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A lithium battery state of charge estimation method considering capacity degradation

A state-of-charge, lithium-ion battery technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problem of less research on battery state-of-charge estimation, and achieve the effect of accurate state-of-charge estimation

Active Publication Date: 2022-06-03
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the estimation results of data-driven methods perform well in considering dynamic discharge current or dynamic ambient temperature, there are few studies on battery state of charge estimation considering capacity degradation.

Method used

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  • A lithium battery state of charge estimation method considering capacity degradation
  • A lithium battery state of charge estimation method considering capacity degradation
  • A lithium battery state of charge estimation method considering capacity degradation

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Experimental program
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Embodiment Construction

[0015] The present invention will be further described below with reference to the accompanying drawings and specific implementation methods.

[0016] like figure 1 As shown, a method for estimating the state of charge of a lithium battery considering capacity degradation includes the following steps:

[0017] S1. Obtain a lithium battery experimental data set, which includes the rated capacity of the lithium battery and the voltage, current and time data during the experiment. In this embodiment, five standard charge-discharge cycle experimental data of lithium batteries with rated capacities of 1.1Ah, numbered CS2_33, CS2_34, CS2_35, CS2_36, and CS2_37, provided by the CALCE Center of the University of Maryland are used as the data source, among which CS2_33, CS2_34, The experimental data of CS2_35 and CS2_36 batteries are used as the experimental data set of lithium batteries, and the CS2_37 battery is used as the battery to be estimated in the state of charge. In this ex...

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Abstract

The invention discloses a method for estimating the state of charge of a lithium battery considering capacity degradation. Firstly, the experimental data set of the lithium battery is obtained, and the data of the state of charge and the state of health of the battery are calculated to obtain a complete data set; A mixed neural network with one output terminal, one or more recurrent network layers, and one or more fully connected layers; the established mixed neural network is used to estimate the state of charge of the battery to be estimated after being trained with a complete data set. The invention is applicable to the state of charge estimation of lithium batteries under different health states considering capacity degradation, has high estimation precision and has high practical application value.

Description

[0001] Technical field [0002] The invention relates to lithium battery technology and the technical field of artificial neural networks, and provides a method for estimating the state of charge of a lithium battery, in particular to a method for estimating the state of charge of a lithium battery considering capacity degradation. Background technique [0003] Accurate estimation of the state of charge of lithium batteries is very important for the lithium battery management system, it can help the battery management system to predict the remaining mileage and avoid overcharging or overdischarging of the battery, so as to ensure the safety and reliability of the lithium battery . However, it is still very challenging to accurately estimate the state of charge of lithium batteries when the capacity degrades. [0004] Commonly used lithium battery state of charge estimation methods mainly include ampere-hour integration method, open circuit voltage method, model-based method a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/387G01R31/3842G01R31/392G01R31/367
CPCG01R31/387G01R31/3842G01R31/392G01R31/367Y02E60/10
Inventor 钱诚徐炳辉任羿孙博王自力
Owner BEIHANG UNIV
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