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Abstract

This paper proposes a new algorithm for a real time charging recommendation for an electric vehicle (EV) driver based on an accurate real-time range indicator system to avoid range anxiety. In this algorithm the graphical user interface (GUI) of the real-time range indicator system is also used to show the driver an accurate estimation of the remaining range to destination and the current state of charge (SoC). This algorithm also calculates the minimum charging time required at the charging station to reach the destination. Charging recommendation system, electric vehicle, energy management, real-time range estimation model, state of charge estimation these are tools required for implementing this paper. The proposed system will enhance the use of electric vehicles by reducing range anxiety and reduce the necessary charging time along a route and also helps the driver to travel over a longer distance by a depleted electric battery.

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How to Cite
Natarajan. A, Gokulakrishnan.V, Loguprasanth.P, & Sasikumar.S. (2019). Development of an automatic monitoring and control system for the objects on the conveyer belt. International Journal of Intellectual Advancements and Research in Engineering Computations, 7(1), 977–982. Retrieved from https://ijiarec.com/ijiarec/article/view/905