Towards a generic control-oriented model for HEV predictive energy management

Nicoleta Stroe 1, 2, 3 Guillaume Colin 2 Karim Ben-Cherif 1 Sorin Olaru 4, 3 Yann Chamaillard 2
2 F2ME
PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
4 DISCO - Dynamical Interconnected Systems in COmplex Environments
L2S - Laboratoire des signaux et systèmes, Inria Saclay - Ile de France, SUPELEC, CNRS - Centre National de la Recherche Scientifique : UMR8506
Abstract : The increased interest in model-based control techniques for the energy management of hybrid electric vehicles has led to a focus on generic modeling in order to allow an effective integration in model-based design procedures. An architecture-free model ensures modularity with a view to control design. Under mild assumptions, a generic model for the torque and the rotational speed of a hybrid electric vehicle is proposed in this article. In addition, the mathematical formulation of the fuel consumption minimization and the intrinsic problem of torque split are addressed. In order to illustrate its ability to handle the constraints, a model predictive control formulation is presented and applied to a dual-clutch transmission hybrid architecture.
Document type :
Conference papers
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal-univ-orleans.archives-ouvertes.fr/hal-01338065
Contributor : Guillaume Colin <>
Submitted on : Monday, June 27, 2016 - 5:30:34 PM
Last modification on : Monday, July 16, 2018 - 4:01:54 PM

File

IFAC_AAC2016_STROE_VF.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01338065, version 1

Citation

Nicoleta Stroe, Guillaume Colin, Karim Ben-Cherif, Sorin Olaru, Yann Chamaillard. Towards a generic control-oriented model for HEV predictive energy management. 8th IFAC International Symposium on Advances in Automotive Control (AAC2016), Jun 2016, Kolmarden, Sweden. pp.266-271. ⟨hal-01338065⟩

Share

Metrics

Record views

938

Files downloads

437