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Online Parameter Estimation of the Ni-MH Batteries Based on Statistical Methods

Based on the application of the power batteries, this paper uses a statistical method to estimate the internal resistance and open-circuit voltage of Ni-MH battery. Battery status is monitored and simulated by battery pack test bench. Through using ideal battery model and fitting the data of measure...

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Bibliographic Details
Published in:Energies (Basel) 2010-02, Vol.3 (2), p.206-215
Main Authors: Piao, Chang-hao, Fu, Wen-li, Lei, Gai-hui, Cho, Chong-du
Format: Article
Language:English
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Summary:Based on the application of the power batteries, this paper uses a statistical method to estimate the internal resistance and open-circuit voltage of Ni-MH battery. Battery status is monitored and simulated by battery pack test bench. Through using ideal battery model and fitting the data of measured voltage and current, the battery internal resistance and open-circuit voltage are estimated. The average relative error between battery statistic internal resistance and pulse internal resistance is less than 15% in different state of charge. Relative error is influenced by dispersion and symmetry of charge or discharge current. Average of absolute error in open-circuit voltage is about 5% respectively. The results show that it is feasible and accurate to estimate the parameters of Ni-MH battery by using statistical method.
ISSN:1996-1073
1996-1073
DOI:10.3390/en3020206