CN115575846A - Method, device, equipment and medium for detecting health state of battery pack - Google Patents

Method, device, equipment and medium for detecting health state of battery pack Download PDF

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CN115575846A
CN115575846A CN202211561566.2A CN202211561566A CN115575846A CN 115575846 A CN115575846 A CN 115575846A CN 202211561566 A CN202211561566 A CN 202211561566A CN 115575846 A CN115575846 A CN 115575846A
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battery pack
detection
test item
current
score
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CN115575846B (en
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戚海涛
彭硕磊
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Beijing Zhixiang Technology Co Ltd
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Beijing Zhixiang Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

Abstract

The invention provides a method, a device, equipment and a medium for detecting the health state of a battery pack, which relate to the technical field of battery detection, and the method comprises the following steps: detecting n test items of a battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries; generating a detection score of each test item based on the detection data of each test item; calculating a comprehensive detection score of the battery pack based on the detection score of each test item and the preset score ratio of each test item; determining that the health state of the battery pack is normal under the condition that the comprehensive detection score is within a preset first range; determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range. The embodiment of the invention takes the battery pack as a unit for detection, reduces the detection data volume and improves the detection efficiency of the health state of the battery pack.

Description

Method, device, equipment and medium for detecting health state of battery pack
Technical Field
The invention relates to the technical field of battery detection, in particular to a method, a device, equipment and a medium for detecting the health state of a battery pack.
Background
The lithium battery used by the electric bicycle has the advantages of high specific energy, light weight, fast power conversion and the like, and is widely applied to the electric bicycle. However, as the lithium battery stores more energy, when accidents such as short circuit, overcurrent and damage occur, the lithium battery can instantly release the energy, so that fire and explosion easily occur, and the life and property safety of people are seriously affected.
The existing lithium battery health degree evaluation scheme generally detects a single battery and analyzes detection data to obtain the health state of the single battery.
However, if the lithium battery pack needs to be detected and the health state of the lithium battery pack needs to be analyzed, the data volume of the detected data can be multiplied along with the increase of the number of the single batteries in the lithium battery pack, so that the data analysis time is long, and the detection efficiency of the health state of the lithium battery pack is low.
Disclosure of Invention
The invention provides a method, a device, equipment and a medium for detecting the health state of a battery pack, which are used for solving the problem of low detection efficiency of the health state of a lithium battery pack in the prior art.
The invention provides a method for detecting the health state of a battery pack, which comprises the following steps:
detecting n test items of the battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries;
generating a detection score of each test item based on the detection data of each test item;
calculating a comprehensive detection score of the battery pack based on the detection score of each test item and the preset score ratio of each test item;
determining that the health state of the battery pack is normal under the condition that the comprehensive detection score is within a preset first range;
determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range.
According to the present invention, a method for detecting the state of health of a battery pack is provided, the method further comprising:
under the condition that the comprehensive detection score is not in the first range, judging whether the detection score of each test item is in a preset second range corresponding to each test item;
acquiring the test items which are not in the second range from the n test items, and displaying the abnormal items on a visual page as abnormal items of the battery pack.
According to the method for detecting the health state of the battery pack, the n test items comprise at least one of the following items:
testing items of charging and discharging interface faults;
testing the total voltage of the lithium battery pack;
testing the internal resistance of the lithium battery pack;
an overcurrent protection function test item of the lithium battery pack;
testing the insulation resistance of the lithium battery pack;
and (5) testing leakage of the lithium battery pack.
