DOI: 10.1016/J.EST.2019.100762 Corpus ID: 164907973 Equivalent circuit models and parameter identification methods for lithium-ion capacitors @article{Song2019EquivalentCM, title={Equivalent circuit models and parameter identification methods for lithium-ion capacitors}, author={Shuang Song and Xiong …
Capacitor voltage transformers for voltage measurements are well established in high-voltage and extra-high voltage grids for decades. It is shown that a value identification of the capacitor elements C 1 and C 2 can be performed on-site without dismounting the
It can be obtained again through a calculation that R-square is 0.9585, SSE is 0.0198, and RMSE is 0.0113. It can be seen that compared with using 1stOpt separately for parameter identification, R-square increased by 0.55 %, SSE, and RMSE decreased by 11.11 % and 4.24 %, respectively. ...
Accurate estimation of the state of charge (SOC) for lithium-ion batteries (LIBs) has now become a crucial work in developing a battery management system. In this paper, the characteristic parameters of LIBs under wide temperature range are collected to examine the influence of parameter identification precision and temperature on the …
Flexible capacitor characterisation using algebraic parameter identification approach Andrea G. Martínez-Lopez 1 Rogelio de J. Portillo-Vélez 2 Diego Amador Rueda 3
Capacitor is the core component of power electronic system and one of the most easily failed power electronic components. Its operating state directly affects the stability of power electronic system. In order to find and replace the faulty capacitor in time, a capacitor parameter identification method based on capacitor discharge law is …
Semantic Scholar extracted view of "A new parameters identification procedure for simplified double layer capacitor two-branch model" by R. Faranda DOI: 10.1016/J.EPSR.2009.10.024 Corpus ID: 110236542 A new parameters identification procedure for simplified
This paper establishes and compares two equivalent circuit models for lithium-ion capacitors: a classical model and a two-branch model. The experimental and …
However, the current studies on parameter identification of AECs have not focused on this issue. In this article, the double-scale convolutional autoencoder and extreme learning machine (DCAE-ELM) framework is proposed to identify C and ESR based on AEC voltage.
A parameter identification method for the DC‐link capacitor in electric vehicle inverter is proposed, based on Back Propagation neural network with Improved Gray Wolf Optimization (IGWO), which shows that the monitoring using IGWO‐BP neural network has better performance. DC‐link capacitor is one of the most vulnerable passive …
Considering the capacitor C failure of the boost converter, the capacitor changes from 2.85 mF to 1 mF in 1.5 s. The tracking of the inductance L is shown in Fig. 3 (a).The parameter estimation result of the capacitance C is …
Aluminum electrolytic capacitors (AECs) are utilized as the key components in smart transformers (STs). The service status of the AEC is crucial for the mainten The Low-rank Double-scale Convolutional Neural Network for Parameter Identification of DC Bus ...
resistors and capacitors. The parameter identification uses an exponential fitting method. The values of the resistors and capacitors are the results of identification at a specific SOC. In the process of charging and discharging, when the SOC value of the
Abstract: The paper introduces a straightforward procedure for estimating the electrical parameters of a simple, but reasonably accurate, two-branches model of a …
Therefore, the parameter identification of passive components, mainly including capacitor and inductor, is of great significance for the health monitoring of power electronic converters. Currently, from the perspective of used model, capacitor condition monitoring methods can be classified into two main categories:
This brief puts forward a prototype to test the frequency-dependent characteristics of the capacitors, both the capacitor voltage and current are acquired by using the prototype, …
Therefore, based on Back Propagation (BP) neural network with Improved Gray Wolf Optimization (IGWO), a parameter identification method for the DC-link capacitor in electric vehicle inverter is proposed. In …
Identify Supercapacitor Parameter - MATLAB & Simulink
This paper proposes a white-box approach for identifying the parameters of DC-DC buck and boost switch mode power converters. It is based on discretizing the differential equations that describe the dynamic behavior of the converters. From the discretized equations and experimental data, the parameters of the converters are …
Parameter identification is an effective way to obtain uncertain parameters of wireless power transfer (WPT) systems, which is essential to achieving robust control and efficiency improvement. The traditional method relies on the phase lock of the primary impedance angle or lengthy algorithm iterations, and the identification …
In order to find and replace the faulty capacitor in time, a capacitor parameter identification method based on capacitor discharge law is proposed. …
Aluminum electrolytic capacitors are the most commonly used components in circuit systems but are the weakest part of the systems. To make better use of this kind of components, it is crucial to monitor their status and parameter variations more accurately. This brief puts forward a prototype to test the frequency-dependent characteristics of the …
Lithium-ion capacitor (LIC) is a viable candidate with good commercial prospects in renewable energy, hybrid electric vehicles, and smart grids. It is the convenient route of application development to build the equivalent circuit model of the device in the simulation software. In this article, two advanced fractional-order models of LICs with …
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