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  4. Optimizing Charging Infrastructure for Truck Depots: Cost-Minimal System for Truck Charging Combined with PV and Battery Storage Systems
 
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2025
Conference Paper not in Proceedings
Title

Optimizing Charging Infrastructure for Truck Depots: Cost-Minimal System for Truck Charging Combined with PV and Battery Storage Systems

Title Supplement
Paper presented at the 38th International Electric Vehicle Symposium and Exhibition, Gothenburg, Sweden, 15-18th June 2025
Abstract
With the increasing electrification of trucks, an intelligent charging infrastructure is becoming relevant for companies to reduce energy costs or to enable the operation of an electric truck fleet within the given grid connection capacity. We model a system that combines electric truck charging with photovoltaic generation and a battery storage system and determine the cost-optimal infrastructure configuration. A case study of a food logistics center reveals that load management generally reduces peak load and system cost. The stationary battery storage system is profitable in a regional distribution transport setting, whereas load management without additional battery storage is cost-efficient in an urban distribution transport setting. We identify electricity costs, network charges, and charging station costs as primary cost components of the system and identify the highest cost saving potential in the peak load-depending network charges.
Author(s)
Frank, Fabio  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Oebel, Johannes
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Gnann, Till  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Conference
International Electric Vehicle Symposium & Exhibition 2025  
File(s)
Download (579.54 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-4844
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • Heavy-duty electric vehicles and buses

  • Smart charging

  • Energy storage systems

  • Modelling & simulation

  • Energy management

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