Method for degradation modeling and life prediction of lithium battery with self-healing effect

A life prediction, lithium battery technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc.

Inactive Publication Date: 2017-01-25
CAPITAL NORMAL UNIVERSITY
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Problems solved by technology

However, the existing methods cannot well cover these practical issues, which are the key technical issues to realize the prediction and management of the health status of electric vehicles.
In summary, automotive lithium batteries have new features that are different from traditional problems: time-varying ambient temperature, random variable current, self-healing characteristics, etc. These characteristics make existing remaining life prediction theories and methods unsuitable for automotive lithium batteries. then apply

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  • Method for degradation modeling and life prediction of lithium battery with self-healing effect
  • Method for degradation modeling and life prediction of lithium battery with self-healing effect
  • Method for degradation modeling and life prediction of lithium battery with self-healing effect

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Embodiment Construction

[0027] A lithium battery degradation modeling and life prediction method considering self-healing effects, comprising the following steps:

[0028] 1) Mathematical description of self-healing phenomenon and its influence on lithium battery degradation: the working principle of lithium battery refers to its charge and discharge principle. When the battery is charged, lithium ions are generated on the positive electrode of the battery, and move through the electrolyte to the micropores of the carbon layer of the negative electrode. The more lithium ions embedded, the higher the charging capacity; when the battery is discharged, the lithium ions embedded in the carbon layer of the negative electrode come out and return to the positive electrode, and the more lithium ions return to the positive electrode, the higher the discharge capacity; when the battery When the discharge is stopped, the concentration of ions tends to be balanced due to diffusion, the voltage can rise, and the b...

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Abstract

The invention discloses a method for degradation modeling and life prediction of a lithium battery with a self-healing effect. The method comprises the following steps: 1) mathematically describing self-healing phenomenon and degradation influence on the lithium battery; 2) considering the degradation modeling for the automobile lithium battery with a self-healing feature; 3) estimating the parameters of a degradation model; 4) updating the degradation model and predicting the remained life. According to the method provided by the invention, the performance degradation rule of the automobile lithium battery is modeled and the remained life is predicted, so that the predictable maintenance of the lithium battery can be realized and the safety of an electric automobile can be promoted.

Description

technical field [0001] The invention relates to a lithium battery degradation modeling and life prediction method considering the influence of self-healing. Background technique [0002] The global energy and environmental systems are facing enormous challenges, and electric vehicles have become a research hotspot around the world due to their green advantages. "Made in China 2025" put forward "energy-saving and new energy vehicles" as the key development field in the future, and clarified the development strategy of "continuing to support electric vehicles". The key currently restricting the development of electric vehicles is the power battery (accounting for up to 30% of the cost). Lithium battery has become an ideal choice for electric vehicle power battery due to its unique advantages such as excellent performance, small size, light weight and low environmental pollution. However, the safety and reliability of lithium batteries are still the bottleneck of the developm...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
CPCG01R31/392
Inventor 吴立锋彭珍关永张然姚贝贝
Owner CAPITAL NORMAL UNIVERSITY
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