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Journal articles on the topic 'Theveninův model'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

AL-GIZI, Ammar, Abbas Hussien Miry, Hussein M. Hathal, and Aurelian Craciunescu. "Performance Analysis of a Single-Diode Photovoltaic Model Based on a Thevenin’s Equivalent Circuit." Journal of Engineering and Sustainable Development 29, no. 4 (2025): 440–46. https://doi.org/10.31272/jeasd.2778.

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This article proposes a linear Thevenin's equivalent circuit for a single-diode model. The Thevenin's equivalent circuit is derived based on the piecewise linearization for the nonlinear characteristic of the diode. To validate the accuracy and efficiency of the proposed Thevenin approximation, a photovoltaic module’s current-voltage and power-voltage characteristics are evaluated and compared with the characteristics of the original model. Meanwhile, an error of the proposed approximation is also calculated under different values of irradiance and temperature. The operating conditions are cla

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2

Zhou, Xia, Yishi Liu, Ping Chang, Feng Xue, and Tengfei Zhang. "Voltage Stability Analysis of a Power System with Wind Power Based on the Thevenin Equivalent Analytical Method." Electronics 11, no. 11 (2022): 1758. http://dx.doi.org/10.3390/electronics11111758.

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The traditional black-box Thevenin equivalent method cannot analyze the influence mechanism of wind power integration on Thevenin equivalent parameters. With the increase in wind power penetration, it will be difficult to accurately assess the voltage stability of power systems with wind power. Therefore, a Thevenin equivalent analytical method is proposed to analyze the voltage stability of a power system with wind power. This method adopts the equivalent model of wind power integration based on the current source model. It establishes the Thevenin equivalent analytical model for power system

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3

Zhang, Liang, Shunli Wang, Daniel-Ioan Stroe, Chuanyun Zou, Carlos Fernandez, and Chunmei Yu. "An Accurate Time Constant Parameter Determination Method for the Varying Condition Equivalent Circuit Model of Lithium Batteries." Energies 13, no. 8 (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 cha

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4

Jose, Alfredo Palacio-Fernández, and García Quintero Edwin. "Kalman filter applied to Thevenin's modeling of a lead-acid battery." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 1350–57. https://doi.org/10.11591/ijece.v12i2.pp1350-1357.

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This article determines the internal parameters of a battery analyzed from its circuit equivalent, reviewing important information that can help to identify the battery’s state of charge (SOC) and its state of health (SOH). Although models that allow the dynamics of different types of batteries to be identified have been developed, few have defined the lead-acid battery model from the analysis of a filtered signal by applying a Kalman filter, particularly taking into account the measurement of noise not just at signal output but also at its input (this is a novelty raised from the experi

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5

Jin, Enshu, Zhenyu Song, Xiaofan Yang, and Xin Yu. "Improved Thevenin Equivalent Model of MMC Considering Pre-charge Conditions and DC Side Fault Conditions." Applied Computational Electromagnetics Society 36, no. 6 (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

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6

Fang, Yuan Qi, Xi Ming Cheng, and Yi Lin Yin. "SOC Estimation of Lithium-Ion Battery Packs Based on Thevenin Model." Applied Mechanics and Materials 299 (February 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 wi

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7

Xia, Yue. "Comparison and Analysis of SOC Estimation Based on First-Order and Second-Order Thevenin Battery Models Based on EKF." Academic Journal of Science and Technology 6, no. 3 (2023): 10–18. http://dx.doi.org/10.54097/ajst.v6i3.10163.

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The accurate modeling and estimation of state-of-charge (SOC) of lithium-ion batteries are of great significance for their utilization efficiency, service life extension and battery management system (BMS) design. This paper aims to provide understanding and guidance for understanding and guidance on different battery models and their parameter selection by comparing and analyzing the performance differences of Extended Kalman Filter (EKF) algorithm based on the first-order Thevenin battery model and the second-order Thevenin battery model. The Battery module in Matlab/Simulink is used to simu

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8

Yang, Lichao, Yanshuo Wang, Yang Yang, and Shenquan Yang. "Static Voltage Stability of Distributed Power Access Distribution Network Based on Thevenin Equivalent." Journal of Physics: Conference Series 2442, no. 1 (2023): 012033. http://dx.doi.org/10.1088/1742-6596/2442/1/012033.

