This chapter presents a detailed review of EV charging systems and solar-based EV charging systems, infrastructure, methodology, and their implementation in India.

The purpose of this article is to indicate in which, specifically, municipalities, according to the act, electric vehicles charging outlets are to be located.

The Module 3, Unit 2 — Planning for Implications on the Grid covers grid planning and management; challenges and opportunities presented by EV loads on the electric grid; time and capital costs incurred by grid infrastructure upgrades; and long-term planning and customer support. This lecture is presented by Mr Scott Belding of NREL.

This study aims to start a discussion on the topic by exploring three relevant issues: the impact of EVs’ operating costs on urban size, the space requirements of charging facilities, the land demand of energy production through renewables.

In this paper, the authors propose a charging coordination system based on Reinforcement Learning using an artificial neural network as a function approximator.

This report evaluates policies for transitioning to clean vehicles and clean energy for road transport. The review includes measures that can help to scale up the transition quickly and instruments to manage it.

This report provides an overview of technological, operational and policy measures that can accelerate the decarbonisation of aviation.

The aim of this paper is to discuss different techniques/methods available currently to detect electric and combustion vehicles (EVs) and their comparative study to find the superior method of detection.

Automated Electric Transportation (AET) is an innovative concept that aims to integrate energy, vehicle, highway, and communication infrastructures. It provides an electrified transportation system to support in-motion energy transfer through wireless charging of inductive coupling in the highway.

This research provides a case study for Istanbul using real-time global positioning data from fossil-fuel taxis currently operational in the city. This case study tests the performance of the proposed infrastructure, determined by the framework, by simulating a taxi fleet of the same size as the one currently operating in Istanbul.