Small engine oxygen depletion shutoff algorithm and implementation

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dc.contributor Ricks, Kenneth G.
dc.contributor Li, Shuhui
dc.contributor Puzinauskas, P.
dc.contributor.advisor Haskew, Tim A.
dc.contributor.author Spiegel, Joshua Paul
dc.date.accessioned 2017-03-01T16:37:19Z
dc.date.available 2017-03-01T16:37:19Z
dc.date.issued 2012
dc.identifier.other u0015_0000001_0001139
dc.identifier.other Spiegel_alatus_0004M_11355
dc.identifier.uri https://ir.ua.edu/handle/123456789/1616
dc.description Electronic Thesis or Dissertation
dc.description.abstract During periods of power loss, gasoline portable generators can be used to provide power to objects such as household appliances and tools which would otherwise be useless. Such generators, however, can pose an immediate health risk and become potentially fatal if not used properly due to their poisonous carbon monoxide (CO) emissions. In an effort to prevent hazardous operating environments and dangerous situations, a previous contract between The University of Alabama (UA) and Consumer Product Safety Commission (CPSC) involved the design of a low CO emissions generator and implementation of an oxygen depletion safety shutdown feature. However, the algorithm developed for generator shutdown was based on a heuristic strategy and possessed several shortcomings in the way of nuisance shutoffs and response time. Another contract between UA and CPSC was initiated for purposes of improving upon the previous safety shutoff algorithm for a Coleman Powermate 7000 generator already modified for low CO emissions. A new shutdown feature was developed based on an oxygen estimation algorithm executed without the use of emissions sensors. The oxygen estimation algorithm was initially derived heuristically, based on test data collected at the National Institute of Standards and Technology (NIST) during the previous contract. It was the effort of creating a more reliable oxygen depletion shutdown algorithm across a broad spectrum of real-life operating scenarios from which this thesis resulted. This thesis presents the development, implementation, and testing of the new oxygen estimation based shutdown algorithm with an engine management system (EMS) equipped gasoline powered generator.
dc.format.extent 125 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Electrical engineering
dc.subject.other Mechanical engineering
dc.title Small engine oxygen depletion shutoff algorithm and implementation
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Dept. of Electrical and Computer Engineering
etdms.degree.discipline Electrical and Computer Engineering
etdms.degree.grantor The University of Alabama
etdms.degree.level master's
etdms.degree.name M.S.


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