Real-time prediction method of remaining lifetime of lithium ion battery

A lithium-ion battery, real-time prediction technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of life reliability affecting the effective service life of the vehicle and failure of vehicle system functions

Active Publication Date: 2017-08-18
BEIJING JIAOTONG UNIV +1
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Problems solved by technology

But at the same time, due to the performance degradation of the lithium-ion battery itself and the charging and discharging management of the lithium-ion battery, the life of the lithium-ion battery is termin

Method used

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  • Real-time prediction method of remaining lifetime of lithium ion battery
  • Real-time prediction method of remaining lifetime of lithium ion battery
  • Real-time prediction method of remaining lifetime of lithium ion battery

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Embodiment 1

[0092] Embodiment 1, real-time prediction of remaining service life of lithium-ion battery

[0093] 1. Establish a real-time prediction model for the remaining service life of lithium-ion batteries

[0094] In this embodiment, the ternary lithium-ion battery used for electric vehicles is used as the research object, according to figure 1 The method shown is to establish a real-time prediction model for the remaining service life of lithium-ion batteries, as follows:

[0095] 1. Design the lithium-ion battery life test under different decay stresses

[0096] In the actual use of lithium-ion batteries for electric vehicles, the working SOC range is not exactly the same. In order to study the decline of lithium-ion batteries after cycling in different SOC intervals, eight ternary lithium-ion batteries with a rated capacity of 35Ah in the same batch were selected, and the serial numbers were #1, #2, ... #8, and they were divided into into four groups, with two batteries in each...

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Abstract

The invention relates to a real-time prediction method of the remaining lifetime of a lithium ion battery. The method comprises a step of establishing a lithium ion battery capacity degradation model, a step of selecting prior distribution of suitable lithium ion battery capacity degradation model parameters, a step of selecting a likelihood function of the suitable lithium ion battery capacity degradation model parameters, a step of calculating the posterior distribution of the lithium ion battery capacity degradation model parameters based on the Bayesian theory, a step of calculating the prediction distribution of a lithium ion battery capacity, and a step of finally calculating and obtaining the remaining lifetime of a lithium ion battery to be predicted and confidence. The method has the advantages that the prediction of the remaining lifetime of the lithium ion battery has no path dependence, and the method can be used for estimating the remaining lifetime of a lithium ion battery in any degradation path and prediction confidence. The method has the advantages of high prediction accuracy and a fast operation speed, the fast estimation of the remaining lifetime of the lithium ion battery can be realized, and the safe and reliable operation of a vehicle is ensured.

Description

technical field [0001] The invention relates to a real-time prediction method for the remaining service life of a lithium ion battery. Background technique [0002] The use and promotion of electric vehicles has promoted energy conservation and emission reduction in the automotive industry, greatly easing the dual pressure on energy and the environment. Lithium-ion batteries have become the most widely used power source for electric vehicles due to their small size, high energy density, no environmental pollution, low self-discharge rate, no memory effect, and environmental protection. But at the same time, due to the performance degradation of the lithium-ion battery itself and the charging and discharging management of the lithium-ion battery, the life of the lithium-ion battery is terminated, which often leads to the failure of the overall function of the vehicle system. Therefore, the life reliability of the lithium-ion battery directly affects the entire vehicle. The u...

Claims

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Application Information

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IPC IPC(8): G01R31/36
Inventor 李雪飞郑方丹姜久春王成涛张婧妍王占国张言茹龚敏明
Owner BEIJING JIAOTONG UNIV
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