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Method for predicting residual service life of lithium ion battery on basis of DST and BMC technologies

A lithium-ion battery, life prediction technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve problems such as limiting practical applications

Inactive Publication Date: 2014-07-16
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

These problems limit the practical application of the above method

Method used

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  • Method for predicting residual service life of lithium ion battery on basis of DST and BMC technologies
  • Method for predicting residual service life of lithium ion battery on basis of DST and BMC technologies
  • Method for predicting residual service life of lithium ion battery on basis of DST and BMC technologies

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specific Embodiment approach 1

[0022] Specific implementation mode one: this implementation mode is combined figure 1 The technical solution of the present invention is described in detail.

[0023] The method for predicting the remaining service life of lithium-ion batteries based on DST and BMC technology includes the following steps:

[0024] Step 1, monitor various physical parameters of the lithium-ion battery, and obtain monitoring data;

[0025] The specific process of step 1 is as follows:

[0026] The monitoring process is to discharge several lithium-ion batteries of the same model and the same chemical composition that are newly shipped, and then fully charge them, repeat charging and discharging k times, record the capacity of each lithium-ion battery in the cycle, until the battery capacity drops to failure below the threshold. The single-cycle discharge capacity data and complete capacity degradation data of lithium-ion batteries recorded during this process are the monitoring data obtained...

specific Embodiment approach 2

[0077] Embodiment 2: This embodiment is a verification of the method for predicting the remaining service life of lithium-ion batteries based on DST and BMC technology in the present invention.

[0078] In this embodiment, a verification experiment is carried out using the experimental data of the Battery Data Set provided by NASA, and the experimental results are compared and analyzed. This data set was jointly completed by NASAAMES PCoE Research Center and the National Laboratory of the U.S. Department of Energy for more than a year, considering various working conditions of lithium-ion batteries, and jointly completed the experimental research on the remaining life of lithium-ion batteries, and provided relevant battery experiments. The data is used as a working data set to carry out research on lithium-ion battery health management technology.

[0079] This data set comes from the lithium-ion battery test bed built by NASA PCoE Research Center. The battery experiment (char...

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Abstract

The invention discloses a method for predicting the residual service life of a lithium ion battery on the basis of DST and BMC technologies. The method includes the following steps that 1, a capacity fading model is determined according to characteristics of battery capacity data; 2, usable battery data are processed through a Dempster-Shafer Theory (DST) to obtain initial values of model parameters; 3, when capacity data of a monitored battery are input, the model parameters are updated in real time through the Bayesian Monte Carlo (BMC) technology to trace fading trend of the battery capacity; 4, the predicted value of the residual service life of the battery is obtained from an extrapolation model to a failure threshold. The method has the advantages that the capacity for precisely predicting the residual service life is achieved in the early stage of the service life of the battery; a great quantity of training data are not needed; probability density distribution output of prediction results is achieved.

Description

technical field [0001] The invention discloses a method for predicting the remaining service life of a lithium-ion battery based on DST and BMC technologies, and relates to a method for predicting the remaining service life of a lithium-ion battery and the technical field of data-driven prediction. Background technique [0002] A lithium-ion battery is an energy storage device that converts chemical energy into electrical energy. Compared with other secondary batteries such as nickel-cadmium batteries and nickel-metal hydride batteries, it has high energy density, long service life, low battery leakage rate, fast charging with high current, high working voltage, wide working range, low cost and no pollution. and many other advantages. With these advantages, lithium-ion batteries have been widely used in various portable information processing terminals, electric vehicles, military, aerospace and other fields. The degradation tendency of lithium-ion batteries can be reflect...

Claims

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Application Information

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IPC IPC(8): G01R31/36
Inventor 陈则王李川江豆金昌王友仁崔江张骁阳
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS