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
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- 1,748,177 bytesMD5:
a2e8fe1619010c5f4bfecc666327d13d
Data.rar -
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