Estimation of Lithium-ion Batteries'State Based on EKF and Linear Regression
Due to high energy density,long life,and low self-discharge rate,lithium-ion batteries are widely used in various fields of society and have become an important cornerstone of modern technology and social development.However,lithium-ion batteries contain complex electrochemical systems,making state detection difficult and harmful to the stability and reliability of the power supply system.The article combined EKF(Extended Kalman Filter)and linear regression to construct a state(including SOC and SOH)estimation model for some kind of portable lithium-ion batteries.Experimental verification showed that the model can effectively estimate SOC and SOH,with an average SOC estimation error of 1.54%and a maximum SOH estimation error of 2.73%.
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