Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63923
Volume:
10 |
5 |
May 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electrical Engineering
Vidarbha Institute of Technology, Nagpur, Maharashtra, India
Department of Electrical Engineering
Vidarbha Institute of Technology, Nagpur, Maharashtra, India
Department of Electrical Engineering
Vidarbha Institute of Technology, Nagpur, Maharashtra, India
Department of Electrical Engineering
Vidarbha Institute of Technology, Nagpur, Maharashtra, India
The automotive industry is beginning to recognise fuel-cell electric cars, or FCEVs, as a way to meet increasingly strict fuel efficiency and carbon emission rules. The 1.26 kW Proton Exchange, also referred Microfiber Fuel Cell (PEMFC) that powers an electric vehicle engine via a high voltage-gain DC to DC boost converter is the main topic of the introduction. In the study, it is suggested that the PEMFC be equipped with a MPPT (Maximum Power Point Tracking), regulator that is based on neural networks. The recommended MPPT controller tracks the PEMFC's Maximum Power Point (MPP) using the radial base function Network (RBFN) algorithms. For optimal operation, FCEVs require high frequency as well as voltage gain DC as DC converters. In order to get better voltage gain, the research also investigates the creation of a customised three-phase high-voltage interleaved Boosting Converter (IBC) for the Fuel Cell electrical vehicle (FCEV) system. In order to lessen voltage stress upon semiconductor circuits and minimise input current ripple, The interleaving technique is used. This study evaluates and contrasts the Fuel Cell electrical vehicle (FCEV) system's performance using a fuzzy logic controller and a traditional radiation basis function Networks (RBFN)-based Maximum PowerPoint Tracking (MPPT) control unit. The MATLAB/Simulink environment is used to carry out the evaluation.
KEYWORDS
For FCEV applications, a three phases DC to direct current (DC) converter with a high voltage increase is advised. Minimising ripples in fuel cell current-injection or voltage stress for power semiconductor switches is the goal of this suggested converter. The article presents the RBFN-Based MPPT Method intended to maximise fuel cell output under different temperature conditions for a 1.26 kW PEMFC. The FLC MPPT controllers and the suggested MPPT technique are contrasted. According to simulation results, When compared to a fuzzy logic controller, the RBFN-based controller for MPPT tracks its maximum power point more quickly. Furthermore, at different fuel cell system temperatures, the performance parameters of the BLDC motor are examined, including electromagnetic speed, velocity, and back magnetic field.
1. Bharath.K.,Shishir K Jain, KottamVarun, Ramakrishna N. “Economic Analysis of Hyderabad Metro Rail Project”. International Journal of Technology , July – December, 2015; Vol. 5: Issue 2, 297-303 2. Detailed Project Report for Pune metro, prepared by Delhi Metro Rail Corporation Ltd.,2009 3. D.Goel and S.Gupta, “The effect of metro rail on air pollution in Delhi.”, Centre for Development Economics, 2014 4. J.C.Golias, “Analysis of traffic corridor impacts from the introduction of the new Athens Metro System”, Journal of Transport Geography, June 2002;Vol. 10, Issue 2, 91-97. 5. K.Chakraborty and T.G.Sitharam, “A methodology to evaluate socio-economic impact of metro railway stations of Bangalore: from dwellers perspective report.” IISC Bangalore (March 2013) 6. K.M. Neware (2018), “Impact of Nagpur metro on other transportation modes in terms of fuel consumption parameters.” IJIES, 2018, Vol. 3, No.4, 2018 7. M.N.Murty, K.Dhavala, M.Ghosh and R.Singh,”Social Cost-Benefit Analysis of Delhi Metro”, Institute of Economy Growth, Delhi, 2007, MPRA Paper No. 1658. 8. N.Sharma, A.Singh, R.Dhyani and S.Gaur), “Emission reduction from MRTS projects- A case study of Delhi metro”, Atmospheric Pollution Research, 2014, Vol. 5, Issue 4, 721-728. 9. P.Chib, “Optimization of Pune Metro Rail”, IJETT, 2014, Vol.17.297-304. 10. Report on Environmental impact assessment study for Ahemdabad metro rail project.
Publication Date
5/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
4
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...