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

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

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 Creators:
Müßel, Jarusch1, Author              
Ruhnau, Oliver2, Author
Madlener, Reinhard2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2023-07-032023-07
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/EEM58374.2023.10161947
MDB-ID: No data to archive
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD3 - Transformation Pathways
Working Group: Energy Systems
Regional keyword: Europe
Model / method: Quantitative Methods
 Degree: -

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Title: 2023 19th International Conference on the European Energy Market (EEM)
Source Genre: Book
 Creator(s):
Affiliations:
Publ. Info: New York : Institute of Electrical and Electronics Engineers
Pages: - Volume / Issue: - Sequence Number: 452 Start / End Page: - Identifier: DOI: 10.1109/EEM58374.2023
ISBN: 979-8-3503-1258-4