Abstract
It has been a consensus persuasion from automotive industries, policymakers, R&Ds and vehicle vendors that electric vehicle is the powertrain archetype for future transport. The current Electric, plug in electric and plug in hybrid electric vehicles (xEVs) no longer remain only a means of commute, but can act as prime actors to have active business participation with various markets in the power system such as V2G, demand side management (DSM) etc. The modern development in the information and communication technology (ICT) evolves such vehicle into intelligent vehicle (IV) and augments their utility to provide diverse services for Intelligent Transportation (ITS) infrastructure. However, due to lack of viable charging infrastructures the contemporary power system fails to accommodate the incoming xEV flux. The inability is manifested in the form poor quality of service, which causes customer dissatisfaction and ultimately lower adoption of xEVs. This work proposes an energy efficient battery swapping topology (BSS) adopting the notion of Internet of Things (IoT). The work introduced the innovative notion of integrating internet of things (IoT) into smart charging infrastructures and proposed a data driven IoT-BSS model whose operation is regulated through Fog computing and Big Data analytics. Further, a four layer fog computing execution stack is developed to set up the service oriented architecture (SOA) for an efficient and real-time decision making framework for next generation intelligent transportation. The work also highlights the data science prospects and challenges that can elucidate in course of realization the proposed infrastructure.