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Abstract As part of the process of voltage regulation, a voltage stability analysis approach suitable for wind power system needs to be established. On equivalent Thevenin parameters, the ordinary equivalent black-box Thevenin method is unable to characterize the wind connection mechanism. Accordingly, this paper proposes an analytical method equivalent to Thevenin for analyzing the steady-state voltage of electricity systems with wind energy. The equivalent model is adopted in this method connected to the wind energy grid because of the equivalence of injected nowaday sources. The analytic ex

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9

Di Fazio, Anna Rita, Giuseppe Fusco, and Mario Russo. "Islanding detection method based on a Thevenin-like model." IET Generation, Transmission & Distribution 9, no. 13 (2015): 1747–54. http://dx.doi.org/10.1049/iet-gtd.2014.0721.

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10

Mossaddek, Meriem, El Mehdi Laadissi, Sohaib Bouzaid, and Abdelowahed Hajjaji. "Efficient SOC estimation for electric vehicles: Extended Kalman filter approach for lithium-ion battery systems." International Journal of Power Electronics and Drive Systems (IJPEDS) 16, no. 1 (2025): 440. https://doi.org/10.11591/ijpeds.v16.i1.pp440-447.

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This study investigates the estimation of the state of charge (SOC) in lithium-ion batteries by utilizing the extended Kalman filter (EKF) algorithm. A simulation model was developed in MATLAB, integrating the Thevenin model with the EKF algorithm to assess SOC levels. The results from the simulations confirm the accuracy and reliability of the proposed approach in estimating SOC. Moreover, a Simulink-based model of the Thevenin equivalent circuit and the EKF algorithm was implemented to further verify the effectiveness of the EKF in SOC estimation. This research underscores the potential of t

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11

Mossaddek, Meriem, El Mehdi Laadissi, Sohaib Bouzaid, and Abdelowahed Hajjaji. "Efficient SOC estimation for electric vehicles: Extended Kalman filter approach for lithium-ion battery systems." International Journal of Power Electronics and Drive Systems 16, no. 1 (2025): 440–47. https://doi.org/10.11591/ijpeds.v16.i1.pp440-447.

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This study investigates the estimation of the state of charge (SOC) in lithium-ion batteries by utilizing the extended Kalman filter (EKF) algorithm. A simulation model was developed in MATLAB, integrating the Thevenin model with the EKF algorithm to assess SOC levels. The results from the simulations confirm the accuracy and reliability of the proposed approach in estimating SOC. Moreover, a Simulink-based model of the Thevenin equivalent circuit and the EKF algorithm was implemented to further verify the effectiveness of the EKF in SOC estimation. This research underscores the potential of t

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12

Sona, Alessandro. "Augmented Thevenin Model for the Harmonic Analysis of Switching Circuits." IEEE Transactions on Electromagnetic Compatibility 62, no. 4 (2020): 1342–48. http://dx.doi.org/10.1109/temc.2019.2935511.

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13

do Nascimento, Thiago F., Josenalde B. Oliveira, Elmer R. L. Villarreal, and Andrés O. Salazar. "Discrete-Time Impedance Model-Based Dynamic Analysis and Parameter Design for VSG-Controlled Grid-Forming DG System." Energies 18, no. 13 (2025): 3400. https://doi.org/10.3390/en18133400.

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The virtual synchronous generator (VSG) scheme has proven to be an attractive solution in grid-forming converter applications integrated into distributed generation (DG) systems. Thus, this paper presents the dynamic performance of power flow control using the VSG approach under Thevenin impedance variations seen by the grid-forming converter. The dynamic analysis is based on a discrete-time model that describes the power flow transient characteristics of the system operating in medium- and high-voltage networks. Based on the proposed model, a controller design procedure for the discrete-time

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14

Wei, Ke Xin, and 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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15

Tian, Ning, Yebin Wang, Jian Chen, and Huazhen Fang. "One-shot parameter identification of the Thevenin’s model for batteries: Methods and validation." Journal of Energy Storage 29 (June 2020): 101282. http://dx.doi.org/10.1016/j.est.2020.101282.

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16

Monsalve, German, Alben Cardenas, Diego Acevedo-Bueno, and Wilmar Martinez. "Assessing the Limits of Equivalent Circuit Models and Kalman Filters for Estimating the State of Charge: Case of Agricultural Robots." Energies 16, no. 7 (2023): 3133. http://dx.doi.org/10.3390/en16073133.

