一种基于卡尔曼的锂电池电压采样滤波方法  

Voltage Sampling and Filtering Method for Lithium Battery Based on Kalman Filtering Algorithm

作　　者：陈蕾[1] 王顺利[1] 张丽[1] 袁斌 阮永利 CHEN Lei;WANG Shun-li;ZHANG Li;YUAN Bin;RUAN Yong-li(College of Information Engineering,Southwest University of Science and Technolog)

机构地区：[1]西南科技大学信息工程学院

出　　处：《化工自动化及仪表》2018年第7期564-566,共3页Control and Instruments in Chemical Industry

基　　金：国防基础科研计划项目(B3120133002);四川省科技厅重点研发项目(2017FZ0013);四川省教育厅科研项目(17ZB0453);绵阳市科技局科技攻关项目(15G-03-3)

摘　　要：通过分析卡尔曼滤波基本原理,研究高斯白噪声对电压估计值的影响,从而实现对锂电池单体电压信号的有效检测,并采用Matlab结合卡尔曼滤波算法对锂电池组单体电压采样值进行滤波处理,结果表明:去噪后的锂电池组采样电压误差范围由原来的±0.17%减小至±0.06%,滤波去噪效果显著。Through analyzing basic principle of Kalman filtering and investigating the influence of Gauss white noise on the voltage estimated,the effective detection of single voltage signal of the lithium battery was realized. Adopting Matlab software and combing it with Kalman filter thought to process the monomer voltage＇s sampling value of the lithium battery was implemented to show that,the de-noised voltage value＇s error range of the lithium battery pack can be reduced from the original ± 0. 17% to ± 0. 06% along with obvious de-noising and filtering effects.

关 键 词：锂电池 卡尔曼滤波 电压采样 采样精度 高斯白噪声 误差分析 

分 类 号：TH865[机械工程—仪器科学与技术]