Convex relaxations in the optimal control of electrified vehicles
Paper in proceedings, 2015

When controlling the energy flow in electrified powertrains by means of convex optimization, the typically non-convex set of the original formulation needs to be relaxed to a convex super-set. In this paper we show that when using the backward simulation approach, where vehicle velocity is equal to the reference velocity, the global optimum of the original non-convex problem can be obtained by solving the relaxed convex problem. When vehicle velocity is kept as a state in the problem, in the so called forward simulation approach, we provide a condition for which, when satisfied, an agreement will be achieved between the solutions of the relaxed and the original problem.

Author

Nikolce Murgovski

Chalmers, Signals and Systems, Systems and control, Mechatronics

Lars Johannesson

Chalmers, Signals and Systems, Systems and control, Automatic Control

Xiaosong Hu

Chalmers, Signals and Systems, Systems and control, Automatic Control

Bo Egardt

Chalmers, Signals and Systems, Systems and control, Automatic Control

Jonas Sjöberg

Chalmers, Signals and Systems, Systems and control, Mechatronics

American Control Conference

0743-1619 (ISSN)

Vol. 2015-July 2292-2298

Driving Forces

Sustainable development

Areas of Advance

Transport

Energy

Subject Categories

Computational Mathematics

Control Engineering

Mathematical Analysis

DOI

10.1109/ACC.2015.7171074

ISBN

978-147998684-2

More information

Created

10/7/2017