As electric cars have become more prevalent in recent years, the demands of electric cars (EVs) are now essential to the worldwide movement to cut carbon emissions and rely less on fossil fuels. To increase EVs’ efficiency and range, it is crucial to comprehend and optimize their energy use. This research uses Matlab-Simulink software for modeling and simulation to thoroughly examine the factors affecting EV energy usage. Research is conducted to determine how several factors, including vehicle mass, speed, and road gradient, affect the total amount of energy used. The model incorporates elements like the electric motor, battery system, and regenerative braking to replicate actual driving circumstances. In order to assess their effects on energy efficiency, environmental factors such as road surface, vehicle mass, and driving behavior (based on driving cycle) are also considered. The simulation's findings show how various driving situations affect battery discharge rates and energy economy. Sensitivity analysis is used to identify essential elements that substantially impact EV performance. The results of this study are essential for designers and manufacturers that want to improve EV energy management techniques and vehicle performance in various operating environments.