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

Degradation trend prediction method of valve-regulated lead-acid storage battery based on Gaussian process regression

A technology of Gaussian process regression and lead-acid battery, applied in fuel cells, electrochemical generators, circuits, etc. The failure of acid battery packs and other problems can be achieved to improve safety and reliability

Active Publication Date: 2020-05-12
YUXI POWER SUPPLY BUREAU OF YUNNAN POWER GRID
View PDF17 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the disadvantage of valve-regulated lead-acid batteries is that they have high requirements for operation and maintenance and the operating environment. If the environment is harsh and the operation and maintenance are not timely and in place, valve-regulat

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
  • Degradation trend prediction method of valve-regulated lead-acid storage battery based on Gaussian process regression
  • Degradation trend prediction method of valve-regulated lead-acid storage battery based on Gaussian process regression
  • Degradation trend prediction method of valve-regulated lead-acid storage battery based on Gaussian process regression

Examples

Experimental program
Comparison scheme
Effect test
No Example Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a degradation trend prediction method of a valve-regulated lead-acid storage battery based on Gaussian process regression, and belongs to the technical field of artificial intelligence of lead-acid storage battery life prediction. According to the method, the operation characteristics of equalized charging and floating charging of the transformer substation storage batteryand the influence of equalized charging and floating charging on degradation of the storage battery are considered, and the GPR is adopted to predict the degradation trend of the storage battery. According to the method, accurate prediction of the voltage and the internal resistance of the storage battery of the transformer substation direct-current system is achieved, then the degradation trendof the storage battery is known, the method can be used for guiding operation and maintenance work of the valve-regulated lead-acid storage battery in a power grid transformer substation, and the method is undoubtedly of great significance in improving the safety and the reliability of the transformer substation.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence for life prediction of lead-acid batteries, and in particular relates to a method for predicting the degradation trend of valve-controlled lead-acid batteries based on Gaussian process regression. Background technique [0002] Automation, intelligence and unmanned duty of power grid substations are the main trends in the development of power grids. Due to the increasing automation and intelligence of substations and the promotion of unmanned duty, the role of DC power supplies in substations is becoming more and more important. In the substation, the valve-regulated lead-acid battery pack of the DC system is connected in parallel with the charger to jointly undertake important DC load power supply tasks such as relay protection, automatic devices, automation equipment, and circuit breaker tripping and closing mechanisms. When the AC power is lost, The charger cannot output DC, and...

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): G06F30/20H01M8/04992G06F111/10
CPCH01M8/04992Y02E60/50
Inventor 李瑞津刘斌邓云书毕小熊党军朋李涛张学敏刘祺郭伟王斌胡云施迎春岳斌赵华叶文华陈运忠潘再金
Owner YUXI POWER SUPPLY BUREAU OF YUNNAN POWER GRID
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