Thematische Bibliographien / Theveninův model

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Auswahl der wissenschaftlichen Literatur zum Thema „Theveninův model“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 2. Februar 2022

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Zeitschriftenartikel zum Thema "Theveninův model"

Zhang, Liang, Shunli Wang, Daniel-Ioan Stroe, Chuanyun Zou, Carlos Fernandez und Chunmei Yu. „An Accurate Time Constant Parameter Determination Method for the Varying Condition Equivalent Circuit Model of Lithium Batteries“. Energies 13, Nr. 8 (20.04.2020): 2057. http://dx.doi.org/10.3390/en13082057.

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An accurate estimation of the state of charge for lithium battery depends on an accurate identification of the battery model parameters. In order to identify the polarization resistance and polarization capacitance in a Thevenin equivalent circuit model of lithium battery, the discharge and shelved states of a Thevenin circuit model were analyzed in this paper, together with the basic reasons for the difference in the resistance capacitance time constant and the accurate characterization of the resistance capacitance time constant in detail. The exact mathematical expression of the working characteristics of the circuit in two states were deduced thereafter. Moreover, based on the data of various working conditions, the parameters of the Thevenin circuit model through hybrid pulse power characterization experiment was identified, the simulation model was built, and a performance analysis was carried out. The experiments showed that the accuracy of the Thevenin circuit model can become 99.14% higher under dynamic test conditions and the new identification method that is based on the resistance capacitance time constant. This verifies that this method is highly accurate in the parameter identification of a lithium battery model.

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Jin, Enshu, Zhenyu Song, Xiaofan Yang und Xin Yu. „Improved Thevenin Equivalent Model of MMC Considering Pre-charge Conditions and DC Side Fault Conditions“. Applied Computational Electromagnetics Society 36, Nr. 6 (06.08.2021): 796–805. http://dx.doi.org/10.47037/2020.aces.j.360622.

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The traditional Thevenin equivalent Modular Multilevel Converter (MMC) model has poor versatility for the two working conditions of pre-charging and DC-side faults. In this paper, an improved Thevenin equivalent MMC model considering pre-charge conditions and DC side fault conditions is proposed. The model divides the pre-charging condition into a Controllable charging stage and an Uncontrollable charging stage. The DC-side fault condition is divided into the pre-blocking and post-blocking conditions of the converter. The circuit characteristics are analyzed, and the equivalent model topology is comprehensively improved to make it suitable for full-condition simulation, and a control strategy suitable for the equivalent model is proposed. The detailed model and the proposed improved equivalent model were built in PSCAD/EMTDC for comparison and analysis. The simulation results shows that the improved equivalent model can be applied to various working conditions, and the versatility of the traditional Thevenin equivalent model is improved.

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Fang, Yuan Qi, Xi Ming Cheng und Yi Lin Yin. „SOC Estimation of Lithium-Ion Battery Packs Based on Thevenin Model“. Applied Mechanics and Materials 299 (Februar 2013): 211–15. http://dx.doi.org/10.4028/www.scientific.net/amm.299.211.

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Due to the immeasurability of SOC in battery and inevitability of error in current collection, SOC estimation of Lithium-ion battery has become a focus of EV research. With Thevenin equivalent circuit model, this paper employs EKF algorithm to estimate SOC, which takes into consideration both precision requirement of the estimation and amount of computation involved in online estimation. Based on above-mentioned objectives and principles, a test platform composed of Digatron battery test system and thermostat was built. Experimental result has confirmed that the combination of EKF algorithm with Thevenin model can improve precision and reduce amount of computation.

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Di Fazio, Anna Rita, Giuseppe Fusco und Mario Russo. „Islanding detection method based on a Thevenin-like model“. IET Generation, Transmission & Distribution 9, Nr. 13 (01.10.2015): 1747–54. http://dx.doi.org/10.1049/iet-gtd.2014.0721.

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Lugo-Muñoz, Denise, Juan Muci, Adelmo Ortiz-Conde, Francisco J. García-Sánchez, Michelly De Souza, Denis Flandre und Marcelo Antonio Pavanello. „Modeling of Thin-Film Lateral SOI PIN Diodes with an Alternative Multi-Branch Explicit Current Model“. Journal of Integrated Circuits and Systems 7, Nr. 2 (27.12.2012): 92–99. http://dx.doi.org/10.29292/jics.v7i2.360.

