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On-Line Energy Management Strategy For Hybrid Electric Vehicles Based On AMPC

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dc.contributor.authorMa, Jun
dc.contributor.authorShah, A. F. M. Shahen
dc.contributor.authorBaysal, Mustafa
dc.contributor.authorIlhan, Haci
dc.date.accessioned2026-06-27T14:10:07Z
dc.date.issued2017
dc.description.abstractIn this paper, Adaptive Model Predictive Control (AMPC) based Energy Management Strategy (EMS) for Hybrid Electric Vehicles (HEVs) is proposed to minimize the hydrogen consumption and to increase the energy sources lifetime. The EMS problem is simplified according to the control structure of the vehicle. Moreover, adaptive algorithm is used to dynamically adjust the weights of targets. The Energetic Macroscopic Representation(EMR) and control scheme of the vehicle is implemented in MATLAB-Simulink (TM). To test the performance two standard driving cycles and a real urban cycle are used. The simulation results of proposed AMPC show a noticeable improvement in fuel economy and battery charge-sustainability.en
dc.identifier.endpage189
dc.identifier.isbn978-1-5386-1723-6
dc.identifier.startpage185
dc.identifier.urihttps://hdl.handle.net/20.500.14981/57477
dc.identifier.wos000426978800029
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference10th International Conference on Electrical and Electronics Engineering (ELECO)
dc.relation.ispartof2017 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO)
dc.subjectEngineering
dc.titleOn-Line Energy Management Strategy For Hybrid Electric Vehicles Based On AMPC
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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