RESEARCH ON SOC ESTIMATION OF LITHIUM-ION BATTERIES BASED ON WEIGHTED MULTI-INNOVATION IMPROVED Sage-Husa AEKF

Song Weihua; Liu Ranran; Jin Xiaona

doi:10.19912/j.0254-0096.tynxb.2025-0719

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 797-806. DOI: 10.19912/j.0254-0096.tynxb.2025-0719

RESEARCH ON SOC ESTIMATION OF LITHIUM-ION BATTERIES BASED ON WEIGHTED MULTI-INNOVATION IMPROVED Sage-Husa AEKF

Song Weihua¹, Liu Ranran², Jin Xiaona²

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Abstract

To address the accuracy issue of Extended Kalman Filter （EKF）in State of Charge （SOC） estimation for lithium-ion batteries, this study is based on a second-order RC equivalent circuit model and uses the Multi-Innovation Recursive Least Squares （MIRLS） algorithm for online identification of lithium-ion battery model parameters. On this foundation, we propose a Weighted Multi-innovation Improved Sage-Husa Adaptive Extended Kalman Filter（WMISAEKF） algorithm to resolve the issue of filter divergence caused by noise covariance updates. Furthermore, we introduce a novel weight calculation method that fully utilizes historical innovations and rationally allocates innovation weights, thereby achieving accurate SOC estimation. Simulation examples are used to validate the performance of the proposed improved SOC estimation algorithm. The results demonstrate that the improved algorithm exhibits strong convergence and robustness during the update process, achieving significant advancements in key error metrics. Compared to the EKF algorithm, the Mean Absolute Error （MAE） and Root Mean Square Error （RMSE） are decreased by 89.01% and 79.06%, respectively. This clearly confirms the substantial enhancement in SOC estimation accuracy for lithium-ion batteries provided by the proposed method, providing new practical support for extending battery lifespan.

Key words

lithium-ion batteries / state of charge / extended Kalman filter / weighted innovation / second-order RC model / parameter identification

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Song Weihua, Liu Ranran, Jin Xiaona. RESEARCH ON SOC ESTIMATION OF LITHIUM-ION BATTERIES BASED ON WEIGHTED MULTI-INNOVATION IMPROVED Sage-Husa AEKF[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 797-806 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0719

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