Energies 2010, 3(2), 206-215; doi:10.3390/en3020206
Article

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

1,2,* email, 2email, 2email and 3email
Received: 18 December 2009; Accepted: 25 January 2010 / Published: 10 February 2010
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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.
Keywords: dynamic batteries; statistical method; battery model; resistance; open-circuit voltage
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MDPI and ACS Style

Piao, C.-H.; Fu, W.-L.; Lei, G.-H.; Cho, C.-D. Online Parameter Estimation of the Ni-MH Batteries Based on Statistical Methods. Energies 2010, 3, 206-215.

AMA Style

Piao C-H, Fu W-L, Lei G-H, Cho C-D. Online Parameter Estimation of the Ni-MH Batteries Based on Statistical Methods. Energies. 2010; 3(2):206-215.

Chicago/Turabian Style

Piao, Chang-hao; Fu, Wen-li; Lei, Gai-hui; Cho, Chong-du. 2010. "Online Parameter Estimation of the Ni-MH Batteries Based on Statistical Methods." Energies 3, no. 2: 206-215.

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