According to the method for detecting the health state of the battery pack provided by the invention, under the condition that the n test items comprise the total voltage test item of the lithium battery pack, the n test items of the battery pack are detected to obtain the detection data of each test item, and the method comprises the following steps:
measuring the current voltage between two lugs of the battery pack and the current electric quantity of the battery pack as the detection data;
generating a detection score of each test item based on the detection data of each test item, including:
determining whether the current voltage is within a voltage normal range corresponding to the current electric quantity or not based on the current voltage, the current electric quantity and a preset corresponding relation between the voltage normal range of the battery pack and the electric quantity;
under the condition that the current voltage is within the normal voltage range corresponding to the current electric quantity, generating the detection fraction of the total voltage test item of the lithium battery pack by adopting a formula (1)
Figure 890008DEST_PATH_IMAGE001
Figure 591248DEST_PATH_IMAGE002
wherein ,
Figure 175944DEST_PATH_IMAGE003
representing a preset voltage mean value corresponding to the current electric quantity,
Figure 595424DEST_PATH_IMAGE004
-characterizing said present voltage by a current value of said current voltage,
Figure 681192DEST_PATH_IMAGE005
a first parametric factor is characterized.
According to the method for detecting the health state of the battery pack provided by the invention, under the condition that the n test items comprise the internal resistance test item of the lithium battery pack, the n test items of the battery pack are detected to obtain the detection data of each test item, and the method comprises the following steps:
measuring the current internal resistance of the battery pack as the detection data;
generating a detection score of each test item based on the detection data of each test item, including:
determining whether the current internal resistance is within a preset internal resistance normal range of the battery pack;
under the condition that the current internal resistance is within the normal internal resistance range, generating the detection score of the internal resistance test item of the lithium battery pack by adopting a formula (2)
Figure 236938DEST_PATH_IMAGE006
Figure 117169DEST_PATH_IMAGE007
wherein ,
Figure 899312DEST_PATH_IMAGE008
characterization ofThe average value of the internal resistance is preset,
Figure 257612DEST_PATH_IMAGE009
the current internal resistance is characterized in that,
Figure 933444DEST_PATH_IMAGE010
a second parametric factor is characterized.
According to the method for detecting the health state of the battery pack provided by the invention, under the condition that the n test items comprise the over-current protection function test item of the lithium battery pack, the n test items of the battery pack are detected to obtain the detection data of each test item, and the method comprises the following steps:
controlling the battery pack to discharge at a first current in a discharge loop of the battery pack; wherein the first current is greater than a maximum allowable discharge current of the battery pack;
detecting a second current in the discharge circuit;
acquiring the overcurrent time of the second current within a preset normal current range of the battery pack as the detection data;
generating a detection score of each test item based on the detection data of each test item, including:
generating the detection fraction of the over-current protection function test item of the lithium battery pack by adopting a formula (3) based on the over-current time
Figure 984577DEST_PATH_IMAGE011
Figure 988436DEST_PATH_IMAGE012
wherein ,
Figure 416006DEST_PATH_IMAGE013
and characterizing the overcurrent time.
According to the method for detecting the health state of the battery pack, the method for calculating the comprehensive detection score of the battery pack based on the detection score of each test item and the preset score ratio of each test item comprises the following steps:
a detection score based on each of the test items
Figure 680765DEST_PATH_IMAGE014
And the preset fraction ratio of each test item
Figure 168378DEST_PATH_IMAGE015
Calculating the comprehensive detection score of the battery pack by using the formula (4)
Figure 518588DEST_PATH_IMAGE016
Figure 484270DEST_PATH_IMAGE017
wherein ,
Figure 744482DEST_PATH_IMAGE018
characterizing the first of the n test items
Figure 402996DEST_PATH_IMAGE019
And (4) testing items.
The present invention also provides a battery pack state of health detection apparatus, comprising:
the detection module is used for detecting n test items of the battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries;
the generating module is used for generating the detection scores of the test items based on the detection data of the test items;
the calculation module is used for calculating the comprehensive detection score of the battery pack based on the detection score of each test item and the preset score ratio of each test item;
the determination module is used for determining that the health state of the battery pack is normal under the condition that the comprehensive detection score is within a preset first range; determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the battery pack health state detection method.
The present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of detecting the state of health of a battery pack as described in any one of the above.
The present invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a method of detecting the state of health of a battery pack as described in any one of the above.
