A robust online energy management strategy for fuel cell/battery hybrid electric vehicles

Wu, J; Zhang, N; Tan, D; Chang, J; Shi, W

A robust online energy management strategy for fuel cell/battery hybrid electric vehicles

Wu, J Zhang, N

Tan, D Chang, J Shi, W

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: International Journal of Hydrogen Energy, 2020, 45, (27), pp. 14093-14107
Issue Date:: 2020-05-18

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Field	Value	Language
dc.contributor.author	Wu, J
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044
dc.contributor.author	Tan, D
dc.contributor.author	Chang, J
dc.contributor.author	Shi, W
dc.date.accessioned	2020-10-19T21:50:24Z
dc.date.available	2020-10-19T21:50:24Z
dc.date.issued	2020-05-18
dc.identifier.citation	International Journal of Hydrogen Energy, 2020, 45, (27), pp. 14093-14107
dc.identifier.issn	0360-3199
dc.identifier.issn	1879-3487
dc.identifier.uri	http://hdl.handle.net/10453/143385
dc.description.abstract	© 2020 Hydrogen Energy Publications LLC Traditional optimization-based energy management strategies (EMSs) do not consider the uncertainty of driving cycle induced by the change of traffic conditions, this paper proposes a robust online EMS (ROEMS) for fuel cell hybrid electric vehicles (FCHEV) to handle the uncertain driving cycles. The energy consumption model of the FCHEV is built by considering the power loss of fuel cell, battery, electric motor, and brake. An offline linear programming-based method is proposed to produce the benchmark solution. The ROEMS instantaneously minimizes the equivalent power of fuel cell and battery, where an equivalent efficiency of battery is defined as the efficiency of hydrogen energy transforming to battery energy. To control the state of charge of battery, two control coefficients are introduced to adjust the power of battery in objective function. Another penalty coefficient is used to amend the power of fuel cell, which reduces the load change of fuel cell so as to slow the degradation of fuel cell. The simulation results indicate that ROEMS has good performance in both fuel economy and load change control of fuel cell. The most important advantage of ROEMS is its robustness and adaptivity, because it almost produces the optimal solution without changing the control parameters when driving cycles are changed.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	International Journal of Hydrogen Energy
dc.relation.isbasedon	10.1016/j.ijhydene.2020.03.091
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	03 Chemical Sciences, 09 Engineering
dc.subject.classification	Energy
dc.title	A robust online energy management strategy for fuel cell/battery hybrid electric vehicles
dc.type	Journal Article
utslib.citation.volume	45
utslib.for	03 Chemical Sciences
utslib.for	09 Engineering
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 Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-10-19T21:50:15Z
pubs.issue	27
pubs.publication-status	Published
pubs.volume	45
utslib.citation.issue	27

Abstract:

© 2020 Hydrogen Energy Publications LLC Traditional optimization-based energy management strategies (EMSs) do not consider the uncertainty of driving cycle induced by the change of traffic conditions, this paper proposes a robust online EMS (ROEMS) for fuel cell hybrid electric vehicles (FCHEV) to handle the uncertain driving cycles. The energy consumption model of the FCHEV is built by considering the power loss of fuel cell, battery, electric motor, and brake. An offline linear programming-based method is proposed to produce the benchmark solution. The ROEMS instantaneously minimizes the equivalent power of fuel cell and battery, where an equivalent efficiency of battery is defined as the efficiency of hydrogen energy transforming to battery energy. To control the state of charge of battery, two control coefficients are introduced to adjust the power of battery in objective function. Another penalty coefficient is used to amend the power of fuel cell, which reduces the load change of fuel cell so as to slow the degradation of fuel cell. The simulation results indicate that ROEMS has good performance in both fuel economy and load change control of fuel cell. The most important advantage of ROEMS is its robustness and adaptivity, because it almost produces the optimal solution without changing the control parameters when driving cycles are changed.

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http://hdl.handle.net/10453/143385