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

Xiaosong Hu (Institutionen för signaler och system, Reglerteknik) ; Nikolce Murgovski (Institutionen för signaler och system, Mekatronik) ; Lars Johannesson (Institutionen för signaler och system, Reglerteknik) ; Bo Egardt (Institutionen för signaler och system, Reglerteknik)
IEEE/ASME transactions on mechatronics (1083-4435). Vol. 20 (2015), 1, p. 457-468.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: Component Sizing, Power Management, Convex Programming, Fuel Cell Hybrid Vehicle, Electric Transportation

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Denna post skapades 2014-06-26. Senast ändrad 2015-07-28.
CPL Pubid: 199742


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)
Institutionen för signaler och system, Mekatronik (2005-2017)



Chalmers infrastruktur