Co-estimating the state of charge and health of lithium batteries through combining a minimalist electrochemical model and an equivalent circuit model
No Thumbnail Available
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2022-02-01
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
14
Series
Energy, Volume 240, pp. 1-14
Abstract
Accurate estimation of the state of charge (SOC) and state of health (SOH) is a fundamental requirement for the management system of a lithium-ion battery, but also important to the safety and operational effectiveness of electric vehicles and energy storage systems. Here a model-based method is implemented to assess the SOC and SOH simultaneously. An equivalent circuit model is employed to describe the battery dynamics with recursive least squares online identifying model parameters and unscented Kalman filter estimating battery state. A minimalist electrochemical model is proposed to describe the distribution of the lithium content inside the battery relating the SOH to the capacity fading due to irreversible loss of Li. Based on the real-time capacity value, the state of charge could further be estimated. Comparing the experimental results shows that the battery capacity, i.e., SOH could be predicted timely with a mean error around 2%, which confirms the validity of the proposed co-estimation method for SOC and SOH.Description
Funding Information: The financial support by the National Natural Science Foundation of China (No. 22109022 ), Scientific Research Foundation of Graduate School of Southeast University (No. YBPY2105 ) and the Fundamental Research Funds for the Central Universities (No. 2242021k30028 ) are greatly acknowledged. Publisher Copyright: © 2021 Elsevier Ltd
Keywords
Equivalent circuit model, Lithium-ion battery, Minimalist electrochemical model, State of charge, State of health
Other note
Citation
Xu, Z, Wang, J, Lund, P D & Zhang, Y 2022, ' Co-estimating the state of charge and health of lithium batteries through combining a minimalist electrochemical model and an equivalent circuit model ', Energy, vol. 240, 122815, pp. 1-14 . https://doi.org/10.1016/j.energy.2021.122815