SOC estimation for Li-ion battery used by temperature adaptive SMO algorithm
Existing estimation of the state of charge(SOC)of Li-ion battery does not take into account the reduced accuracy of SOC estimation due to temperature variations.A sliding mode observation(SMO)method considering temperature is proposed for SOC estimation.Based on the data of the hybrid pulse power testing(HPPC)experiments,the fitting equations between the SOC of 18650 type LiFePO4 Li-ion batteries and the temperature and parameters are obtained,and analyzed by semi-physical experiments with the Typhoon system.The average error of the temperature-adaptive SMO algorithm is reduced by 0.3-0.5 percentage points compared with the traditional SMO algorithm under low or normal temperature conditions,and the average error of the SOC quickly estimated directly by the fitting equation is about 2%compared with that of the temperature-adaptive SMO algorithm,and the error is less than 1%under the normal temperature of 25℃,which is able to realize a higher estimation accuracy and provide a good algorithm reference for the quick estimation of SOC.
state of charge(SOC)estimationsliding mode observer(SMO)temperature influenceLi-ion batterysemi physical experimental analysis
万方数据
维普
