Model predictive control for Energy Management of a hybrid energy storage system in Light Rail Vehicles

Cheng, L; Acuna, P; Aguilera, RP; Jiang, J; Flecther, J; Baier, C

Model predictive control for Energy Management of a hybrid energy storage system in Light Rail Vehicles

Cheng, L Acuna, P Aguilera, RP Jiang, J Flecther, J Baier, C

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2017, 2017, pp. 683-688
Issue Date:: 2017-04-28

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Field	Value	Language
dc.contributor.author	Cheng, L
dc.contributor.author	Acuna, P
dc.contributor.author	Aguilera, RP
dc.contributor.author	Jiang, J
dc.contributor.author	Flecther, J
dc.contributor.author	Baier, C
dc.date	2016-04-04
dc.date.accessioned	2023-03-27T02:49:34Z
dc.date.available	2023-03-27T02:49:34Z
dc.date.issued	2017-04-28
dc.identifier.citation	2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2017, 2017, pp. 683-688
dc.identifier.isbn	9781509049639
dc.identifier.issn	2166-9546
dc.identifier.uri	http://hdl.handle.net/10453/168557
dc.description.abstract	© 2017 IEEE. A model predictive control (MPC) for an onboard hybrid energy storage system (HESS) in Light Rail Vehicles is proposed. The HESS uses batteries and supercapacitors (SCs). The main objective of the controller is to reduce the system losses while maintaining the supercapacitors state-of-charge (SOC) in a suitable range. To do this, a hierarchical control (Master/Slave) is proposed: a master energy management MPC controller which generates the battery current reference and an slave MPC algorithm controls the power switches of the converters. Additionally, the capability to constraint the battery current reference and battery current is achieved by both controllers respectively. Simulation results, carried out in MATLAB/Simulink, show that the SC SOC is maintained in a suitable range.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2017
dc.relation.ispartof	11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
dc.relation.ispartofseries	Compatibility Power Electronics and Power Engineering
dc.relation.isbasedon	10.1109/CPE.2017.7915255
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Model predictive control for Energy Management of a hybrid energy storage system in Light Rail Vehicles
dc.type	Conference Proceeding
utslib.location.activity	Cadiz, SPAIN
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-03-27T02:49:33Z
pubs.finish-date	2016-04-06
pubs.publication-status	Published
pubs.start-date	2016-04-04

Abstract:

© 2017 IEEE. A model predictive control (MPC) for an onboard hybrid energy storage system (HESS) in Light Rail Vehicles is proposed. The HESS uses batteries and supercapacitors (SCs). The main objective of the controller is to reduce the system losses while maintaining the supercapacitors state-of-charge (SOC) in a suitable range. To do this, a hierarchical control (Master/Slave) is proposed: a master energy management MPC controller which generates the battery current reference and an slave MPC algorithm controls the power switches of the converters. Additionally, the capability to constraint the battery current reference and battery current is achieved by both controllers respectively. Simulation results, carried out in MATLAB/Simulink, show that the SC SOC is maintained in a suitable range.

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http://hdl.handle.net/10453/168557