Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Super capacitor residual life prediction method and device, medium and equipment

A technology for supercapacitors and life prediction, which is applied in the directions of measuring devices, measuring electricity, measuring electrical variables, etc., and can solve the problems of not considering the evaluation results and not providing solutions, etc.

Pending Publication Date: 2021-01-29
SOUTH CHINA UNIV OF TECH
View PDF1 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method is only suitable for the life evaluation of supercapacitors under constant working conditions (equivalent to the initial life estimated according to the expected constant working conditions before the product leaves the factory or before use), and the obtained is a static profile without considering the actual working conditions The evaluation results of
However, when supercapacitors are actually used, their working conditions are constantly changing, and it is necessary to predict their remaining life in real time according to the actual working condition profile, but this method does not provide relevant solutions.

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 residual life prediction method and device, medium and equipment
  • Super capacitor residual life prediction method and device, medium and equipment
  • Super capacitor residual life prediction method and device, medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] This embodiment discloses a method for predicting the remaining life of a supercapacitor, wherein the supercapacitor RC equivalent circuit model is as follows figure 1 As shown, the model consists of an ideal capacitor Csc and a series resistance Rseries representing all non-idealities in the supercapacitor. As with all supercapacitors, they will continue to age during use, which is manifested by a decrease in capacitance and an increase in series resistance. Among them, the decrease in capacitance is due to the degradation of the organic electrolyte hindering the porosity of the electrode, and the increase in resistance is attributed to the increase in distributed resistance due to the porous electrode structure, the formation of a solid electrolyte interface (SEI) layer, and the conductivity of the electrolyte. When the capacitance decreases by 30% or the series resistance doubles, the life of the supercapacitor ends. The aging rate of supercapacitors is related to w...

Embodiment 2

[0149] This embodiment discloses a device for predicting the remaining life of a supercapacitor, including a first acquisition module, a second acquisition module, a first calculation module, an acquisition module, a second calculation module, a life loss calculation module, and a remaining life value calculation module, The specific functions of each module are as follows:

[0150] The first acquisition module is used to obtain the initial equivalent series resistance of each supercapacitor calculated in the constant current charge and discharge test in the environment of T1°C for two groups of supercapacitors with the same brand specification of the supercapacitor whose life expectancy is to be predicted, and T1 is constant.

[0151] The second acquisition module is used for two sets of supercapacitors. After both sets of supercapacitors are placed in a T2°C incubator, and the two sets of supercapacitors are respectively set with different charge and discharge currents to ca...

Embodiment 3

[0159] This embodiment discloses a storage medium, which stores a program. When the program is executed by a processor, the method for predicting the remaining life of a supercapacitor described in Embodiment 1 is implemented, as follows:

[0160] For multiple supercapacitors with the same brand and specifications of the supercapacitor whose life expectancy is to be predicted, obtain the initial equivalent series resistance calculated in the constant current charge and discharge test of each supercapacitor in an environment of T1°C, where T1 is a constant;

[0161] For the two groups of supercapacitors divided into the above-mentioned supercapacitors of the same brand specification, both groups of supercapacitors are placed in a T2°C incubator, and the two groups of supercapacitors are set with different charge and discharge currents for constant current charge and discharge cycle test After the process, the test life of each supercapacitor is obtained, and T2 is a constant;

...

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 discloses a super capacitor residual life prediction method and device, a medium and equipment, and the method comprises the steps: firstly obtaining initial equivalent series resistancefor a plurality of super capacitors with the same brand specification; for the two groups of super capacitors, after a constant-current charging and discharging cycle test process is carried out, acquiring the test life of each super capacitor; calculating the average service life of the two groups of super capacitors, and calculating the current acceleration coefficient and the rated RMS currentvalue of the brand specification super capacitor; for the super capacitor of which the service life needs to be predicted, collecting the working voltage, the environment temperature and the currentof the super capacitor in real time, calculating the working voltage maximum steady-state value, the environment temperature average value and the RMS current value of the super capacitor in differenttime periods, calculating the service life loss of the super capacitor from the beginning to the current moment, and finally combined with the initial service life of the super capacitor, calculatingthe residual life value of the super capacitor at the current moment. The invention effectively improves the prediction accuracy of the residual life of the super capacitor.

Description

technical field [0001] The invention relates to the technical field of supercapacitors, in particular to a method, device, medium and equipment for predicting the remaining life of a supercapacitor. Background technique [0002] Supercapacitors, also known as supercapacitors and electric double-layer capacitors (EDLCs), fill the gap in energy storage technologies by offering higher energy density than conventional electrostatic capacitors and electrolytic capacitors and higher power density than batteries and fuel cells. Blank, is widely used in transportation, electric power, industrial machinery, consumer electronics and other fields. [0003] During the use of supercapacitors, their charge storage performance will degrade over time. Supercapacitors are mostly used in various applications for backup power supply, energy recovery, etc. Once the service life ends, the entire application system may fail to work. Therefore, there is an urgent need to predict the life of supe...

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): G06F30/20G01R31/00G06F119/04
CPCG06F30/20G01R31/00G01R31/003G06F2119/04
Inventor 王钢俞鹏飞汪隆君
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products