The 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. / Thesis / Master of Applied Science (MASc) / With 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.
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/29021 |
| Date | January 2023 |
| Creators | Orr, Matthieu |
| Contributors | Emadi, Ali, Mechanical Engineering |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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