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A battery string multiple fault diagnosis method and system based on corrected sample entropy

A diagnostic method and sample entropy technology, applied in the direction of measuring electricity, measuring electrical variables, measuring current/voltage, etc., can solve problems such as high computational cost, poor robustness, and detection of early fault types and time

Active Publication Date: 2020-07-07
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the current entropy-based methods cannot accurately and quickly detect the type and time of early failures, and they have poor robustness and high computational costs.

Method used

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  • A battery string multiple fault diagnosis method and system based on corrected sample entropy
  • A battery string multiple fault diagnosis method and system based on corrected sample entropy
  • A battery string multiple fault diagnosis method and system based on corrected sample entropy

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Experimental program
Comparison scheme
Effect test

Embodiment 2

[0091] The present embodiment provides a battery string multi-fault diagnosis system based on corrected sample entropy, including:

[0092] A module for obtaining the measured battery voltage of the battery string to be diagnosed;

[0093] A module for constructing a battery voltage sequence according to the obtained battery voltage of the battery string to be diagnosed, and calculating a sample entropy value of the battery voltage sequence;

[0094] A module for setting the correction coefficient used to represent the voltage fluctuation information and correcting the sample entropy value through the correction coefficient to obtain the corrected sample entropy value;

[0095] A module for judging and outputting the fault type of the battery string to be diagnosed according to the numerical change of the corrected sample entropy value.

Embodiment 3

[0097] This embodiment provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and executed on the processor. When the computer instructions are executed by the processor, the steps described in the method in Embodiment 1 are completed.

Embodiment 4

[0099] This embodiment provides a computer-readable storage medium, which is characterized by being used to store computer instructions, and when the computer instructions are executed by a processor, the steps described in the method in Embodiment 1 are completed.

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Abstract

The present disclosure proposes a battery string multi-fault diagnosis method and system based on corrected sample entropy. The fault diagnosis method includes the following steps: obtaining the measured battery voltage of the battery string to be diagnosed; Battery voltage sequence, calculate the sample entropy value of the battery voltage sequence; set the correction coefficient used to represent the voltage fluctuation information, and correct the sample entropy value through the correction coefficient to obtain the corrected sample entropy value; according to the numerical change of the corrected sample entropy value, judge and output Fault type of the battery string to be diagnosed. It can accurately diagnose battery faults without a model. By setting the correction coefficient, the sample entropy values ​​under different faults can be distinguished, which improves the intuitiveness and efficiency of fault judgment, and can quickly, accurately and stably diagnose and predict lithium batteries. Ion battery failure type and timing.

Description

technical field [0001] The present disclosure relates to the related technical field of battery fault diagnosis, and in particular, relates to a method and system for diagnosing multiple faults of battery strings based on corrected sample entropy. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] Due to the impact of energy crisis, environmental pollution, and temperature changes, electric vehicles (such as Tesla) are becoming more and more popular. As the power source of electric vehicles, lithium-ion batteries have an extremely important impact on the power, economy and safety of vehicles. According to statistics, among the 1.95 million electric vehicles, 52% of the failures are caused by lithium-ion batteries. Battery failure is mainly caused by two reasons. On the one hand, the electrochemical reactions in lithium-ion batteries are e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/385G01R31/396G01R31/52G01R19/165
CPCG01R31/385G01R31/396G01R31/3648G01R19/16542G01R19/16576G01R31/392G01R31/3835
Inventor 商云龙鲁高鹏张承慧康永哲周忠凯段彬
Owner SHANDONG UNIV
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