Thermal network model development for an extended range electric vehicle battery pack with experimental verification through dynamic environmental exposure

dc.contributor.advisorRohrauer, Greg
dc.contributor.authorFilion, Ryan
dc.date.accessioned2017-11-23T17:27:38Z
dc.date.accessioned2022-03-29T16:41:27Z
dc.date.available2017-11-23T17:27:38Z
dc.date.available2022-03-29T16:41:27Z
dc.date.issued2017-01-01
dc.degree.disciplineAutomotive Engineering
dc.degree.levelMaster of Applied Science (MASc)
dc.description.abstractThe objective was to develop a thermal model of the Chevrolet Volt battery pack, with focused on the influence of packaging components external to the cell modules, and on the pack’s response to ambient environmental influences. The thermal network was refined experimentally using heat flux and temperature measurements on a production vehicle battery pack. The initial model representing lab conditions produced simulation results with very good accuracy, comparable to the level of signal noise itself. The verified lab model was then modified to match the environment of the real vehicle, considering engine bay temperature, chassis temperature, underbody convection, and road radiation. This full thermal model was verified using road test data, and reproduced temperature and heat flow with accuracy comparable to the lab test runs. The final thermal network can be employed to perform a dynamic thermal analysis through a wide range of drive profiles combined with environmental exposure conditions.en
dc.description.sponsorshipUniversity of Ontario Institute of Technologyen
dc.identifier.urihttps://hdl.handle.net/10155/849
dc.language.isoenen
dc.subjectBattery pack thermal modelen
dc.subjectThermal networken
dc.subjectHeat flux measurementen
dc.subjectChevrolet Volten
dc.subjectPHEVen
dc.titleThermal network model development for an extended range electric vehicle battery pack with experimental verification through dynamic environmental exposureen
dc.typeThesisen
thesis.degree.disciplineAutomotive Engineering
thesis.degree.grantorUniversity of Ontario Institute of Technology
thesis.degree.nameMaster of Applied Science (MASc)

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