A Programmatic Method For Selecting Transistors For High-Frequency Class-E Amplifiers

dc.contributor.authorO'Connor, Billie
dc.contributor.authorRouse, Chris
dc.contributor.authorPeterson, Brent
dc.date.accessioned2024-02-28T19:10:45Z
dc.date.available2024-02-28T19:10:45Z
dc.date.issued2023-08-22
dc.description.abstractRadiative wireless power transfer at high efficiency can be achieved with Class-D or Class-E amplifiers. These amplifiers have achievable efficiencies that can be very high but heavily depend on transistor selection. The objective of this work was to partially automate the selection process to quickly generate near-optimal Class-E amplifier designs entirely within MATLAB®. The candidate transistor SPICE models were parsed and converted into a system of first-order ordinary differential equations. A non-stiff numerical solver was used to find steady- state solutions for candidate circuits. A simplex search algorithm was used to find the maximum-efficiency candidate circuit for the transistor. The results were also simulated in LTspice® to confirm accuracy. Eighty-four transistors were compared and seven were found to have high efficiency capabilities at 2.45 GHz. The best performing device achieved 60.6% power-added efficiency in MATLAB®, and the same device achieved 53.0% power-added efficiency in LTSpice®. The incongruency between this work and LTSpice® was small enough to justify its use for eliminating large numbers of candidate transistors.
dc.description.copyrightCopyright © 2023, IEEE
dc.identifier.isbn979-8-3503-3737-2
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/37727
dc.language.isoen
dc.publisherIEEE
dc.relationNew Brunswick Innovation Foundation
dc.relationUniversity of New Brunswick
dc.relation.hasversion10.1109/WPTCE56855.2023.10215845
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineElectrical and Computer Engineering
dc.titleA Programmatic Method For Selecting Transistors For High-Frequency Class-E Amplifiers
dc.typeconference proceedings
oaire.citation.conferenceDate2023-07
oaire.citation.conferencePlaceSan Diego, CA, USA
oaire.citation.title2023 IEEE Wireless Power Technology Conference and Expo (WPTCE)
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2023100509.pdf
Size:
394.04 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.13 KB
Format:
Item-specific license agreed upon to submission
Description: