This work mainly focuses at DA level where load flattening using PEV’s storage is the main objective.

This thesis models the charging of electric vehicles using a Markov Decision Process and uses Reinforcement Learning solution models to derive an intelligent charging algorithm. This algorithm can take concepts such as electricity price, battery degradation and electrical losses into account in order to minimise the overall operational costs, and add more value to the use of electric vehicles.

In this study, wind-solar PV hybrid electricity generation and application to Electric Vehicle (EV) was studied in Central University of Kerala, Kasaragod, Kerala, India. The findings of this research are twofold.

Energy generated from the proposed regenerative braking system must be stored in the battery of the vehicle.

The demand for oil resources is raising more in India when compared to other countries. The estimated demand in oil resources seems to be 9.8 million barrels a day at the end of 2040. 65% of that increase in demand is mainly due to vehicle transportation.

Electric Vehicles (EVs) are slowly becoming the integral part of day to day life in our society owing to the depletion of fossil fuels as well as increased pollutants concentration in the atmosphere.

The present study is limited to the problem of traffic congestion in analysing the sustainable development in urban transport planning and modelling; Sustainable development is known to be a complex and integrated issue.

The development of automobiles with heat engines is one of the greatest achievements of 20th century and marvel of modern technology. However, the highly developed automotive industry and the large number of automobiles in use around the world have caused and are still causing serious health and environmental problems for society and human life.

In this research work, a power management system is developed to effectively utilize power from both smaller size fixed batteries and larger size batteries to supply energy demanded by drivetrain of EVs.

In this research Coordinated charging of Plug in Hybrid Electric newlineVehicle (PHEV) in a grid and efficient battery charging controller are analyzed using various algorithms.