Balancing Strategy of Lithium Ion Battery Pack Based on Fuzzy Neural Network
For the inconsistency problem of series connected lithium-ion battery pack in the process of use,this paper proposes a fuzzy neural network equalization strategy.The strategy takes State of Charge as the equalization variable,designs the Adaptive Network-based Fuzzy Inference System,trains the affiliation function,and obtains the optimal parameters of the affiliation function,so that the setting of the affiliation function does not depend on expert.It can effectively improve the equalization accuracy and better improve the battery pack inconsistency.The experimental results show that compared with the traditional Fuzzy Logic Control(FLC)algorithm,the equalization time is reduced by about 16％,the energy utilization is increased by about 1.31％,and the dispersion of a single cell after equalization is reduced by about 1.31％under the same static,charging and discharging equalization conditions using ANFIS algorithm.The dis-persion of the single cell is reduced by about 47％.The feasibility of this equalization scheme is verified.
fuzzy neural networkbattery pack equalizationstate of charge
万方数据
维普
