The ever-increasing population, rising global warming and depleting non-renewable resources indicate the pressing need of shifting to more sustainable and environment friendly ways of transportation. Electric Vehicles have zero tailpipe emissions and very low dependency on fossil fuels. Widespread EV adoption is hence the key to advancing sustainable mobility. However, there are multiple challenges hindering EV adoption, especially in India. In our research, we have investigated what range anxiety is and how it inhibits people from purchasing Electric Vehicles. This research is in alignment with the United Nations Sustainable Development Goal 9 of industry, innovation and infrastructure and Sustainable Development Goal 12 of responsible consumption and production. The Indian Government aims to make India a 100% electric-vehicle nation by 2030. In order to achieve the aforementioned aim, an extensive charging infrastructure will be essential so that range anxiety of EV’s can be tackled. We have proposed a way for providing optimal locations of charging stations by using genetic algorithm. We have applied the algorithm only to the city of New Delhi for the purpose of this research, however its application can be extended to other cities as well. We’ve focused on the optimal placement of electric vehicle charging stations after taking into consideration many aspects and constraints in the model without excessive technical details. There are a few limitations in our research such as the geographical area into consideration and we’ve also assumed that consumers will not be biased towards any charging station based on time and cost factors, which may not be the case in reality. Further research bridging these gaps will allow us to arrive at a more reallife like problem and thereby more accurate solutions

Keywords : Electric Vehicles; Range Anxiety; Genetic Algorithm; Charging Infrastructure; Charging Stations; Operations Research; Climate Change