Design of a DC/DC Converter with a PID Controller and Backpropagation Neural Network for Electric Vehicles
Basmah Shigdar Lina Almatrafi Batool Alaidroos Futoon Alsharif Rabab Hamed M. Aly
Basmah Shigdar
Lina Almatrafi
Batool Alaidroos
Futoon Alsharif
Rabab Hamed M. Aly
Citations
Altmetric:
Type
Supervisor
Date
2023-04-11
Collections
Research Projects
Organizational Units
Journal Issue
Abstract
Currently, global warming has become a major problem. The pollution caused because of conventional internal combustion engines are increasing dramatically. Electric Vehicles are good alternatives to conventional IC engine vehicles in promoting a green environment. Controllers, converters, and modulation schemes are needed to provide a safe and reliable power transmission from energy storage systems to the electric motor in electric cars. In this paper, a design of DC/DC boost converter based on a PID controller is proposed. Moreover, a Back Propagation Neural Network (BPNN) technique is applied to generate the optimal PID parameters before using the PID. The proposed DC/DC boost converter is simulated using MATLAB software. The simulation results proved that the proposed DC/DC converter with PID-BPNN achieved higher performance and a stable output voltage.