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In-vehicle validation of energy consumption modeling and simulation

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dc.contributor.authorDiDomenico, Gabriel, author
dc.contributor.authorBradley, Thomas, advisor
dc.contributor.authorQuinn, Jason, committee member
dc.contributor.authorPasricha, Sudeep, committee member
dc.date.accessioned2020-06-22T11:52:29Z
dc.date.available2020-06-22T11:52:29Z
dc.date.issued2020
dc.description.abstractThe Colorado State University (CSU) Vehicle Innovation Team (VIT) participated in the first Department of Energy (DOE) Advanced Vehicle Technology Competitions (AVTC) in 1988. Since then, it has participated in the next iterations of the competition as well as other advanced vehicle technology projects. This study aims to validate the team's mathematical modeling and simulation of electrical energy consumption of the EcoCAR 3 competition (academic years 2014-2018) as well as the testing methods used for validation. First, baseline simulation results are obtained by simulating a 0-60 mph wide open throttle (WOT, or 100% APP) acceleration event (AE) with the product being the electrical energy economy in Wh/mi. The baseline model (representing the baseline control strategy and vehicle parameters) is also simulated for 0-40 mph and 0-20 mph AEs. These tests are replicated in the actual vehicle, a 2016 P2 PHEV Chevrolet Camaro entirely designed and built by CSU's VIT. Next, the same AEs are again tested with a changed acceleration rate due to the APP being limited to 45%. The velocity profiles from these tests are used as feedback for the model and the tests are replicated in simulation. Finally, the baseline model is altered in 3 additional ways in order to understand their effect on electrical energy consumption: the mass is increased, then the auxiliary low voltage (LV) load is increased and then the transmission is restricted to only 1 gear. These simulations are again replicated in-vehicle in order to validate the model's capability in predicting changes in electrical energy consumption as certain vehicle parameters are changed. This study concludes that model is able to predict these changes within 6.5%, or ±30.2 Wh/mi with 95% confidence.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierDiDomenico_colostate_0053N_15870.pdf
dc.identifier.urihttps://hdl.handle.net/10217/208414
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjecthybrid electric vehicle
dc.subjectsystems engineering
dc.subjectelectrification
dc.subjectvalidation
dc.subjectsimulation
dc.titleIn-vehicle validation of energy consumption modeling and simulation
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineSystems Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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