Convex relaxations in the optimal control of electrified vehicles
Paper i proceeding, 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.

Författare

Nikolce Murgovski

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

Lars Johannesson

Chalmers, Signaler och system, System- och reglerteknik, Reglerteknik

Xiaosong Hu

Chalmers, Signaler och system, System- och reglerteknik, Reglerteknik

Bo Egardt

Chalmers, Signaler och system, System- och reglerteknik, Reglerteknik

Jonas Sjöberg

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

American Control Conference

0743-1619 (ISSN)

Vol. 2015-July 2292-2298

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Energi

Ämneskategorier

Beräkningsmatematik

Reglerteknik

Matematisk analys

DOI

10.1109/ACC.2015.7171074

ISBN

978-147998684-2