Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    Neural Network-Based Sensorless Control of Flyback Converter for Cell Balancing
    (Institute of Electrical and Electronics Engineers Inc., 2025) Premarajan, P.; Raushan, R.; Bhushan, R.
    A conventional control system with an active clamp flyback converter uses a feedforward method that involves feeding the input to a mathematical model beforehand to adjust the duty cycle accordingly. The feedforward method uses a mathematical model that involves a lot of calculations to obtain an efficiency alike feedback system. Integrating a neural network trained with a feedback system data output can be used as a replacement for the mathematical model to have performance as par with the feedback system. Sensors are used to measure the voltages for the feedback circuit to work. This work investigates the potential of utilizing a neural network to enable sensorless operation within a feedforward control system to regulate the voltage input to the cell balancina system. © 2025 IEEE.
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    Renewable Power Integration for Electric Vehicle Charging System: A Review
    (Institute of Electrical and Electronics Engineers Inc., 2025) Nirala, P.K.; Barik, A.K.; Bhushan, R.; Jagtap, K.M.; Raushan, R.
    This review paper accentuates on the conceivable integration of renewable based generations to the charging stations of Electric Vehicles (EVs) towards restraining the carbon emissions. The intensifying global demand for EVs in recent days puts stress on conventional grid with existing infrastructure, which could be relaxed by integration of renewable based power generations with ecological balance. The importance and feasibility of renewable integrations to charge the EVs are reviewed in this paper and suitable applications are reported to develop charging infrastructures for EVs. The importance of vehicle to grid (V2G) concept is also reviewed to facilitate ancillary support to future grid integrated with renewables. © 2025 IEEE.