Temperature sensor fault diagnosis method and system

A temperature sensor and fault diagnosis technology, applied in thermometers, thermometer testing/calibration, instruments, etc., can solve problems such as increasing hardware volume and cost, improve effective utilization, reduce redundancy, and avoid misjudgment of battery status. Effect

Active Publication Date: 2016-10-12
FUZHOU DANLAW XICHENG ELECTRONICS TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology uses both softwares or hardwires for diagnosing problems with batteries used inside electronic devices such as smartphones. It achieves this through comparing different temperatures taken from each individual battery's case before testing them under specific conditions. By doing these comparisons, we are able to determine if there was any problem with one component while another had been previously tested without actually having access to an unusual dataset containing normal data. Additionally, our algorithm takes into account factors like how often they were affected during their use period, allowing us to identify potential issues early on rather than waiting until symptoms occur again after being exposed to certain environmental stressors over time. Overall, this approach improves efficiency and reduces redundancy compared to current approaches requiring full recollection of all relevant data sources.

Problems solved by technology

Technological Problem: Power batteries require precise monitoring for their performance and health conditioning purposes. However, existing methods have limitations such as requiring multiple temperature senses with different measurements from one another, increasing complexity and costs associated therewith. Additionally, some conventional approaches only involve comparing measured temperatures against predetermined thresholds without considering any other factors like how well they work together during vehicle usage can be challenged due to variations between manufacturing processes.

Method used

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  • Temperature sensor fault diagnosis method and system
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  • Temperature sensor fault diagnosis method and system

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Embodiment 1

[0083] Please refer to Figure 1-5 , Embodiment 1 of the present invention is:

[0084] A kind of fault diagnosis method of temperature sensor provided by the present invention comprises:

[0085] Step 1, preset the number of tests and the number of abnormalities; the threshold of the number of tests is the first number of tests; the threshold of the number of abnormalities is the first number of abnormalities; the number of tests and the number of abnormalities are initialized, specifically: the number of tests K y and the number of abnormalities K x The recorded number of times is cleared (K y = 0,K x =0). The first number of tests is set to 50 times, and the first number of abnormalities is set to 5 times.

[0086] Step 2. Obtain the first temperature data T of the single battery casing through the temperature sensor to be tested s ;

[0087] Step 3. Calculate the shell temperature of the single battery according to the least squares algorithm and the thermal model of

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PUM

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Abstract

The invention relates to the fault diagnosis field, and especially relates to a temperature sensor fault diagnosis method and system. Temperature data of a housing of a single cell is obtained through software and hardware two modes respectively, and a comparison is made between the temperature data obtained through the two modes; if the test times in the multiple obtaining test process surpasses a reasonable times range, it is judged that fault occurs; then, analysis is carried out with abnormal information stored in an abnormal database being combined; and if the abnormal database does store the abnormal information, it is judged that fault occurs to a temperature sensor to be tested. The temperature sensor fault diagnosis method and system not only can prevent misjudgment of cell state due to fault of the temperature sensor, but also can greatly reduce redundancy quantity of the temperature sensor; abnormal database data does not need to be obtained in real time, and can only need to be obtained when fault is judged preliminarily; and effective utilization ratio of system resources can be greatly improved.

Description

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Claims

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Application Information

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Owner FUZHOU DANLAW XICHENG ELECTRONICS TECH CO LTD
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