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  4/2010 - 18

 HIGH-IMPACT PAPER 

Adaptive Passivity-Based Control of PEM Fuel Cell/Battery Hybrid Power Source for Stand-Alone Applications

TOFIGHI, A. See more information about TOFIGHI, A. on SCOPUS See more information about TOFIGHI, A. on IEEExplore See more information about TOFIGHI, A. on Web of Science, KALANTAR, A. See more information about KALANTAR, A. on SCOPUS See more information about KALANTAR, A. on SCOPUS See more information about KALANTAR, A. on Web of Science
 
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Download PDF pdficon (1,025 KB) | Citation | Downloads: 1,949 | Views: 5,042

Author keywords
adaptive passivity-based control, batteries, fuel cells, hybrid power systems, load management

References keywords
control(29), power(27), fuel(19), cell(17), energy(14), electronics(12), passivity(10), modeling(10), hybrid(10), dynamic(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-11-30
Volume 10, Issue 4, Year 2010, On page(s): 111 - 120
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.04018
Web of Science Accession Number: 000284782700018
SCOPUS ID: 78649707648

Abstract
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In this paper, a DC hybrid power source composed of PEM fuel cell as main source, Li-ion battery storage as transient power source and their power electronic interfacing is modelled based on Euler-Lagrange framework. Subsequently, adaptive passivity-based controllers are synthesized using the energy shaping and damping injection technique. Local asymptotic stability is insured as well. In addition, the power management system is designed in order to manage power flow between components. Evaluation of the proposed system and simulation of the hybrid system are accomplished using MATLAB/Simulink. Afterwards, linear PI controllers are provided for the purpose of comparison with proposed controllers responses. The results show that the outputs of hybrid system based on adaptive passivity-based controllers have a good tracking response, low overshoot, short settling time and zero steady-state error. The comparison of results demonstrates the robustness of the proposed controllers for reference DC voltage and resistive load changes.


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References Weight

Web of Science® Citations for all references: 5,113 TCR
SCOPUS® Citations for all references: 6,649 TCR

Web of Science® Average Citations per reference: 119 ACR
SCOPUS® Average Citations per reference: 155 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-10-05 03:30 in 189 seconds.




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