According to the method, the device, the equipment and the medium for detecting the health state of the battery pack, the battery pack is used as a unit for detection, and compared with the method that the battery pack is used as a unit for detection in the related technology, the data volume of detection data obtained by detection can be effectively reduced, the health state of the battery pack can be analyzed based on the detection data with less data volume, the data analysis time is effectively reduced, and the detection efficiency of the health state of the battery pack is improved; in addition, compared with the method of determining the health state of the battery pack through modeling a battery model and the like in the related art, the embodiment of the invention calculates the comprehensive detection score of the battery pack based on the detection scores corresponding to the detection data of the test items and the score ratios corresponding to the detection scores, and further determines the health state of the battery pack according to the comprehensive detection score, thereby effectively simplifying the determination process of the health state of the battery pack and further improving the detection efficiency of the health state of the battery pack.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for detecting the state of health of a battery pack according to the present invention;
FIG. 2 is a diagram illustrating a corresponding curve between the total voltage and the remaining capacity of the lithium battery according to the present invention;
FIG. 3 is a second schematic flow chart of the method for detecting the health status of a battery pack according to the present invention;
fig. 4 is a schematic structural diagram of a battery pack state of health detection device provided by the present invention;
fig. 5 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The following describes a battery pack state of health detection method, apparatus, device, and medium according to the present invention with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a method for detecting a state of health of a battery pack according to the present invention, and as shown in fig. 1, the method for detecting a state of health of a battery pack includes steps 101 to 105; wherein:
101, detecting n test items of a battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries;
102, generating a detection score of each test item based on the detection data of each test item;
103, calculating a comprehensive detection score of the battery pack based on the detection score of each test item and the preset score ratio of each test item;
104, under the condition that the comprehensive detection score is within a preset first range, determining that the health state of the battery pack is normal; determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range.
It should be noted that the method for detecting the health state of the battery pack provided in the embodiment of the present invention may be applied to a detection device disposed outside the battery pack or a detection device disposed in the battery pack, where the detection device is connected to the battery pack and is configured to detect each test item of the battery pack, and perform data analysis on the obtained detection data, so as to finally obtain the health state of the battery pack.
In a lithium battery health degree evaluation scheme in the related art, a single battery is generally detected, and then detection data is analyzed to obtain the health state of the single battery.
However, if the lithium battery pack needs to be detected and the health state of the lithium battery pack needs to be analyzed, the data volume of the detected data is multiplied along with the increase of the number of the single batteries in the lithium battery pack, so that the data analysis time is long, and the detection efficiency of the health state of the lithium battery pack is low.
In addition, because the battery pack usually needs waterproof and moistureproof processing, it is difficult to directly detect the relevant data of the single battery of the lithium battery, and the forced detection may damage the structure of the battery pack, which causes the lithium battery pack of the electric bicycle to be difficult to restore, which is not allowed for the detection of the lithium battery of the electric bicycle.
In view of the above problems, embodiments of the present invention provide a method for detecting a health state of a battery pack, which can simply connect a detection device to the battery pack, for example, connect the detection device to a charging/discharging interface of the battery pack, where some battery packs need to be connected to a data communication line, and obtain related detection data of the battery pack by testing test items of the battery pack, such as a total voltage value, an internal resistance value, a discharging overcurrent protection function, an insulation property, a leakage, states of the charging/discharging interface, and the like, so as to analyze the detection data and obtain the health state of the battery pack.
Specifically, in the embodiment of the present invention, the battery pack is used as a unit for detection, the battery pack may include at least two single batteries, n test items of the battery pack are detected first to obtain detection data of each test item, then a detection score of each test item is generated based on the detection data of each test item, further, a comprehensive detection score of the battery pack is calculated based on the detection score of each test item and a preset score ratio of each test item, and whether the comprehensive detection score is within a preset first range is determined, and under the condition that the comprehensive detection score is within the first range, the health state of the battery pack is determined to be normal; in the case where it is not within the first range, the state of health of the battery pack is determined to be abnormal.
