Abstract

Climate change made the detrimental impact on the environment. This climate change has urged people around the globe to adopt technologies that utilize clean and sustainable energy resources. Amid these technologies, electric vehicles (EVs) emerged as a transportation technology that is environmentally friendly, unlike traditional fuel-based vehicles that are prevailing in the automotive industry nowadays. However, the large-scale implementation of EVs can impose extra burdens on electric grids; therefore, smart scheduling is essential to optimize the charging process in a smart city. To this end, information exchange between EVs and the charging stations regarding energy’s availability, demand, and the cost is necessary to achieve efficient charge scheduling. The Internet of Vehicles (IoV) paradigm, which is extended from the Internet of Things (IoT), can play a significant role in this process by providing holistic data exchange between charging infrastructure and EVs. This chapter presents an approach for EV charge scheduling in smart distribution systems by considering the cost and speed of charging (i.e., slow, normal, or fast charging) at the charging stations. The scheduling problem aims to maximize the total profit by minimizing the charging cost.

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