Bibliographies thématiques / Fractional open circuit voltage (FOCV)

Littérature scientifique sur le sujet « Fractional open circuit voltage (FOCV) »

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Publié le 7 juillet 2024

Mis à jour le 7 juillet 2024

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Articles de revues sur le sujet "Fractional open circuit voltage (FOCV)"

Yun, Eun Jeong, Jong Tae Park et Chong Gun Yu. « An maximum power point tracking interface circuit for low-voltage DC-type energy harvesting sources ». Bulletin of Electrical Engineering and Informatics 11, n^o 6 (1 décembre 2022) : 3108–18. http://dx.doi.org/10.11591/eei.v11i6.4124.

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This paper presents a maximum power point tracking (MPPT) interface circuit for low-voltage DC-type energy harvesting sources such as light and thermal energy. Most energy harvesting systems used in miniature-sized sensor systems require start-up circuits because the output voltages of small-sized energy transducers are very low and not enough to directly power electronic systems. The proposed interface circuit is driven directly by the low output voltages of small size energy transducers, eliminating the need for complex start-up circuitry. A simple MPPT controller with the fractional open-circuit voltage (FOCV) method is designed and fabricated in a 65-nm complementary metal oxide semiconductor (CMOS) process. Measurement results show that the designed circuit can track the MPP voltage even in the presence of the open-circuit voltage fluctuations and can operate properly at operating voltages as low as 0.3 V. The interface circuit achieves a peak power efficiency of 97.1% and an MPPT accuracy of over 98.3%.

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Baimel, Dmitry, Saad Tapuchi, Yoash Levron et Juri Belikov. « Improved Fractional Open Circuit Voltage MPPT Methods for PV Systems ». Electronics 8, n^o 3 (14 mars 2019) : 321. http://dx.doi.org/10.3390/electronics8030321.

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This paper proposes two new Maximum Power Point Tracking (MPPT) methods which improve the conventional Fractional Open Circuit Voltage (FOCV) method. The main novelty is a switched semi-pilot cell that is used for measuring the open-circuit voltage. In the first method this voltage is measured on the semi-pilot cell located at the edge of PV panel. During the measurement the semi-pilot cell is disconnected from the panel by a pair of transistors, and bypassed by a diode. In the second Semi-Pilot Panel method the open circuit voltage is measured on a pilot panel in a large PV system. The proposed methods are validated using simulations and experiments. It is shown that both methods can accurately estimate the maximum power point voltage, and hence improve the system efficiency.

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Penella, Maria Teresa, et Manel Gasulla. « A Simple and Efficient MPPT Method for Low-Power PV Cells ». International Journal of Photoenergy 2014 (2014) : 1–7. http://dx.doi.org/10.1155/2014/153428.

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Small-size PV cells have been used to power sensor nodes. These devices present limited computing resources and so low complexity methods have been used in order to extract the maximum power from the PV cells. Among them, the fractional open circuit voltage (FOCV) method has been widely proposed, where the maximum power point of the PV cell is estimated from a fraction of its open circuit voltage. Here, we show a generalization of the FOCV method that keeps its inherent simplicity and improves the tracking efficiency. First, a single-diode model for PV cells was used to compute the tracking efficiency versus irradiance. Computations were carried out for different values of the parameters involved in the PV cell model. The proposed approach clearly outperformed the FOCV method, specially at low irradiance, which is significant for powering sensor nodes. Experimental tests performed with a 500 mW PV panel agreed with these results.

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Olzhabay, Yerassyl, Annie Ng et Ikechi A. Ukaegbu. « Perovskite PV Energy Harvesting System for Uninterrupted IoT Device Applications ». Energies 14, n^o 23 (27 novembre 2021) : 7946. http://dx.doi.org/10.3390/en14237946.

