Modeling and Optimization of Vehicle Drivetrain Dynamic Performance Considering Uncertainty

1. Model (Transfer Function) Output Input Uncertainty (Quantified) Uncertainty (Calculated) Uncertainty (Quantified) Modeling and Optimization of Vehicle Drivetrain Dynamic Performance Considering Uncertainty Zissimos P. Mourelatos; Associate Professor Daniel Wehrwein; Graduate Student Objectives • Model the powertrain and drivetrain in order to simulate dynamic vehicle performance. • Optimize the drivetrain parameters for better fuel economy and wide open throttle acceleration. • Use probabilistic design optimization to ensure performance criteria are met in the presence of uncertainty. Vehicle Model Components Driveline Model • Bond Graph Method is used. • Bond Graphing is an energy base, compact modeling technique that is modular and compatible with block diagrams. Driveline Equivalent Block diagram Design Under Uncertainty • Deterministic Optimization Results: • Fuel economy increased 16% • 0-90 time improved 4.5% • 0-60 time improved 4.7% Simulation was performed in Simulink using the equivalent block diagram of the Bond Graph model. List of Constraints Problem Formulation • Probabilistic Optimization Results: • Fuel economy increased 11% • 0-90 time improved 3.9% • 0-60 time improved 4.5% 2. Possibility-based optimization design