Conference Papers

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

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    Two Stage Module Based Buck-Boost Converter for Cell Equalization of Series Connected Cells for Electric Vehicle Battery Pack Applications
    (Institute of Electrical and Electronics Engineers Inc., 2024) Nayak, A.K.; Kalpana, R.; Manjunath, K.
    In this paper, a two-stage module-based active cell balancing circuit using a buck-boost converter is proposed. In this technique cell balancing is performed by considering the State of Charge as a balancing criteria. Further to explore modified buck-boost converter topology with inductor and switches being used for balancing adjacent cells. An existing work of two stage module based cell equalization topology is referred. Such topology is aimed at increasing balancing speed by targeting two cells simultaneously. The topology uses fewer components than traditional balancing circuit. Proposed cell balancing is simulated by MATLAB/Simulink. The efficiency and time required for balancing is evaluated. An SOC based control is proposed instead of voltage based control in the proposed topology. Further the efficacy of such circuit in dynamic condition i.e. charging and discharging is evaluated through simulation. © 2024 IEEE.
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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.