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

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

1 Key Laboratory of Network control & Intelligent Instrument, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065 China 2 Research Center of Energy Electronics, College of Automation Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065 China 3 Department of mechanical Engineering, INHA University of Korea, Incheon, 402751, Korea
* Author to whom correspondence should be addressed.
Received: 18 December 2009; Accepted: 25 January 2010 / Published: 10 February 2010
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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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