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The performance of perovskite solar cells (PSCs) has been improved throughout the years. These photovoltaic (PV) cells can be used to power Internet of Things (IoT) devices for indoor applications. A perovskite PV energy harvesting system with a stand-by battery that continuously powers an IoT device is developed in this work. The battery is required to complement the PSCs when the latter have difficulties in power delivery during low or no irradiance. The performance of the energy harvesting circuit as well as the battery charge and discharge scenarios are investigated. Voltage matching between the PSC and the battery is achieved by a boost converter. The PSC energy harvesting system uses fractional open-circuit voltage (FOCV) based maximum power point tracking (MPPT), which utilizes a Sample and Hold (S&H) circuit. The FOCV technique is based on a comparison of the perovskite PV open circuit voltages and the maximum power points. For each irradiance level, the maximum power point is unique, and this work uses a light-dependent resistor (LDR) to adjust the scaling constant in MPPT. Case studies include various scenarios under 1000 lux fluorescent light and 1 sun irradiance as well as a consideration of different battery states.

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Bu, Ling, Shengjiang Quan, Jiarong Han, Feng Li, Qingzhao Li et Xiaohong Wang. « On-Site Traversal Fractional Open Circuit Voltage with Uninterrupted Output Power for Maximal Power Point Tracking of Photovoltaic Systems ». Electronics 9, n^o 11 (29 octobre 2020) : 1802. http://dx.doi.org/10.3390/electronics9111802.

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The fractional open-circuit voltage (FOCV) method is commonly adopted to track maximal power point of photovoltaic systems due to easy implementation and cost-effectiveness. However, the FOCV method is confronted with unstable output power and limited tracking accuracy. This paper proposes a novel on-site traversal FOCV method with uninterrupted output power and increased tracking accuracy through simulation and experimental verifications. Each solar cell is connected with a bypass diode and switching circuitry, so that specific solar cell can be traced and measured consecutively for determining its maximal power point (MPP). MATLAB/Simulink simulation results show that, in the time-varying irradiance case, the proposed method achieves a low ripple factor of 0.13% in 11–13 h and 0.88% in 9–15 h, under the typical 24 h irradiance curve. In the spatial-varying irradiance case, the accuracy of the proposed method reaches 99.85%. Compared with other FOCV methods, like pilot cell and semi pilot cell methods, the proposed method is of higher accuracy with a limited ripple effect. Experimental results show that this method can effectively trace different output performance of specific solar cell while generating stable output voltage with a low ripple factor of 1.55%, proving its compatibility with distributed sensing and applicability in smart photovoltaic systems.

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Han, Lei, Xia Wang et Guang Wei Wang. « Maximum Power Point Tracking for the Micro-Scale Photovoltaic Power System ». Applied Mechanics and Materials 734 (février 2015) : 771–74. http://dx.doi.org/10.4028/www.scientific.net/amm.734.771.

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In this paper, we give a comprehensive consideration on the maximum power point tracking (MPPT) algorithm for micro-scale solar energy harvesting system. Basing on the comparison analysis the MPPT algorithm of fractional open circuit voltage (FOCV) is certificated to be the simplest method among all the algorithms focus on small size photovoltaic devices. As a validation, an example is given to demonstrate the effectiveness of the proposed idea.

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Carandell, Matias, Daniel Mihai Toma, Andrew S. Holmes, Joaquín del Río et Manel Gasulla. « Experimental Validation of a Fast-Tracking FOCV-MPPT Circuit for a Wave Energy Converter Embedded into an Oceanic Drifter ». Journal of Marine Science and Engineering 11, n^o 4 (11 avril 2023) : 816. http://dx.doi.org/10.3390/jmse11040816.

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Wave Energy Converters (WECs) are an ideal solution for expanding the autonomy of surface sensor platforms such as oceanic drifters. To extract the maximum amount of energy from these fast-varying sources, a fast maximum power point tracking (MPPT) technique is required. Previous studies have examined power management units (PMU) with fast MPPT circuits, but none of them have demonstrated their feasibility in a real-world scenario. In this study, the performance of a fast-tracking fractional open circuit voltage (FOCV)-MPPT circuit (sampling period TMPPT of 48 ms) is compared with a commercial slow-tracking PMU (TMPPT of 16 s) in a monitored sea area while using a small-scale, pendulum-type WEC. A specific low-power relaxation oscillator circuit is designed to control the fast MPPT circuit. The results demonstrate that by speeding up the sampling frequency of the MPPT circuit, the harvested energy can be increased by a factor of three.

