Abstract: This thesis presents an overview of issues and technologies related to the proper design of charging infrastructures for road electric vehicles. The analysis is carried out taking into account that the recharging stations of electric vehicles might be integrated in smart grids, which interconnect the main grid with distributed power plants, different kinds of renewable energy sources, stationary electrical storage systems and electric loads. The study is introduced by an analysis of the main characteristics concerning different kinds of storage systems to be used for stationary and on-board applications. Then, different charging devices, discharging modes and architectures are presented and described showing their characteristics and potentialities. It is necessary to monitor battery behaviour and accordingly utilise it. Range anxiety is the predominant desolation among the electric vehicles (EV’s) possessors that caused by driver’s ambiguity in relation to vehicle’s energy needed to arrive at targeted place and state of charge (SoC). This project proposes an intelligent control algorithm for real time range estimation, indication of various parameters and generates alerts in the smart phone using Internet of Things (IoT). This algorithm determines the amount of charge present in battery and how much distance can an electric vehicle move with the remaining power available. Intelligent controller also improves the battery performance and lifetime. Thereby the integrated system of range estimator and crash detector will make the electric vehicles smarter. The objective of the project is to promote green power and to improve the smartness of electric vehicles by integrating the range estimator and crash detection units alongside to make use of IoT. This makes the generation of alerts when any abnormalities occur and display the parameters in the virtual dash board.
Keywords: ESP8266, Battery, Voltage sensor, LCD Display, ADC, Diode, Resistor, Capacitor.
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