Study On Fuzzy Integral And Control Theory And Its Application In Health Degree Of Lithium Battery

Fuzzy mathematics is an emerging hot application discipline,although it has a relatively short period of time,in which the theory of fuzzy operators,fuzzy probability points and fuzzy control has also been rapidly developed in recent years.Thus,the fuzzy probability integral and control theory as the key content of this article.The research content is divided into the following steps:1.Based on t-norm and s-norm,a pair of β fuzzy similarity operators and β fuzzy quasi-multiplication operators are designed in this paper.Two fuzzy operators have the advantages of adjustable parameters,which play a certain role in optimizing the original Einstein operator.Then,a fuzzy non-additive measure space is established,in which it is proved that fuzzy non-additive measure satisfies fuzzy addable.Under this premise,the fuzzy quasi-multiplication probability integral is defined,and its satisfying theorem is proved.2.The internal system of lithium battery is relatively complicated,so the evaluation of lithium battery’s health is also complicated.This paper adopts the idea of fuzzy fitting operator probability integral to evaluate lithium battery’s health.By randomly selecting a number of lithium batteries,seven factors that affect the health of lithium batteries are selected: voltage,DC internal resistance,capacity,efficiency,discharge time,self-discharge rate and high-temperature discharge capacity,and the corresponding data are collected.The fuzzy fitting probability integral defined in Chapter 2 is applied to the evaluation of lithium batteries’ health,and the evaluation matrix is established,which overcomes the limitations of too single selection of evaluation factors and insufficient conditions,and can directly obtain the results of lithium batteries’ health after the evaluation.3.The traditional extended Kalman filter method for lithium battery health research has some defects,and the experimental results are not ideal.Therefore,this paper first improves the coefficient of Li Hongxing’s variable universe expansion factor,and redesigns the random variable universe expansion factor.It is verified that the expansion performance of the designed expansion factor is better than the previous one.Then,it is combined with fuzzy controller,and the random variable universe fuzzy controller is used to adjust the measurement noise of lithium battery,so that this method can be applied to the health of lithium battery.Finally,the traditional Kalman filter method and the random variable universe method are used for simulation experiments,and it is found that the random variable universe method has a good experimental effect,and the initial convergence time is greatly shortened,which can achieve the expected effect,and provides a new measure for the future research of lithium battery health.