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Im, Yun Chan, Seung Soo Kwak, Jonghyun Park et Yong Sin Kim. « Intermittent FOCV Using an I-V Curve Tracer for Minimizing Energy Loss ». Applied Sciences 11, n^o 19 (27 septembre 2021) : 9006. http://dx.doi.org/10.3390/app11199006.

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Conventional fractional open-circuit voltage (FOCV) methods in maximum power point tracking (MPPT) are widely adopted for their simple structure and low computing power requirements. However, under mismatch and environmental changing conditions, the FOCV methods introduce a large amount of energy loss due to their maximum power point being fixed at the initial setup. To reduce energy loss, the intermittent FOCV MPPT proposed in this paper regularly refreshes all the parameters for each condition in time by using an I-V curve tracer. The proposed intermittent FOCV consists of two phases: the scan and set phases. In scan phase, the I-V curve of a photovoltaic (PV) cell is scanned and its power is calculated. In set phase, the global MPP of the PV cell is extracted and set by controlling the 8-bit capacitance array. Simulation and calculation based on experimental results with a single PV cell show that the energy loss of the proposed intermittent FOCV under daily temperature and illuminance distributions decreased by up to 99.9% compared to that of the conventional FOCV.

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Marroquín-Arreola, Ricardo, Jinmi Lezama, Héctor Ricardo Hernández-De León, Julio César Martínez-Romo, José Antonio Hoyo-Montaño, Jorge Luis Camas-Anzueto, Elías Neftalí Escobar-Gómez, Jorge Evaristo Conde-Díaz, Mario Ponce-Silva et Ildeberto Santos-Ruiz. « Design of an MPPT Technique for the Indirect Measurement of the Open-Circuit Voltage Applied to Thermoelectric Generators ». Energies 15, n^o 10 (23 mai 2022) : 3833. http://dx.doi.org/10.3390/en15103833.

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This paper presents the design of a maximum power point-tracking (MPPT) technique for DC–DC converters that are used in energy-harvesting systems based on thermoelectric generators. This technique is based on the analysis of the characteristics of the converter to measure the open-circuit voltage indirectly. The main contribution of this article is that the algorithm measures the voltage at the maximum power point without the need to disconnect the source of the circuit, as happens when the fractional open-circuit voltage (FOCV) technique is used. The algorithm is based on a predetermined initial duty cycle, which is applied to the circuit, and the input voltage and input current are read. With these values, the open-circuit voltage and short-circuit current are calculated with equations obtained from the circuit. Then, it calculates the duty cycle at the maximum power point and applies it to the circuit. If this duty cycle does not obtain the maximum power from the circuit, the algorithm starts a second stage based on fuzzy logic to calculate an increase or decrease in the duty cycle. The designed technique was evaluated using a topology based on a DC–DC flyback converter variant and was compared with the P&O technique and obtained better results. The designed technique provides between 3.9% and 5.6% more power to the load than the P&O technique in a 20 W system.

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Kim, Hyeon-Joong, et Chong-Gun Yu. « Piezoelectric energy harvesting interface with fast open-circuit voltage sampling ». Journal of Asian Scientific Research 14, n^o 2 (29 avril 2024) : 237–50. http://dx.doi.org/10.55493/5003.v14i2.5062.

