Optimal Model to Setup Charging Infrastructure for Commercial and Domestic Electric Vehicle Charging Station in Bengaluru Urban

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
f
ind 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.