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Your search keyword '"Shanmugasundaram N"' showing total 206 results
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206 results on '"Shanmugasundaram N"'

16. Slime Mould Algorithm (SMA) and Adaptive Neuro-Fuzzy Inference (ANFIS)-Based Energy Management of FCHEV Under Uncertainty.

Author

Sridharan, S., Shanmugasundaram, N., Anna Devi, E., Vasan Prabhu, V., and Velmurugan, P.

Subjects
*ENERGY levels (Quantum mechanics), *POWER resources, *ENERGY management, *FUEL cells, *ELECTRICAL load
Abstract

This manuscript proposes a hybrid technique for optimal energy management (EM) of fuel cell (FC) and ultra-capacitor (UC) hybrid electric vehicles (FCHEVs) under uncertainty. The proposed method is a joint execution of the Slime Mould Algorithm (SMA) and the Adaptive Neuro-fuzzy Inference System (ANFIS), otherwise called the SMA-ANFIS system. The main aim of the proposed system is to achieve and regulate the steady state of DC bus voltage with minimal steady-state error (SSE) under different load conditions by using the proposed SMA-ANFIS technique. FC supplies power during vehicular operation and it is used to regulate DC bus voltage to the chosen value and recharge, and UC supplies current optimally through the proposed technique. The optimal EMS performs and controls the power flows through the associated power converters to accomplish some power allocation and energy efficiency levels. Finally, the proposed method is done in the MATLAB platform, and the performance is compared with other methods. [ABSTRACT FROM AUTHOR]

Published
2024
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45. An Improved Switched-Inductor and Switched-Capacitor Networks-Based High-Step-Up-Ratio DC–DC Converter.

Author

Bhukya, Ramu and Shanmugasundaram, N.

Subjects
*DC-to-DC converters, *CAPACITOR switching, *HIGH voltages, *PHOTOVOLTAIC power systems, *SOLAR system
Abstract

Achieving higher voltage at load side is essential in many applications, especially in small-scale solar PV systems. Traditional boost converter fails to lift the voltage level beyond five times due to saturation in the passive elements. In order to attain high voltage gain ratio, a novel switched-inductor and switched-capacitor networks-based high-gain step-up converter is proposed in this paper. It can attain higher voltage gain at lower duty ratios, thereby reducing the losses associated with the converter and enhancing the efficiency. The detailed analysis of the proposed converter has been made under the CCM and DCM conditions. Moreover, investigation on device stresses is carried out and the results are compared with recently derived converters. Also, the performance comparison of the proposed converter with other published topologies is presented in this paper. In order to validate the operation details, the measured results are presented and the same have been confirmed with the theoretical approach. Furthermore, experimental works have been carried out and the results are presented to confirm the feasibility of the operation. [ABSTRACT FROM AUTHOR]

Published
2023
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