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Off-line lithium battery remaining capacity estimation method

A technology of remaining power and lithium batteries, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problems of kernel function uncertainty and may not be able to obtain the best results, etc.

Inactive Publication Date: 2019-11-26
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0023] (1) Different kernel functions have different characteristics. At present, there is no clear regulation on how to choose a kernel function in academia. Therefore, the kernel function selected based on experience has great uncertainty and may not be able to obtain the best results.

Method used

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  • Off-line lithium battery remaining capacity estimation method
  • Off-line lithium battery remaining capacity estimation method
  • Off-line lithium battery remaining capacity estimation method

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Embodiment Construction

[0076] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0077] refer to figure 1 , the present invention provides a method for estimating the remaining power of an off-line lithium battery, comprising the following steps:

[0078] The first step is lithium battery data collection.

[0079] Extract the battery status monitoring parameters of each charging and discharging cycle when the lithium battery is working in the offline state in seconds, and obtain and calculate the remaining power of each charging and discharging cycle as the real value of the remaining power corresponding to each group of battery status monitoring parameters. The battery status monitoring parameters and the corresponding real value of the remaining power constitute the lithium battery data set.

[0080] The battery status monitoring parameters include constant current charging time, constant voltage charging time...

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Abstract

The invention belongs to the field of life prediction, and particularly relates to an off-line lithium battery remaining capacity estimation method. The method comprises the steps of collecting lithium battery state monitoring parameters, and constructing a training set, a verification set and a test set; constructing a heterogeneous kernel function, solving heterogeneous kernel coefficients and hyper-parameters of the heterogeneous kernel function, and training a lithium battery remaining capacity estimation model; verifying the precision of the lithium battery remaining capacity estimation model obtained by training through error analysis; inputting the acquired battery state monitoring parameters of the lithium battery to be measured in each charging and discharging cycle during workinginto the lithium battery remaining capacity estimation model obtained by training so as to estimate the remaining capacity. According to the method, the problem that it is difficult to accurately estimate the remaining capacity in an off-line state is well solved, and a better scheme is provided for the research on the aspects of on-line remaining capacity estimation, service life estimation andanomaly detection of lithium battery products.

Description

technical field [0001] The invention belongs to the field of product life estimation, and in particular relates to a method for estimating the remaining battery power through lithium battery state monitoring parameters. Background technique [0002] Product life estimation refers to the time estimation for a certain product equipment from now until it is completely unusable or unable to complete its specified functions. By estimating the life of the product, the equipment can be repaired and maintained in a timely and necessary manner, the service life of the product can be improved and the occurrence of major safety accidents can be avoided. The remaining power of lithium batteries degrades continuously during use, which is also a key intermediate parameter for calculating general health indicators (SOC, SOH). Therefore, in the field of lithium battery remaining life prediction, the remaining power of lithium battery can also be used to evaluate the battery degradation sta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/382G06N3/12
CPCG06N3/126G01R31/382
Inventor 程志君罗玉文彭诚郭波姚航肖北
Owner NAT UNIV OF DEFENSE TECH
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