基于非线性拟合的电池剩余容量预测  

Prediction of battery residual discharge capacity based on nonlinear fitting

作　　者：吴杰[1] 陈辉[1] WU Jie;CHEN Hui(Anhui Business College of Vocational Technology,Wuhu Anhui 241002,China)

机构地区：[1]安徽商贸职业技术学院基础教学部,安徽芜湖241002

出　　处：《蓄电池》2021年第3期123-127,共5页Chinese LABAT Man

基　　金：空气质量监测数据预测与校准研究(2021KYZ06);数学建模与数学试验(2020kfkc204);长江角一体化战略下环境规制、技术创新与安徽省经济绿色发展研究(SK2020A0828)。

摘　　要：通过对恒定电流强度下的放电曲线进行非线性拟合,得出了不同放电电流下的电池放电规律。结合误差,增加误差震荡函数,对放电模型进行改进。在确保高精度的MRE下,构建了任一恒定电流强度放电时的放电曲线模型。针对同一电池在不同衰减状态下以同一电流强度放电,建立多元线性自回归模型。通过多次自回归,拟合出最佳的放电曲线。By nonlinear fitting of the discharge curve under constant current intensity,the battery discharge law under different discharge current was obtained.The discharge model was improved by adding the error oscillation function.Under the condition of high precision MRE,the discharge curve model of any constant current intensity discharge is constructed.A multivariate linear autoregressive model was established for the same battery discharging at the same current intensity under different attenuation states.The optimal discharge curve was fitted by multiple autoregressions.

关 键 词：非线性拟合 误差 震荡函数 多元线性回归 衰减 电流强度 放电 电池 

分 类 号：TM912.9[电气工程—电力电子与电力传动]