电测与仪表Issue(14)：118-123,6.
模糊神经网络专家系统在动力锂电池组故障诊断中的应用
Fuzzy neural network expert system for fault diagnosis in power lithium battery application
摘要
Abstract
The cause of power lithium battery failure has a certain complexity and uncertainty.To this end,this paper proposes a fault diagnosis expert system based on fuzzy neural network.This method combines the advantages of fuzzy mathematics,neural network and expert system.Using fuzzy mathematics can be blurred to characterize the member-ship degree of the fault symptoms,the neural network has good self-learning ability,the expert system has strong rea-soning ability,All three together,that is not only to improve the accuracy of the system and operability,but also meet the requirement of the intelligent and automatic diagnosis for faults.The test results show that the method can accurate-ly judge the fault in the system,it not only to increase the accuracy of fault detection to 0.001,control the prediction error at between 1%and 8%, but also shorten the testing time.This method improves the self-adaptive ability of the power lithium batteries, the independent learning ability, and puts forward a new scientific and efficient method for power lithium battery fault diagnosis.关键词
模糊/神经网络/动力锂电池/故障诊断/专家系统Key words
fuzzy/neural network/power lithium battery/fault diagnosis/expert system分类
信息技术与安全科学引用本文复制引用
王一卉,姜长泓..模糊神经网络专家系统在动力锂电池组故障诊断中的应用[J].电测与仪表,2015,(14):118-123,6.基金项目
吉林省科技发展计划项目 （）
