Optimal Dimensioning and Power Management of a Fuel Cell/Battery Hybrid Bus via Convex Programming

This paper is concerned with the simultaneous optimal component sizing and power management of a fuel cell/battery hybrid bus. Existing studies solve the combined plant/controller optimization problem for fuel cell hybrid vehicles (FCHVs) by using methods with disadvantages of heavy computational bu...

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Published in:	IEEE/ASME transactions on mechatronics Vol. 20; no. 1; pp. 457 - 468
Main Authors:	Hu, Xiaosong, Murgovski, Nikolce, Johannesson, Lars Mardh, Egardt, Bo
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Batteries Buses (vehicles) Component Sizing Component sizing convex programming electric transportation fuel cell hybrid vehicle (FCHV) power management Convex Programming Economics Electric batteries Electric Transportation Fuel Cell Hybrid Vehicle fuel cell hybrid vehicle (FCHV) Fuel cells Hybrid vehicles Hydrogen Mechanical power transmission Mechatronics Optimization Power Management Programming Studies Torque Vehicles power management convex programming fuel cell hybrid vehicle (FCHV) electric transportation Component sizing
ISSN:	1083-4435, 1941-014X, 1941-014X
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Abstract	This paper is concerned with the simultaneous optimal component sizing and power management of a fuel cell/battery hybrid bus. Existing studies solve the combined plant/controller optimization problem for fuel cell hybrid vehicles (FCHVs) by using methods with disadvantages of heavy computational burden and/or suboptimality, for which only a single driving profile was often considered. This paper adds three important contributions to the FCHVs-related literature. First, convex programming is extended to rapidly and efficiently optimize both the power management strategy and sizes of the fuel cell system (FCS) and the battery pack in the hybrid bus. The main purpose is to encourage more researchers and engineers in FCHVs field to utilize the new effective tool. Second, the influence of the driving pattern on the optimization result (both the component sizes and hydrogen economy) of the bus is systematically investigated by considering three different bus driving routes, including two standard testing cycles and a realistic bus line cycle with slope information in Gothenburg, Sweden. Finally, the sensitivity of the optimization outcome to the potential price decreases of the FCS and the battery is quantitatively examined.
AbstractList	This paper is concerned with the simultaneous optimal component sizing and power management of a fuel cell/battery hybrid bus. Existing studies solve the combined plant/controller optimization problem for fuel cell hybrid vehicles (FCHVs) by using methods with disadvantages of heavy computational burden and/or suboptimality, for which only a single driving profile was often considered. This paper adds three important contributions to the FCHVs-related literature. First, convex programming is extended to rapidly and efficiently optimize both the power management strategy and sizes of the fuel cell system (FCS) and the battery pack in the hybrid bus. The main purpose is to encourage more researchers and engineers in FCHVs field to utilize the new effective tool. Second, the influence of the driving pattern on the optimization result (both the component sizes and hydrogen economy) of the bus is systematically investigated by considering three different bus driving routes, including two standard testing cycles and a realistic bus line cycle with slope information in Gothenburg, Sweden. Finally, the sensitivity of the optimization outcome to the potential price decreases of the FCS and the battery is quantitatively examined.
Author	Murgovski, Nikolce Johannesson, Lars Mardh Hu, Xiaosong Egardt, Bo
Author_xml	– sequence: 1 givenname: Xiaosong surname: Hu fullname: Hu, Xiaosong email: xiaosong@chalmers.se organization: Department of Signals and Systems, Chalmers University of Technology, 41296 Gothenburg, Sweden – sequence: 2 givenname: Nikolce surname: Murgovski fullname: Murgovski, Nikolce email: nikolce.murgovski@chalmers.se organization: Department of Signals and Systems, Chalmers University of Technology, 41296 Gothenburg, Sweden – sequence: 3 givenname: Lars Mardh surname: Johannesson fullname: Johannesson, Lars Mardh email: larsjo@chalmers.se organization: Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden – sequence: 4 givenname: Bo surname: Egardt fullname: Egardt, Bo email: bo.egardt@chalmers.se organization: Department of Signals and Systems, Chalmers University of Technology, 41296 Gothenburg, Sweden
BackLink	https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-31943$$DView record from Swedish Publication Index https://research.chalmers.se/publication/199742$$DView record from Swedish Publication Index (Chalmers tekniska högskola)
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Snippet	This paper is concerned with the simultaneous optimal component sizing and power management of a fuel cell/battery hybrid bus. Existing studies solve the...
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SubjectTerms	Batteries Buses (vehicles) Component Sizing Component sizing convex programming electric transportation fuel cell hybrid vehicle (FCHV) power management Convex Programming Economics Electric batteries Electric Transportation Fuel Cell Hybrid Vehicle fuel cell hybrid vehicle (FCHV) Fuel cells Hybrid vehicles Hydrogen Mechanical power transmission Mechatronics Optimization Power Management Programming Studies Torque Vehicles
Title	Optimal Dimensioning and Power Management of a Fuel Cell/Battery Hybrid Bus via Convex Programming
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