Dataset underlying the research of electrochemical model-based state estimation

Datacite citation style:
Weihan Li (2020): Dataset underlying the research of electrochemical model-based state estimation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:dd44d161-199a-4792-a16b-1a7782674a78
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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.

History

  • 2020-07-23 first online, published, posted

Publisher

4TU.ResearchData

Format

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

Files (1)

  • 1,748,177 bytesMD5:a2e8fe1619010c5f4bfecc666327d13dData.rar