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This paper presents a piezoelectric energy harvesting interface with fast open-circuit voltage (VOC) sampling and a wide operating frequency range. The fractional open-circuit voltage (FOCV) method is the primary method for maximum power point tracking (MPPT) in energy harvesting systems, due to its easy implementation and relatively low cost. For this method to be efficient, it is necessary to shorten the time required for VOC sampling. To minimize power loss due to VOC sampling, a novel technique is proposed that is capable of sampling the VOC within a time shorter than half a cycle by using an adaptive tracking pulse instead of conventional fixed ones. We also present a peak detector design technique that can operate across a broad frequency spectrum and adapt to diverse vibration scenarios. The proposed technique reduces the duty cycle of the tracking pulse to 0.42%, which is 3.7 times smaller than the conventional 1.56%. The proposed circuit, designed using a 0.35μm complementary metal oxide semiconductor (CMOS) process, consumes just 94nA at 100Hz, 3V VOC, and a 1kΩ load. In a 2~4V VOC range and a 15~500Hz frequency range, the MPPT efficiency exceeds 95%, peaking at 99.9%, and the power efficiency remains over 93%, reaching a maximum of 97.7%.

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Thèses sur le sujet "Fractional open circuit voltage (FOCV)"

Mamouri, Lakhdar. « Architecture mixte pour le suivi du point de puissance maximal d'un système de récupération d'énergie piézoélectrique ». Electronic Thesis or Diss., Strasbourg, 2023. http://www.theses.fr/2023STRAD065.

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L'essor de l'Internet des Objets amène une multiplication des objets connectés, mais leur alimentation pose problème. Les batteries traditionnelles, limitées et peu durables, impactent l'environnement. La récupération d'énergie environnementale, notamment l'énergie vibratoire via la piézoélectricité, se présente comme une solution. Cette thèse se concentre sur des algorithmes MPPT pour optimiser cette conversion énergétique, tenant compte des fluctuations des sources vibratoires. Un modèle système optimisé réduit les ressources de simulation, et une approche FOCV améliorée diminue les composants. Les résultats expérimentaux confirment la précision du modèle, tandis qu'un nouvel algorithme, l'AFOCV, démontre une efficacité remarquable, même à faible tension, améliorant significativement les performances des systèmes piézoélectriques
The rise of the Internet of Things leads to an increase in interconnected objects, but their power supply poses a challenge. Conventional batteries, limited and not long-lasting, have environmental implications. Environmental energy harvesting, specifically vibrational energy through piezoelectricity, emerges as a solution. This thesis focuses on MPPT algorithms to optimize this energy conversion, considering fluctuations in vibrational sources. An optimized system model reduces simulation resources, and an enhanced FOCV approach decreases components. Experimental results validate the model's accuracy, while a new algorithm, AFOCV, demonstrates remarkable efficiency, even at low voltage, significantly enhancing piezoelectric system performance

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Tsung-WeiHsu et 徐從瑋. « Design of Photovoltaic Energy Harvester with Fractional Open Circuit Voltage Based Maximum Power Point Tracking Circuit ». Thesis, 2016. http://ndltd.ncl.edu.tw/handle/97kpf7.

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碩士
國立成功大學
電機工程學系
104
A photovoltaic energy harvester, which is basically a boost converter, is proposed in this thesis. In order to harvest energy from photovoltaic cell, the proposed converter adopts the fractional open-circuit voltage, which is one of the maximum power point tracking algorithm. The proposed system was fabricated by using TSMC 0.18μm 1P6M mixed-signal process. The highest power conversion efficiency of the converter is 93.5%, the highest tracking efficiency of the MPPT circuit is 98.6 %, and the highest total efficiency of the system is 91.8 %.

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Siddhant, Kumar. « Implementation of fractional open circuit voltage mppt algorithm in a low cost microcontroller ». Thesis, 2014. http://ethesis.nitrkl.ac.in/6440/1/E-68.pdf.

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The solar or the Photovoltaic (PV) cell is a source of electric energy which is eco-friendly, free and though it is a renewable source of energy, it is relatively costlier and inefficient nowadays which includes the difficulties related to complete harnessing of solar power. The MPPT or the maximum power point tracking of the PV panel for every type of environmental and climatic circumstances is the vital strategy to get the maximum power output thus increasing the efficiency of solar power extraction mechanism. This project recommends an innovative and a more efficient method for the maximum power point tracking of photovoltaic systems that is the Fractional Open Circuit (FOC) Algorithm which estimates the MPPT by manipulating the Open Circuit voltage of the Photovoltaic Cell. The method considerably improves the tracking speed and accuracy of the maximum power point tracking when we relate the results with other techniques. This project gives a detailed analysis and report of the maximum power point tracking using the FOC voltage technique.

