A control benchmark on the energy management of a plug-in hybrid electric vehicle.
hal.structure.identifier | IFP Energies nouvelles [IFPEN] | |
dc.contributor.author | SCIARRETTA, Antonio | |
hal.structure.identifier | Dana Corporation | |
dc.contributor.author | SERRAO, Lorenzo | |
hal.structure.identifier | IFP Energies nouvelles [IFPEN] | |
dc.contributor.author | DEWAGAN, Prakash Chandra | |
hal.structure.identifier | IFP Energies nouvelles [IFPEN] | |
dc.contributor.author | TONA, Paolino | |
hal.structure.identifier | Technische Universiteit Eindhoven [TU Eindhovein] | |
dc.contributor.author | BERGSHOEFF, E.N.D. | |
hal.structure.identifier | University of Sevilla | |
dc.contributor.author | BORDONS, C. | |
hal.structure.identifier | IFP Energies nouvelles [IFPEN] | |
dc.contributor.author | CHARMPA, E. | |
hal.structure.identifier | Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] [ETH Zürich] | |
dc.contributor.author | ELBERT, P. | |
hal.structure.identifier | Linköping University [LIU] | |
dc.contributor.author | ERIKSSON, L. | |
hal.structure.identifier | Technische Universiteit Eindhoven [TU/e] | |
dc.contributor.author | HOFMAN, T. | |
hal.structure.identifier | Technische Universiteit Eindhoven [TU/e] | |
dc.contributor.author | HUBACHER, H. | |
hal.structure.identifier | Technische Universiteit Eindhoven [TU/e] | |
dc.contributor.author | ISENEGGER, P. | |
hal.structure.identifier | The Ohio State University [Columbus] [OSU] | |
dc.contributor.author | LACANDIA, F. | |
hal.structure.identifier | Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] [ETH Zürich] | |
dc.contributor.author | LAVEAU, A. | |
hal.structure.identifier | IFP Energies nouvelles [IFPEN] | |
dc.contributor.author | LI, H. | |
hal.structure.identifier | University of Sevilla | |
dc.contributor.author | MARCOS, D. | |
hal.structure.identifier | Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] [ETH Zürich] | |
dc.contributor.author | NÜESCH, T. | |
hal.structure.identifier | The Ohio State University [Columbus] [OSU] | |
dc.contributor.author | ONORI, S. | |
hal.structure.identifier | Clemson University | |
dc.contributor.author | PISU, P. | |
hal.structure.identifier | Clemson University | |
dc.contributor.author | RIOS, J. | |
hal.structure.identifier | Technische Universiteit Eindhoven [TU/e] | |
dc.contributor.author | SILVAS, E. | |
hal.structure.identifier | Linköping University [LIU] | |
dc.contributor.author | SIVERTSSON, M. | |
hal.structure.identifier | The Ohio State University [Columbus] [OSU] | |
dc.contributor.author | TRIBOLI, L. | |
hal.structure.identifier | Technische Universiteit Eindhoven [TU/e] | |
dc.contributor.author | VAN DER HOEVEN, A.-J. | |
hal.structure.identifier | IFP Energies nouvelles [IFPEN] | |
dc.contributor.author | HU, M. | |
dc.date.issued | 2014-08-01 | |
dc.identifier.issn | 0967-0661 | |
dc.description.abstractEn | A benchmark control problem was developed for a special session of the IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling (E-COSM 12), held in Rueil-Malmaison, France, in October 2012. The online energy management of a plug-in hybrid-electric vehicle was to be developed by the benchmark participants. The simulator, provided by the benchmark organizers, implements a model of the GM Voltec powertrain. Each solution was evaluated according to several metrics, comprising of energy and fuel economy on two driving profiles unknown to the participants, acceleration and braking performance, computational performance. The nine solutions received are analyzed in terms of the control technique adopted (heuristic rule-based energy management vs. equivalent consumption minimization strategies, ECMS), battery discharge strategy (charge depleting-charge sustaining vs. blended mode), ECMS implementation (vector-based vs. map-based), ways to improve the implementation and improve the computational performance. The solution having achieved the best combined score is compared with a global optimal solution calculated offline using the Pontryagin's minimum principle-derived optimization tool HOT. | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.subject.en | supervisory control | |
dc.subject.en | plug-in hybride lectricvehicles | |
dc.subject.en | energy management | |
dc.subject.en | optimal control | |
dc.subject.en | rule-based control | |
dc.title.en | A control benchmark on the energy management of a plug-in hybrid electric vehicle. | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1016/j.conengprac.2013.11.020 | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Autre | |
bordeaux.journal | Control Engineering Practice | |
bordeaux.page | 287-298 | |
bordeaux.volume | 29 | |
bordeaux.issue | August | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01069628 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01069628v1 | |
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