Zero tailpipe emission, cost savings, government incentives and technological advancements are paving the way towards increased sale of electric vehicle (EV). In spite of spike in the sales of EV there exists a concern among most of the EV users due to insufficient charging infrastructure causing the range anxiety. Efficient implementation of charging infrastructure will remove the barriers and enable manufacturers target multiple automobile segments thereby reducing the dependence on fossil fuels. In this study, a novel hybrid capacity planning model for provisioning EV recharging ports and fuel refilling points is proposed on the existing fuel outlets. The problem is formulated as a mixed integer linear programming (MILP) model with the aim of minimizing the surplus and deficit capacities of recharging ports and refilling points with demand projections. The simulation of proposed MILP model is carried out for 5- year period into future for three different scenarios using the traffic flow data collected from five fuel outlets. The results demonstrate the scope of strategic decisions on the progressive transformations of the existing fuel outlets to innovative hybrid outlets that would help the existing outlets to adapt themselves to the rapidly changing market needs. Finally, the formulation is extended as a revenue maximization model with differential pricing to get insights on the expected returns from the hybrid outlets.
Powering the Electric Vehicle Transformation: Modelling and Analysis of the Conversion of Fuel Outlets to Hybrid Outlets
Lect.Notes Mechanical Engineering
International Conference on Industry 4.0 and Advanced Manufacturing ; 2024 ; Bangalore, India January 11, 2024 - January 12, 2024
2025-01-28
12 pages
Article/Chapter (Book)
Electronic Resource
English