Energy management strategy for fuel cell-supercapacitor hybrid vehicles based on prediction of energy demand

Carignano, Mauro; Costa‐Castelló, Ramon; Roda, Vicente; Nigro, Norberto M.; Junco, Sergio; Feroldi, Diego

doi:10.1016/j.jpowsour.2017.06.016

Cited by 107 publications

(54 citation statements)

References 26 publications

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“…A picture of the laboratory station is shown in Figure 7. This station has already been used successfully to validate an EMS applied to hybrid vehicle in [30].…”

Section: Laboratory Station Descriptionmentioning

confidence: 99%

Energy Management Strategy for a Bioethanol Isolated Hybrid System: Simulations and Experiments

et al. 2018

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Renewable energy sources have significant advantages both from the environmental and the economic point of view. Additionally, renewable energy sources can contribute significantly to the development of isolated areas that currently have no connection to the electricity supply network. In order to make efficient use of these energy sources, it is necessary to develop appropriate energy management strategies. This work presents an energy management strategy for an isolated hybrid renewable energy system with hydrogen production from bioethanol reforming. The system is based on wind-solar energy, batteries and a bioethanol reformer, which produces hydrogen to feed a fuel cell system. Bioethanol can contribute to the development of isolated areas with surplus agricultural production, which can be used to produce bioethanol. The energy management strategy takes the form of a state machine and tries to maximize autonomy time while minimizing recharging time. The proposed rule-based strategy has been validated both by simulation and experimentally in a scale laboratory station. Both tests have shown the viability of the proposed strategy complying with the specifications imposed and a good agreement between experimental and simulation results.

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“…A picture of the laboratory station is shown in Figure 7. This station has already been used successfully to validate an EMS applied to hybrid vehicle in [30].…”

Section: Laboratory Station Descriptionmentioning

confidence: 99%

Energy Management Strategy for a Bioethanol Isolated Hybrid System: Simulations and Experiments

et al. 2018

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“…Of the available configurations it was found that connecting the FC and SC via DC/DC converters provides the best solution in terms of reducing the Vehicles 2020, 2, 1-17; doi:10.3390/vehicles2010001 www.mdpi.com/journal/vehicles Vehicles 2020, 2 2 stress on the fuel cell and achieving a high hydrogen economy because of the optimal fuel cell operation. A number of examples of this configuration have been presented in the literature, such as [16][17][18][19][20][21][22][23][24]. A control strategy based on reducing the transient changes on the FC load has been developed and experimentally tested in [16].…”

Section: Introductionmentioning

confidence: 99%

“…This was tested against the ECE15 EU drive cycle and performed acceptably. An energy management strategy utilising short-term future energy demand prediction was developed and tested through both simulation and experimentation in [18]. It was found that this strategy offers improved performance, owing partly to the better management of the SC for regenerative braking.…”

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 this regard, several energy management strategies (EMSs), namely rule‐based, optimization‐based and intelligent‐based, have been proposed for the mentioned hybrid structures in literature . Some examples of very recent proposed online EMSs can be found in . In , an online EMS based on data fusion approach is suggested.…”

Section: Introductionmentioning

confidence: 99%

“…The rule‐based of this work is based on a static PEMFC map. In , an EMS based on short‐term energy estimation is developed to maintain the SC state of energy within a defined limit. The PEMFC limits are based on a quasistatic model, and determining the power rate limits to avoid premature ageing is pointed out as a remaining issue.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

et al. 2018

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Output power of a fuel cell (FC) stack can be controlled through operating parameters (current, temperature, etc.) and is impacted by ageing and degradation. However, designing a complete FC model which includes the whole physical phenomena is very difficult owing to its multivariate nature. Hence, online identification of a FC model, which serves as a basis for global energy management of a fuel cell vehicle (FCV), is considerably important. In this paper, two well‐known recursive algorithms are compared for online estimation of a multi‐input semi‐empirical FC model parameters. In this respect, firstly, a semi‐empirical FC model is selected to reach a satisfactory compromise between computational time and physical meaning. Subsequently, the algorithms are explained and implemented to identify the parameters of the model. Finally, experimental results achieved by the algorithms are discussed and their robustness is investigated. The ultimate results of this experimental study indicate that the employed algorithms are highly applicable in coping with the problem of FC output power alteration, due to the uncertainties caused by degradation and operation condition variations, and these results can be utilized for designing a global energy management strategy in a FCV.

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Energy management strategy for fuel cell-supercapacitor hybrid vehicles based on prediction of energy demand

Cited by 107 publications

References 26 publications

Energy Management Strategy for a Bioethanol Isolated Hybrid System: Simulations and Experiments

Energy Management Strategy for a Bioethanol Isolated Hybrid System: Simulations and Experiments

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

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

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