Study of inductively coupled fuel cell DMPPT converters

Wei, Yuwen; Sun, Haoran; Zhang, Tao; Jiang, Jiahui; Su, Xianjin; Zeng, Nianyin

doi:10.1007/s00202-024-02255-5

Cited by 16 publications

(6 citation statements)

References 25 publications

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“…where Expression (6) tests whether each component of the IMF can reach the required error accuracy and stop updating after meeting the requirements, which is as follows:…”

Section: Andmentioning

confidence: 99%

“…For example, in the field of transportation, supercapacitors can improve the acceleration performance of electric vehicles that frequently start and stop due to their high instantaneous power [4]. In wind power generation, the unstable current generated by wind turbines can extremely easily damage batteries, but supercapacitors have good power characteristics and weak current collection capabilities, which can be used to handle the impulse current generated by wind turbines [5,6]. In distributed generation, supercapacitors can be used to maintain the stability of busbar voltage and reduce the impact of distributed generation on the power grid during grid connection [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions

Qi,

Ma,

Wang

2024

Energies

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With the rapid development of the new energy industry, supercapacitors have become key devices in the field of energy storage. To forecast the remaining useful life (RUL) of supercapacitors, we introduce a new technology that integrates variational mode decomposition (VMD) with a bidirectional long short-term memory (BiLSTM) neural network. Firstly, the aging experiments of supercapacitors under various temperatures and voltages were carried out to obtain aging data. Then, VMD was implemented to decompose the aging data, which helped to eliminate disturbances, including capacity recovery and test errors. Then, the hyperparameters of BiLSTM were adjusted, employing the sparrow search algorithm (SSA) to improve the consistency between the input data and the network structure. After obtaining the optimal hyperparameters of BiLSTM, the decomposed aging data were input into BiLSTM for prediction. The experimental results showed that the VMD-SSA-BiLSTM model proposed in this paper has high prediction accuracy and high robustness under different temperatures and voltages, with an average RMSE of 0.112519, a decrease of 44.3% compared to BiLSTM, and a minimum of 0.031426.

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“…where Expression (6) tests whether each component of the IMF can reach the required error accuracy and stop updating after meeting the requirements, which is as follows:…”

Section: Andmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions

Qi,

Ma,

Wang

2024

Energies

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“…When applied to athlete training, computers proficiently gather and analyze data, delivering prompt feedback to coaches and athletes, thereby enabling the implementation of more precise and targeted training regimens. Concurrently, the study of human motion parameters holds substantial value in areas related to human–computer interaction, necessitating in-depth research. , …”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Nanosensors for Motion Detection

Xiu,

Yin,

Zhang

et al. 2024

ACS Appl. Electron. Mater.

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The continuous development of nanosensor technology has brought revolutionary changes to motion detection in the field of sports. The small size and high sensitivity of nanosensors make them ideal for real-time motion data acquisition. This paper aims to explore the potential applications of nanosensors in the field of sports, especially in the field of motion monitoring. We first introduce the working principles and types of nanosensors and then discuss the different manufacturing methods and practical applications of each sensor and the technical challenges that these sensors face. We then discuss its application in different aspects. The application of these nanosensors has intriguing prospects in the realm of motion detection as well as a plethora of other options for human−computer interaction. Research on the resilience of these sensors and the trend toward lower energy use will remain crucial. Future developments in nanosensors include obtaining energy from the human body, shrinking and using less power, increasing robustness and dependability, and lowering costs. These developments could encourage the broad usage of nanosensors for motion detection, opening up application possibilities and improving user satisfaction all around.

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“…However, their performance may be lower in practice, for example, in degraded use modes. Although, various research is currently being conducted to address these issues [13]. Therefore, the roundtrip efficiency of such residential hydrogen systems is only approximately 35%.…”

Section: Introductionmentioning

confidence: 99%

Hydrogen Micro-Systems: Households’ Preferences and Economic Futility

Klingler,

Dörr

2024

Energies

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This study examines the potential market for residential hydrogen systems in light of the trends towards digitalisation and environmental awareness. Based on a survey of 350 participants, the results indicate that although energy experts are sceptical about the benefits of residential hydrogen systems due to their high costs, households are highly interested in this technology. The sample shows a willingness to invest in hydrogen applications, with some households willing to pay an average of 24% more. An economic assessment compared the cost of a residential hydrogen system with conventional domestic energy systems, revealing significant additional costs for potential buyers interested in hydrogen applications.

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Study of inductively coupled fuel cell DMPPT converters

Cited by 16 publications

References 25 publications

Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions

Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions

Recent Advances in Nanosensors for Motion Detection

Hydrogen Micro-Systems: Households’ Preferences and Economic Futility

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