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Chaotic time sequence nonlinear combination prediction method of lithium ion battery RUL

A lithium-ion battery and combination prediction technology, which is applied in design optimization/simulation, calculation, computer-aided design, etc., can solve the problems of chaotic time series nonlinear combination prediction model and method of lithium-ion battery for vehicles that are not disclosed.

Pending Publication Date: 2021-06-01
NANCHANG NORMAL UNIV
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Problems solved by technology

[0008] From the technical solutions disclosed above, it can be seen that none of them conduct research on the performance of lithium-ion batteries from the nonlinear characteristics of lithium-ion batteries, nor disclose the chaotic time-series nonlinear combination prediction model and method

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  • Chaotic time sequence nonlinear combination prediction method of lithium ion battery RUL
  • Chaotic time sequence nonlinear combination prediction method of lithium ion battery RUL
  • Chaotic time sequence nonlinear combination prediction method of lithium ion battery RUL

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Embodiment Construction

[0103] The present invention will be described in further detail below in conjunction with embodiment. The systems or lithium battery systems or lithium ion battery systems or lithium ion battery power systems mentioned in the following descriptions have the same meaning, both of which mean lithium ion battery power systems, as well as hidden layers or hidden layers, such as Elman regression The neural network model and the NARX neural network model or the Elman regression neural network and the NARX neural network have the same meaning, and the Elman regression neural network model or the Elman neural network model have the same meaning, and the batteries are all expressed as lithium-ion batteries. The nonlinear combined forecasting model is the LS-SVM nonlinear combined forecasting model.

[0104] The invention discloses a chaotic time series nonlinear combination prediction method of lithium-ion battery RUL, which is based on the nonlinear characteristics of the lithium-ion...

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Abstract

The invention provides a chaos time sequence nonlinear combination prediction method of a lithium ion battery RUL for overcoming the defects in the prior art. According to nonlinear characteristics of the lithium ion battery system, chaos discrimination is carried out on the lithium ion battery system, and conversion calculation is carried out on charge and discharge voltage, current, temperature and time data obtained through direct measurement, so that multiple groups of indirect parameters such as isobaric discharge time, discharge power and battery impedance are obtained; calculating and selecting indirect parameters with high correlation with the actual capacity through a Spearman rank correlation coefficient to serve as a training and testing data set of the prediction model, and obtaining a final residual service life prediction value of the lithium ion battery; and the method has relatively high engineering application value and economic significance.

Description

Technical field: [0001] The invention relates to a method for predicting and calculating parameter data of a lithium ion battery or an automobile lithium ion battery, in particular to a method for predicting a chaotic time series nonlinear combination of RUL of a lithium ion battery. Background technique: [0002] Lithium-ion batteries, as the electric energy storage technology with the highest energy density, are widely used in mobile electronic devices, electric vehicles, energy storage devices and other fields. Higher requirements are put forward for many technical indicators such as energy density, capacity density, and power density of lithium-ion batteries. Emissions are the internal cause of haze weather, and vehicle emission pollution is one of the main causes of haze weather. [0003] Lithium-ion batteries have high advantages in terms of working voltage, energy density and safety performance, and have been widely used in mobile phones, aerospace fields and electri...

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Application Information

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IPC IPC(8): G06F30/27G06F119/04
CPCG06F30/27G06F2119/04
Inventor 徐东辉
Owner NANCHANG NORMAL UNIV
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