Review of optimization strategies for system-level design in hybrid electric vehicles
Artikel i vetenskaplig tidskrift, 2016

The optimal design of a hybrid electric vehicle can be formulated as a multi-objective optimization problem that spreads over multiple levels (technology, topology, size and control). In the last decade, studies have shown that, by integrating these optimization levels fuel benefits are obtained, which go beyond the results achieved with solely optimal control for a given topology. Due to the large number of variables for optimization, their diversity, the nonlinear and multi-objective nature of the problem, a variety of methodologies have been developed. This review article presents a comprehensive analysis of the various methodologies developed and identifies challenges for future research. Starting from a general description of the problem, with examples found in the literature, we categorize the types of optimization problems and methods used. To offer a complete analysis, we broaden the scope of the search to several sectors of transport, such as naval or ground.

Multi-level optimal design

powertrain design

optimization methods

driving cycle

hybrid electric vehicles

coordination methods

Författare

Emilia Silvas

Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO)

Technische Universiteit Eindhoven

Theo Hofman

Technische Universiteit Eindhoven

Nikolce Murgovski

Signaler och system, System- och reglerteknik, Mekatronik

Pascal Etman

Technische Universiteit Eindhoven

Maarten Steinbuch

Technische Universiteit Eindhoven

IEEE Transactions on Vehicular Technology

0018-9545 (ISSN)

Vol. 66 57-70

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Energi

Ämneskategorier

Beräkningsmatematik

Reglerteknik

DOI

10.1109/TVT.2016.2547897