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Chapitres de livres sur le sujet "Fractional open circuit voltage (FOCV)"

Carvalho, Carlos, Guilherme Lavareda et Nuno Paulino. « A DC-DC Step-Up μ-Power Converter for Energy Harvesting Applications, Using Maximum Power Point Tracking, Based on Fractional Open Circuit Voltage ». Dans Technological Innovation for Sustainability, 510–17. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19170-1_56.

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Actes de conférences sur le sujet "Fractional open circuit voltage (FOCV)"

Baroi, Shawon, Pejush Chandra Sarker et Saikot Baroi. « An Improved MPPT Technique – Alternative to Fractional Open Circuit Voltage Method ». Dans 2017 2nd International Conference on Electrical & Electronic Engineering (ICEEE). IEEE, 2017. http://dx.doi.org/10.1109/ceee.2017.8412909.

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Sivaramakrishnan S. « Linear extrapolated MPPT - an alternative to fractional open circuit voltage technique ». Dans 2016 Biennial International Conference on Power and Energy Systems : Towards Sustainable Energy (PESTSE). IEEE, 2016. http://dx.doi.org/10.1109/pestse.2016.7516531.

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Ahmad, Jawad. « A fractional open circuit voltage based maximum power point tracker for photovoltaic arrays ». Dans 2010 2nd International Conference on Software Technology and Engineering (ICSTE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icste.2010.5608868.

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Cakmak, Fevzi, Zafer Aydogmus et Mehmet Rida Tur. « Mppt Control for PV Systems with Analytical Analysis Fractional Open Circuit Voltage Method ». Dans 2022 Global Energy Conference (GEC). IEEE, 2022. http://dx.doi.org/10.1109/gec55014.2022.9986746.

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Baroi, Shawon, et Md Habibullah. « A Current Based Sampling Controlled Fractional Open Circuit Voltage MPPT Method for PV Systems ». Dans 2023 10th IEEE International Conference on Power Systems (ICPS). IEEE, 2023. http://dx.doi.org/10.1109/icps60393.2023.10428788.

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Shebani, Muamer M., Tariq Iqbal et John E. Quaicoe. « Comparing bisection numerical algorithm with fractional short circuit current and open circuit voltage methods for MPPT photovoltaic systems ». Dans 2016 IEEE Electrical Power and Energy Conference (EPEC). IEEE, 2016. http://dx.doi.org/10.1109/epec.2016.7771689.

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Negi, Shubham, Ashis Maity, Amit Patra et Mrigank Sharad. « Adaptive Fractional Open Circuit Voltage Method for Maximum Power Point Tracking in a Photovoltaic Panel ». Dans 2019 32nd International Conference on VLSI Design and 2019 18th International Conference on Embedded Systems (VLSID). IEEE, 2019. http://dx.doi.org/10.1109/vlsid.2019.00101.

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Khurana, Rohan, Saksham Arora, Parakh Rushil Sharma et Vanjari Venkata Ramana. « An Online Sensorless Fractional Open Circuit Voltage Based Method for Tracking Maximum Power from Photovoltaic Module ». Dans 2023 3rd International Conference on Intelligent Technologies (CONIT). IEEE, 2023. http://dx.doi.org/10.1109/conit59222.2023.10205757.

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Baimel, D., R. Shkoury, L. Elbaz, S. Tapuchi et N. Baimel. « Novel optimized method for maximum power point tracking in PV systems using Fractional Open Circuit Voltage technique ». Dans 2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE, 2016. http://dx.doi.org/10.1109/speedam.2016.7525984.

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Ramasamy, Arulmurugan, et N. Suthanthira Vanitha. « Maximum power tracking for PV generating system using novel optimized fractional order open circuit voltage- FOINC method ». Dans 2014 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2014. http://dx.doi.org/10.1109/iccci.2014.6921842.

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