Data-driven state estimation of large-scale battery systems

Wang, Zhuo ORCID: 0000-0002-0666-3724 (2022) Data-driven state estimation of large-scale battery systems. PhD thesis, University of Sheffield.



Supervisors: Gladwin, Dan and Foster, Martin
Related URLs:
Keywords: Battery systems; State of charge; State of health; Kalman filter; Least squares
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Electronic and Electrical Engineering (Sheffield)
Identification Number/EthosID:
Depositing User: Mr Zhuo Wang
Date Deposited: 08 Apr 2022 14:43
Last Modified: 01 May 2023 09:53


Final eThesis - complete (pdf)



You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.