For example, it may be determined whether the comprehensive detection score is higher than a certain threshold, for example, the threshold is 70 points, and if the comprehensive detection score corresponding to the battery pack is higher than 70 points, it may be considered that the battery pack has no potential safety hazard temporarily, and it may be determined and marked that the health state of the battery pack is normal;
if the comprehensive detection score corresponding to the battery pack is lower than or equal to 70 points, the battery pack is considered to have potential safety hazards, dangers may occur, and the health state of the battery pack can be confirmed and marked as abnormal.
Alternatively, the battery may be a lithium battery.
Optionally, a cloud-edge cooperative data processing mode may be adopted, specifically, a set of detection data of the battery pack may be transmitted to a cloud, and the detection data is analyzed and processed by the cloud, for example, the detection data is compared with a standard data model stored in the cloud, so as to finally obtain a health state of the battery pack. By adopting a cloud-edge cooperative data processing mode and matching the cloud server with the edge device, the detection of all test items and the analysis of detection data can be completed within 1-2 minutes after the detection is started, and the test result including the health state of the battery pack is obtained.
In the method for detecting the health state of the battery pack provided by the embodiment of the invention, the battery pack is used as a unit for detection, and compared with the method for detecting the health state of the battery pack in the related art which uses a single battery as a unit, the data volume of detection data obtained by detection can be effectively reduced, the health state of the battery pack can be analyzed based on the detection data with less data volume, the data analysis time is effectively reduced, and the detection efficiency of the health state of the battery pack is improved; in addition, compared with the method of determining the health state of the battery pack by modeling a battery model and the like in the related art, the embodiment of the invention calculates the comprehensive detection score of the battery pack based on the detection scores corresponding to the detection data of the test items and the score ratios corresponding to the detection scores, and then determines the health state of the battery pack according to the comprehensive detection score, thereby effectively simplifying the determination process of the health state of the battery pack and further improving the detection efficiency of the health state of the battery pack.
Optionally, when the comprehensive detection score is not in the first range, it may be determined whether the detection score of each test item is in a preset second range corresponding to each test item;
acquiring the test items which are not in the second range from the n test items, and displaying the abnormal items on a visual page as abnormal items of the battery pack.
Specifically, it may be determined whether the integrated detection score is within a first range, and only when the integrated detection score is not within the first range, the comparison may be performed to determine whether each test item is within a corresponding second range, and to display an abnormal item that is not within the second range.
Optionally, the n test items may include at least one of:
1) Testing items of charging and discharging interface faults;
specifically, the detection device to which the method for detecting the health state of the battery pack according to the embodiment of the present invention is applied may be provided with a plurality of plugs such as a national standard product font head, a video head, an aviation head, a cannon head, a Direct Current (DC) head, and the like, and may be compatible with charging and discharging interfaces of a plurality of lithium battery packs of electric bicycles;
optionally, probe plugs may also be reserved on the test equipment for use in situations where a conventional plug cannot be mated.
The embodiment of the invention can detect the voltage of the charging and discharging interface of the lithium battery pack, when in test, the plug can be selected corresponding to the charging seat, the plug is inserted into the corresponding charging seat, the voltage value of the lithium battery pack of the electric bicycle is detected, if the voltage value is detected to be between the maximum voltage and the cut-off voltage of the corresponding lithium battery pack, the charging and discharging interface is judged to have no fault, and the fraction of the test item can be set as 100; and if the detected voltage value is 0, judging that the charging interface and the discharging interface have faults, and setting the fraction of the test item to be 0.
2) Testing the total voltage of the lithium battery pack;
3) Testing the internal resistance of the lithium battery pack;
4) An overcurrent protection function test item of the lithium battery pack;
5) Testing the insulation resistance of the lithium battery pack;
specifically, the embodiments of the present invention may use a bridge method to measure the insulation resistance values between the positive electrode and the negative electrode of the battery pack and the housing, and determine the resistance value of the test resistor according to the voltage of the battery pack of the electric bicycle and the range of the insulation resistance values. Through the testing process, the insulation resistance value of the lithium battery pack can be detected, whether the insulation resistance value of the lithium battery pack is in a normal range or not is judged, and if the insulation resistance value of the lithium battery pack is in the normal range, the score of the test item can be set to be 100; if not, the insulation resistance value is considered abnormal, and the score of the test item may be set to 0.
