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Voltage abnormal monomer identification algorithm based on probability abrupt change rule

A technology of abnormal voltage and identification algorithm, which is applied in the field of identification algorithm of abnormal voltage cells, can solve problems such as battery cell failure, occupancy, vehicle safety accidents, etc., and achieve the effect of improving the effective utilization rate

Active Publication Date: 2020-11-03
CHINA AUTOMOTIVE ENG RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The power battery includes several battery cells. The power battery is used as the energy supply part of the vehicle, and the battery cells in it are always in use; when a battery cell of a new energy vehicle fails and is not disposed of in time, It is very easy to affect the failure of the surrounding battery cells, which will cause the safety accident of the whole vehicle
[0007] At present, the amount of operating data is huge, and the operating data cannot be well utilized after collection and aggregation
These battery data not only take up a very large storage space, but also the effective utilization rate of battery data is very low

Method used

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  • Voltage abnormal monomer identification algorithm based on probability abrupt change rule
  • Voltage abnormal monomer identification algorithm based on probability abrupt change rule
  • Voltage abnormal monomer identification algorithm based on probability abrupt change rule

Examples

Experimental program
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Effect test

Embodiment 1

[0037] Such as figure 1 As shown, an identification algorithm for abnormal voltage monomers based on the probability mutation rule, including:

[0038] In the data acquisition step, the voltage data of each battery cell is acquired with the vehicle as a unit. Specifically, the acquired voltage data is 100,000 pieces of previous historical data.

[0039] The analysis and screening step is to perform statistical analysis on the voltage data; analyze the cumulative voltage frequency distribution smaller than the preset voltage value by means of cumulative frequency, screen out the corresponding voltage value when the cumulative voltage frequency is less than X, and record it as the low-voltage threshold value; use The cumulative frequency method analyzes the cumulative voltage frequency distribution greater than the preset voltage value, screens out the corresponding voltage value when the cumulative voltage frequency is less than Y, and records it as the high voltage threshold;...

Embodiment 2

[0064] Different from Embodiment 1, in this embodiment, it also includes:

[0065] The vehicle body state acquisition step is to obtain vehicle body state data through a vehicle speed sensor electrically connected to the vehicle controller, and a plurality of temperature sensors electrically connected to the vehicle controller; wherein, the number of temperature sensors is at least three times the number of batteries, and the temperature sensors have The respective numbers, temperature sensors are evenly installed inside and outside the vehicle body, and the installation positions of each temperature sensor are pre-stored in the on-board controller;

[0066] In the body temperature analysis step, after the on-board controller receives the temperature fed back by the temperature sensor, it retrieves the corresponding installation position according to the number of the temperature sensor, and generates a temperature distribution map of the vehicle based on the temperature value ...

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Abstract

The invention belongs to the technical field of automobile battery detection, and particularly relates to a probability mutation rule-based voltage abnormal monomer identification algorithm, which comprises the following steps of: a data acquisition step: acquiring voltage data of a battery monomer by taking a vehicle as a unit; an analysis and screening step: performing statistical analysis on the voltage data; analyzing cumulative voltage frequency distribution smaller than a preset voltage value in a cumulative frequency mode, screening out a corresponding voltage value when the cumulativevoltage frequency is smaller than X, and recording the voltage value as a low-voltage threshold value; analyzing cumulative voltage frequency distribution greater than a preset voltage value in a cumulative frequency mode, screening out a corresponding voltage value when the cumulative voltage frequency is less than X, and recording the voltage value as a high-voltage threshold; and a battery monomer inspection step: carrying out statistical analysis on the data of the battery monomer. By using the algorithm, the effective utilization rate of the battery data can be improved, and the single battery with abnormal voltage can be quickly identified.

Description

technical field [0001] The invention belongs to the technical field of automobile battery detection, and in particular relates to an identification algorithm for abnormal voltage monomers based on a probability mutation rule. Background technique [0002] New energy vehicles refer to the use of unconventional vehicle fuels as power sources (or the use of conventional vehicle fuels, the use of new vehicle power devices), integrated vehicle power control and advanced technology in driving, the formation of advanced technical principles, with Automobiles with new technology and new structure. [0003] New energy vehicles include pure electric vehicles, extended-range electric vehicles, hybrid vehicles, fuel cell electric vehicles, hydrogen engine vehicles, etc. Compared with the existing fuel vehicles, new energy vehicles have the characteristics of zero pollutant emission, high energy utilization rate, simple structure and low noise. The society is also vigorously advocating ...

Claims

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Application Information

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IPC IPC(8): G07C5/08G07C5/00B60L58/10
CPCB60L58/10G07C5/006G07C5/0808G07C5/0825G07C5/0841Y02T10/70
Inventor 周科松
Owner CHINA AUTOMOTIVE ENG RES INST