Journal
APPLIED ENERGY
Volume 207, Issue -, Pages 384-393Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2017.07.003
Keywords
Lithium-ion battery; Electrochemical impedance spectroscopy; Battery model; State of charge; Fractional order unscented Kalman filter
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Funding
- National Natural Science Foundation of China [51507012]
- Beijing Municipal Science and Technology Project [Z171100000917013]
- Sino-polish Collaborative research in e-mobility public transportation [2015DFG81930]
- Application and Demonstration of Innovative Methods in New Energy Vehicle Industry [2015IM030100]
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Accurate state of charge estimation of lithium-ion battery is directly related to the safe operation of electric vehicles and also an indispensable function of the battery management system. Four aspects of efforts are made to improve the estimation accuracy. First, for overcoming the drawbacks of equivalent circuit model and electrochemical model, the fractional order impedance model is built via electrochemical impedance spectroscopy data and the fractional element is used to describe the polarization effect in a simple and meaningful way. Second, the discrete state-space equations of the impedance model are inferred by Grtinwald-Letnikov definition and parameters of the model including the order of the fractional element are identified together by genetic algorithm (GA) and the experiment data of the dynamic driving cycles. Third, the fractional order unscented Kalman filter technique is presented and the 'short memory' technique is employed to improve the computation efficiency of fractional operator. Lastly, experimental validation is implemented to verify the effectiveness of the proposed approach and results show that the SoC estimation accuracy can be improved by the proposed model and estimation method. The estimation error can be controlled within the range of 3%. (C) 2017 Elsevier Ltd. All rights reserved.
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