A5044680819- Advanced Battery Technologies Research
- Wireless Power Transfer Systems
- Advanced DC-DC Converters
- Energy Harvesting in Wireless Networks
- Multilevel Inverters and Converters
- Metaheuristic Optimization Algorithms Research
- Electric Vehicles and Infrastructure
- Water Quality Monitoring Technologies
- Advanced Control Systems Design
- Silicon Carbide Semiconductor Technologies
- Sensorless Control of Electric Motors
- Microgrid Control and Optimization
- Advanced Algorithms and Applications
- IoT-based Smart Home Systems
- Evolutionary Algorithms and Applications
- Advancements in Battery Materials
- Photovoltaic System Optimization Techniques
- Electromagnetic Compatibility and Noise Suppression
- AI in cancer detection
- Low-power high-performance VLSI design
- Cloud Computing and Resource Management
- Graph Theory and Algorithms
- Wireless Sensor Networks for Data Analysis
- Anomaly Detection Techniques and Applications
- Advanced Sensor Technologies Research
SRM Institute of Science and Technology
2017-2025
Vellore Institute of Technology University
2024
SRM University
2015-2021
The solar PV based power generation systems are growing faster due to the depletion of fossil fuels and environmental concerns. Combining panels energy buffers such as battery through multi-port converter is one viable solutions deal with intermittency power. goal this paper design analyze proposed triple port DC-DC buck-boost for high step-up/step-down applications. It has two unidirectional ports (port-1 port-3) bi-directional (port-2) harnessing photovoltaic charging battery. At port-1,...
Electric vehicles (EVs) are considered as the leading-edge form of mobility. However, integration electric with charging stations is a contentious issue. Managing available grid power and bus voltage regulation addressed through renewable energy. This work proposes grid-connected photovoltaic (PV)-powered EV station converter control technique. The controller unit interfaced energy source, bidirectional converter, local storage (ESU). provides regulated output fuzzy logic (FLC) during...
Modern electrical transportation systems require eco-friendly refueling stations worldwide. This has attracted the interest of researchers toward a feasible optimal solution for electric vehicle (EV) charging stations. EV can be simply classified as Slow (domestic use), Fast and Ultrafast (commercial use). study highlights recent advancements in commercial DC charging. The battery voltage varies widely from 36V to 900V according EVs. focuses on non-isolated unidirectional converters...
ABSTRACT This article proposes a new Wireless EV charging system with single stage boost assisted flyback (SSBAFB) inverter. Also, this presents Model predictive (MP) control for the proposed system. The key merits of SSBAFB inverter are better efficiency (boost optimizes energy transfer), cost‐effectiveness, possibility integrating renewable sources. significant features MP performance, dynamic response, multi‐objective control, robustness, and many more. In literature, two controls were...
ABSTRACT Dynamic response, lack of efficient power transfer, and high response time resulting in increased losses reduced minimal efficiency are the major issues existing controls wireless transfer (WPT) for EV charging applications. Model predictive (MP) control can handle several constraints disturbances by predicting future behavior system generating signals accordingly, making stable, operating at efficiency. This work proposes transmitter‐side model three‐level T‐type inverter–based...
A nonisolated three-port DC–DC converter based on Cuk topology (NI-TPC) to handle the renewable sources (RS) is proposed in this paper. This includes two unidirectional input ports accommodating both a fuel cell (FC) and photovoltaic (PV) cell; one output port with DC load. Due inductors at all ports, it claims advantage of continuous currents. Additionally, uses less number switches, diodes compared conventional ‘n-1’ separate converters. Synthesis procedure for generalized n-port structure...
In this paper, a four-port DC-DC converter(FPC) is proposed for electric vehicle application integrated with renewable sources and energy storage system. The four port of the converter two input, one bidirectional port, output. charging, discharging states disturbance at input side are controlled. detailed analysis simulation presented in paper. non-isolated type hence compact size achieved.
The main core of this paper is to design a speed control system the Permanent Magnet DC (PMDC) Motor at desired (set point) through technique soft computing based self tuning Proportional - Integral-Derivative controller which designed in platform LabVIEW program, and real time Speed motor was realized by using DAQ (Data Acquisition) device. application (Fuzzy Logic) PID imparts it ability itself automatically an on-line process while makes give Desired searching for best set solutions...
Abstract High-heat-flux-density data centres face significant thermal management challenges, particularly those for 5G and AI applications. Elevated processor temperatures lead to frequent throttling non-uniform stresses, negatively impacting server performance reliability. This highlights the need effective strategies. Machine learning-based temperature prediction algorithms have shown promise in proactively managing condition of system. In his study, a Raspberry Pi 4 Model B+ was immersed...
This work aims to study the compensation techniques used in wireless power transfer for Electric Vehicle (EV) charging application. Though there are several topologies conversion Dual Active Bridge (DAB) configuration, better suits with its bidirectionality, high density, ease of implementation and so on. Compensation network enhances performance DAB providing constant current (CC) or voltage (CV) according battery status. paper details on LCC-LCC topology LCC- S topologies. The design...
Background: Antibiotics are commonly used in pediatric illness and irrational use of antibiotics can lead to bacterial resistance. Appropriate studies should be done frame proper guidelines for the population. The objective study was determine prescribing pattern analyze rational department.Methods: An observational prospective carried out a period 3 months Department Pediatrics. data were recorded specific format, result analyzed by descriptive statistics.Results: In this study, 347...