應用無跡卡爾曼濾波算法（UKF）進行鋰電池的SOC估計,采用Thevenin二階RC等效電路模型,對HPPC電池脈沖充放電實驗數據進行Matlab處理,得到較為準確的模型.通過在Matlab中編寫算法程序,對不同工況的估計值與實際值進行誤差估算及對比分析,通過此算法進行SOC估計,得到該算法可有效降低系統(tǒng)誤差并糾正SOC的初值偏差.The non trace Calman filter （UKF） is applied to the SOC estimation of lithium battery. The Thevenin two order RC equivalent circuit model is used to process the HPPC battery pulse charge discharge experimental data by Matlab processing, and a more accurate model is obtained. By writing algorithm program in Matlab, the error estimation and comparison analysis of the estimated value and actual value of different states are carried out, and the SOC estimation is carried out by this algorithm. The algorithm can effectively reduce the system error and correct the initial value deviation of the SOC.
標簽：
卡爾曼濾波
上傳時間：
2022-05-03
上傳用戶：默默
