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

Method for forecasting service life of lithium ion battery based on capacity attenuation mechanism decomposition analysis

A lithium-ion battery, capacity attenuation technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as the disconnection of the attenuation mechanism, and achieve the effect of reducing test samples and improving the accuracy of life prediction

Active Publication Date: 2017-02-08
SHANGHAI POWER ENERGY STORAGE BATTERY SYST ENG TECH +1
View PDF6 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of being out of touch with the attenuation mechanism in the process of predicting the remaining capacity of lithium-ion batteries, and to establish a method that can accurately predict the remaining capacity of lithium-ion batteries.

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
  • Method for forecasting service life of lithium ion battery based on capacity attenuation mechanism decomposition analysis
  • Method for forecasting service life of lithium ion battery based on capacity attenuation mechanism decomposition analysis
  • Method for forecasting service life of lithium ion battery based on capacity attenuation mechanism decomposition analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be further described below through specific embodiments in conjunction with the accompanying drawings. These embodiments are only used to illustrate the present invention, and are not intended to limit the protection scope of the present invention.

[0027] The lithium-ion battery life prediction method based on the capacity decay mechanism decomposition analysis of the present invention decomposes the capacity decay of the lithium-ion battery into three decay modes based on different chemical and physical mechanisms, and performs different chemical or physical tests on different decay modes. According to the regular extrapolation, the capacity fading of lithium-ion batteries is the result of the joint action of the three modes. Such as figure 1 As shown, the implementation steps of the forecast are as follows:

[0028] Step 1 (S1), based on the working principle of lithium ion battery (i.e. the basic electrochemical model of lithium ion batt...

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 method for forecasting service life of a lithium ion battery based on capacity attenuation mechanism decomposition analysis. The method comprises the following steps: step one, establishing an equilibrium potential equation of a lithium ion battery to be tested by subtracting equilibrium potentials of positive and negative electrodes with combination of test data of the lithium ion battery to be tested, and then carrying out polarization modification to obtain the equilibrium potential equation; step two, establishing a multi-attenuation-mode decomposition model based on different attenuation mechanisms of the lithium ion battery, establishing a multi-attenuation-mode fitting equation of the lithium ion battery to be tested through a short-term aging test and forecasting attenuation trend; and step three, substituting a forecasting result of the multi-attenuation-mode fitting equation into the equilibrium potential equation of the lithium ion battery to be tested, and forecasting residual capacity. Through the service life forecasting method for carrying out decomposition analysis of different attenuation modes based on different capacity attenuations of the lithium ion battery, the problem that simple extrapolation is carried out according to the experiment test data or the attenuation of the service life of the lithium ion battery is simply ascribed to the single electrochemical mechanism is solved.

Description

technical field [0001] The invention belongs to the field of lithium ion battery life prediction and relates to a lithium ion battery life prediction method based on capacity decay mechanism decomposition analysis. Background technique [0002] Lithium-ion batteries have the advantages of high working voltage, high energy density, long cycle life, and low self-discharge, and are widely used in portable electronic devices, electric vehicles, new energy power generation and energy storage, and space fields. [0003] Compared with other types of secondary batteries, lithium-ion batteries have better life characteristics, better room temperature storage performance and cycle performance. The storage life of lithium-ion batteries at room temperature can reach 6-8 years, and the long-storage life of lithium-ion batteries developed for long-term storage life characteristics can even reach 10-15 years; and used for electric vehicle power battery systems and energy storage battery sy...

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): G01R31/36
CPCG01R31/367
Inventor 晏莉琴吕桃林罗英张熠霄罗伟林解晶莹
Owner SHANGHAI POWER ENERGY STORAGE BATTERY SYST ENG 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