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Method for diagnosing lithium battery faults by Petri net

A lithium battery and fault technology, applied in the field of lithium battery fault diagnosis, can solve problems such as affecting the balance state of the battery

Active Publication Date: 2017-01-25
SHANGHAI MARITIME UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, it is inaccurate to simply measure the battery voltage to give a fault diagnosis conclusion that the battery power is inconsistent. This will often cause the power balance system to balance the batteries that do not need to be balanced. The balance state of the cells in the battery pack

Method used

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  • Method for diagnosing lithium battery faults by Petri net
  • Method for diagnosing lithium battery faults by Petri net
  • Method for diagnosing lithium battery faults by Petri net

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Embodiment Construction

[0041] The fault diagnosis method in the present invention is to judge whether there is a fault that needs to be dealt with at this time by collecting information such as the voltage, current, and temperature of the lithium battery in real time. If a fault occurs, some processing measures will be taken, such as turning on the power balance circuit, increase the efficiency of the heat dissipation system or reduce the output / input power, and at the same time continue to monitor the state of the battery, observe and record the processing effect on the fault. When the fault level rises, the cause of the fault will be analyzed again, and further processing actions will be taken, such as prompting the staff about the fault. When the fault level reaches the highest level, the protection system will be activated to prevent further deterioration of the fault. And when the situation improves to normal, the processing measures taken before will be stopped, and at the same time, the fault...

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Abstract

The invention discloses a method for diagnosing lithium battery faults by the Petri net. For diagnosis of electric quantity nonuniformity of single lithium batteries, a Petri net system is adopted for constructing a fault diagnosis model, and fault information for analysis comes from external battery voltage, current, temperature and system operating time. According to the method for diagnosing the lithium battery faults, various factors are considered in fault diagnosis, and diagnosis operation is quick; high efficiency shows up in various complicated systems; the Petri net based fault diagnosis model is capable of quickly working out a fault position according to a corresponding incidence matrix and calling an associated judgment model for confirming fault occurrence, so that real-time monitoring of battery operating conditions can be well realized in an operation process of a battery pack system, and fault information can be processed timely.

Description

technical field [0001] The invention relates to lithium battery fault diagnosis, in particular to a method for diagnosing lithium battery faults using Petri nets. Background technique [0002] Lithium batteries have high energy density, high power density, and long cycle life, and are suitable for use as power batteries. At present, many occasions that require the application of power batteries are composed of multiple lithium batteries connected in series and parallel. However, lithium batteries have strict requirements on the working environment. In order to obtain the best working state of the battery, the battery management system needs to monitor its state in real time to ensure that the working voltage, current, temperature and consistency of the battery are kept within the normal range. Inside. If there is an abnormal signal, the battery management system should also have the ability to diagnose faults, and be able to identify and eliminate faults in a timely manner....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36H02H7/18
CPCG01R31/382G01R31/396H02H7/18
Inventor 兰熙高迪驹沈爱弟
Owner SHANGHAI MARITIME UNIVERSITY
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