Time-varying MPC-based energy management for HEV including engine stop & start

Nicoleta Stroe 1 Sorin Olaru 2, 3 Guillaume Colin 4 Karim Ben-Cherif 1 Yann Chamaillard 4
1 Technocentre Renault [Guyancourt]
2 DISCO - Dynamical Interconnected Systems in COmplex Environments
L2S - Laboratoire des signaux et systèmes, Inria Saclay - Ile de France
3 L2S - Laboratoire des signaux et systèmes
4 PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
Abstract : —In this paper, the energy management of hybrid electric vehicles is considered and two problems are addressed: torque split and engine stop-start policies. Model predictive control potential is proven especially for the decision to stop the engine at the proper moment and also to anticipate engine restart. A piecewise linear polynomial with respect to torque is used to approximate the fuel consumption and it will be shown that its partition can be exploited to implicitly consider engine stop decision. The strategy is applied to a dual-clutch transmission hybrid architecture which was simulated on a high-fidelity vehicle model.
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download
https://hal-centralesupelec.archives-ouvertes.fr/hal-01429252
Contributor : Sorin Olaru <>
Submitted on : Wednesday, February 28, 2018 - 2:13:01 PM
Last modification on : Friday, December 20, 2019 - 11:48:05 AM
Long-term archiving on: Wednesday, May 23, 2018 - 11:00:42 AM

Files

conf.pdf
Files produced by the author(s)

Identifiers

Collections

CENTRALESUPELEC | SUP_SYSTEMES | SUP_LSS | CNRS | MSL | MSL-THESE | TDS-MACS | L2S | INRIA | UNIV-ORLEANS | UNIV-PARIS-SACLAY | PRISME-CVL

Citation

Nicoleta Stroe, Sorin Olaru, Guillaume Colin, Karim Ben-Cherif, Yann Chamaillard. Time-varying MPC-based energy management for HEV including engine stop & start. 20th International Conference on System Theory, Control and Computing (ICSTCC), Oct 2016, Sinaia, Romania. pp.790 - 795, ⟨10.1109/ICSTCC.2016.7790764⟩. ⟨hal-01429252⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

770

Files downloads

399

Contact

Informations

CCSD