一种新型自适应滑模观测器锂电池SoC估计方法

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DOI：10.15938/j. emc.2025.05.012

中图分类号：TM912.8 文献标志码：A 文章编号：1007-449X（2025）05-0123-10

An improved adaptive sliding mode observer for SoC estimation of lithium battery

QIAN Wei 1，2 ，LI Wan¹， GUO Xiangwei1，²， WANG Haoyu1， ZHAO Dazhong 1 （1.School of Electrical Engineering and Automation，Henan Polytechnic University，Jiaozuo 454Oo3，China; 2.Henan KeyLaboratoryof Intelligent Detectionand Control of Coal Mine Equipment，Jiaozuo 4540O3，China）

Abstract：To reduce the chatering phenomenon in conventional sliding mode observers （CSMOs） for state of charge （SoC） estimation of lithium batery and improve estimation accuracy，a novel improved adaptive sliding mode observer （IASMO） was proposed. First， based on a dual polarization （DP） equivalent circuit model，a nonlinear terminal sliding surface was introduced to ensure the convergence of the objective function to the equilibrium point in finite time，while a continuous control rate was designed to decrease chatering in the estimation results. Second，to address modeling uncertainties，an adaptive switching gain function was developed，which adjusts automatically according to the sliding surface function，further enhancing the estimation accuracy and robustness of the algorithm. The convergence of the observer was proven using Lyapunov stability theory.Finally，based on the self-build experimental platform，battery data under different working conditions werecollcted，and a simulation model was built for verification. The experimental results indicate that the proposed ISMO has better estimation accuracy and better robustness than the CSMOs and currently mainstream types of improved sliding mode observers.

Keywords：SoC estimation; sliding mode observer; DP model; terminal sliding mode surface;adaptive switching gain

0引言

作为新能源汽车的核心储能部件，锂电池因其高能量密度与长循环寿命而受到广泛应用[1]。（剩余13991字）