Method for Estimation of State of Charge and Power Prediction of Lithium-Ion Battery
Cheng Ze1， Sun Xingmian1， Cheng Silu2，
1.School of Electrical and Information Engineering Tianjin University Tianjin 300072 China 2.Institute of microelectronics Tianjin University Tianjin 300072 China
Abstract：In order to estimate the state of charge (SOC) of lithium-ion battery precisely and predict the actual maximum charge/discharge power of the battery,a second-order RC hysteresis model was established based on the hysteresis phenomena which appeared during the charge-discharge process.The H∞ filter algorithm was used to estimate SOC,which avoided the error caused by the statistical characteristics of noise.This method greatly reduces the model error and algorithm error,and improves the robustness of parameter estimation.Regard the battery voltage,current and the estimation of SOC as constraint conditions to predict the actual maximum charge-discharge power of the lithium-ion battery.Compared with the hybrid pulse power characterization (HPPC) method,the pulse charge-discharge experiments showed that the method proposed had higher accuracy in estimating the battery power.
程泽，孙幸勉，程思璐. 一种锂离子电池荷电状态估计与功率预测方法[J]. 电工技术学报, 2017, 32(15): 180-189.
Cheng Ze， Sun Xingmian， Cheng Silu，. Method for Estimation of State of Charge and Power Prediction of Lithium-Ion Battery. Transactions of China Electrotechnical Society, 2017, 32(15): 180-189.
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2017, Vol. 32 
