Fault diagnosis of DC-DC module of V2G charging pile based on Fuzzy Neural Network

Abstract

Aiming at the problem of fault diagnosis of switching devices in DC/DC module of V2G charging pile, a diagnosis method based on fuzzy neural network is proposed. The method combines fuzzy mathematics with neural network, adopts 4-layer forward network and a step degree optimization algorithm, uses the self-learning and self-adaptive ability of neural network, adjusts the parameters of fuzzy set membership function in real-time, and trains a set suitable for V2G charging Fault diagnosis algorithm of DC/DC module of electric pile. Simulation results show that the fault diagnosis algorithm based on fuzzy neural network can effectively diagnose faults.