纯电动汽车动力电池温度预测模型实验研究  

Experimental study on temperature prediction model of electric vehicle power battery

作　　者：魏国强 高兰芳 Wei Guoqiang;Gao Lanfang(Henan Zhumadian Finance and Economics School,Zhumadian 463000,China)

机构地区：[1]河南省驻马店财经学校

出　　处：《电子测量技术》2019年第9期93-97,共5页Electronic Measurement Technology

基　　金：国家自然科学基金(50874114);河南省教育厅自然科学基础研究项目(2008A630064)资助

摘　　要：温度是影响动力电池寿命和安全性能的一个重要因素,在复杂的行驶工况下,对车载动力电池的温度预测控制显得非常重要。针对纯电动汽车动力电池温度测量精确度下降的问题,分别采集了车辆在FTP75和UDDS两种典型行驶工况下的温度数据,在动力电池热动力学模型的基础上,采用基于参数模型的广义预测控制算法,建立了纯电动汽车整车模型以及动力电池温度精确预测模型,并搭建了动力电池温度测量实验台架,试验结果表明,在车辆FTP75和UDDS两种典型行驶工况,模型预测温度与实际温度的误差极小,广义预测控制算法模型满足了车用动力电池温度精确预测的目标需求。Temperature is an important factor affecting the life and safety performance of power batteries.Under complex driving conditions,temperature prediction control of vehicle power batteries is very important.Aiming at the problem of the accuracy measurement of the temperature measurement of the pure electric vehicle power battery,the temperature data of the vehicle under the typical driving conditions of FTP75 and UDDS are collected respectively.Based on the thermodynamic model of the power battery,the parameter model based generalization is adopted.The predictive control algorithm establishes the vehicle model of pure electric vehicle and the accurate prediction model of power battery temperature,and builds a test bench for power battery temperature measurement.The test results show that the model predicts the temperature in two typical driving conditions of vehicle FTP75 and UDDS.The error with the actual temperature is very small,and the generalized predictive control algorithm model satisfies the target demand for accurate prediction for the temperature of vehicle power battery.

关 键 词：温度 动力电池 广义预测控制 预测模型 

分 类 号：TN701[电子电信—电路与系统]