Faculty Publications
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Publications by NITK Faculty
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Item Enhanced electric vehicle battery management system employing bat algorithm with chaotic diversification strategies(John Wiley and Sons Inc, 2024) Vani, B.V.; Kishan, D.; Ahmad, Md.W.; Reddy, C.R.P.As the demand for electric vehicles (EV) continues to increase, the need for effective charging and switching of battery systems becomes more important. This article presents a method using the Bat Algorithm (BA) improved by chaotic diversification as well as social education to optimize the power source replacement and the electric vehicle charging procedure. The plan is intended to solve the issues of payment delay and battery management failure. The algorithm searches for better positions by combining chaotic diversity, while social learning supports the coordination of battery stations. Thanks to extensive simulation and real-world testing, our approach shows significant improvements in optimization and a reduced payback period. The results show that the suggested approach outperforms the current algorithms in terms of rotation speed and good solution. This research supports the development of efficient transportation by providing practical solutions to increase the efficiency of electric vehicle transfer and payment and ultimately encourage greater effort. © 2024 The Author(s). IET Power Electronics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.Item A Novel Dual-Input Single-Output High-Gain DC-DC Converter for Interfacing Fuel Cell with High-Way Charging Station Applications(Institute of Electrical and Electronics Engineers Inc., 2025) Diwakar Naik, M.D.; Vinatha Urundady, U.This article presents a novel dual-input single-output high-gain dc-dc converter designed specifically for interfacing fuel cells (FCs) with high-way charging station applications. The converter boasts several notable features, including high output voltage gain achieved with only two switches, continuous input current, reduced switch stress, and the ability to provide a reliable continuous power supply. This article elucidates the two operating modes of the converter along with their corresponding switching states. In addition, it delves into the design and analysis of the proposed converter, covering various aspects, such as the development of a state-space model and the derivation of the small-signal transfer function to comprehend the dynamic behavior of the converter. Moreover, a suitable control strategy using the k-factor method has been devised to effectively regulate the output voltage and ensure stability, even in the face of input voltage fluctuations. To validate the effectiveness of both the proposed converter and controller, a 150-W prototype was meticulously constructed and experimentally verified in a laboratory setting. © 2024 IEEE.Item Novel Reconfigurable Power Converters Facilitating Dual Battery Integration in Electric Vehicles(Institute of Electrical and Electronics Engineers Inc., 2025) Kumar, V.; Prabhakaran, P.; Raj, N.Battery-operated Electric Vehicles (EVs) are experiencing a significant surge in demand in today's market. The primary obstacles to the growth of the EV industry include concerns about range anxiety and reliability. To address these challenges, Dual battery-based solutions are emerging as a recent trend in the EV, specifically the two-wheeler segment. This paper introduces two novel reconfigurable power converters that enable dual battery integration. The converters can connect the dual batteries in series or in parallel or allow using a single battery during traction or charging. The output terminals of the converters can be directly connected to the charger or traction inverter. To connect dual batteries in parallel with minimum circulating currents, the terminal potentials must be nearly equal. The proposed converters include a voltage balancing feature to ensure this balance. To demonstrate dual battery charging, the proposed converter is integrated into a non-isolated inverter charger system (ICS). Transfer functions for the system with the proposed converter have been derived using state space averaging and small signal modeling, and the necessary controllers have been designed using the K-factor approach. Comprehensive MATLAB simulations and hardware experiments are presented to validate the effectiveness of the proposed power converters. © 1972-2012 IEEE.
