基于电阻层析成像的汽车动力电池内部温度监测

洪晓斌; 李年智; 尹文伟; 孔庆钊; 刘桂雄

doi:10.3788/OPE.20142201.0193

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基于电阻层析成像的汽车动力电池内部温度监测

信息科学 | 更新时间：2020-08-13

- 基于电阻层析成像的汽车动力电池内部温度监测
- Monitoring of internal temperature of vehicle power battery based on electrical resistance tomography
- 光学精密工程 2014年22卷第1期页码：193-203
- 作者机构：
  
  1. 华南理工大学机械与汽车工程学院,广东广州,510640
  2. #br# 2.美国休斯敦大学机械工程学院, 美国德克萨斯州休斯敦,77204
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No. 51305141)();广东省中国科学院全面战略合作项目(No. 2012B091100224)();中央高校基本科研业务费资助滚动项
- DOI：10.3788/OPE.20142201.0193
  中图分类号： U463.63
- 收稿日期：2013-04-22，
  
  纸质出版日期：2014-01-15
- 稿件说明：
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洪晓斌, 李年智, 尹文伟等. 基于电阻层析成像的汽车动力电池内部温度监测[J]. 光学精密工程, 2014,22(1): 193-203

HONG Xiao-bin, LI Nian-zhi, YIN Wen-wei etc. Monitoring of internal temperature of vehicle power battery based on electrical resistance tomography[J]. Editorial Office of Optics and Precision Engineering, 2014,22(1): 193-203
洪晓斌, 李年智, 尹文伟等. 基于电阻层析成像的汽车动力电池内部温度监测[J]. 光学精密工程, 2014,22(1): 193-203 DOI： 10.3788/OPE.20142201.0193.

HONG Xiao-bin, LI Nian-zhi, YIN Wen-wei etc. Monitoring of internal temperature of vehicle power battery based on electrical resistance tomography[J]. Editorial Office of Optics and Precision Engineering, 2014,22(1): 193-203 DOI： 10.3788/OPE.20142201.0193.

摘要

为了直观地在线检测动力电池的温度

以确保动力电池的安全

提出了一种基于电阻层析成像的动力电池内部温度监测新方法。引入温纳-施伦贝尔装置模型分析电池内部温度检测机理

推导了电池内部温度与电阻率的数学关系;应用抑制平滑度最小平方法将多电极检测大数据进行图像反演重建

实现了对动力电池内部温度异变区的动态监测

并搭建了实验平台。文中通过建立相交区域试验模型

实验分析动力电池内部的电阻率静态分布

并验证方法可靠性。然后

实验分析动力电池内部电阻率的动态分布

得到45.5℃时反演图像色带差值增大了2.5倍

且坐标(0.047

0.000 5)内色带变化明显。最后

动态跟踪异变区临界温度。结果显示

在0.173 m处突变骤升

电池内部产生异变。得到的结果表明

提出的方法可直观可靠地监测动力电池内部温度动态变化;可为动力电池的安全特性、寿命预测、负载控制等提供新的研究途径。

Abstract

A novel method to monitoring the internal temperature of a power battery was proposed based on the Electrical Resistance Tomography(ERT) to complement the temperature measurement in online and to insure the safety of the power battery. Through introducing the Wenner-Schlumberger model in the ERT

the relationships between the internal temperatures and the resistivity of power battery were deduced. And by using the smoothness-constrained least-square method to invert the images of multi-electrode tomographic detection data

the internal abnormal temperature regions were monitored dynamically and a test platform was established. To validate the reliability of this new method

an intersection region model was established to analyze the static distribution of internal resistivity of the power battery. Then

dynamic resistivity distribution was analyzed in five different temperatures. The analysis shows that the color ribbon difference in the inversion image increases by 2.5 times in 45.5 ℃ as compared to those of other four tests

especially at coordinates (0.047

0.000 5)

which changes significantly. Finally

dynamic tracking critical temperature in mutational area shows that the resistivity rebounds suddenly at 0.173 m

which indicates that a mutation occurs in the battery. These results demonstrate that the proposed method not only offers a visual and reliable monitoring result of internal temperature changes for the power battery

but also can provide a new research pathways for the power battery

such as safety characteristics

life prediction

and load control.

关键词

Keywords

references

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