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The battery State of Charge (SoC) is critical information to overcome agricultural robots’ limitations related to battery and energy management. Although several SoC estimation methods have been proposed in the literature, the performance of these methods has not been validated for different battery chemistries in agricultural mobile robot applications. Compared to previous work, this paper evaluates the limits of the SoC estimation using the RC model and the Thevenin model for a Lithium Iron Phosphate (LFP) battery and a Sealed Lead Acid (SLA) battery. This evaluation used a custom agricultur

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17

Saikong, Waiard, Prasophchok Phumma, Suradet Tantrairatn, and Chaiyut Sumpavakup. "A Comparative Study on Battery Modelling via Specific Hybrid Pulse Power Characterization Testing for Unmanned Aerial Vehicles in Real Flight Conditions." World Electric Vehicle Journal 16, no. 2 (2025): 55. https://doi.org/10.3390/wevj16020055.

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Battery modelling is essential for optimizing the performance and reliability of Unmanned Aerial Vehicles (UAVs), particularly given the challenges posed by their dynamic power demands and limited onboard computational resources. This study evaluates two widely adopted Equivalent Circuit Models (ECMs), the fixed resistance model and the Thevenin model to determine their suitability for UAV applications. Using the Specific Hybrid Pulse Power Characterization (SHPPC) method, key parameters, including Open Circuit Voltage (OCV), internal resistance (Ri), polarization resistance (R1), and polariza

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18

Palacio-Fernádez, Jose Alfredo, and Edwin García Quintero. "Kalman filter applied to Thevenin’s modeling of a lead-acid battery." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 1350. http://dx.doi.org/10.11591/ijece.v12i2.pp1350-1357.

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<span>This article determines the internal parameters of a battery analyzed from its circuit equivalent, reviewing important information that can help to identify the battery’s state of charge (SOC) and its state of health (SOH). Although models that allow the dynamics of different types of batteries to be identified have been developed, few have defined the lead-acid battery model from the analysis of a filtered signal by applying a Kalman filter, particularly taking into account the measurement of noise not just at signal output but also at its input (this is a novelty raised from the

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19

Patel, K. R., and V. D. Patel. "Virtual Experiments in Physics through Computer Technology: Simulation Model of Thevenin Theorem." i-manager's Journal on Embedded Systems 4, no. 1 (2015): 28–31. http://dx.doi.org/10.26634/jes.4.1.3693.

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20

Liu, Xintian, Xuhui Deng, Yao He, Xinxin Zheng, and Guojian Zeng. "A Dynamic State-of-Charge Estimation Method for Electric Vehicle Lithium-Ion Batteries." Energies 13, no. 1 (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

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21

Nguyen, Kien Trung, and Thi Diep Nguyen. "Online parameter identification for equivalent circuit model of lithium-ion battery." Online parameter identification for equivalent circuit model of lithium-ion battery 31, no. 1 (2023): 151–59. https://doi.org/10.11591/ijeecs.v31.i1.pp151-159.

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Parameter identification is the most fundamental task for the model-based battery management system. However, there are some difficulties in completing this task since most of the existing methods require at least one known parameter or a time-consuming offline procedure to extract parameters from measured data. Based on the well-known thevenin equivalent circuit for battery, this paper determines the unique purpose is introducing the bounded varying forgetting factor recursive least square approach which identifies online all the parameters of the battery model at the same time. The precision

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22

Li, Shaowu. "Circuit Parameter Range of Photovoltaic System to Correctly Use the MPP Linear Model of Photovoltaic Cell." Energies 14, no. 13 (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 matc

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23

Tian, Aijun, Weidong Xue, Chen Zhou, Yongquan Zhang, and Haiying Dong. "Mechanism and Data-Driven Fusion SOC Estimation." Energies 17, no. 19 (2024): 4931. http://dx.doi.org/10.3390/en17194931.

