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

Method for rapidly recognizing life decline characteristic of power battery system

A system life, power battery technology, applied in the direction of measuring electricity, measuring electrical variables, testing electrical devices in transportation, etc., can solve problems such as difficulty in estimating battery capacity online, large dispersion of results, and limited reference and guidance value.

Active Publication Date: 2017-02-22
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF3 Cites 43 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing power battery life evaluation method is difficult to estimate the battery capacity online, and the time and material costs of the life test of the power battery system are huge, the results are scattered, and the reference and guidance value is limited. How to obtain the life characteristics of the power battery online Become the key to realize the refined design of electric vehicle system and the optimization of cost control indicators

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 rapidly recognizing life decline characteristic of power battery system
  • Method for rapidly recognizing life decline characteristic of power battery system
  • Method for rapidly recognizing life decline characteristic of power battery system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The present invention provides a method for quickly identifying the characteristics of life decline of a power battery system, as shown in the attached figure 1 Specifically, the following steps are shown:

[0053] 1). Establish battery capacity retention and polarization internal resistance R SEI growth rate relationship. Among them, the capacity retention rate refers to the ratio of the remaining capacity of the battery to the initial capacity in a certain aging state, and the growth rate of the polarization internal resistance refers to the ratio of the polarization internal resistance to its initial value in a certain aging state;

[0054] 2). Carry out real vehicle data collection, conduct online parameter identification on the collected data, and obtain the battery polarization internal resistance value;

[0055] 3). Through the capacity retention rate and polarization internal resistance R established in step 1) SEI The relationship of the growth rate predicts...

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 rapidly recognizing a life decline characteristic of a power battery system. Based on a pre-established relationship between a polarized internal resistance increase rate and a capacity retention rate, voltage and current data for parameter recognition are acquired under an actual operating condition of an electric car, on-line parameter recognition is performed by a vehicle-mounted computer, and the actual capacity of a battery can be obtained on line without full charge, full discharge or other operations on the battery; the polarized internal resistance increase rate and the capacity retention rate are used as an input and an output, so that influence of inconsistency of the internal resistance and the capacity between batteries on capacity prediction is avoided. The recognized model internal resistance parameters can be not only applied to capacity estimation, but also applied to SOC estimation and the like.

Description

technical field [0001] The invention relates to the field of batteries, in particular to the technology of health management and fault detection of vehicle-mounted power battery systems. Background technique [0002] Lithium-ion power batteries have performance degradation problems during the use of electric vehicles, mainly including capacity loss, increased internal resistance, faster temperature rise, and obvious self-discharge phenomena, which seriously affect the performance and safety of the vehicle. The sign of the end of life of lithium-ion batteries for electric vehicles is that their capacity declines to 80% of the initial capacity, so the online estimation of their available capacity has become a key issue in the research of lithium-ion battery life. The identification of battery life degradation features is not only important in predicting the remaining battery life, but also has a significant impact on the safety of electric vehicles. During the decline of lith...

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 Applications(China)
IPC IPC(8): G01R31/36G01R31/00
CPCG01R31/007G01R31/3646G01R31/367G01R31/392
Inventor 熊瑞田金鹏于全庆李治润
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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