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

Energies

Chang-hao Piao¹  Wen-li Fu²  Gai-hui Lei² 

[1] Key Laboratory of Network control & Intelligent Instrument, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065 China;Research Center of Energy Electronics, College of Automation Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065 China; E-Mails:

关键词: dynamic batteries;    statistical method;    battery model;    resistance;    open-circuit voltage;   

DOI  :  10.3390/en3020206

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.