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An accurate assessment of the state of charge (SOC) of electric vehicle batteries is critical for implementing frequency regulation and peak shaving. This study proposes mechanism- and data-driven SOC fusion calculation methods. First, a second-order Thevenin battery model is developed to obtain the physical parameters of the battery. Second, data from the Thevenin battery model and data from four standard cycling conditions in the electric vehicle industry are added to the dataset of the feed-forward neural network data-driven model to construct the test and training sets of the data-driven m

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24

Gerritsen, T. A., D. O. Racansky, and H. Kunov. "A source impedance compensated artificial voice for mask speech intelligibility testing: Thevenin model." Journal of the Acoustical Society of America 100, no. 5 (1996): 3408–16. http://dx.doi.org/10.1121/1.416982.

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25

Bao, Hui, Wei Jiang, and Dan Wei. "Electric Vehicle Battery SOC Estimation Based on EKF." Advanced Materials Research 926-930 (May 2014): 927–31. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.927.

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In order to estimate the battery state of charge (SOC) accurately, an improved Thevenin model of a battery is established, its mathematical relation is very simple, and also it is easy to realize. In addition, we identify the model parameters, and then use extended Calman filter algorithm to estimate the battery state of charge. The simulation results show that, this model can well reflect the dynamic and static characteristics of a battery, and the Calman algorithm can keep good accuracy in the estimation process.

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26

Pande, Arvind Subhash, Bhanu Pratap Soni, and Ankit Kumar Sharma. "Modeling of one and two RC model and state estimation of Lithium-Ion Battery using Thevenin’s equivalent Circuit Model." Procedia Computer Science 259 (2025): 494–503. https://doi.org/10.1016/j.procs.2025.03.351.

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27

Trung, Nguyen Kien, and Nguyen Thi Diep. "Online parameter identification for equivalent circuit model of lithium-ion battery." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 1 (2023): 151. http://dx.doi.org/10.11591/ijeecs.v31.i1.pp151-159.

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Parameter identification is the most fundamental task for the model-based battery management system. However, there are some difficulties in completing this task since most of the existing methods require at least one known parameter or a time-consuming offline procedure to extract parameters from measured data. Based on the well-known thevenin equivalent circuit for battery, this paper determines the unique purpose is introducing the bounded varying forgetting factor recursive least square approach which identifies online all the parameters of the battery model at the same time. The precision

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28

Yao, Low Wen, Wirun A/l Prayun, Mohd Junaidi Bin Abdul Aziz, and Tole Sutikno. "Battery State-of-Charge Estimation with Extended Kalman-Filter using Third-Order Thevenin Model." TELKOMNIKA (Telecommunication Computing Electronics and Control) 13, no. 2 (2015): 401. http://dx.doi.org/10.12928/telkomnika.v13i2.1467.

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29

Ding, Xiaofeng, Donghuai Zhang, Jiawei Cheng, Binbin Wang, and Patrick Chi Kwong Luk. "An improved Thevenin model of lithium-ion battery with high accuracy for electric vehicles." Applied Energy 254 (November 2019): 113615. http://dx.doi.org/10.1016/j.apenergy.2019.113615.

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30

Lyu, Zhiqiang, and Renjing Gao. "Li‐ion battery state of health estimation through Gaussian process regression with Thevenin model." International Journal of Energy Research 44, no. 13 (2020): 10262–81. http://dx.doi.org/10.1002/er.5647.

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31

Lugo-Muñoz, Denise, Juan Muci, Adelmo Ortiz-Conde, et al. "Modeling of Thin-Film Lateral SOI PIN Diodes with an Alternative Multi-Branch Explicit Current Model." Journal of Integrated Circuits and Systems 7, no. 2 (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 mode

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32

JIANG, Minglu, Zhangcai HUANG, Atsushi KUROKAWA, Shuai FANG, and Yasuaki INOUE. "Accurate Method for Calculating the Effective Capacitance with RC Loads Based on the Thevenin Model." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E92-A, no. 10 (2009): 2531–39. http://dx.doi.org/10.1587/transfun.e92.a.2531.

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33

Xiong, Rui, Hongwen He, and Kai Zhao. "Research on an Online Identification Algorithm for a Thevenin Battery Model by an Experimental Approach." International Journal of Green Energy 12, no. 3 (2014): 272–78. http://dx.doi.org/10.1080/15435075.2014.891512.

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34

Huang, Jian Long, Ying Nan Wang, Zhong Feng Wang, Feng Li Han, and Li Gang Li. "The Experiments of Dual Kalman Filter in Lithium Battery SOC Estimation." Applied Mechanics and Materials 494-495 (February 2014): 1509–12. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1509.

