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Predictive Control on Power Source Selection in Hybrid Vehicle System

Publication Type : Journal Article

Publisher : IOP Conference Series: Materials Science and Engineering

Source : IOP Conference Series: Material Science and Engineering, Vol.577, December 2019

Url : https://www.researchgate.net/publication/337820799_Predictive_Control_on_Power_Source_Selection_in_Hybrid_Vehicle_System

Campus : Coimbatore

School : School of Engineering

Department : Electrical and Electronics

Year : 2019

Abstract : Technology advances day by day. It improves like revolutions. As in TeleCom, the mode of communications advances from electrical lines to optical lines to increase the speed of data transmission and now it is wireless. This pattern holds true for the revolution in automotive industry. It is the part of “Fourth Industrial Revolution” targeting connectivity, electrificatio n and update in customer needs. This revolution is in-need of more energy compared to the conventional requirement. Progress in battery technologies are providing us an option towards the electrification of the automobiles. The advancing safety features has demand in power which roots towards electrification. As pulses, the initial effort has taken in improving the utilizatio n of Energy Storage Systems for Electric or Hybrid Vehicles. Drives used in Electric Vehicles (EV) are configured to act as generator during braking, thus charging the Energy Storage System (ESS). This ESS offers efficiency in storing re-generative braking energy, vehicle acceleration and battery safety. Appropriate switching algorithm (ANFIS) is required to control the power supply source during power demand, which based on the past learnings that target to improve the efficiency of control mechanism to maintain the quality of Battery and Super Capacitor in Hybrid Energy Storage System (HESS).

Cite this Research Publication : Vishnu Verchas, S., Vijaya Chandrakala, K.R.M., “Predictive Control on Power Source Selection in Hybrid Vehicle System”, IOP Conference Series: Material Science and Engineering, Vol.577, December 2019.

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