transport is one major challenge in the upcoming years. One possible solution is the use of battery electric vehicles (BEV). While electric passenger cars and their charging strategies are already in series production, battery electric trucks and their charging strategies are still mostly in the prototype stage. The range limitations of battery electric trucks represent a new challenge for logistics. Therefore, we introduce a methodology for determining charging strategies for freight transport vehicles based on transport simulation results. We analyze the results of an agent-based transport simulation (MATSim) and evaluate different settings of normal and fast charging points. We found for a case study dealing with the food retailing in Berlin, that for a fleet with 279 vehicles in 16 depots 214 normal and 61 fast charging points are sufficient to complete approx. 90% of the tours with BEV. If the vehicles share their charging points, only 71 fast charging points with 400 kW are sufficient. With higher charging power the share of charged vehicles hardly increases. With 29 additional high performance opportunity chargers within the city, all tours can be operated by battery electric trucks.

Keyphrases: battery electric trucks, Decarbonization, high performance charging, multi-agent transport model, urban freight transport

@Booklet{EasyChair:4684,
  author = {Ricardo Miranda Jahn and Anne Syré and Alexander Grahle and Kai Martins-Turner and Dietmar Göhlich},
  title = {Methodology for Determining Charging Strategies for Freight Traffic Vehicles based on Traffic Simulation Results},
  howpublished = {EasyChair Preprint no. 4684},

  year = {EasyChair, 2020}}