A Fractional Impedance Model for Charge State Estimation of Lithium Battery

doi:10.7652/xjtuxb201508021

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A Fractional Impedance Model for Charge State Estimation of Lithium Battery

更新时间：2025-07-09

- A Fractional Impedance Model for Charge State Estimation of Lithium Battery
- Vol. 49, Issue 8, Pages: 128-132(2015)
- 作者机构：
  
  西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201508021
  CLC： TM912.8
- Online First：10 August 2015，
  
  Published：2015
- 稿件说明：
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A Fractional Impedance Model for Charge State Estimation of Lithium Battery[J]. 2015, 49(8): 128-132.
DOI：

A Fractional Impedance Model for Charge State Estimation of Lithium Battery[J]. 2015, 49(8): 128-132. DOI： 10.7652/xjtuxb201508021.

摘要

针对电动汽车动力锂电池的充电状态估计问题

提出一种基于锂电池电化学阻抗谱的分数阶阻抗模型。该模型通过对不同频率下的锂电池电化学阻抗谱进行分析

归一化为一种简单的等效电路

引入分数阶建模思想

设计与分数阶阻抗模型相适应的分数阶卡尔曼滤波器

利用锂电池HPPC测试对该模型进行参数辨识

使用Simulink软件对锂电池的工作电压以及充电状态进行仿真

并将仿真结果与测试结果进行对比分析。分析结果表明:利用所建立的分数阶阻抗模型对锂电池工作电压进行估计

其误差可以稳定在0.05 V以内; 对初始状态未知的锂电池的充电状态进行估计

其误差可以有效地稳定在2%以内。所建立的分数阶阻抗模型可以准确地预测锂电池的充电状态

可为电动汽车动力电池管理系统提供有效的状态估计。

Abstract

A fractional impedance model based on the electrochemical impedance spectroscopy of lithium batteries is proposed to focus on the charge state estimation problem of the EV power lithium-ion batteries. A relatively simple equivalent circuit is derived from EIS analysis under different frequency and the introduction of fractional order modeling

and a fractional Kalman filter is designed according to the fractional impedance model. Parameters of the model are identified from the HPPC test data. The software SIMULINK is used to simulate the working voltage and charge state of the lithium battery and the simulation results are compared with test results. Comparison results show that the proposed model accurately predicts the working voltage

and its error range is within 0.05 V

and the charge state estimation has an error range of 2%. Results show that the fractional impedance model can accurately predict charge state of lithium batteries

and provides effective state estimations for EV power battery management system.

关键词

Keywords

references

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