Super-capacitor fractional order model parameter identification method

A technology of model parameter identification and supercapacitor, which is applied in the direction of electrical digital data processing, CAD circuit design, special data processing applications, etc., can solve problems such as difficult time domain analysis, unanalyzed RLC circuits, etc.

Inactive Publication Date: 2017-09-01
CHINA UNIV OF PETROLEUM (BEIJING)
View PDF8 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

They only conduct experiments and identifications for the first-order RC circuit, and can obtain the time-domain numerical solution of the step response of the fractional-order model of the capacitor, but they do not analyze the second-order and above RLC circuits
The shortcomings of the experimental method and numerical calculation of the step or impulse response in the time domain are: for the step or impulse response of the fractional order model of the RLC circuit of the second order and above, the Laplace inverse from the frequency d

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Super-capacitor fractional order model parameter identification method
  • Super-capacitor fractional order model parameter identification method
  • Super-capacitor fractional order model parameter identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0076] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0077] Aiming at the problems existing in the prior art in this field, an embodiment of the present invention provides a supercapacitor fractional parameter (resistance, capacitance and fractional order) identification method and device, the method is based on the model parameters of actual capacitance and inductance Both are fractional-order scientific facts, using fractional-order RL to measure supercapacitors β C α The experimental method of se...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a super-capacitor fractional order model parameter identification method. The method comprises the steps of 1, experimentally collecting resonant frequency response data of a series resonant circuit containing a super-capacitor; 2, analyzing and calculating the resonant frequency response data of the series resonant circuit containing the super-capacitor; and 3, according to a fractional order calculus theoretical derivation formula, performing identification to obtain the capacity and a fractional order of the super-capacitor. According to the method, based on the scientific fact that model parameters of actual capacitance and inductance are all fractional order parameters, by adopting an experimental method for measuring fractional order series resonance frequency response of the super-capacitor, and through building a super-capacitor shunt Ro C alpha fractional order impedance model, resonant frequency response experiment and numerical calculation are carried out, a super-capacitor fractional order model parameter identifier is designed and manufactured, and accurate parameters of a super-capacitor fractional order model are obtained; and the experiment is simple and easy, the steps are concise, a calculation result is accurate, and the applicability is wide.

Description

technical field [0001] The present invention relates to the technical field of fractional-order model parameter identification of supercapacitors, in particular to a method for identifying fractional-order model parameters of supercapacitors using series resonance frequency response measurements. Background technique [0002] As an energy storage device, supercapacitors have been widely used due to their excellent characteristics. In recent years, research on supercapacitors has continued to deepen. In order to describe the complex internal structure of porous carbon materials and the corresponding capacitance values, the predecessors proposed three basic models: traditional equivalent circuit model, artificial neural network model and fractional order model. . Since Leibnitz and L'Hospital proposed the concept of fractional calculus in 1695, the fractional order model has become the most diverse model. Compared with the traditional equivalent circuit model, this type of mo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/50
CPCG06F30/36
Inventor 梁志珊夏鹏程徐刚肖霄左信
Owner CHINA UNIV OF PETROLEUM (BEIJING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products