Lyapunov-Based Adaptive State of Charge and State of Health Estimation for Lithium-Ion Batteries

This paper presents an adaptive state of charge (SOC) and state of health (SOH) estimation technique for lithium-ion batteries. The adaptive strategy estimates online parameters of the battery model using a Lyapunov-based adaptation law. Therefore, the adaptive observer stability is guaranteed by Ly...

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Published inIEEE transactions on industrial electronics (1982) Vol. 62; no. 3; pp. 1610 - 1618
Main Authors Chaoui, Hicham, Golbon, Navid, Hmouz, Imad, Souissi, Ridha, Tahar, Sofiene
Format Journal Article
LanguageEnglish
Published IEEE 01.03.2015
Subjects
Adaptation models
Batteries
Estimation
Impedance
Integrated circuit modeling
System-on-chip
Voltage measurement
Lyapunov stability
lithium-ion batteries
Adaptive observer
state of charge (SOC)
state of health (SOH)
Online AccessGet full text
ISSN0278-0046
1557-9948
DOI10.1109/TIE.2014.2341576

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Abstract This paper presents an adaptive state of charge (SOC) and state of health (SOH) estimation technique for lithium-ion batteries. The adaptive strategy estimates online parameters of the battery model using a Lyapunov-based adaptation law. Therefore, the adaptive observer stability is guaranteed by Lyapunov's direct method. Since no a priori knowledge of battery parameters is required, accurate estimation is still achieved, although parameters change due to aging or other factors. Unlike other estimation strategies, only battery terminal voltage and current measurements are required. Simulation and experimental results highlight the high SOC and SOH accuracy estimation of the proposed technique.
AbstractList This paper presents an adaptive state of charge (SOC) and state of health (SOH) estimation technique for lithium-ion batteries. The adaptive strategy estimates online parameters of the battery model using a Lyapunov-based adaptation law. Therefore, the adaptive observer stability is guaranteed by Lyapunov's direct method. Since no a priori knowledge of battery parameters is required, accurate estimation is still achieved, although parameters change due to aging or other factors. Unlike other estimation strategies, only battery terminal voltage and current measurements are required. Simulation and experimental results highlight the high SOC and SOH accuracy estimation of the proposed technique.
Author Hmouz, Imad
Golbon, Navid
Tahar, Sofiene
Chaoui, Hicham
Souissi, Ridha
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  givenname: Imad
  surname: Hmouz
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  givenname: Ridha
  surname: Souissi
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  organization: Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
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lithium-ion batteries
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state of charge (SOC)
state of health (SOH)
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Snippet This paper presents an adaptive state of charge (SOC) and state of health (SOH) estimation technique for lithium-ion batteries. The adaptive strategy estimates...
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SubjectTerms Adaptation models
Batteries
Estimation
Impedance
Integrated circuit modeling
System-on-chip
Voltage measurement
Title Lyapunov-Based Adaptive State of Charge and State of Health Estimation for Lithium-Ion Batteries
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