We all know how much efforts have been put into bringing electric buses in India. Now as a result of which we are slowly starting to see the positive changes and impacts of these efforts as there are many electric buses running in different Indian cities and states with their own special business model, battery and technology characteristics, operators, etc.

Electric mobility is no longer a want, but a necessity for decarbonizing the urban transport sector. Meeting India’s electric mobility goals requires a mix of battery swapping and charging infrastructure, increased in-house production of sub-systems, enhanced revenue sources, rebalancing of expenditures within state and city budgets and fare adjustment.

Recently, there has been dynamic development of electromobility. This trend is predicted to grow exponentially, which will contribute to the creation of an extensive infrastructure of electric car charging points.

Battery ageing is an important issue in e-mobility applications. Battery ageing in electric vehicles is composed of calendar and cycling ageing.

The distribution of the small electric vehicles called personal mobility devices (PMDs), which can address problems such as traffic issues and environmental pollution, is expected to gain momentum.

This paper focuses on the definition, calibration and testing of a simulation model that is able to represent multimodal choice behaviours for electric vehicles.

Boosting critical infrastructures' (CIs) preparedness to threats, including natural disasters and man-made attacks, is a global imperative. The intrinsic dependencies and interdependencies between CIs hinder their resiliency.

Electric vehicle charging stresses distribution grids significantly with high penetrations of electric vehicles. This will lead to grid reinforcement works in several distribution grids. Battery storage is a possible solution to bypass times of grid reinforcement due to electric vehicle charging.

The objective of this paper is to answer an integrated set of questions related to how the transportation sector, despite the advances in vehicular fuel efficiencies and through plug-in electric vehicles, influences overall energy demand, cost and CO2 emissions.

Department of Heavy Industry initiated the launch of Phase II of FAME on April 1, 2019 (to be implemented over a period of three years) based on the outcomes and experiences gained during Phase I from stakeholders for implementation along with the appropriate allocation of funds.