Study on the Optimal Charging with Neural Networks Prediction and Variable Structure Fuzzy Control

摘要

Based on a number of charging and discharging experiments and in-depth study on the electrochemical mechanism of lead-acid battery, a charging thought is put forward with the variable structure fuzzy control and neural networks predictor, and a new-type Buck/Boost topology that uses a two-unit IPM is performed charging and depolarized discharging. The experiment results indicated that charging efficiency was raised to about 90% by application of new control strategy, the charging period was reduced to within one and a half hours, and there was no apparent electrolyte temperature-rise, which means high efficiency, fast and damage-free charge is realized.