The adoption of the smart and sustainable charging infrastructures for electric vehicles (EVs) represents a key-point to accelerate the electro-mobility uptake. This paper presents an optimal power flow management for a smart charging micro-grid that minimizes the cost and reduces the impact on the grid of EVs requests. This goal is achieved by means of an optimal integration and control of renewable energy, stationary energy storage system, and V2G into the charging infrastructure. In particular, the optimal power flow management solves a stochastic multilayer optimization problem based on the definition of different priority levels representing the coordination of the ESS with the other sources. The output of the algorithm is the day-ahead prediction of the energy generation and, thus, the optimization of energy flow during the entire day. Possible variation of energy sources during the operation are also taken into account by means of a real time control adaptation.

This paper deals with the optimal sizing and power flow control for grid-connected multi-source power converter system for EV charging infrastructure with integrated energy storage system. The sizing of the power conversion system is based on cost-benefit analysis which takes into account several factors to define the e-mobility scenario and different topologies of power conversion units. The proposed solution allows minimizing the impact of EV charging processes on the electric grid as well as their cost by means of suitable use of a renewable source and an energy storage system.

Rapid developments in the lithium-ion battery technology in the last decade have made it the overwhelming choice over lead-acid batteries, especially for advanced vehicles like hybrid and electric vehicles. However, for the traditional starting-lighting-ignition (SLI) application, the lead-acid technology continues to be dominant due to its low costs, despite its shortcomings. This could change in the future as a consequence of the introduction of newer, cheaper and safer lithium technologies. This paper examines the feasibility of using lithium-ion batteries for SLI application in conventional vehicles, over the lifetime of the vehicle, along with their battery management and thermal management systems and various related issues.

With increasingly stringent regulations on fuel emissions, vehicle manufacturers have started developing hybrid and electric versions of their vehicles. This paper presents a systematic approach to developing series-hybrid version of an existing bus through power-train modelling. The approach involves accurate modelling of the conventional bus, validating it by matching the simulation results with the tests conducted on the actual bus, and then developing the hybrid version of the bus.