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

SOH estimation method for vehicle lithium-ion power battery

A power battery, lithium-ion technology, applied in the field of new energy vehicle battery management system, can solve problems such as a large number of reference data and a large impact of estimation errors

Active Publication Date: 2016-06-15
CHINA FIRST AUTOMOBILE
View PDF8 Cites 53 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The neural network method is suitable for all kinds of batteries. The disadvantage is that a large amount of reference data is required for training, and the estimation error is greatly affected by the training data and training method.

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
  • SOH estimation method for vehicle lithium-ion power battery
  • SOH estimation method for vehicle lithium-ion power battery
  • SOH estimation method for vehicle lithium-ion power battery

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be further described below in conjunction with embodiment.

[0029] Such as figure 1 As shown, using the method of the present invention to build an SOH estimation model for a certain automobile manufacturer's HEV vehicle power battery, the estimation process is as follows:

[0030] Step 1. Calculating weight factors a and b;

[0031] 1) The battery is subjected to an aging test at 45°C and a 3C rate. From BOL (the initial moment of the power battery) to EOL (the end of the design life of the power battery), the capacity test and the HPPC power test are performed on the battery every 200 cycles ;

[0032] 2) Calculate the power battery capacity attenuation change rate according to the test results, and obtain the battery capacity based on time differential

[0033] 3) Calculate the change rate of the internal resistance of the power battery according to the test results, and obtain the internal resistance of the battery based on the time ...

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 present invention belongs to the field of electric vehicle power battery management systems, and especially relates to an SOH estimation method for a power lithium-ion battery management system. According to the technical scheme of the invention, the method is provided for multiple problems in the current SOH estimation method. Based on the method, the internal resistance enhancing factor of a power lithium-ion battery is estimated through dynamically calculating the DCR of the power battery. Meanwhile, the capacity attenuation factor of the power lithium-ion battery is estimated through dynamically calculating the throughput capacity of the power battery. On the above basis, the internal resistance enhancing factor and the capacity attenuation factor are comprehensively applied to establish the SOH estimation method.

Description

technical field [0001] The invention belongs to the field of new energy vehicle battery management systems, and in particular relates to a method for estimating the state of health (SOH) of a power lithium-ion battery for vehicles. Background technique [0002] As the energy storage unit of electric vehicles, power batteries directly affect the fuel economy and power performance of vehicles. Because the actual operating environment of electric vehicles is very complex and varied, an effective battery management system is necessary to ensure that the power battery pack can work efficiently, reliably and safely. Especially for lithium-ion batteries with strong activity (poor safety), the significance and necessity of the battery management system are even more prominent. The high cost of electric vehicles has made it difficult to promote them. An important reason for this is that the cost of power lithium batteries cannot be reduced. If the service life of the lithium batter...

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): G01R31/36
CPCG01R31/387
Inventor 柳志民刘东秦许立超王贺敏于春洋
Owner CHINA FIRST AUTOMOBILE
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