Dynamic programming technique for optimizing fuel cell hybrid vehicles

Fares, Dima; Chedid, R.; Panik, Ferdinand; Karaki, S.; Jabr, Rabih A.

doi:10.1016/j.ijhydene.2014.12.120

Cited by 138 publications

(57 citation statements)

References 20 publications

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“…There are three principal methods of energy optimization in literature:  Dynamic programming methods with different initial and final conditions. These methods are used with predefined cycles and are not optimal for athor trajectories [20].…”

Section: Energy Managementmentioning

confidence: 99%

Design, Modeling and Energy Management of a PEM Fuel Cell / Supercapacitor Hybrid Vehicle

Andari¹,

Ghozzi²,

Allagui³

et al. 2017

ijacsa

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Section: Energy Managementmentioning

confidence: 99%

Design, Modeling and Energy Management of a PEM Fuel Cell / Supercapacitor Hybrid Vehicle

Andari¹,

Ghozzi²,

Allagui³

et al. 2017

ijacsa

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“…Much work has been carried out in the field of PEM FC hybrids for vehicular applications, where hybridisation with battery and/or supercapacitor (SC) technologies has been considered. This covers FC/battery [7][8][9][10], FC/SC, and FC/battery/SC hybrids [11][12][13][14], with some examples given. The literature review that follows focuses on FC/SC hybrids as these are most relevant to the work presented here.…”

Section: Introductionmentioning

confidence: 99%

Investigation on the Impact of Degree of Hybridisation for a Fuel Cell Supercapacitor Hybrid Bus with a Fuel Cell Variation Strategy

Partridge

Bucknall

2019

Vehicles

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This paper presents the development of a control strategy for a fuel cell and supercapacitor hybrid power system for application in a city driving bus. This aims to utilise a stable fuel cell power output during normal operation whilst allowing variations to the power output based on the supercapacitor state-of-charge. This provides flexibility to the operation of the system, protection against over-charge and under-charge of the supercapacitor and gives flexibility to the sizing of the system components. The proposed control strategy has been evaluated using validated Simulink models against real-world operating data collected from a double-decker bus operating in London. It was demonstrated that the control strategy was capable of meeting the operating power demands of the bus and that a wide range of degrees of hybridisation are viable for achieving this. Comparison between the degree of hybridisation proposed in this study and those in operational fuel cell (FC) hybrid buses was carried out. It was found that the FC size requirement and FC variation can be significantly reduced through the use of the degree of hybridisation identified in this study.

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“…In [19], a stochastic self-optimizing power management strategy for a fuel cell/battery-powered hybrid electric scooter is proposed. In [20], an improved dynamic programming approach is presented, where several look-up tables are constructed to permit online operation. Alternately, approaches based on rules or heuristics can be more appropriate for realtime application [21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Sizing for fuel cell/supercapacitor hybrid vehicles based on stochastic driving cycles

Feroldi

Carignano

2016

Applied Energy

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Dynamic programming technique for optimizing fuel cell hybrid vehicles

Cited by 138 publications

References 20 publications

Design, Modeling and Energy Management of a PEM Fuel Cell / Supercapacitor Hybrid Vehicle

Design, Modeling and Energy Management of a PEM Fuel Cell / Supercapacitor Hybrid Vehicle

Investigation on the Impact of Degree of Hybridisation for a Fuel Cell Supercapacitor Hybrid Bus with a Fuel Cell Variation Strategy

Sizing for fuel cell/supercapacitor hybrid vehicles based on stochastic driving cycles

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