Now a days, it is an arduous task for the customers to buy an electric car due to day-to-day increased market competition, advanced technology, diversified product etc. To conquer this problem, we have used MCDM techniques to distinguish and select a best car among all the alternatives. In this study, we have taken eight different electric vehicles of different brands and eight different criteria for optimization. The main criteria’s considered for the analysis are identified by reading literature reviews and interviews with professionals from the Indian automotive industry and consumers are as follow- cost, driving range, acceleration, battery charging time and top speed. AHP methodology is used to define weights for different criteria used in study. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Objective Optimization based on Ratio Analysis (MOORA) techniques have been used for analysis and the results are compared. Byd E6 is considered to have better performance in both the methods. The results obtained from the method used will be beneficial for customers to distinguish between different electric cars in the current industry.