Online Estimation of Battery Pack Capacity Based on Dual Driven Method of Data and Model

doi:10.3901/JME.2025.02.210

Abstract

Abstract: Accurate battery pack capacity estimation is of great significance for the safe and efficient operation of electric vehicles. The aging of the battery pack causes the capacity attenuation of the cells and the increase in the inconsistency between cells. Therefore, it is very important to achieve accurate online estimation of battery pack capacity under the premise of considering cell inconsistency. To this end, a data-model dual-driven battery pack capacity online estimation method is proposed. Firstly, the peak height and area of the incremental capacity curve are extracted as aging characteristics, and a cell capacity estimation model based on hybrid nuclear correlation vector machine is established. The mean relative error is 0.72% and the root mean square error is 0.91%. Secondly, considering the problem of the loss of charging capacity caused by the internal resistance of the cell, an online estimation method of the charging capacity based on the Adaptive Dual Extended Kalman Filter algorithm is proposed. Under the premise of considering the degradation of cell capacity and the increase of internal resistance at the same time, the remaining charging electric quantity of the battery pack is predicted, and the root mean square error is only 0.06 A·h. Finally, combined with the open-circuit voltage-remaining charging electric quantity/discharging electric quantity curve under different aging states, the minimum charging electric quantity and the minimum discharging electric quantity characteristic cell are determined, and the estimated cell capacity is used as the input to estimate the electric quantity based on the ADEKF algorithm. The battery pack capacity value is calculated accurately and its maximum error is less than 2%.

Key words: battery pack capacity, chargeable quantity, incremental capacity, relevance vector machine, adaptive dual extended Kalman filter

CLC Number:

TM912

ZHANG Ying, KANG Yongzhe, DUAN Bin, ZHANG Chenghui, DU Chunshui. Online Estimation of Battery Pack Capacity Based on Dual Driven Method of Data and Model[J]. Journal of Mechanical Engineering, 2025, 61(2): 210-221.

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