Using ANFIS technique for PEM fuel cell electric bicycle prediction model

Kheirandish, Azadeh; Akbari, Elnaz; Nilashi, Mehrbakhsh; Dahari, Mahidzal

doi:10.1007/s13762-019-02392-6

Cited by 11 publications

(4 citation statements)

References 34 publications

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“…The condition described by Equation (20) describes the state in which there will be no switching between cells due to sufficiently slow power dynamics. Moreover, if condition (20) holds, any current state is not shifted, whether it has been the FC or another element.…”

Section: Control Algorithmsmentioning

confidence: 99%

“…Note that conditions (20) and ( 21) are purely theoretical. Practically, we can use an approximation for the derivative.…”

Section: Control Algorithmsmentioning

confidence: 99%

“…Renewable energy is key in the modern stationery industry [14][15][16][17]; however, overcoming these issues becomes more difficult when one wants to downsize the system. The use of fuel cells running on hydrogen seems to be one of the most sufficient and environmentally friendly solutions for mobile/portable applications [18][19][20][21][22][23]. Unfortunately, the physical limitations of the fuel cells require a new hybrid approach that involves Li-ion batteries or supercapacitors in order to fulfil the electrical power requirements of modern equipment [24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

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Sizing and Control Algorithms of a Hybrid Energy Storage System Based on Fuel Cells

Adamczyk

2020

Energies

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Growing consciousness of the threat posed by man-made climate change has spurred government institutions, industry, and science to find clean fuels to power economic activity. Fuel cells powered by hydrogen are one of the steps in gaining clean energy. To improve the efficiency of the fuel cell, the hybrid solutions are required. This article shows a new approach to the design and control of a hybrid energy storage system for portable applications. The methodology allows us to optimize the desired physical parameters of the elements (weight or size) in order to withstand the connected load power demand. Such an approach allows us to minimize weight, which is essential in portable systems. The methodology was proven by building a technology demonstrator. The measurements of physical objects verified the electrical parameters received during simulation and allowed a lower weight of the system, compared to the system based only on Li-ion batteries.

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Section: Control Algorithmsmentioning

confidence: 99%

“…Note that conditions (20) and ( 21) are purely theoretical. Practically, we can use an approximation for the derivative.…”

Section: Control Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sizing and Control Algorithms of a Hybrid Energy Storage System Based on Fuel Cells

Adamczyk

2020

Energies

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“…Unfortunately, for private mobility, electric vehicles (EV) are not yet a viable option for the average consumer for two reasons, their high cost and/or their low range (miles per charge) with respect to internal combustion vehicles [2]. Wide range and low cost are variables closely related to the capacity of the BB used in EV and alternatives are currently being sought; one of these alternatives, is the integration of power generating sources to maintain and even raise the state of charge (SoC) while the EV circulates [3], such as solar panels [4][5][6][7], hydrogen fuel cells (HC) [8][9][10][11][12][13], biofuel engines [14,15], hybrid motorization [16,17], electric generating dampers [18][19][20][21][22][23], wireless recharge [24,25], among others.…”

Section: Introductionmentioning

confidence: 99%

Harvesting in electric vehicles: combining multiple power tracking and fuel-cells

Parada-Salado

Gaona-Cárdenas

Licea

et al. 2020

IJECE

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Exploitation of green energy sources is essential to diminish the deterioration of our environment. The energy harvesting, represents an alternative to achieve greater range in electric and hybrid vehicles. An energy management strategy (EMS) must be optimized to obtain the best beneﬁts in such vehicles, which is not a trivial task. If harvesting or energy recovery devices are added, the EMS becomes a dual-purpose algorithm: minimizing fuel consumption and maximizing energy harvest through maximum power point tracking (MPPT) controllers. Known studies consider separate EMS, one for traction and another for regenerative braking, without considering harvest devices such as solar panels, regenerative suspension, thermal generators, among others. Furthermore, the electronic power converters used, are not designed to handle such unequal power levels. In this article, an electronic platform to include multiple energy harvesting devices in a fuel-cell hybrid electric vehicle, was presented together with a multiple MPPT-EMS. The EMS is easily implementable, and considers quasiconstant cell energy extraction and ﬁltering of current transients to the battery bank ensuring the longevity of the devices. A new mathematical model of the platform, a closed loop stability analysis, and numerical and Hardware-in-the-Loop (HIL) validations were presented. Some experimental validation results were also provided.

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Numerical investigation of the effect of blocked gas flow field on PEM fuel cell performance

Ozdemira

Taymaz

2021

Int. J. Environ. Sci. Technol.

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Using ANFIS technique for PEM fuel cell electric bicycle prediction model

Cited by 11 publications

References 34 publications

Sizing and Control Algorithms of a Hybrid Energy Storage System Based on Fuel Cells

Sizing and Control Algorithms of a Hybrid Energy Storage System Based on Fuel Cells

Harvesting in electric vehicles: combining multiple power tracking and fuel-cells

Numerical investigation of the effect of blocked gas flow field on PEM fuel cell performance

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