Application of Genetic Algorithm Optimization Theory in SOC Measurement of Aviation Lithium Batteries
Based on the control theory optimized by genetic algorithm,this study discusses its application in the SOC measurement of aviation lithium batteries.Through the in-depth analysis of the charging and discharging process of lithium-ion batteries,combined with the genetic algorithm optimization method,an improved SOC calculation model is proposed.The model comprehensively considers various factors such as battery characteristic curve,temperature,and current,which improves the accuracy and stability of SOC measurement.This study not only conducts in-depth research on SOC measurement in theory,but also verifies the effectiveness of the proposed method through experiments,which provides important support for the accurate management of lithium-ion batteries.
lithium-ion batterySOC measurementgenetic algorithmcontrol theory
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