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Comparative study of lithium-ion battery open-circuit-voltage online estimation methods

Content Provider	IET Digital Library
Author	Meng, Jianwen Boukhnifer, Moussa Diallo, Demba
Abstract	As an important property and distinct characteristic of different lithium-ion batteries, open-circuit-voltage (OCV) online estimation can provide useful information for battery monitoring and fault diagnosis. However, studies dedicated to battery OCV estimation are not as much as the research efforts on state-of-charge determination and parameter identification such as capacity and resistance. Hence, a general discussion for selecting the battery OCV estimation algorithm is proposed in this study. To this end, modelling process of extended state-space model and autoregressive exogenous model is presented in detail. Four estimation algorithms, namely, Luenberger observer, Kalman filter, recursive least-square with forgetting factor and recursive least-square with variable forgetting factor are selected and compared in terms of estimation accuracy, computational cost, parameter tuning and robustness to parameter variations. Based on real battery cell parameters and environmental conditions, simulation results have shown that even if they are less robust to model uncertainty, observer-based methods exhibit better estimation performances than regression-based ones.
Starting Page	162
Ending Page	169
Page Count	8
ISSN	20429738
Volume Number	10
e-ISSN	20429746
Issue Number	Issue 2, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-est/10/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-est.2019.0026
Journal	IET Electrical Systems in Transportation
Publisher Date	2019-10-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autoregressive Exogenous Model Autoregressive Processes Battery Cell Parameter Battery Management System Battery Monitoring Battery OCV Estimation Algorithm Computational Cost Environmental Condition Estimation Accuracy Estimation Algorithm Extended State-Space Model Fault Diagnosis Kalman Filter Least Squares Approximation Lithium Compound Lithium-ion Battery Open-circuit-voltage Online Estimation Method Luenberger Observer Modelling Process Observers Parameter Identification Probability Theory Recursive Estimation Recursive Least-square Secondary Cell State Space Method State-of-charge Determination Statistics Stochastic Linearised SCUC Variable Forgetting Factor
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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