基于ANFIS的磷酸铁锂电池循环寿命预测方法  

Cycle life prediction method of lithium iron phosphate battery based on ANFIS

作　　者：张宁[1] 汤建林 彭发豫 李剑 ZHANG Ning;TANG Jianlin;PENG Fayu;LI Jian(College of Weaponry Engineering,Naval University of Engineering,Wuhan Hubei 430033,China;PLA Army 91024,Jiangmen Guangdong 529000,China;PLA Army 92840,Qingdao Shandong 266405,China)

机构地区：[1]海军工程大学兵器工程学院,湖北武汉430033 [2]解放军91024部队,广东江门529000 [3]解放军92840部队,山东青岛266405

出　　处：《电源技术》2021年第5期595-597,618,共4页Chinese Journal of Power Sources

基　　金：“十三五”预研基金项目(302060503)。

摘　　要：针对磷酸铁锂电池循环寿命在使用过程中难以预测的问题,通过神经模糊逻辑系统对锂电池循环寿命变化的历史数据进行学习,建立以循环次数、温度、电池容量为输入,相邻循环电池容量差值为输出的电池容量变化模型,通过得到锂电池容量变化趋势,从而实现对锂电池循环寿命的预测,最后,将锂电池循环寿命预测结果与实际数据进行对比,验证该方法的有效性。Aiming at the problem that it is difficult to predict the cycle life of the lithium-iron phosphate battery during use,the historical data of the lithium battery cycle life change is learned through a neural fuzzy logic system.A battery capacity change model was established with the number of cycles,temperature and battery capacity as inputs and the capacity difference between adjacent cycles as outputs.Finally,the lithium battery cycle life prediction result is compared with actual data to verify the validity of the method.

关 键 词：神经模糊逻辑系统 循环寿命 磷酸铁锂电池 

分 类 号：TM912[电气工程—电力电子与电力传动]