1) Based on the second-order THEVENIN Equivalent Circuit Model of the battery, this paper has designed adaptive elsencing karman filtering algorithms. The experiment verifies the accuracy of the adaptive elsewheld Calman filtering algorithm in two different current conditions, and the algorithm is not limited by the current condition, and the algorithm can identify the algorithm. Omhumoral resistance of the battery.2) This paper applies adaptive elsewheld Kalman filtering algorithm to identify the ohm achener of the time-shifting battery system, and then use internal resistance and battery SOH's functional relationship to estimate the battery's SOH, and verify its estimation accuracy by experiment. The algorithm is fast, high precision, and has good practicality.
3) This paper, by estimating the estimation of SOH and mean cell SOH of each single cell in a lithium ion battery group, a unqualified monomer battery, quantifying the battery pack, and explicitly formulates an electric vehicle power battery aging unit battery. Replace the maintenance scheme, realize the resource utilization of the waste power battery and verify the feasibility of the program.
4) Adaptive elsencing Kalman filtering algorithm can not only estimate the SOC and ohm internal resistance of the battery, on the basis of the battery model, the state space model is established for different parameters, and the polarization characteristics of the battery model can be achieved. Real-time online estimation.
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