Implementation of Logistic Map Approaches in a Differential Evolutionary Algorithm for an Electric Vehicles

The electrical vehicle is blossoming technology and numerous mathematical modellings were proposed in the digital era. The core parts of electric vehicles are Brush Less DC Motor (BLDCM) in the recent development and the controller commonly PI controller is favored. The dynamic model of BLDCM was originated from differential equation and progressed to acquire the continuous solution using Laplace transform. The whole system was established in continuous function style and studied without controller. The feasible solution is developed with provision of controller via traditional manner as well in evolutionary process. The quick convergence was realized by adjusting cross over rate (CR) and mutate factor (F) in the iteration process and the Differential Evolutionary Algorithm (DEA) became adaptive nature.The 2-degree polynomial, non-linear equation was advised to update F, CR and different cases were debated in simulation and validated in IoT controlled hardware setup.