6) And (5) testing leakage of the lithium battery pack.
Specifically, the embodiment of the present invention utilizes the characteristic that a Volatile Organic Compound (VOC) detection manner is sensitive to an organic volatile gas to detect whether the battery pack leaks.
If the lithium battery pack has a liquid leakage problem, volatile gas generated by liquid leakage inevitably exists, the detection equipment can use a specially-made adsorbable gas head through a disc-type interface, the electric bicycle lithium battery pack is installed in a laminating mode at a charging interface and a discharging interface, a self-priming pump is started, the charging interface is subjected to pumping type gas detection, gas in the battery case is pumped out, a sensor for detecting VOC is configured for measurement, if the concentration of VOC is detected to be within a normal range, the lithium battery pack is considered to have no liquid leakage problem, and the score of the test item can be set to be 100; if the concentration of VOC is detected to be out of the normal range, the lithium battery pack can be considered to have a leakage problem, and the score of the test item can be set to 0.
Optionally, when the n test items include the total voltage test item of the lithium battery pack, the implementation manner of detecting the n test items of the battery pack and obtaining the detection data of each test item may include:
measuring the current voltage between two lugs of the battery pack and the current electric quantity of the battery pack as the detection data;
the implementation manner of generating the detection score of each test item based on the detection data of each test item may include:
determining whether the current voltage is within a voltage normal range corresponding to the current electric quantity or not based on the current voltage, the current electric quantity and a preset corresponding relation between the voltage normal range of the battery pack and the electric quantity;
under the condition that the current voltage is within the normal voltage range corresponding to the current electric quantity, generating the detection fraction of the total voltage test item of the lithium battery pack by adopting a formula (1)
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Figure 21594DEST_PATH_IMAGE002
wherein ,
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the preset voltage average value corresponding to the current electric quantity is represented and can be obtained through experiments,
Figure 965727DEST_PATH_IMAGE022
-characterizing said present voltage by a current value of said current voltage,
Figure 556108DEST_PATH_IMAGE023
a first parameter factor is characterized.
Specifically, for the detection of the total voltage test item of the lithium battery pack, a relationship between a State of Charge (SOC) value of the battery and a total voltage of the lithium battery in a standard State of health of the battery pack is obtained in advance, where the SOC is also called a remaining capacity, and fig. 2 is a schematic diagram of a corresponding curve between the total voltage and the remaining capacity of the lithium battery provided by the present invention, as shown in fig. 2.
The embodiment of the invention measures the current voltage between two lugs of the lithium battery pack of the electric bicycle, can be communicated with the original electric quantity detection device of the electric bicycle, and obtains the normal voltage ranges (including the voltage and the threshold value thereof) in different electric quantity stages under the standard health condition through experiments. And then judging whether the current voltage of the lithium battery pack is overhigh according to the voltages and threshold values thereof at different electric quantity stages obtained by measurement, and if the current voltage is measured to be within a normal voltage range corresponding to the current electric quantity, generating a detection score of a total voltage test item of the lithium battery pack by adopting a formula (1)
Figure 863593DEST_PATH_IMAGE020
If the measured current voltage is not within the normal voltage range corresponding to the current electric quantity, the total voltage of the lithium battery pack can be considered to be abnormal, and the fraction of the test item can be set to be 0.
Optionally, under the condition that the n test items include the lithium battery internal resistance test item, the implementation manner of detecting the n test items of the battery pack and obtaining the detection data of each test item may include:
measuring the current internal resistance of the battery pack as the detection data;
the implementation manner of generating the detection score of each test item based on the detection data of each test item may include:
determining whether the current internal resistance is within a preset internal resistance normal range of the battery pack;
under the condition that the current internal resistance is within the normal internal resistance range, generating the detection score of the internal resistance test item of the lithium battery pack by adopting a formula (2)
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wherein ,
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representing the preset average value of the internal resistance,
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the current internal resistance is characterized in that,
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a second parametric factor is characterized.
