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Quantitative diagnosis method for short circuit in battery based on electric quantity increase in charging voltage interval

A technology of charging voltage and diagnosis method, which is applied in the direction of short-circuit test, measurement of electrical variables, measurement of electricity, etc., and can solve problems such as inability to warn in time

Pending Publication Date: 2022-06-24
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Since the early internal short circuit has almost no obvious electrical and thermal characteristics for identification, the current internal short circuit diagnosis method mainly focuses on a short period of time before a serious internal short circuit or thermal runaway occurs in the battery, and cannot give early warning in time

Method used

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  • Quantitative diagnosis method for short circuit in battery based on electric quantity increase in charging voltage interval
  • Quantitative diagnosis method for short circuit in battery based on electric quantity increase in charging voltage interval
  • Quantitative diagnosis method for short circuit in battery based on electric quantity increase in charging voltage interval

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Embodiment

[0053] like figure 1 As shown, this embodiment provides a method for diagnosing a short circuit in a battery based on a power growth factor in a charging voltage interval, the method comprising:

[0054] S1. Use the offline experiment method to calibrate the optimal charging voltage range of the battery of the type to be diagnosed;

[0055] S2. Obtain the power growth coefficient in the optimal charging voltage range of the battery to be diagnosed online, and determine the charging cycle in which the internal short circuit occurs according to the power growth coefficient;

[0056] S3. Calculate the short-circuit resistance of the internal short-circuit of the battery.

[0057] Wherein, step S1 includes:

[0058]S11. Obtain the voltage and current data of each charging cycle of the battery offline, and simulate an internal short circuit in the nth charging cycle;

[0059] S12, using the intelligent optimization algorithm to identify the model parameters and determine the opt...

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Abstract

The invention relates to a battery internal short circuit quantitative diagnosis method based on electric quantity increase in a charging voltage interval. The method comprises the following steps: S1, calibrating an optimal charging voltage interval of a battery of a to-be-diagnosed model by adopting an off-line experimental method; s2, acquiring an electric quantity increase coefficient of the to-be-diagnosed battery in the optimal charging voltage interval on line, and determining a charging cycle in which an internal short circuit occurs according to the electric quantity increase coefficient; and S3, calculating the short-circuit resistance value of the internal short circuit of the battery. Compared with the prior art, online real-time quantitative diagnosis can be achieved, and the method has the advantages of being easy and convenient to implement, accurate, efficient and the like.

Description

technical field [0001] The invention relates to the technical field of energy storage batteries, in particular to a method for quantitatively diagnosing short-circuits in batteries based on the increase in power in a charging voltage range. Background technique [0002] With the increase in the number of new energy vehicles, the safety of new energy vehicles has received increasing attention. Thermal runaway of power batteries is one of the main causes of fires in new energy vehicles. It is highly hazardous, has many triggering causes, and has complex influencing factors. It seriously threatens the safety of consumers' lives and property, and restricts the development of the new energy vehicle industry. The internal short circuit of the power battery is one of the main causes of thermal runaway of the battery. In order to improve the safety of new energy vehicles, the development of advanced power battery internal short circuit diagnosis technology is essential. [0003] Si...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/389G01R31/3842G01R31/52
CPCG01R31/389G01R31/3842G01R31/52
Inventor 戴海峰范文君乔冬冬
Owner TONGJI UNIV
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