Research On Charging System Of Lead-acid Battery Based On Intelligent Control Technology

Lead-acid batteries occupy a dominant position in the power battery market due to their mature technology,high cost performance and abundant raw materials.However,unreasonable charging methods have led to a decrease in performance and capacity of lead-acid batteries,shortened battery life,and caused the batteries to be scrapped prematurely,thereby wasting resources.As a key factor affecting the performance and service life of lead-acid batteries,the charging technology needs further development in theory and technology.Therefore,the research on intelligent charging technology of lead-acid batteries with high efficiency,safety and reliability has very important theoretical significance and engineering application value.Based on the above analysis,through in-depth research on the electrochemical working mechanism of lead-acid batteries,the current status of charging methods,the State of Charge(SOC)and intelligent control technology,a fuzzy PID-based control and charging Intelligent charging strategy for power state tracking.The main work and results of the paper are as follows:1.SOC is one of the key parameters of the battery management system.It can be used to monitor the charging and discharging process to prevent the occurrence of excessive charging and discharging of the battery and extend the service life of the battery.Based on the comprehensive consideration of the accuracy of the model and the speed of the algorithm,a dual-polarized equivalent circuit model of the battery was established,and the parameters of the model were identified by the hybrid pulse performance test experiment and the accuracy of the model was verified.Aiming at the problem of large error and instability in the estimation filter algorithm has large error and instability,a battery SOC estimation strategy based on unscented kalman filter algorithm is proposed to estimate the battery SOC online real-time.the simulation and contrast experimental results show that the method has good SOC accuracy and stability.2.Considering the characteristics of non-linear,multi-variable,time-varying and other characteristics of the lead-acid battery charging control system,it is proposed to use fuzzy PID control to adjust the charging voltage and current in real time,so that the battery is always in the best charging state.Matlab / Simulink is used to model and simulate the charging system.By comparing the charging control effect of PID and fuzzy PID,it is proved that the charging system based on fuzzy PID control has faster response speed,higher accuracy and better robustness.3.In view of the problems of low charging efficiency and poor charging quality in existing charging methods,this paper proposes a four-stage intelligent fast charging strategy based on Maas' s law,and determines the charging mode and charging parameters through a large number of experiments It is more reliable to use the battery state of charge SOC as the sign of the conversion in the charging stage than to use the battery terminal voltage as the sign of the conversion.4.According to the intelligent fast charging strategy proposed in this paper,the hardware circuit and software program of the charging system are designed and tested respectively.Finally,the effectiveness of the intelligent charging strategy proposed in this paper and the reliability of the charging system are verified by designing the contrast charging experiment and comparing with the traditional charging method,which improves the charging efficiency and charging quality,and basically realizes the efficient,fast and non-destructive charging target.