LAPSE:2019.0023
Published Article
LAPSE:2019.0023
Implementation of Rapid Prototyping Tools for Power Loss and Cost Minimization of DC-DC Converters
Amruta V. Kulkarni, Weiqiang Chen, Ali M. Bazzi
January 7, 2019
In this paper, power loss and cost models of power electronic converters based on converter ratings and datasheet information are presented. These models aid in creating rapid prototypes which facilitate the component selection process. Through rapid prototyping, users can estimate power loss and cost which are essential in design decisions. The proposed approach treats main power electronic components of a converter as building blocks that can be arranged to obtain multiple topologies to facilitate rapid prototyping. In order to get system-level power loss and cost models, two processes are implemented. The first process automatically provides minimum power loss or cost estimates and identifies components for specific applications and ratings; the second process estimates power losses and costs of each component of interest as well as the whole system. Two examples are used to illustrate the proposed approaches—boost and buck converters in continuous conduction mode. Achieved cost and loss estimates are over 93% accurate when compared to measured losses and real cost data. This research presents derivations of the proposed models, experimental validation of the models and demonstration of a user friendly interface that integrates all the models. Tools presented in this paper are expected to be very useful for practicing engineers, designers, and researchers, and are flexible and adaptable with changing or new technologies and varying component prices.
Keywords
DC-DC converters, design methodology, design optimization, rapid prototyping, user centered design, user interface
Subject
Suggested Citation
Kulkarni AV, Chen W, Bazzi AM. Implementation of Rapid Prototyping Tools for Power Loss and Cost Minimization of DC-DC Converters. (2019). LAPSE:2019.0023
Author Affiliations
Kulkarni AV: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA
Chen W: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA
Bazzi AM: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA [ORCID]
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Journal Name
Energies
Volume
9
Issue
7
Article Number
E509
Year
2016
Publication Date
2016-07-01
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en9070509, Publication Type: Journal Article
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LAPSE:2019.0023
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doi:10.3390/en9070509
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Jan 7, 2019
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CC BY 4.0
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Jan 7, 2019
 
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Original Submitter
Calvin Tsay
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