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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/29021
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DC FieldValueLanguage
dc.contributor.advisorEmadi, Ali-
dc.contributor.authorOrr, Matthieu-
dc.date.accessioned2023-10-10T18:05:22Z-
dc.date.available2023-10-10T18:05:22Z-
dc.date.issued2023-
dc.identifier.urihttp://hdl.handle.net/11375/29021-
dc.description.abstractThe increasing demand for sustainable transportation solutions has led to the rapid evolution of hybrid and electric vehicles. This thesis, undertaken as part of the EcoCAR Mobility Challenge, presents the development and implementation of a control system for a P4 parallel through-the-road hybrid electric vehicle. A comprehensive vehicle model was developed using MATLAB Simulink. This model was used to model overall vehicle performance and component-specific performance throughout the EcoCAR Mobility Challenge and served as the foundation for the subsequent stages of control system development. Extensive component and vehicle testing formed the crux of this thesis. These bench tests provide invaluable data that aided in the implementation of the component control loops into the MAC Team vehicle. On-road vehicle testing further refined the energy management strategy, drivability, and charge sustaining of the high voltage battery. The vehicle control system has 10 control modules that successfully operated the MAC Team vehicle for over 1500km on public roads. The methodologies and findings can guide future projects aiming to optimize hybrid vehicle performance.en_US
dc.language.isoenen_US
dc.subjectHybrid Electric Vehicleen_US
dc.subjectControl Systemen_US
dc.subjectMathematical Modelen_US
dc.titleDevelopment and Implementation of a P4 Parallel Through-the-Road Hybrid Electric Vehicleen_US
dc.typeThesisen_US
dc.contributor.departmentMechanical Engineeringen_US
dc.description.degreetypeThesisen_US
dc.description.degreeMaster of Applied Science (MASc)en_US
dc.description.layabstractWith hybrid electric vehicles and electric vehicles rising in popularity, the EcoCAR Mobility Challenge and its sponsors created an opportunity for McMaster University and 10 other universities across North America to modify a 2019 Chevrolet Blazer into a hybrid electric vehicle. This thesis focuses on the development of the control strategy for the McMaster University vehicle. A mathematical vehicle model was developed to run vehicle simulations in order to evaluate vehicle performance and the performance of individual components. Individual components were tested in order to develop control loops for these components. These control loops and other control modules were used during vehicle testing. On-road vehicle testing refined the vehicle control strategy evidenced by the over 1500km driven on public roads.en_US
Appears in Collections:Open Access Dissertations and Theses

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