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Battery micro-fault diagnosis method based on battery pack consistency evolution

A fault diagnosis and consistency technology, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve problems such as unobvious consistency faults

Active Publication Date: 2021-09-14
HUBEI UNIV OF TECH
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Problems solved by technology

[0004]The purpose of this invention is to solve the existing technical problems, aiming at the problem that the long-term scale characteristics of battery consistency evolution and the consistency failure situation are not obvious, Then a battery micro-fault diagnosis method based on battery consistency evolution is proposed, which is characterized in that it specifically includes:

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  • Battery micro-fault diagnosis method based on battery pack consistency evolution
  • Battery micro-fault diagnosis method based on battery pack consistency evolution
  • Battery micro-fault diagnosis method based on battery pack consistency evolution

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Embodiment Construction

[0055] Below, the present invention will be further described in detail by taking the data of the faulty actual vehicle battery whose faulty label battery is the No. 12 battery as a sample.

[0056] A battery micro-fault diagnosis method based on battery pack consistency evolution, the steps are as follows:

[0057] Step 1: Filter the battery data of available charging segments

[0058] The charging segment whose charge capacity is 50% or more of the rated capacity is regarded as the available charging segment, that is, the charging segment data whose SOC recorded by the battery management system at the beginning of charging and the end of charging differs by 50% or more, and the filtering conditions are expressed as:

[0059] ΔSOC=(SOC charge，end -SOC charge，start )≥50 (13)

[0060] Among them, SOC charge，start and SOC charge，end They are the SOC of the battery pack at the start and end of the charging recorded by the BMS, and finally remove the unusable charging segment...

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Abstract

The invention discloses a battery micro-fault diagnosis method based on battery pack consistency evolution and belongs to the technical field of batteries. The method comprises steps of a plurality of historical charging section voltage data being used, a battery charging voltage curve (CCVC) transformation principle being utilized, battery pack consistency quantitative optimization calculation being carried out by using an adaptive inertia weight particle swarm algorithm, and the similarity matching degree (average Euclidean distance) of the battery charging voltage curve being used as a fitness value, and quantitative parameters representing the consistency condition of the battery pack are obtained; and then standardizing the consistency parameters to obtain a relative position Z-Score representing the relative position of the battery consistency in the battery pack, calculating the standard deviation of the relative position, and calculating the change score of the battery consistency; and carrying out battery micro-fault identification by using an abnormal value detection method based on a 3 sigma criterion, and finding out a fault battery with abnormal consistency evolution. The method is advantaged in that effectiveness of the fault diagnosis method is proved by using partial charging section data of a fault real vehicle battery data set to perform an experiment.

Description

technical field [0001] The invention belongs to the technical field of batteries, and in particular relates to a battery fault diagnosis method. Background technique [0002] Lithium-ion batteries have the advantages of high energy density, high specific energy, long cycle life, low self-discharge, and environmental protection. Due to these properties, they have become a popular rechargeable battery chemistry for a wide range of applications in portable electronics, electric vehicles, grid energy storage, and renewable energy. In order to meet the dynamic requirements of vehicle driving, hundreds of lithium-ion power batteries need to be assembled in series and parallel. Due to the aging process (SEI growth, lithium precipitation, active material loss, etc.) Various malfunctions can occur with accessories. Unchecked faults will adversely affect battery safety, and even lead to catastrophic accidents such as thermal runaway of the battery system and fire under certain extr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R31/396
CPCG01R31/367G01R31/396
Inventor 姜久春常春周霞平高洋王鹿军廖力田爱娜
Owner HUBEI UNIV OF TECH
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