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

A self-correcting SOC estimation method for mining lithium batteries

A lithium battery, self-correcting technology, applied in the direction of measuring electricity, measuring electrical variables, instruments, etc., can solve the problems of consumption, affecting the actual capacity of the battery, and the degradation of battery capacity, so as to increase the accuracy, enhance the achievability, The effect of enhancing stability and security

Active Publication Date: 2021-06-01
ZAOZHUANG UNIV
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

One charge and discharge is counted as one cycle or one cycle. With the increase of charge and discharge times, the chemical reactions inside the lithium-ion battery will lead to the consumption of battery polarity, electrolyte and diaphragm, etc., resulting in changes such as increased internal resistance of the battery. As a result, the battery capacity is irreversibly attenuated and degraded, which affects the actual capacity of the battery.

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 self-correcting SOC estimation method for mining lithium batteries
  • A self-correcting SOC estimation method for mining lithium batteries
  • A self-correcting SOC estimation method for mining lithium batteries

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below.

[0037] A self-correcting SOC estimation method for mining lithium batteries, the specific steps are:

[0038] A. Draw the corresponding SOC-OCV curve according to the factory test data of the lithium battery. The factory test data is to test the corresponding open circuit voltage value and the corresponding ohmic internal resistance value under different charge states;

[0039] B. Pre-set the equivalent circuit model of the lithium battery for mine use, and then perform preliminary parameter identification on the set equivalent circuit model based on the obtained SOC-OCV curve and ohmic internal resistance value. The equivalent circuit model is known An improved second-order RC loop with a modified power coefficient, and adjust each parameter of the equivalent circuit model according to the RLS method programmed by matlab;

[0040] C. Real-time detection of the terminal voltage value and discharge current value o...

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 self-correction SOC estimation method for lithium batteries used in mines, which performs self-correction on the lithium battery SOC prediction according to the daily charge and discharge conditions of the lithium battery, and the self-correction of the system is based on the different charging and discharging states of the battery pack itself , by correcting the battery pack model, and at the same time due to the randomness of particle generation, the realizability of the SOC estimation result is enhanced; due to the versatility of the battery model, the recursive least squares identification method for the battery model makes the accuracy of the model continuously Improve and will not cause model inaccuracy due to excessive discharge current changes. The SOC estimated by particle filter increases the accuracy of SOC estimation in the case of non-Gaussian noise; it can solve the inaccurate estimation phenomenon of SOC prediction differences due to different individual characteristics of different batteries, reduce the change with the charge and discharge state, and finally be effective Enhance the stability and safety of mining lithium batteries.

Description

technical field [0001] The invention relates to a lithium battery SOC estimation method, in particular to a self-correcting SOC estimation method for mine lithium batteries. Background technique [0002] The battery is the power supply part of the equipment. The normal communication of various electronic equipment, testing equipment, and communication systems must be maintained by electricity. Whether it is possible to provide electricity in time for the equipment in daily life and maintain its safe and stable operation and Power selection and management are closely related. In recent years, with the continuous development of lithium battery technology, compared with other storage batteries, lithium batteries have the advantages of small size, light weight, high energy density, etc., and are favored by various manufacturers and coal mine users. With the continuous deepening of research on lithium-ion batteries, through continuous research on positive and negative electrode ...

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): G01R31/367G01R31/3842G01R31/387
CPCG01R31/367G01R31/3842G01R31/387
Inventor 孙正陈钱张晓光卢纪丽徐桂云李辉
Owner ZAOZHUANG UNIV