Evidence map›Paper›PMID 39733166›Full record

ArticleScientific reports2024

A novel development of optimized hybrid MPPT controller for fuel cell systems with high voltage transformation ratio DC-DC converter.

Zaheda Sultana, C H Hussaian Basha, Mohammed Mujahid Irfan, Faisal Alsaif

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zaheda SultanaDepartment of Electrical & Electronics Engineering, SR University, Warangal, Telangana, 506371, India.
C H Hussaian BashaDepartment of Electrical & Electronics Engineering, SR University, Warangal, Telangana, 506371, India. hussaian.basha@sru.edu.in.
Mohammed Mujahid IrfanDepartment of Electrical & Electronics Engineering, SR University, Warangal, Telangana, 506371, India.
Faisal AlsaifDepartment of Electrical Engineering, College of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world is moving towards the utilization of hydrogen vehicle technology because its advantages are uniformity in power production, more efficiency, and high durability when compared to fossil fuels. So, in this work, the Proton Exchange Membrane Fuel Stack (PEMFS) device is selected for producing the energy for the hydrogen vehicle. The merits of this fuel technology are the possibility of operating less source temperature, and more suitability for stationery and transportation applications. Also, it provides a high amount of power density for heavy-duty electric vehicle applications. However, the major issue of the fuel stack technology is excessive current generation. Here, in the first objective, a Single Switch Wide Voltage Supply Converter (SSWVSC) is proposed to optimize the current levels of the fuel device thereby reducing the energy conduction losses of the entire system. In the 2nd objective, the duty cycle generation for the converter and handling of nonlinear energy generation of the fuel device has been done by introducing the Greywolf Optimization-dependent Adaptive neuro-fuzzy inference system (ANFIS). The features of this hybridization concept are less iteration number needed, less disturbance in MPP position, low stabilizing time of the fuel module production voltage, and more reliability. Here, the fuel module interfaced DC-DC circuit is studied by utilizing the MATLAB software and the introduced converter is tested only with programmable DC-Source.

Indexed as

Converter operationDuty signal generationFuel module efficiencyLess disturbances of MPPMore source voltage with good reliability

Identifiers

PMID39733166
PMCPMC11682321

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.