Battery set, automatic capacity calibration learning method for battery set and automatic capacity calibration learning system

An automatic calibration, battery pack technology, applied in battery circuit devices, electric vehicles, measurement of electrical variables, etc., can solve problems such as increasing the discharge current resting time, battery calibration accuracy, etc., to improve utilization and benefit costs control effect

Active Publication Date: 2016-07-27
ZTE CORP
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If you have to increase the discharge current and shorten the rest time after discharge in order to save time, this will inevitably cause problems with the accuracy of battery calibration.

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
  • Battery set, automatic capacity calibration learning method for battery set and automatic capacity calibration learning system
  • Battery set, automatic capacity calibration learning method for battery set and automatic capacity calibration learning system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] This embodiment 1 provides a new battery pack and battery pack system for the problem that the battery pack capacity automatic calibration learning must stop the system business, please refer to figure 1 , the battery pack includes multiple parallel branches and ORING units, where:

[0043] Each parallel branch of the plurality of parallel branches includes:

[0044] A backup battery unit BBU, the input end of which is connected to the power input end of the battery pack;

[0045] A boost and current share unit, the input of which is connected to the output of the BBU in the same parallel branch;

[0046] The input end of the ORING unit is connected to the output ends of the boosting and current sharing units in the plurality of parallel branches, and the output end is used as the power output end of the battery pack.

[0047] The number of BBUs included in a battery pack can be selected and adapted according to the system's requirements for power and output current. ...

Embodiment 2

[0061] This embodiment provides a method for automatically calibrating and learning the capacity of a battery pack, which can be applied to the battery pack system in Embodiment 1, wherein the battery pack includes a plurality of backup battery units BBU, which together provide backup power for the system, such as figure 2 As shown, the method includes:

[0062] Step 110, performing automatic capacity calibration learning on the multiple BBUs in sequence, and each time automatic capacity calibration learning is performed on one BBU, other BBUs continue to provide backup power for the system;

[0063] In this embodiment, preferably, before each BBU is automatically calibrated to learn the capacity, the working status of all BBUs is detected, such as the battery pack composed of other BBUs except this BBU can meet the system’s requirements for backup power such as Meet the requirements for capacity and current, and then conduct capacity automatic calibration learning for the BB...

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 relates to a battery set, an automatic capacity calibration learning method for the battery set and an automatic capacity calibration learning system. The battery set comprises multiple battery backup units (BBU), and the multiple BBUs commonly provide backup power source for the system. The method comprises steps that automatic capacity calibration learning for the multiple BBUs is sequentially carried out, other BBUs continuously provide backup power source for the system when automatic capacity calibration learning for one BBU is carried out; after automatic capacity calibration learning for each BBU is carried out, automatic capacity calibration learning for the battery set for one time is accomplished. Through the method, the system business is not stopped when automatic capacity calibration learning for the battery set is carried out.

Description

technical field [0001] The present invention relates to a battery pack, and more particularly, to a battery pack, a battery pack capacity automatic calibration learning method and system. Background technique [0002] The battery backup unit (BBU) plays an important role in the data power failure protection function of the disk array. When the system power supply of the entire array suddenly loses power, in order to prevent the data in the memory from being flashed into the hard disk from being lost, the BBU must be used Or a battery pack composed of several BBUs supplies power to the system, and adopts corresponding methods to protect memory data. Due to the unpredictable nature of power failure, it is necessary to continuously ensure that the battery pack (basically lithium iron phosphate battery for high-current discharge) is in The state of higher capacity ensures that the battery can supply power to the system to complete the power-down data protection when a sudden pow...

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): H02J7/00H01M10/42
CPCG01R31/36
Inventor 段小翔戴庆军陈业嘉王玉东
Owner ZTE CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products