From user to operator: Rationalizing the charging infrastructure deployment. A case study of Berlin

M.O. Metais, O. Jouini, Yannick Perez () and J. Berrada

Applied Energy, 2024, vol. 376, issue PB, No S0306261924015162

Abstract: The urge to develop greener transportation necessitates a shift from internal combustion engine vehicles to electric vehicles (EVs). Ensuring user acceptance of EVs through adequate charging infrastructure is crucial for this transition. We hypothesize that a user-oriented, time and space-coherent deployment of charging stations can reduce range anxiety and enhance EV adoption. We present a new multi-criteria deployment model and apply it through a MATSim multi-agent simulation to the Berlin region, observing the effects of different user behaviors on the charging infrastructure deployment. Results indicate that slow chargers are more cost-efficient and that residential charging is vital for user acceptance of EVs. The study concludes that a well-planned deployment schedule significantly reduces range anxiety and supports a coherent charging infrastructure helping EV democratization.

Keywords: Electric vehicle; Charging station; Charging infrastructure planning; Location problem; Green mobility (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.124133

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