Optimal Model to Setup Charging Infrastructure for Commercial and Domestic Electric Vehicle Charging Station in Bengaluru Urban
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Abstract
Background: An accessible network of Electric Vehicles (EVs) and Electric Vehicle Charging Stations (EVCS) lead an ambitious transition in mobility sector of India. Moreover, India is not one among the frontier countries in EVs. Methods: The research is designed to adopt strategies by benchmarking from developed countries through Data Envelopment Analysis. An arrangement to find the optimal number of commercial CS based on the demand is obtained by forecasting the sales of EV through Exponential Triple Smoothening model. Further, the supply is validated through Sensitivity analysis by considering the utilization factor of EVs. For the Domestic CS, a gravity model is utilized to allocate facility points for EVCS by considering supply from substations of BESCOM and demand from estimated population in Apartment block areas of BBMP. Results: India is only 2% efficient when compared to Finland. The number of EVs to be registered in the next 4 years at Bengaluru Urban is 4,96,299 units. In May 2026 at 10% utilization of EV, the required number of CS shall be 492. At 70% utilization of Electric Vehicle, it will be 3440 charging stations. Conclusions: In summary, an optimal model to setup charging infrastructure for Commercial and Domestic EVCS is put forward.
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