基于双扩展卡尔曼滤波的内部参数不一致锂离子电池组充电状态和健康状态估计

IF 2.7 4区 工程技术 Q3 ELECTROCHEMISTRY
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引用次数: 0

摘要

锂离子电池(LIB)储能系统在运行过程中,由于老化程度不同,可能会导致电池内部参数不一致,热效应也会威胁到系统的安全。基于二阶电阻-电容(2-RC)等效电路模型(ECM)和双扩展卡尔曼滤波(DEKF)算法,建立了考虑热效应的参数不一致的LIB电池组电学仿真模型,其中使用DEKF估计充电状态(SOC)和健康状态(SOH),通过热模块计算温度。仿真结果表明,DEKF算法对电池状态和参数估计具有良好的效果,电压的均方根误差(RMSE)小于0.01 V, SOC的平均误差(MAE)小于1.50%,SOH误差为3.37%。此外,热模块可以对电池组温升不一致的情况进行准确估计,模型计算温度与实验温度的MAE不超过6.60%。本文为LIB储能系统电热联合仿真模型的放大提供了基础数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State of charge and state of health estimation of lithium-ion battery packs with inconsistent internal parameters using dual extended Kalman filter
The internal battery parameters of the lithium-ion battery (LIB) energy storage system may be inconsistent due to different aging degrees during the operation, and the thermal effect can also threaten the safety of the system. In this paper, based on the second-order resistor-capacitor (2-RC) equivalent circuit model (ECM) and the dual extended Kalman filter (DEKF) algorithm, an electrical simulation model of a LIB pack with inconsistent parameters considering the thermal effect is established, in which state of charge (SOC) and state of health (SOH) are estimated using DEKF while the temperature is calculated by a thermal module. The simulation results show that the DEKF algorithm has a good effect on battery state and parameter estimation, with the root mean square error (RMSE) of voltage is lower than 0.01 V and SOC mean average error (MAE) is below 1.50 % while SOH error is 3.37 %. In addition, the thermal module can provide an accurate estimation on the inconsistent temperature rise of the battery pack, and the MAE between the model-calculated temperature and the experiment is no more than 6.60 %. This paper provides the basic data for the scale-up of the electrothermal co-simulation model of the LIB energy storage system.
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来源期刊
CiteScore
4.90
自引率
4.00%
发文量
69
期刊介绍: The Journal of Electrochemical Energy Conversion and Storage focuses on processes, components, devices and systems that store and convert electrical and chemical energy. This journal publishes peer-reviewed archival scholarly articles, research papers, technical briefs, review articles, perspective articles, and special volumes. Specific areas of interest include electrochemical engineering, electrocatalysis, novel materials, analysis and design of components, devices, and systems, balance of plant, novel numerical and analytical simulations, advanced materials characterization, innovative material synthesis and manufacturing methods, thermal management, reliability, durability, and damage tolerance.
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