Dataset underlying the research of Digital twin for battery systems

Datacite citation style:
Weihan Li (2020): Dataset underlying the research of Digital twin for battery systems. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:7242c7ff-8bc3-4400-9cb9-4b47a049d4fa
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This is the dataset for the journal paper "Digital twin for battery systems: cloud battery management system with online state-of-charge and state-of-health estimation"

History

  • 2020-06-04 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/x-matlab-data, application/zip, text/plain

Funding

  • Electric Vehicle Enhanced Range, Lifetime And Safety Through INGenious battery management (grant code 713771) [more info...] European Commission

Organizations

RWTH Aachen University, Institute for Power Electronics and Electrical Drives (ISEA)

DATA

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