State of health estimation for lithium ion batteries based on an equivalenthydraulic model: An iron phosphate application

Couto, Luis; Schorsch, Julien; Job, Nathalie; Léonard, Alexandre; Kinnaert, Michel

doi:10.1016/j.est.2018.11.001

Article (Scientific journals)

State of health estimation for lithium ion batteries based on an equivalenthydraulic model: An iron phosphate application

Couto, Luis; Schorsch, Julien; Job, Nathalie et al.

2019 • In Journal of Energy Storage, 21, p. 259-271

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/232502

DOI
10.1016/j.est.2018.11.001

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Keywords :

Li-ion battery; State estimation; State-of-charge; State-of-health; System identification

Abstract :

[en] A two-step approach for state-of-health (SOH) estimation of a lithium-ion (Li-ion) battery is developed. In the first step, state-of-charge (SOC) estimation is performed by a constrained extended Kalman filter (EKF) based on the so-called equivalent-hydraulic model. The latter model allows to characterize the internal battery state and main physical parameters while being suitable for on-line computation. The internal battery states are further exploited in the second step of the approach to obtain parameter-based SOH indicators that characterize the long term evolution of the diffusion and charge transfer processes associated to aging. Capacity and power fade indicators are determined by using notably an instrumental variable method in order to obtain unbiased parameter estimates in the presence of heteroscedastic colored noise. The methodology is validated on both simulation and experimental data for a lithium iron phosphate (LFP) half battery cell. This also provides insight on the properties of the LFP electrodes

Disciplines :

Materials science & engineering

Author, co-author :

Couto, Luis; Université Libre de Bruxelles - ULB > Department of Control Engineering and System Analysis

Schorsch, Julien; Université Libre de Bruxelles - ULB > Department of Control Engineering and System Analysis

Job, Nathalie ; Université de Liège - ULiège > Department of Chemical Engineering > Ingéniérie électrochimique

Léonard, Alexandre ; Université de Liège - ULiège > Department of Chemical Engineering > Ingéniérie électrochimique

Kinnaert, Michel; Université Libre de Bruxelles - ULB > Department of Control Engineering and System Analysis

Language :

English

Title :

State of health estimation for lithium ion batteries based on an equivalenthydraulic model: An iron phosphate application

Publication date :

2019

Journal title :

Journal of Energy Storage

ISSN :

2352-1538

eISSN :

2352-152X

Publisher :

Elsevier, Oxford, United Kingdom

Volume :

Pages :

259-271

Peer reviewed :

Peer Reviewed verified by ORBi

Name of the research project :

BATWAL

Available on ORBi :

since 04 February 2019

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