科技创新与应用2024，Vol.14Issue(13)：78-81,4.DOI:10.19981/j.CN23-1581/G3.2024.13.019
基于等效电路与数据驱动模型的锂离子动力电池SOC估计技术
摘要
Abstract
In this paper,the second-order equivalent circuit model is used as the battery operating characteristic description model,and the untracked Kalman filter algorithm and the SR-AUKF algorithm based on Sage-Husa adaptive filtering idea are respectively used to estimate the SOC value of lithium batteries.The SOC estimation and absolute error curves of the two algorithms are compared and analyzed using different initial values and different noise variance.Then,under the data-driven model,the gated cyclic unit neural network algorithm is used to estimate SOC separately,and then based on the untracked Kalman filter algorithm,the SOC estimation results and absolute errors of the two algorithms in different working and temperature conditions are compared,and the best algorithm for SOC estimation of lithium-ion power battery under equivalent circuit model and data-driven model is obtained.关键词
等效电路模型/数据驱动模型/锂离子动力电池/SOC估计/绝对误差曲线Key words
equivalent circuit model/data-driven model/lithium-ion power battery/SOC estimation/absolute error curve分类
信息技术与安全科学引用本文复制引用
张志,白书华,何柏青,黄金亮,张文展..基于等效电路与数据驱动模型的锂离子动力电池SOC估计技术[J].科技创新与应用,2024,14(13):78-81,4.基金项目
江西省自然科学基金项目(20212BAB202025) （20212BAB202025）
