TEMPERATURE CONTROL SYSTEM FOR RANGE OPTIMIZATION IN ELECTRIC VEHICLE

In this paper, we propose a mechanism to optimize range of EV by integrating some of the best methods to estimate rotor position, efficient temperature control modules and machine learning algorithms that analyze the vehicle's environment and driving pattern. A simulation of an EV model with the above-mentioned modules is presented through Simulink. The result of this simulation is compared with the result of simulation with the same modules but with Machine Learning Algorithms integrated. A comprehensive comparison analysis is then presented to show how range of an EV improves as the machine learns.