Energy management strategies for a fuel-cell/battery hybrid power system

Bendjedia, Bachir; Rizoug, Nassim; Boukhnifer, Moussa; Degaa, Laid

doi:10.1177/0959651820958515

Cited by 8 publications

(3 citation statements)

References 34 publications

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“…Within the transport sector, lithium-ion batteries with different cathode chemistries, LFP and LTO, are addressed in [18] and further validated, demonstrating a more significant lifetime of hybridised LFP technology rather than single LFP technology. Fuel cells and lithium-ion batteries are investigated in [19], considering online and offline EMS methods to improve fuel consumption and source lifetime. The authors of [12] investigate the interaction of fuel cells, lithium-ion batteries and ultracapacitors for HEV application, which are sized as an optimisation problem.…”

Section: Control Management and Power Allocation Strategiesmentioning

confidence: 99%

Economic and energetic assessment of a hybrid vanadium redox flow and lithium-ion batteries, considering power sharing strategies impact

Foles

Fialho

Horta

et al. 2023

Journal of Energy Storage

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Section: Control Management and Power Allocation Strategiesmentioning

confidence: 99%

Economic and energetic assessment of a hybrid vanadium redox flow and lithium-ion batteries, considering power sharing strategies impact

Foles

Fialho

Horta

et al. 2023

Journal of Energy Storage

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“…The essential idea behind this strategy is to use a low-pass filter to split the needed reference power into high- and low-frequency components. 31,32 Thus, the FC provides the low-frequency component, while the battery, which has a faster dynamic, provides the high-frequency component. This approach provides a smooth FC response but does not permit battery SOC control.…”

Section: Power Management Strategiesmentioning

confidence: 99%

Design optimization and power management of a fuel cell-battery fixed-wing electric UAV

Saib,

Achour,

Ghennam

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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This study aims for endurance improvement and energy saving by addressing, on the one hand, the design optimization (DO) of a hybrid electric source (HES) consisting of a fuel cell (FC) and a battery, intended for a fixed-wing electric UAV (EUAV) and, on the other hand, the power management (PM) of the sources. The DO employed the particle swarm optimization (PSO) algorithm, which determines the FC power and the battery capacity that offer the sources the least weight; the findings resulted in a weight reduction of 8%; this gain saves a total energy of 90.28 kJ that can extend the “endurance stage” by more than 26 min. Three power management strategies (PMS) are examined: frequency separation (FS), which gives good performance in PM and protects the FC from dehydration by smoothing its response; power limitation (PL) which protects the FC from exceeding its maximum power, and fuzzy logic (FL), which allows for more flexible power distribution between the sources and has the main advantage of controlling the battery state of charge (SOC). A fourth strategy was developed by combining the benefits of these three strategies. This hybrid PMS (HPMS) saves 2% of FC energy compared to the FL strategy. FS and PL save, respectively, 41% and 44% of FC energy, but the SOC can drop significantly, especially for longer missions. The experimental findings, achieved using a laboratory test bench, validate the simulated results obtained from MATLAB/Simulink software, confirming the validity and performance of the proposed HPMS.

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“…With the number of car ownership increasing, the global environmental problem due to car emissions is becoming increasingly more prominent [1,2]. Now, the development of new energy vehicles has been the focus of automotive research direction.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Energy Management Strategy of Hydrogen Fuel Cell Hybrid Electric Vehicles Based on Power Following Strategy–Fuzzy Logic Control Strategy Hybrid Control

Zou,

Luo,

2023

WEVJ

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Fuel cell hybrid electric vehicles have the advantages of zero emission, high efficiency and fast refuelling, etc. and are one of the key directions for vehicle development. The energy management problem of fuel cell hybrid electric vehicles is the key technology for power distribution. The traditional power following strategy has the advantage of a real-time operation, but the power correction is usually based only on the state of charge of a lithium battery, which causes the operating point of the fuel cell to be in the region of a low efficiency. To solve this problem, this paper proposes a hybrid power-following-fuzzy control strategy, where a fuzzy logic control strategy is used to optimise the correction module based on the power following strategy, which regulates the state of charge while correcting the output power of the fuel cell towards the efficient operating point. The results of the joint simulation with Matlab + Advisor under the Globally Harmonised Light Vehicle Test Cycle Conditions show that the proposed strategy still ensures the advantages of real-time energy management, and for the hydrogen fuel cell, the hydrogen consumption is reduced by 13.5% and 4.1% compared with the power following strategy and the fuzzy logic control strategy, and the average output power variability is reduced by 14.6% and 5.1%, respectively, which is important for improving the economy of the whole vehicle and prolonging the lifetime of fuel cell.

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Energy management strategies for a fuel-cell/battery hybrid power system

Cited by 8 publications

References 34 publications

Economic and energetic assessment of a hybrid vanadium redox flow and lithium-ion batteries, considering power sharing strategies impact

Economic and energetic assessment of a hybrid vanadium redox flow and lithium-ion batteries, considering power sharing strategies impact

Design optimization and power management of a fuel cell-battery fixed-wing electric UAV

Real-Time Energy Management Strategy of Hydrogen Fuel Cell Hybrid Electric Vehicles Based on Power Following Strategy–Fuzzy Logic Control Strategy Hybrid Control

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