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  4. Modelling a capacity-constrained public charging infrastructure network for electric trucks in Germany
 
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2023
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

Modelling a capacity-constrained public charging infrastructure network for electric trucks in Germany

Title Supplement
Conference paper presented at 36th International Electric Vehicle Symposium and Exhibition (EVS36), Sacramento, California, USA, June 11-14, 2023
Abstract
CO2 emission standards in the European Union necessitate the introduction of zero-emission trucks. Battery electric trucks are one promising alternative to diesel trucks. However, a public fast charging infrastructure is necessary for operation. Existing charging infrastructure models do not contain restrictions regarding the maximum size of a single charging location, leading to unrealistically large locations. Here, we integrated a capacity constraint derived from the available parking lots and applied the resulting model to 236,000 origin-destination traffic flows. Considering a vehicle range of 300 km, we identified 124 optimal charging locations with approximately 12,000 charging points in Germany. Hence, our locations are still quite large, but feasible from the perspective of available parking space. Without the capacity constraint, 42 charging locations could serve Germany.
Author(s)
Speth, Daniel  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Plötz, Patrick  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Wietschel, Martin  
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Conference
International Electric Vehicle Symposium and Exhibition 2023  
DOI
10.24406/publica-2254
File(s)
EVS36_Modelling_a_capacity-constrained_public_charging_infrastructure_network_electric_trucks_Germany.pdf (1.77 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • BEV (battery electric vehicle)

  • freight transport

  • heavy-duty

  • infrastructure

  • truck

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