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Title
A New Battery SOC/SOH/eSOH Estimation Method Using a PBM and Interconnected SPKFs: Part II. SOH and eSOH Estimation
xmlui.dri2xhtml.METS-1.0.item-contributorOtherinstitution
https://ror.org/03hp1m080https://ror.org/054spjc55
Version
http://purl.org/coar/version/c_ab4af688f83e57aa
Rights
© 2024 IOP PublishingAccess
http://purl.org/coar/access_right/c_f1cfPublisher’s version
https://doi.org/10.1149/1945-7111/ad30d5Published at
Journal of the Electrochemical Society Vol. 171. N. 3. N. art. 030518, 2024Publisher
IOP PublishingKeywords
Lithium Ion Battery
Sigma-Point Kalman Filter (SPKF)
State-of-Charge (SOC) Estimation
Physics-based model (PBM) ... [+]
Sigma-Point Kalman Filter (SPKF)
State-of-Charge (SOC) Estimation
Physics-based model (PBM) ... [+]
Lithium Ion Battery
Sigma-Point Kalman Filter (SPKF)
State-of-Charge (SOC) Estimation
Physics-based model (PBM)
State-of-Health (SOH)
electrode- State-of-Health (eSOH)
Degradation Modes [-]
Sigma-Point Kalman Filter (SPKF)
State-of-Charge (SOC) Estimation
Physics-based model (PBM)
State-of-Health (SOH)
electrode- State-of-Health (eSOH)
Degradation Modes [-]
xmlui.dri2xhtml.METS-1.0.item-unesco-amplio
http://skos.um.es/unesco6/33xmlui.dri2xhtml.METS-1.0.item-unesco-detallado
http://skos.um.es/unesco6/3322Abstract
Battery management systems (BMSs) are required to estimate many non-measurable values that describe the actual operating condition of batteries; such as state of charge (SOC) or state of health (SOH). ... [+]
Battery management systems (BMSs) are required to estimate many non-measurable values that describe the actual operating condition of batteries; such as state of charge (SOC) or state of health (SOH). In order to improve accuracy, many physical states and parameters can be estimated using physics-based models (PBMs). These estimates could be used to improve the control and
prognosis of batteries. In a series of papers, we propose a new method to estimate internal physical states, SOC, SOH and other electrode-specific state of health (eSOH) parameters of a lithium-ion battery, using interconnected sigma-point Kalman filters (SPKFs) and a single-particle model with electrolyte dynamics (SPMe). This second paper focuses on eSOH parameter estimation. Simulation
results show that the method is capable of estimating the eSOH parameters and key degradation modes that can occur inside a lithium-ion battery cell using only cell voltage and current measurements. [-]
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