Journal Articles (All Issues)

Abstract

Autonomous Electric Vehicles (AEVs) are revolutionizing the world of smart city transportation duet other lower source consumption, improved traffic efficiency, zero carbon emissions, and improved road safety. To ensure the safe passage of vehicles through a complex environment, it is essential to plan for safe and smart navigation and energy management for AEVs. This demands an effective model for locating the optimal Electric Charging Stations (ECS) for scheduling and recharging the AEVs when they run on low battery. Many research works, however, do not focus on navigation and scheduling policies for A EV charging that would occur in extreme events in complex environments. The electric vehicles are convenient technologies to reduce fuel cost and environmental emissions. The gas online price always comprises fluctuations but the electricity price is much more stable. The electricity price is also less expensive than gasoline. As a result, electric vehicles are conveniencetechnologiestoreducefuelcost.Theelectricitycostsandenvironmentalpollutionaretheother targets that can be minimized by optimal charging-discharging of electric vehicles. The number of Electrical Vehicle (EV) charging stations is steadily increasing everyday as electric vehicles become more popular. With the proliferation of electric vehicles and their predicted sales growth in the near future, battery recharging will pose many challenges. In this paper we will introduce a smart power meter to recharge the electric vehicle. IOT technology is implemented to handle the electric vehicle (EV) recharging process. The proposed EV charging station draws current from the utility grid at low total harmonic distortion (THD).The optimal charging discharging pattern of electric vehicles reduces the economic cost of the unit commitment problem.

References

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