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We use Thevenin battery model and Kalman filter algorithm to online estimate lithium-ion battery pack state of charge (SOC) in this paper. In order to improve the accuracy of the model we use least square method and Dual Kalman filter (DEKF) algorithms to identify the parameters of model. The battery model can reflect the true state of internal battery well. The principle of Kalman filter algorithm is introduced. The relevant battery testing laboratory is designed. The algorithm has better accuracy when online estimate SOC and adapt to the environment well from experimental results. Finally, t

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35

Amifia, Lora Khaula, and Muhammad Adib Kamali. "Evaluating the Battery Management System's Performance Under Levels of State of Health (SOH) Parameters." Journal of Robotics and Control (JRC) 4, no. 6 (2023): 808–17. http://dx.doi.org/10.18196/jrc.v4i6.20401.

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Batteries in electric vehicles are the primary focus battery health care. The Battery Management System (BMS) maintains optimal battery conditions by evaluating the system's Htate of health (SOH). SOH identification can recommend the right time to replace the battery to keep the electric vehicle system working optimally. With suitable title and accuracy, the battery will avoid failure and have a long service life. This research aims to produce estimates and identify SOH parameters so that the performance of the battery management system increases. The central parameter values obtained are R0,

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36

Shen, Hong Yu, Wen Jun Zhang, Yu Bo Duan, and Jian Jun Xu. "A New PMU-Based Fault Location Algorithm for Three-Terminal." Advanced Materials Research 634-638 (January 2013): 3925–29. http://dx.doi.org/10.4028/www.scientific.net/amr.634-638.3925.

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Existing two-terminal fault location method can not be directly applied to the three-terminal transmission lines, this paper presents a new PMU-based fault location algorithm for three-terminal transmission lines. The development of the algorithm takes advantage of PMU measurement data synchronization, uses distributed parameter line model, first of all judging the fault zone after a failure, uses Thevenin's Theorem to merge the non-slip fault, so the three-terminal system is simplified the two-terminal system, Then we can use the two-terminal fault location principle of fault location. Throug

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37

Huang, Jian Long, Zhong Feng Wang, Kun Ya Guo, Xiao Tian Wang, Li Gang Li, and Zhe Zhu Huang. "The Analysis of Modeling of Dual Kalman Filter in Lithium Battery SOC Estimates." Applied Mechanics and Materials 513-517 (February 2014): 4294–97. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4294.

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In order to online estimate the state of charge (SOC) of lithium-ion battery pack in this paper. This article establishes a dual Kalman filter (DEKF) algorithms for it. We establish a battery model of state space expression based on Thevenin battery model and Kalman filter algorithms. We use least square method and DEKF algorithms to identify the parameters of battery model in order to improve the accuracy of battery model. It can make battery model reflect true state of internal battery well. It introduces the principle which is dual Kalman filter algorithm online estimate the state of charge

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38

Al-Khusaibi, T. M., K. A. Ellithy, and M. R. Irving. "State-of-the-Art Methods for Electric Power Systems Voltage Stability Analysis." Sultan Qaboos University Journal for Science [SQUJS] 5 (December 1, 2000): 247. http://dx.doi.org/10.24200/squjs.vol5iss0pp247-263.

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This paper presents a literature survey on the subject of voltage stability analysis of power systems. The survey describes several published methods and techniques used to determine voltage stability indices. These indices predict proximity to voltage instability and collapse problems. The Q-V and P-V curves; singular value decomposition; modal analysis; test function; reduced determinant; loading margin by multiple power flow solutions; local load margins; thevenin/load impedance; and energy function are the methods which have been decribed in the paper. The methods described are based on th

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39

Feng, Kaihui, Bibin Huang, Qionghui Li, and Hu Yan. "Online Estimation of Li-ion Battery SOC for Electric Vehicles Based on An Improved AEKF." E3S Web of Conferences 118 (2019): 02025. http://dx.doi.org/10.1051/e3sconf/201911802025.