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We propose the use of an alternative multi-exponential model to describe multiple conduction mechanisms in thin-film SOI PIN diodes with parasitic series resistance over a wide operating temperature range, from 90 to 390 K. This alternative multi-exponential model can be used for semiconductor junctions which exhibit multiple conduction mechanisms with series and shunt resistances. Using Thevenin’s theorem and the Lambert W function, the terminal current is expressed explicitly as a function of the terminal voltage. Its explicit nature allows higher computational efficiency and makes this model better suited for repetitive simulation applications than conventional implicit models. Additionally, direct analytic differentiation and integration are possible. This alternative model is used to describe the I-V characteristics of real SOI PIN diodes.

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Sona, Alessandro. „Augmented Thevenin Model for the Harmonic Analysis of Switching Circuits“. IEEE Transactions on Electromagnetic Compatibility 62, Nr. 4 (August 2020): 1342–48. http://dx.doi.org/10.1109/temc.2019.2935511.

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Li, Shaowu. „Circuit Parameter Range of Photovoltaic System to Correctly Use the MPP Linear Model of Photovoltaic Cell“. Energies 14, Nr. 13 (02.07.2021): 3997. http://dx.doi.org/10.3390/en14133997.

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The real-time linearization of a photovoltaic (PV) cell has been implemented well by the proposition of two maximum power point (MPP) linear models (MPP Thevenin cell model and MPP Norton cell model). However, there is no work to specially analyze the circuit parameter range (CPR) to correctly use them, which seriously impedes the development of the linear control theory involving them. To deal with this problem, in this paper, PV systems with three usual outputs are analyzed and the expressions of their CPR are proposed under ideal conditions. Meanwhile, these expressions are improved to match the practical application. They disclose the relationships between load (or bus voltage) and model parameters of the MPP Thevenin cell model (MPP-TCM) when the MPP of PV system always exists. They also reveal the constraints of load (or bus voltage) when the MPP-TCM is always available. Finally, by some simulation experiments, the accuracy of the expressions of the CPR is verified, the regular patterns of the CPR changing with weather are disclosed, and the comparison of the CPR for different PV systems are made. In this work, the relationships between MPP-TCM and circuit parameters are successfully found, disclosing the constraints among parameters when the MPP-TCM is used to implement the overall linearization of a PV system.

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Wei, Ke Xin, und Qiao Yan Chen. „Battery SOC Estimation Based on Multi-Model Adaptive Kalman Filter“. Advanced Materials Research 403-408 (November 2011): 2211–15. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2211.

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This paper introduces multi-model adaptive kalman filter estimation algorithm.Based on the battery thevenin model,the multi-model adaptive kalman filter is applied to the battery SOC(state of charge) estimation, which solute the battery SOC estimation in conditions that the battery model parameters change caused by temperature changing. Simulation results show that compared to the single model kalman filter algorithm, Multi-Model adaptive kalman filter algorithm improves the estimation precision and reliability greatly.

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Hinz, Hartmut. „Comparison of Lithium-Ion Battery Models for Simulating Storage Systems in Distributed Power Generation“. Inventions 4, Nr. 3 (06.08.2019): 41. http://dx.doi.org/10.3390/inventions4030041.

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Lithium-ion batteries are well known in numerous commercial applications. Using accurate and efficient models, system designers can predict the behavior of batteries and optimize the associated performance management. Model-based development comprises the investigation of electrical, electro-chemical, thermal, and aging characteristics. This paper focuses on the analysis of models describing the electrical behavior. In particular, it investigates how cell voltage and state of charge can be determined with sufficient accuracy for a given load profile. For this purpose, the Thevenin-based, the Rint, and the Shepherd’s models, as well as a generic library model of an electronic circuit simulation software package, are compared. The procedure for determining model parameters is discussed in detail. All models are evaluated for the application in the analysis of distributed power generation. The validation is carried out by comparing simulation and measurement results with the help of a case study.

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Liu, Xintian, Xuhui Deng, Yao He, Xinxin Zheng und Guojian Zeng. „A Dynamic State-of-Charge Estimation Method for Electric Vehicle Lithium-Ion Batteries“. Energies 13, Nr. 1 (25.12.2019): 121. http://dx.doi.org/10.3390/en13010121.

