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A Parameter Extraction Method for the Thevenin Equivalent Circuit Model of Li-ion Batteries [PDF]
2019 IEEE Industry Applications Society Annual Meeting, 2019 This paper presents a novel parameter extraction method for the Thevenin equivalent circuit model of Lithium-ion batteries. The proposed approach represents each of the RC parallel branches of the Thevenin equivalent circuit model of a Lithium-ion battery as a first order linear time-invariant (LTI) system.
Monowar Hossain +4 more
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Current estimation using Thevenin battery model
Proceedings of the Joint International Conference on Electric Vehicular Technology and Industrial, Mechanical, Electrical and Chemical Engineering (ICEVT & IMECE), 2015Current sensor is an important part of Battery Management System (BMS). Current information of a battery is very important to estimate the value of State of Charge (SOC) as a component of fault detection. Fault detection is very important to implement in BMS because of its function to protect battery from damage caused by over discharge and overcharge.
Wahyu Sukestyastama Putra +3 more
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SOC Estimation of Lithium-Ion Battery Packs Based on Thevenin Model
Applied Mechanics and Materials, 2013Due 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 ...
Yuan Qi Fang, Xi Ming Cheng, Yi Lin Yin
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A Thevenin Model for Internal Electromagnetic Transient Characteristics Study of the MMCs
2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 2023Ruting Tang +3 more
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Thevenin-based Battery Model with Ageing Effects in Modelica
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022Roman Milishchuk, Tetiana Bogodorova
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Voltage Stability Analysis of a Power System with Wind Power Based on the Thevenin Equivalent Analytical Method [PDF]
Electronics (Switzerland), 2022 The traditional black-box Thevenin equivalent method cannot analyze the influence mechanism of wind power integration on Thevenin equivalent parameters.
Xia Zhou, Ping Chang, Tengfei Zhang
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2010 International Conference on Optics, Photonics and Energy Engineering (OPEE), 2010
Based on artificial neural networks and Thenvenin model, this paper uses an improved model predicting state of charge. We combine artificial neural networks model with Thevenin model, and predict state of charge in real time at the same time. When the difference between the predictive value of artificial neural networks model and the predictive value ...
null Changhao Piao +3 more
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Based on artificial neural networks and Thenvenin model, this paper uses an improved model predicting state of charge. We combine artificial neural networks model with Thevenin model, and predict state of charge in real time at the same time. When the difference between the predictive value of artificial neural networks model and the predictive value ...
null Changhao Piao +3 more
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A Dynamic Model of Impedance for Online Thevenin’s Equivalent Estimation
IEEE Transactions on Circuits and Systems II: Express Briefs, 2022A time domain dynamic model of impedance has been developed in this work for online estimation of Thevenin’s equivalent impedance of a network seen from a bus. Although the time domain impedance (ratio of instantaneous AC voltage and current) is undefined in a period, a zone of definition and workability has been defined.
Arpan Malkhandi +2 more
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Accurate Thevenin's circuit-based battery model parameter identification
2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), 2016Batteries are becoming the main energy storage devices in following decades. Highly accurate battery models are needed to fulfill accurate controlling and monitoring purpose. For real-time operations, the calculation complexity of the battery model is an issue. Thevenin's circuit model is a tradeoff between fast calculation and accuracy. The model uses
Cong-Sheng Huang, Mo-Yuen Chow
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