Unlock instant, AI-driven research and patent intelligence for your innovation.

Lithium ion battery life prediction method and system based on capacity fading model

A lithium-ion battery, life prediction technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problem of low battery life prediction accuracy, achieve timely battery fault detection and health management, and ensure reliability and safety. Effect

Pending Publication Date: 2020-11-24
SHAANXI UNIV OF SCI & TECH
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the technical problem of low fitting degree of lithium-ion battery capacity decline model in the above-mentioned prior art, resulting in low accuracy of battery life prediction, and to provide a lithium-ion battery life prediction method based on capacity decline model and system

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
  • Lithium ion battery life prediction method and system based on capacity fading model
  • Lithium ion battery life prediction method and system based on capacity fading model
  • Lithium ion battery life prediction method and system based on capacity fading model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] In this embodiment, a cylindrical battery with a model of 18650, a rated capacity of 9.0Ah, and a discharge current of 0.45A is used as the research object, such as figure 1 As shown, a lithium-ion battery life prediction method based on the capacity decline model is established, as follows:

[0042] 1. Obtain the data of lithium-ion battery capacity decline and do preliminary processing on the data

[0043] The experimental data of battery capacity decline in this paper uses the open source Battery Data Set experimental data from the Advanced Life Cycle Engineering Center of the University of Maryland. After the data is acquired, the data is firstly preprocessed to eliminate abnormal data, and finally four sets of battery capacity decline data are selected for research. These four sets of battery data are from the same manufacturer, the model is 18650, the rated capacity is 9.0Ah, and the discharge current is 0.45A cylindrical battery.

[0044] 2. Selection of batter...

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 lithium ion battery life prediction method and a system based on a capacity fading model, and belongs to the field of lithium ion battery life detection. The method comprisesthe following steps: establishing an empirical model according to the historical experimental data, performing regression characteristic analysis on the empirical model, establishing an empirical combination model, obtaining prior distribution of model parameters, obtaining posteriori distribution of the parameters based on the Bayesian theory, further calculating prediction distribution of battery capacity decline, and finally calculating to obtain the residual service life of the lithium ion battery to be predicted. The method for predicting the service life of the lithium ion battery has the advantages of accurately reflecting local characteristics of battery capacity decline by establishing the empirical combination model, realizing high-precision prediction of the service life of thebattery, being high in operation speed and being capable of realizing rapid estimation of the residual service life of the lithium ion battery.

Description

technical field [0001] The invention belongs to the field of lithium-ion battery life detection, and relates to a lithium-ion battery life prediction method and system based on a capacity decay model. Background technique [0002] At present, major automobile manufacturers in the world have invested huge manpower, material resources, and financial resources in electric vehicles. After basic research, key technology breakthroughs, product development and testing, they have now entered the stage of small-batch commercial production and practical application exploration. , Power battery technology is the key to the development of electric vehicles. The maturity of power battery technology, the reduction of cost and the improvement of safety performance are the decisive links for the large-scale promotion and application of electric vehicles. The life test specifications and life prediction of power batteries are the driving force. An important part of battery technology. [00...

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): G01R31/367G01R31/392G06F30/27
CPCG01R31/367G01R31/392G06F30/27G06F2119/04
Inventor 史永胜欧阳洪元涛施梦琢张耀忠刘聪
Owner SHAANXI UNIV OF SCI & TECH