Matthew John Shelton

Iterative model and trajectory refinement for launch optimization of automotive powertrains

Abstract A recently proposed iterative model and trajectory refinement (IMTR) approach is applied to launch control of an automotive powertrain with a turbocharged gasoline engine and a dual-clutch transmission. The optimal clutch torque trajectory is determined by a piecewise linear in time function that minimizes a cost function while meeting multiple constraints on vehicle acceleration and engine speed. A high-fidelity model of the powertrain and a simplified physics-based model are used iteratively to refine solutions. The iterative method converges on a solution that meets target performance metrics with efficient execution time.