Computational Analysis for Vehicle Suitability for EV Retro Fitment: An Approach for Faster Transition to Electric Mobility

The shift from internal combustion engine technology to electric vehicles (EV) based mobility system has to be made quickly to achieve the government goal of having 30% electric based mobility by 2030. Also, some studies suggest that a good number of two wheelers having better health, are discarded because of completion of registration time. To cater these issues, retrofitting of these vehicles to electric based systems is one of the solutions. Also, at present, the decision on the suitability of the vehicle for retrofitting is made based on a vehicle inspection-based methodology which can lead to human error. In the present work, a computation program is devised using programming languages that can help in making a decision on the suitability of the vehicle for retrofitting to EV-based technology. The program uses key parameters that play a significant role in taking decision on suitability to retrofit. The program was then made available to the users, who needs their two-wheeler retrofitted. The decision based on the computational model was then compared with the vehicle inspection-based methodology. Findings suggest that computational-based model prediction matches 84 %, with the inspection-based methodology. The devised program can be made available on an online platform to customers for knowing the suitability of their vehicle for retrofitting to EVs thus helping the government in shifting to electric mobility.