State of charge estimation of lithium-ion batteries using a grey extended Kalman filter and a novel open-circuit voltage model

In this study a grey extended Kalman filter and a novel open-circuit voltage model for the estimation of the state of charge of lithium-ion batteries are presented. To eliminate the influence of truncation error, this study utilizes a grey prediction model to deal with the state prediction problem....

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Bibliographic Details
Published in:Energy (Oxford) 2017-11, Vol.138, p.764-775
Main Authors: Pan, Haihong, Lü, Zhiqiang, Lin, Weilong, Li, Junzi, Chen, Lin
Format: Article
Language:English
Subjects:
Batteries
Error analysis
Extended Kalman filter
First-order resistor–capacitor model
Grey prediction
Grey prediction model
Hermite interpolating
Influence
Interpolation
Ion charge
Lithium
Lithium-ion batteries
Mathematical models
Mechanical loading
Model accuracy
Open circuit voltage
Open-circuit voltage model
Rechargeable batteries
State of charge
Studies
Voltage
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Summary:In this study a grey extended Kalman filter and a novel open-circuit voltage model for the estimation of the state of charge of lithium-ion batteries are presented. To eliminate the influence of truncation error, this study utilizes a grey prediction model to deal with the state prediction problem. In order to further improve the accuracy of state of charge estimation, a novel open-circuit voltage model based on cubic-Hermite interpolation is also proposed to update the state estimate. Moreover, the accuracy of the proposed open-circuit voltage model is verified in terms of the following two aspects: capacity estimation and state of charge estimation. The accuracy and convergence of the grey extended Kalman filter is analyzed for different types of dynamic loading conditions, including the Urban Dynamometer Driving Schedule and the New European Driving Cycle. The experimental results show that the proposed approach offers good accuracy for the estimation of the state of charge. The experimental results show good agreement with the estimation results, and the proposed method can effectively improve the accuracy of extended Kalman filter. •A novel open-circuit voltage model is proposed.•A new grey extended Kalman filter is proposed.•The proposed open-circuit voltage model is validated from different perspectives.•The proposed grey extended Kalman filter against varying loading profiles is evaluated by statistical methods.
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2017.07.099