摘要
针对目前动力电池内部温度局部变化难以准确检测的现状,创新性将电阻层析成像(ERT)方法引入到电池内部温度检测中.为匹配动力电池温度检测的ERT系统参数,实验通过正交优化方法选取电极片厚度、电极片形状、激励电流、电极排列方式4个参数对数据含噪比、灵敏度、探测深度三大指标进行了试验分析,并利用层次分析法(AHP)确定综合评分指标.极差分析中,电极排列方式极差最大,对试验结果影响最大,电极片形状影响程度次之;方差分析中,在置信水平95%以上,电极排列方式和电极片形状对试验结果均有显著影响,激励电流影响较小,而电极片厚度影响可忽略;对比不同组反演图像,进一步直观验证了定量分析的试验结果.结果表明采用施伦贝尔排列、圆形电极、2.6m A激励电流的组合,可优化动力电池内部温度检测的ERT系统性能,确保ERT方法在电池内部温度检测方面的准确性与适用性,为ERT在动力电池组的安全特性、寿命预测、负载控制等方面的研究提供基础.
Electrical Resistance Tomography（ ERT） technique is an innovative method applied to the local cell temperature measurements,which can hardly be measured accurately. To match the parameters of ERT system used for power battery,different factors including electrode thickness,electrode shape,excitation current and electrode array,were investigated using orthogonal optimization method. Analytic Hierarchy Process（ AHP） was applied to obtain the comprehensive index from data noise ratio,sensitivity and detection depth. In range analysis,electrode array is the greatest impact on the results,and the electrode shape is the second major factor. In variance analysis,when the confidence level keeps at 95% or above,the electrode array and electrode shape have a significantly effect on the test results,the exciting current has a lesser impact and the effect of electrode thickness can be ignored. Finally,by comparing the inversion images of different test groups,the result of quantitative analysis was further verified.The combination of Schlumberger array,circular electrode,and excitation current of 2. 6m A,can largely improve ERT system performance for local cell temperature measurements and ensure the feasibility and accuracy of the ERT method,which lays a good foundation for ERT researches on security features,life prediction and load control of power battery.
出处
《应用基础与工程科学学报》
EI
CSCD
北大核心
2015年第3期562-573,共12页
Journal of Basic Science and Engineering
基金
港澳关键领域重点突破项目(2012A090200005)
佛山市科技创新平台建设项目(2013GQ100145)
佛山市院市合作项目(2014HK100265)
华南理工大学中央高校基本科研业务费项目(2014ZG0016)
关键词
电阻层析成像
正交试验
多参数优化
动力电池
Electrical Resistance Tomography
orthogonal experiment
multi-parameter optimization
power battery
