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The SOC Estimation for power battery using KF method which parameters are updated by least square method
Tong Meng *,Pang Yingzhou #,Tian Jiantao
Construction Mechinery School,Chang'an University,710064
*Correspondence author
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Funding: none
Opened online:22 July 2014
Accepted by: none
Citation: Tong Meng,Pang Yingzhou,Tian Jiantao.The SOC Estimation for power battery using KF method which parameters are updated by least square method[OL]. [22 July 2014] http://en.paper.edu.cn/en_releasepaper/content/4604285
 
 
In this article we first introduced some methods for estimating battery's SOC and their advantages and shortcomings respectively.Then with experimatal data,we proved that battery model 's parameters are time viriant.So fixed parameter Kalman Filter will not suitable, then we come up with a new estimating algorithm named adaptive Kalman Filter(APKF),which associates two algorithms-Kalman Fliter and Least Square method. Kalman Filer estiamtes SOC of battery,while Least Square method updatas parameters used in Kalman Filter.At last we used battery's discharging data to test whether this new alorithm takes effect. And the results produced by Ah-counting method was viewed as a reference because of constant current discharging situation. Then according to the estimating results, the results using produced by APKF has much smaller deviation than that produced by fixed parameters Kalman Flier.
Keywords:SOC;Kalman Fliter;adaptive Kalman Filter;Least Square method;Ah-counting;model parameters
 
 
 

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