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The purpose of this paper is to discuss how to eliminate the influence of noise time -varying characteristics on the accuracy of SOC estimation. Based on the matlab/simulink platform, the Thevenin equivalent circuit model of the battery is built, and an improved Adaptive Extend Kalman Filter (AEKF) is designed, which is compared with the Extend Kalman filter algorithm (EKF).The simulation results are shown that the improved AEKF algorithm results in effective online estimation SOC and the estimation accuracy is higher than the EKF algorithm.

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40

Srivastava, Sachin, U. J. Shenoy, Abhinna Chandra Biswal, and Ganesan Sethuraman. "Impedance seen by Distance Relays on Lines Fed from Fixed Speed Wind Turbines." International Journal of Emerging Electric Power Systems 14, no. 1 (2013): 17–24. http://dx.doi.org/10.1515/ijeeps-2013-0026.

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Abstract This paper deals with line protection challenges experienced in a system having substantial wind generation penetration. Two types of generators, thermal synchronous generators and fixed speed wind turbines based on squirrel-cage induction generators, are simulated as thevenin equivalent model, connected to grid with single-circuit transmission line. The paper gives comparative discussion and summarizes analytical investigations carried out on the impedance seen by distance relays by varying fault resistances and grid short circuit MVA, for the protection of such transmission lines du

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Chen, Guan-Jhu, Yi-Hua Liu, Yu-Shan Cheng, and Hung-Yu Pai. "A Novel Optimal Charging Algorithm for Lithium-Ion Batteries Based on Model Predictive Control." Energies 14, no. 8 (2021): 2238. http://dx.doi.org/10.3390/en14082238.

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Lithium-ion (Li-ion) batteries play a substantial role in portable consumer electronics, electric vehicles and large power energy storage systems. For Li-ion batteries, developing an optimal charging algorithm that simultaneously takes rises in charging time and charging temperature into account is essential. In this paper, a model predictive control-based charging algorithm is proposed. This study uses the Thevenin equivalent circuit battery and transforms it into the state-space equation to develop the model predictive controller. The usage of such models in the battery optimal control conte

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Balouktsis, A., T. D. Karapantsios, K. Anastasiou, A. Antoniadis, and I. Balouktsis. "Load matching in a direct-coupled photovoltaic system-application to Thevenin's equivalent loads." International Journal of Photoenergy 2006 (2006): 1–7. http://dx.doi.org/10.1155/ijp/2006/27274.

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A methodology is developed for the assessment of load matching and further estimation of the optimum photovoltaic (PV) arrays arrangement over a prolonged period of time. The method calls for the calculation of the appropriate effectiveness factor defined as the ratio of the load energy over the maximum energy that can be produced by the PV array for a specific time period. The effectiveness factor depends on the PV array characteristics, the load characteristics, and the solar irradiance conditions. To produce realistic predictions for the effectiveness factor and the PV arrays arrangement wi

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Li, Yanming, Liyuan Duan, Sining Zhang, and Keling Song. "A new method for diagnosing insulation failures in battery packs based on BiLSTM networks." Journal of Physics: Conference Series 2849, no. 1 (2024): 012043. http://dx.doi.org/10.1088/1742-6596/2849/1/012043.

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Abstract Power batteries need to meet the high voltage and large capacity requirements of automobiles, especially under high voltage. Their insulation performance requirements are more stringent. The essay first establishes a mold suitable for insulation failure diagnosis basis the second-order Thevenin equivalent model. Then, the BiLSTM network structure is introduced to construct an insulation failure diagnosis model based on BiLSTM. This model enhances the model’s ability to capture data by bidirectional processing of past and future time series of battery pack insulation data. Finally, the

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Wang, Zhang Quan, You Rong Chen, and Yue Ruan. "Modeling of Arbitrary Power Level PV Array Based on Circuit Equivalent Mechanism." Advanced Materials Research 424-425 (January 2012): 586–91. http://dx.doi.org/10.4028/www.scientific.net/amr.424-425.586.

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According to the equivalent circuit of single solar cell and the V-I equation of PV cell based on physical mechanism, a simulation model of single solar cell is established. According to this model and structure feature of PV array, the Thevenin circuit equivalent transform theory is used. The control relationship between single solar cell and PV array is given. Then a simple modeling method for arbitrary power level PV array is proposed. To verify the model effectiveness, a Pspice simulation model is established. Output characteristics of the model and its feasibility in PV power generation s

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Jutong, N., D. Sompongse, P. Rakpongsiri, and Apirat Siritaratiwat. "Dependence of Flex on Suspension Capacitance on Human-Body-Model-Electrostatic-Discharge Affected TMR Head." Solid State Phenomena 152-153 (April 2009): 439–42. http://dx.doi.org/10.4028/www.scientific.net/ssp.152-153.439.

