Energy Storage System with Artificial Neural Networks using PI Hybrid Controllers

Abstract

EV Hybrid Energy Storage Techniques of system design are considered. Increasing electricity consumption necessitates greater monitoring and management, as well as additional obstacles in designing and refining specific solutions. Building, transportation, and trade are examples of such initiatives. A large number of people own portable computers. The capacity to store renewable energy for extended periods must be distinguished from energy saving technologies. The nature and scope of this issue need extensive investigation. We can better comprehend the value of electric cars for hybrid energy storage if we understand each other's perspectives. The authors employ neural networks and PI to provide accurate, distortion-free outputs. In this paper, a hybrid electric energy storage system for electric vehicle is simulated using Neural Network and PI combined controller. The results show that the use of artificial neural network and PI controller have reduced the distortions and noise level in output which will improve the lifetime of the system.