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With the increasing environmental concerns, plug-in electric vehicles will eventually become the main transportation tools in future smart cities. As a key component and the main power source, lithium-ion batteries have been an important object of research studies. In order to efficiently control electric vehicle powertrains, the state of charge (SOC) of lithium-ion batteries must be accurately estimated by the battery management system. This paper aims to provide a more accurate dynamic SOC estimation method for lithium-ion batteries. A dynamic Thevenin model with variable parameters affected by the temperature and SOC is established to model the battery. An unscented Kalman particle filter (UPF) algorithm is proposed based on the unscented Kalman filter (UKF) algorithm and the particle filter (PF) algorithm to generate nonlinear particle filter according to the advantages and disadvantages of various commonly used filtering algorithms. The simulation results show that the unscented Kalman particle filter algorithm based on the dynamic Thevenin model can predict the SOC in real time and it also has strong robustness against noises.

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Mehr Quellen

Dissertationen zum Thema "Theveninův model"

Loucký, Vojtěch. „Model Li-ion akumulátoru“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442783.

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This diploma thesis deals with description of the principle of Li-ion cells, literature search on the topic of mathematical models of Li-ion cells and the creation of a selected mathematical model in MATLAB, which is able to simulate the course of voltage and state of charge as a function of time for different ambient conditions, such as various aging of battery .The creation of both the model and the procedure of identification of parameters necessary for the creation of the model are described here as well as different options of identification of parameters. The selected Thevenin model is then compared with the real course and the accuracy of the model is evaluated with respect to the measured course.

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Hedon, Martin. „Modeling and Simulation of a Hybrid Powertrain“. Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235271.

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Hybrid powertrains represent the current trend on passenger cars. The purpose of thisreport is to create a basic model of a hybrid powertrain in Matlab/Simulinkenvironment and study their performance over certification driving cycle. Threecommonly used architectures are modeled and discussed in Simulink. Hence, the basiccomponents of a powertrain – battery, electric machine and combustion engine – arestudied and basic models are realized. A Thevenin equivalent circuit is used to simulatethe behavior of the battery, and the combustion engine is modeled after a Willansmodel. The electric machine model is based on a known efficiency map. Then, thearchitectures are created as well as their control strategies. The control strategies arecreated through state diagrams, and implemented into the Simulink model viaStateflow charts. A validation procedure is presented in order to study the consistencyof the models.
Hybrid drivlinor representerar en central personbilstrend. Syftet med rapporten är attpresentera en grundläggande modell för en hybrid drivlina i Matlab/Simulink. Trearkitekturer behandlas och har implementerats i Simulink. Sedan studeras degrundläggande komponenterna i ett drivaggregat (batteri, elmaskin ochförbränningsmotor). En Thevenin-ekvivalent krets används för att simulera batterietsbeteende. Förbränningsmotorn är modellerad efter en Willans-modell.Elmaskinmodellen är baserad på en känd verkningsgradsmapp. De tillhörandestyrstrategierna med hjälp av tillståndsdiagram. De implementeras i Simulinkmodellenmed hjälp av Stateflow-diagram. Ett valideringsförfarande presenteras ochvisar modellernas konsistens.

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(10653539), Timothy J. Donnelly. „THEVENIN EQUIVALENT CIRCUITS FOR MODELING COMMON-MODE BEHAVIOR IN POWER ELECTRONIC SYSTEMS“. Thesis, 2021.

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The high-frequency switching of transistors in power electronic (PE) converters is known to cause unintended common-mode (CM) current that flows through parasitically-coupled ground paths. One way to model these currents is to utilize time-domain simulations that capture switching dynamics and the corresponding parasitic response. Although potentially useful, the small time steps required can create a computational burden and limit the usefulness of the approach. In addition, access to internal hardware needed to characterize parasitic parameters is often limited.

In this thesis, frequency-domain Thevenin equivalent circuits (TECs) are derived to model the CM behavior of PE converters. To do so, periodic linear time-varying (PLTV) analysis is used to develop Thevenin-like models that account for switching behavior of PE circuits. Subsequently, it is shown that in many applications these PLTV TECs can be reduced to traditional linear time-invariant (LTI) forms. Methods to experimentally characterize LTI TEC parameters and couple multiple TECs together for system-level analysis are then established. Finally, the TEC approach is extended to model converters in which common- and differential-mode (CM/DM) behavior are strongly coupled. Simulation and experimental results are used to validate the proposed TEC techniques.