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Electrostatic discharge (ESD) effects on GMR recording heads have been reported as the major cause of head failure. Since the information density in hard-disk drives has dramatically increased, the GMR head will be no longer used. The tunneling magnetoresistive (TMR) read heads are initially introduced for a 100 Gbit/in2 density or more. Although the failure mechanism of ESD in GMR recording head has not been explicitly understood in detail, study to protect from this effect has to be undergone. As the TMR head has been commercially started, the ESD effect is closely watched. This is the first

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Buryk, Mykola, Vadim Lobodzinsky, Ivan Buryk, and Oleksandr Lisovyi. "Numerical modeling of electrical parameters of LiFePO4 batteries." Technology audit and production reserves 3, no. 1(77) (2024): 27–34. http://dx.doi.org/10.15587/2706-5448.2024.304400.

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The object of research is the physical processes of electric energy storage in Li-ion batteries. The problem being solved in the work is related to the lack of reliable mathematical models of storage batteries, which leads to the appearance of undesirable effects or emergency situations when changing operating modes. In the course of the work, Li-ion battery models based on electrochemical theory and electrical circuits were considered. The six most common equivalent battery replacement schemes are presented. The advantages and disadvantages of the considered substitution schemes are given. Th

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Wang, Hao, Yanping Zheng, and Yang Yu. "Lithium-Ion Battery SOC Estimation Based on Adaptive Forgetting Factor Least Squares Online Identification and Unscented Kalman Filter." Mathematics 9, no. 15 (2021): 1733. http://dx.doi.org/10.3390/math9151733.

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In order to improve the estimation accuracy of the battery state of charge (SOC) based on the equivalent circuit model, a lithium-ion battery SOC estimation method based on adaptive forgetting factor least squares and unscented Kalman filtering is proposed. The Thevenin equivalent circuit model of the battery is established. Through the simulated annealing optimization algorithm, the forgetting factor is adaptively changed in real-time according to the model demand, and the SOC estimation is realized by combining the least-squares online identification of the adaptive forgetting factor and the

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Bahach, Ruslan, Andrii Hnatov, and Shchasiana Arhun. "Simulation modeling of the LTC4020 charging controller for lithium-ion batteries." Vehicle and electronics. Innovative technologies, no. 26 (December 12, 2024): 25–35. https://doi.org/10.30977/veit.2024.26.0.3.

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Problem. Modern lithium-ion batteries are widely used in electric vehicles, medical devices, photovoltaic systems, and other fields due to their high energy density and efficiency. However, they require complex charging management to ensure safety, prevent degradation, and extend lifespan. Existing charging devices often have limitations in supporting a wide range of voltages and currents, as well as versatility in working with different types of batteries. Goal. To analyze and simulate the operation of the combined LTC4020 controller to optimize the charging process for lithium-ion batteries

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Xu, Zhu, Shibin Gao, and Shunfeng Yang. "LiFePO4 battery state of charge estimation based on the improved Thevenin equivalent circuit model and Kalman filtering." Journal of Renewable and Sustainable Energy 8, no. 2 (2016): 024103. http://dx.doi.org/10.1063/1.4944335.

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Díaz-Araujo, Marcolino Humberto, Aurelio Medina-Rios, Manuel Madrigal-Martínez, and Luis Arthur Cleary-Balderas. "Analysis of Grid-Connected Photovoltaic Generation Systems in the Harmonic Domain." Energies 12, no. 24 (2019): 4785. http://dx.doi.org/10.3390/en12244785.

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In this contribution, a harmonic domain (HD) model of grid-connected photovoltaic (PV) generation systems is proposed. The topology of the PV generation system contains a PV array connected to a DC/DC converter and a DC/AC converter, coupled to the grid through a filter. The individual components of the PV system are modeled in the HD. The PV array is represented as a Thevenin equivalent, whereas the DC/DC converter and the DC/AC converter are represented in the HD using switching function matrices. The periodic steady-state solution of the PV system is obtained through simple matrix/vector op

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