Modeling and Optimization Tool for Electric Vehicle Autonomy

The suggested method entails introducing the design of a computer tool that enables the modeling of the electric vehicle power chain in the first stage. A library created using the Matlab-Simulink environment serves as the foundation for this phase. This library contains all of the chain’s components and provides multiple configurations for each one. The tool resolves the autonomy optimization issue in the second stage. A program that uses genetic algorithms resolves this issue. In order to maximize autonomy, the program optimizes the parameters of a chain’s configuration that the designer has selected. A graphical user interface created in the Matlab environment serves as the foundation for the utility.