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

Fuzzy probability comprehensive judgment-based battery state-of-health estimation method

A battery health status and fuzzy probability technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of incomplete analysis of factors affecting battery health status, failure to guarantee the health status of single batteries, and attenuation of battery pack life , to achieve the effect of clear thinking, convenient implementation and reduced life attenuation rate

Inactive Publication Date: 2018-12-21
HARBIN UNIV OF SCI & TECH
View PDF3 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most of the current traditional health assessment technologies only test static parameters such as the capacity, voltage, and internal resistance of the single battery. Although this method is time-consuming and efficient, it can quickly complete the health assessment, but these static Parameters will change with the increase of battery usage time. At the same time, the analysis of the factors affecting the battery health status is not comprehensive. attenuation

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
  • Fuzzy probability comprehensive judgment-based battery state-of-health estimation method
  • Fuzzy probability comprehensive judgment-based battery state-of-health estimation method
  • Fuzzy probability comprehensive judgment-based battery state-of-health estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] figure 1 shows a schematic diagram of the overall process according to an embodiment of the present invention, such as figure 1 As shown, the battery health state evaluation method based on fuzzy probability comprehensive evaluation in this embodiment specifically includes the following steps:

[0051] Step 1. Conduct charge and discharge tests on 8 battery cells to obtain evaluation data. The evaluation data can be obtained through battery charge and discharge tests alone, or directly use the factory test data of the battery manufacturer, or use the data obtained during the operation of the battery pack. ; The voltage values ​​under different SOCs of the battery are normalized and used as the evaluation object of the voltage health status of each cell; the voltage values ​​​​of the 8 battery cells under different SOCs of the present embodiment are shown in Table 1;

[0052] Table 1 Single voltage value

[0053]

[0054] Step 2. Construct factor set U={u 1 ,u 2 ,...

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

A fuzzy probability comprehensive judgment-based battery state-of-health estimation method belongs to the technical field of lithium iron phosphate battery estimation and aims to solve the problems that the state-of-health of a single battery cannot be ensured by a traditional health estimation technology to cause that the lifetime of a battery pack is remarkably reduced. The fuzzy probability comprehensive judgment-based battery state-of-health estimation method comprises the steps of obtaining estimation data by charge-discharge experiment on a battery to be estimated; obtaining a relation between a state-of-charge (SOC) value and a voltage during the charge-discharge process of the battery; performing normalization on voltage values of the battery under different SOCs, and then taking the voltage values as a state-of-health judgment object of each single battery; calculating an index weight forming an evaluation index coefficient, and determining the state-of-health of each single battery according to a maximum probability principle; and determining the state-of-health of the lithium iron phosphate battery pack by fuzzy comprehensive judgment according to a maximum membership principle. By health estimation on the grouped battery pack, the initialization performance of the battery pack can be greatly improved.

Description

technical field [0001] The battery health assessment method described in this application belongs to the field of lithium iron phosphate battery assessment. In particular, it relates to a battery health state evaluation method based on fuzzy probability comprehensive evaluation. Background technique [0002] Lithium iron phosphate batteries have the characteristics of good safety, environmental protection and long cycle life. Under standard charging and discharging conditions, the cycle life of lithium iron phosphate batteries is as high as 2,000 times, which is more than three times the life of other commonly used lithium-ion batteries. From the perspective of environmental protection, the lithium iron phosphate battery does not contain any precious metals or other metals that are harmful to the environment. In addition, the lithium iron phosphate battery has no memory effect and can be recharged whenever it is used without discharging and recharging. However, from a pro...

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
CPCG01R31/3648
Inventor 赵辉姜欣格周永勤
Owner HARBIN UNIV OF SCI & 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