Prediction of EV charging safety state based on deep spiking neural network
In order to solve the problem that the prediction accuracy of electric vehicle charging safety state is not high and the degree of charging safety guarantee is insufficient,a charging safety state prediction system for electric vehicles based on deep spiking neural network is proposed.The spiking neural network is deeply optimized by particle swarm optimization to achieve more accurate prediction of the charging safety state of electric vehicles.The prediction of the charging safety state of electric vehicles mainly pre-dicts the charging temperature of the electric vehicle power battery through the charging data information of the electric vehicle during charging,and judges whether the electric vehicle charging process is in a safe state through the threshold.After experimental verifica-tion and analysis,the design system in this paper has high accuracy and strong generalization ability,which is more suitable for pre-dicting the charging safety state of electric vehicles.
electric vehiclescharging safety statespiking neuronsparticle swarm algorithm
万方数据
维普
