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Book Chapter

Simulating charging behavior of electric vehicles: review and comparison with empirical data

Authors
/persons/resource/jarusch.muessel

Müßel,  Jarusch
Potsdam Institute for Climate Impact Research;

Ruhnau,  Oliver
External Organizations;

Madlener,  Reinhard
External Organizations;

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Citation

Müßel, J., Ruhnau, O., Madlener, R. (2023): Simulating charging behavior of electric vehicles: review and comparison with empirical data. - In: 2023 19th International Conference on the European Energy Market (EEM), New York : Institute of Electrical and Electronics Engineers, 452.
https://doi.org/10.1109/EEM58374.2023.10161947


Cite as: https://publications.pik-potsdam.de/pubman/item/item_29423
Abstract
Electric vehicles (EVs) are an important option to decarbonize the passenger transport sector and, therefore, critical to be adequately represented in energy system models. One of the main challenges is to model the volatility associated with charging EVs. We provide an overview of existing modeling approaches for this. We especially compare methods for simulating charging profiles and discuss their advantages and disadvantages, depending on the application. On that basis, we pick one simulation approach and generate time series for a case study of Germany in 2030. We assess the results and compare them with a large empirical dataset on EV charging in the UK. We derive recommendations for the future modeling of EVs.