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

A Remaining Life Prediction Method for Series Battery Packs Based on Weibull Distribution

A technology of series battery packs and Weibull distribution, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve problems such as difficulty, lower prediction accuracy, and increase in life prediction of series battery packs, so as to reduce complexity and improve prediction The effect of precision

Active Publication Date: 2020-06-09
JIANGSU UNIV
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, extensive and in-depth research has been carried out on the life prediction of single batteries at home and abroad and good results have been achieved. The influence of the influence makes it more difficult to predict the life of the series battery pack, and also reduces the prediction accuracy

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
  • A Remaining Life Prediction Method for Series Battery Packs Based on Weibull Distribution
  • A Remaining Life Prediction Method for Series Battery Packs Based on Weibull Distribution
  • A Remaining Life Prediction Method for Series Battery Packs Based on Weibull Distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] A method for predicting the remaining life of a series battery pack based on Weibull distribution will be further described below in conjunction with the accompanying drawings.

[0019] Such as figure 1 A method for predicting the remaining life of a series battery pack based on Weibull distribution, comprising steps:

[0020] S1. Obtain the failure data of the series battery pack through the durability test of the series battery pack, as follows:

[0021] Before carrying out the durability test of the series battery pack, screen the monomers that make up the series battery pack. The principle is that the monomers should choose the same batch of batteries of the same type, and the life of the monomers has a common distribution rule. The monomers that make up the series battery pack The difference between the capacities is ≤5%; the capacity test of the series battery pack is carried out under standard conditions, and the average value of the three test values ​​is taken...

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 series battery residual life prediction method based on Weibull Distribution, and belongs to the power battery technical field. The series power battery residual life prediction method comprises the following steps: 1, obtaining series power set failure data via a series battery endurance test; 2, allowing series battery module failure data to comply with selected WeibullDistribution according to series power battery features; 3, using the series power battery failure data obtained in step 1 to estimate Weibull model parameters; 4, using a series power battery residual life distribution function under certain cycle frequency t and stress level discharging depth DOD to predict the series power battery residual life. There are problems that an existing series powerbattery life prediction method needs to consider the influences on the series battery module life by inconsistent monomers in the series battery; the method can solve said problems, thus greatly improving the series power battery residual life prediction precision.

Description

technical field [0001] The invention belongs to the technical field of power batteries, and in particular relates to a method for predicting the remaining life of a series battery pack based on Weibull distribution. Background technique [0002] As the power source and energy carrier of new energy vehicles, the power battery is a key component. However, the backwardness of power battery-related technologies seriously restricts the development of electric vehicles, mainly manifested in: poor battery life, short service life, and unstable safety. The remaining life prediction of the battery is an extremely active research field in the lithium-ion battery management system, and the quality of its evaluation method determines the overall performance of the battery management system to a large extent. By predicting the remaining life of the battery, we can understand the life stage of the battery and whether there are potential safety hazards, and can effectively prevent the occ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/367G01R31/392G01R31/396
CPCG01R31/367G01R31/392
Inventor 赵钱江浩斌陈彪栗欢欢
Owner JIANGSU UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com