Evidence map›Paper›PMID 39488651›Full record

ArticleScientific reports2024

Optimal power generation of proton exchange membrane fuel cell using ANFIS based MPPT algorithm.

Devakirubakaran S, Bharatiraja C, Narasimha Prasad T, Praveen Kumar B, Shitharth S

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
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. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Devakirubakaran SCenter for Smart Energy Systems, Chennai Institute of Technology, Chennai, Tamilnadu, India.
Bharatiraja CCenter for Electric Mobility, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, 603203, Chengalpattu, Tamil Nadu, India. bharatiraja@gmail.com.
Narasimha Prasad TDepartment of Electrical and Electronics Engineering, St. Ann's college of engineering and technology, Chirala, Andhra Pradesh, India.
Praveen Kumar BDepartment of Electrical and Electronics Engineering, Vardhaman College of Engineering, Hyderabad, India.
Shitharth SDepartment of CSE, Kebri Dehar University, Somali, Ethiopia. shitharths@kdu.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fuel cells are the most promising energy source for the future energy demand. The automobile industry is looking at the integration of fuel cells with electric vehicles (EV). This integration comes with many challenges like dynamic operational behaviors. For operating the fuel cell with maximum efficiency, this work proposes an Adaptive Neuro Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) method. The hydrogen flow rate, pressure and stack temperature are the parameters considered to track the maximum power point of the fuel cell. The ANFIS-MPPT algorithm has been integrated with the 1.26 kW fuel cell in MATLAB/Simulink

Indexed as

Adaptive Neuro-Fuzzy Inference SystemFuel CellMaximum Power Point TrackingOptimum operating point

Identifiers

PMID39488651
PMCPMC11531494

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.