Analysis of Performance Parameters of Electric Vehicle Using MATLAB Simulink

An Electric Vehicle (EV) has a tremendous growth in the present Scenario, with expected growth of 25 % GDP in India by 2022. There are a lot more beneficiaries of using Electric vehicles. The number of Electric vehicles manufactured increases day by day, thus increasing the complicacy in their customization and reliability. The major consequence of battery-operated vehicles is their unreliability. This unreliability is because of the absence of monitoring and analysis of parameters in the EV once it has been manufactured and running on the road. A traveler should know their vehicle information when travelling from source to destination. If not, there may be a risk of sudden stalling of the vehicle. The State of Charging (SOC) data alone will not be sufficient. Thus, the battery state, which changes concerning the driving cycle and other parameters, will help the user approximate how far they can travel with the available battery level. We can make EVs more reliable by properly analyzing their parameters to study the EV characteristics. Also, we can further transform EVs more economical by customizing the design of electric vehicle components considering the driving cycle and vehicle parameters. The real key parameters and driving cycle data have been deliberated to create an enhanced model in this work. The simulation of EV is carried out in MATLAB Simulink for its performance based on parameter estimation. The electric vehicle's optimal performance is examined by analyzing the vehicle's actual speed, input drive speed and driving cycle data concerning the design parameters. The EV's energy consumption value is analogized based on the status of battery's charge. Along with SOC data, the battery state, which changes concerning the driving cycle and other vehicle parameters, will help the user approximate how far they can travel with the battery available with them. The impact of various factors on vehicle performance and energy consumption has been investigated in this work. An optimal solution can be devised for selecting the appropriate motor rating and battery capacity for EV through this analysis. Also, this work serves as a test bench for EV manufacturers and users to estimate and analyze the vehicle's performance for the betterment of the design or user experience.