Development and Implementation of Control System for an Advanced Multi-Regime Series-Parallel Plug-in Hybrid Electric Vehicle

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dc.contributor.authorPrescott, Daniel
dc.contributor.supervisorDong, Zuomin
dc.date.accessioned2015-08-28T17:56:33Z
dc.date.available2015-08-28T17:56:33Z
dc.date.copyright2015en_US
dc.date.issued2015-08-28
dc.degree.departmentDepartment of Mechanical Engineering
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractFollowing the Model-Based-Design (MBD) development process used presently by the automotive industry, the control systems for a new Series-Parallel Multiple-Regime Plug-in Hybrid Electric Vehicle (PHEV), UVic EcoCAR2, have been developed, implemented and tested. Concurrent simulation platforms were used to achieve different developmental goals, with a simplified system power loss model serving as the low-overhead control strategy optimization platform, and a high fidelity Software-in-Loop (SIL) model serving as the vehicle control development and testing platform. These two platforms were used to develop a strategy-independent controls development tool which will allow deployment of new strategies for the vehicle irrespective of energy management strategy particulars. A rule-based energy management strategy was applied and calibrated using genetic algorithm (GA) optimization. The concurrent modeling approach was validated by comparing the vehicle equivalent fuel consumption between the simplified and SIL models. An equivalency factor (EF) of 1 was used in accounting for battery state of charge (SOC) discrepancies at cycle end. A recursively-defined subsystem efficiency-based EF was also applied to try to capture real-world equivalency impacts. Aggregate results between the two test platforms showed translation of the optimization benefits though absolute results varied for some cycles. Accuracy improvements to the simplified model to better capture dynamic effects are recommended to improve the utility of the newly introduced vehicle control system development method. Additional future work in redefining operation modes and mode transition threshold conditions to approximate optimal vehicle operation is recommended and readily supported by the control system platform developed.en_US
dc.description.proquestcode0540en_US
dc.description.proquestcode0548en_US
dc.description.proquestcode0790en_US
dc.description.proquestemaild.e.prescott@gmail.comen_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/6590
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectAutomobileen_US
dc.subjectHybrid Vehicleen_US
dc.subjectplug-in hybriden_US
dc.subjectPHEVen_US
dc.subjectHEVen_US
dc.subjectEVen_US
dc.subjectoptimal controlsen_US
dc.subjectvehicle driveability constraintsen_US
dc.subjectcontrol system developmenten_US
dc.subjectautomotive designen_US
dc.titleDevelopment and Implementation of Control System for an Advanced Multi-Regime Series-Parallel Plug-in Hybrid Electric Vehicleen_US
dc.typeThesisen_US

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