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Buchteile zum Thema "Theveninův model"

Henry, Robert E. „The Minor Influence of the Grid Thevenin Impedance on Plant Faults“. In Models for Design, 59–60. CRC Press, 2017. http://dx.doi.org/10.1201/b22411-5.

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Konferenzberichte zum Thema "Theveninův model"

Putra, Wahyu Sukestyastama, Bobby Rian Dewangga, Adha Cahyadi und Oyas Wahyunggoro. „Current estimation using Thevenin battery model“. In 2015 Joint International Conference on Electric Vehicular Technology and Industrial, Mechanical, Electrical and Chemical Engineering (ICEVT & IMECE). IEEE, 2015. http://dx.doi.org/10.1109/icevtimece.2015.7496638.

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Huang, Cong-Sheng, und Mo-Yuen Chow. „Accurate Thevenin's circuit-based battery model parameter identification“. In 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE). IEEE, 2016. http://dx.doi.org/10.1109/isie.2016.7744902.

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Fang, Shuai, Zhangcai Huang, Atsushi Kurokawa und Yasuaki Inoue. „Calculating the Effective Capacitance for Interconnect Loads Based on Thevenin Model“. In 2006 International Conference on Communications, Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/icccas.2006.285176.

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Hidalgo-Leon, Ruben, Javier Urquizo, Pablo Jacome-Ruiz, Jaqueline Litardo, Pritpal Singh, Jinsong Wu und Guillermo Soriano. „Modeling Battery under Discharge Using Improved Thevenin-Shepherd Electrical Battery Model“. In 2018 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2018. http://dx.doi.org/10.1109/vppc.2018.8604958.

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Adak, Suleyman, Hasan Cangi und A. Serdar Yilmaz. „Thevenin Equivalent of Solar PV Cell Model and Maximum Power Transfer“. In 2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). IEEE, 2021. http://dx.doi.org/10.1109/icecce52056.2021.9514221.

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Sheehan, B. N. „Osculating Thevenin model for predicting delay and slew of capacitively characterized cells“. In Proceedings of 39th Design Automation Conference. IEEE, 2002. http://dx.doi.org/10.1109/dac.2002.1012743.

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Sheehan, Bernard N. „Osculating Thevenin model for predicting delay and slew of capacitively characterized cells“. In the 39th conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/513918.514132.

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Chatterjee, A., und A. Keyhani. „Thevenin's equivalent of photovoltaic source models for MPPT and power grid studies“. In 2011 IEEE Power & Energy Society General Meeting. IEEE, 2011. http://dx.doi.org/10.1109/pes.2011.6039203.

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Susanna, Susanna, Bobby Rian Dewangga, Oyas Wahyungoro und Adha Imam Cahyadi. „Comparison of Simple Battery Model and Thevenin Battery Model for SOC Estimation Based on OCV Method“. In 2019 International Conference on Information and Communications Technology (ICOIACT). IEEE, 2019. http://dx.doi.org/10.1109/icoiact46704.2019.8938495.

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Liu, Yiqun, Y. Gene Liao und Ming-Chia Lai. „Development and Validation of a Lithium-Ion Polymer Battery Cell Model for 12V SLI Battery Applications“. In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85501.

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An intuitive and comprehensive lithium-ion polymer battery cell model is developed in the Simulink environment. The developed model has capability of transient function in the Thevenin-based model, AC-equivalent function in the impedance-based model, and runtime prediction in the runtime-based model. Several model parameters are determined through five experimental discharging currents (6.67A, 10A, 20A, 30A, and 40A). The model is correlated and validated with other three continuous discharging currents (4A, 15A, and 50A) and two pulse discharges (20A and 30A). The validation indicates a less than 7% discrepancy between model simulation and experiment. The model is currently effective for lithium-metal-oxides polymer battery cell with capacity between 18Ah and 22Ah (20Ah +/− 10%). For other capacity battery cell, the parameters of series resistors need to be adjusted in the model. These parameters can be determined using three to five continuous constant current discharging tests. It is intended to make the developed cell model scalable and accurate in a wider ranges of battery specifications. Expending the developed cell model to a 12 voltage Starting-Lighting-Ignition (SLI) battery used in the start-stop or 48 voltage battery pack for mild hybrid electric vehicle is an example.

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