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Dataset underlying the research of electrochemical model-based state estimation

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posted on 23.07.2020 by Weihan Li
This is the supplementary data to the article 'Electrochemical model-based state estimation for lithium-ion batteries with adaptive unscented Kalman filter', which is published in Journal of Power Sources.

Funding

European Commissions [EVERLASTING], 713771

History

Contributors

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

Publisher

4TU.ResearchData

Format

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

Licence

Exports