Modeling, design, analysis, and control of a parallel hybrid electric vehicle drivetrain including optimal drive mode operation

Prototyping of HEV powertrains is cumbersome, expensive, and time-consuming. Thus, design optimization is the most feasible alternative process for accomplishing a good design. This Project will identify key system components and develop a high-fidelity model of the hybrid drivetrain capturing key dynamics. Modes such as engine mode, motor mode, hybrid-parallel mode, regenerative braking mode, and driving modes, such as crawling, take-off, cruise, traffic mode, heavy and frequent braking mode, will be investigated. Finally, a multi-body dynamic model will be developed for a small vehicle and iterative testing will be conducted at different standard drive cycles to analyze the acceleration performance, e.g., maximum speed, acceleration time, maximum grade, and travel range, and fuel economy, including power consumption and greenhouse gas emissions in addition to the robustness of the adaptive control algorithms.

Faculty Supervisor:

Sheldon Williamson

Student:

Chandan Chetri, Latha Anekal, Ruvini Wathsala De Seram Edirisooriya Mohottige

Partner:

Customachinery Inc.

Discipline:

Engineering

Sector:

Clean Technology, Automotive, Transportation

University:

Ontario Tech University