IoT-based monitoring and management of electric vehicle charging systems for DC fast charging facility

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Abstract

The vehicle transport system is rapidly increasing towards a sustainable electric vehicle population. In this chapter, cloud-based monitoring and management of the smart charger station for electric vehicles (EVs) for the security-driven IoT enabled direct current (DC) fast chargers is discussed. For plug-in electric vehicles and hybrid vehicles (xEVs), energy storage devices are charged through the power grid. The proposed methodology discussed a dedicated interface to predict and estimate the battery energy consumed at different locations and the bill payment process. The chapter discusses the information about the charging time for the energy storage devices of the electric vehicles. Also, technological consideration of conventional alternating current (AC) chargers and DC fast chargers are studied. The retrieved information is shared via the internet at each charging station with the original equipment manufacturers to analyse the vehicle’s charging cost through integration of IoT operated devices. Also, the EV users are provided with an optimal energy trading solution for all units integrated and associated parameters are facilitated at the DC fast charging stations. At each charging location, the EV metering architecture acquires real-time data to provide current information about the functions and behaviours at the energy distribution network. Thus, the platform provides an optimal way for the system to provide an execution framework for the EVs users to provide energy demand solutions to all entities operated at a smart chargers infrastructure facility charging station.

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APA

Suresh Kumar, R., Rajesh, P. K., Joys Nancy, J., Abirami, S., & Vishnu Murthy, K. (2020). IoT-based monitoring and management of electric vehicle charging systems for DC fast charging facility. In EAI/Springer Innovations in Communication and Computing (pp. 147–159). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-32530-5_10

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