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Method for predicting remaining life of lithium battery

A technology of life prediction and lithium battery, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of difficult accurate prediction, unstable battery power decay sequence, etc., and achieve poor accuracy, difficult prediction, and accurate prediction Effect

Inactive Publication Date: 2018-07-20
WUHAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Battery regeneration makes the battery decay sequence extremely unstable, so neither of the above methods can consistently predict accurately

Method used

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  • Method for predicting remaining life of lithium battery
  • Method for predicting remaining life of lithium battery
  • Method for predicting remaining life of lithium battery

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Embodiment Construction

[0020] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0021] Empirical mode decomposition can decompose the battery power sequence into several micro-sequences with different frequencies and a monotonic sequence. The former is the intrinsic mode function and the latter is the residual function. Miniature series represent the phenomenon of battery charge regeneration, while monotonic series represent the decay trend of battery charge. After decomposition, ARIMA is used to predict each sequence separately, which not only considers the battery power regeneration phenomenon, but also refers to the battery decay tren...

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Abstract

The invention discloses a method for predicting the remaining life of a lithium battery. The method comprises two stages; at the first stage being a decomposition stage, a complicated state-of-health(SOH) sequence is decomposed into a limited number of intrinsic mode functions (IMF) and a residual function by using an EMD; and at the second stage being a prediction stage, all functions after decomposition are predicted by using an auto-regressive integral moving average model (ARIMA) and then all prediction values are added to obtain an overall SOH prediction value, so that the remaining lifeof the battery is obtained. With full consideration of the local fluctuation portion of the battery SOH sequence, prediction becomes real and effective.

Description

technical field [0001] The invention belongs to the technical field of batteries, and relates to a method for predicting the remaining life of a battery, in particular to a method for predicting the remaining life of a lithium battery that combines empirical mode decomposition and an autoregressive integral sliding average model. Background technique [0002] Electric vehicles are the inevitable trend of future automobile development. Due to the aging characteristics of power batteries, the continuously declining mileage and safety issues have always been the restrictive factors for the rapid popularization of electric vehicles on a large scale. Battery aging not only reduces the capacity of the battery, but also greatly reduces the maximum instantaneous power output of the electric vehicle, which in turn causes insufficient power for the vehicle, which poses a safety hazard when overtaking or going uphill. It is also one of the potential safety hazards of electric vehicles...

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Application Information

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IPC IPC(8): G01R31/36
CPCG01R31/392
Inventor 黄妙华周亚鹏
Owner WUHAN UNIV OF TECH
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