Specifically, the embodiment of the present invention may utilize the existing internal resistance measurement method to measure the resistance of the internal resistance of the lithium battery pack, compare the measured resistance with the normal internal resistance range of the battery pack, for example, compare the measured resistance with the threshold of the normal battery pack resistance measured in the laboratory to determine whether the internal resistance of the lithium battery pack is normal or abnormal, and if the measured internal resistance of the lithium battery pack is within the normal internal resistance range, generate the detection score of the internal resistance test item of the lithium battery pack by using the formula (2)
Figure 751357DEST_PATH_IMAGE028
If the measured internal resistance of the lithium battery pack is not within the normal internal resistance range, the internal resistance of the lithium battery pack can be considered to be abnormal, and the fraction of the test item can be set to be 0.
Optionally, under the condition that the n test items include the lithium battery pack overcurrent protection function test item, the implementation manner of detecting the n test items of the battery pack and obtaining the detection data of each test item may include:
controlling the battery pack to discharge at a first current in a discharge loop of the battery pack; wherein the first current is greater than a maximum allowable discharge current of the battery pack;
detecting a second current in the discharge loop;
acquiring the overcurrent time of the second current within a preset normal current range of the battery pack as the detection data;
the implementation manner of generating the detection score of each test item based on the detection data of each test item may include:
generating the detection fraction of the over-current protection function test item of the lithium battery pack by adopting a formula (3) based on the over-current time
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wherein ,
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and characterizing the overcurrent time.
Specifically, according to the embodiment of the invention, the overcurrent protection function of the lithium battery pack can be tested in a resistor discharge mode, and the first discharge current can be 1.2 times of the maximum allowable discharge current. And a Hall sensor with a proper measuring range is additionally arranged in a discharging loop of the battery pack, and second current in the discharging loop is monitored so as to judge whether the discharging protection function of the lithium battery pack is normal.
Before and during discharging, the total voltage and the second current of the battery pack can be detected, and whether the discharging overcurrent protection function of the battery pack is normal or not can be judged by monitoring the magnitude relation between the second current and the first current.
Considering the safety problem in the heavy current discharge process, the discharge time of the battery pack can be set to be not more than 10 seconds, and the overcurrent time can be used
Figure 517133DEST_PATH_IMAGE032
Generating the detection score of the over-current protection function test item of the lithium battery pack by adopting a formula (3)
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The over-current protection function of the lithium battery pack can be judged to be normal or abnormal through the test.
Optionally, the calculating a comprehensive detection score of the battery pack based on the detection score of each test item and a preset score ratio of each test item may include:
a detection score based on each of the test items
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And a preset fraction ratio of each of the test items
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Calculating the comprehensive detection score of the battery pack by using the formula (4)
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wherein ,
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characterizing the first of the n test items
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And (4) testing items.
Specifically, the comprehensive detection score is used for representing the comprehensive evaluation of the tested lithium battery pack and can be based on the detection scores of all test items
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And the preset fraction ratio of each test item
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Calculating the comprehensive detection score of the battery pack by adopting a formula (4)
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For example, when the comprehensive detection score is less than 70, it may be determined that the current battery pack has a potential safety hazard, and the battery pack is marked as abnormal. Meanwhile, the abnormal item can be prompted.
The following illustrates a method for detecting the state of health of a battery pack according to an embodiment of the present invention.
Fig. 3 is a second schematic flowchart of the method for detecting the state of health of a battery pack according to the present invention, as shown in fig. 3, the method includes steps 301 to 307; wherein:
301, detecting the fault conditions of a charging interface and a discharging interface of the lithium battery pack of the electric bicycle;
step 302, detecting the total voltage value of the lithium battery pack of the electric bicycle, and analyzing data;
step 303, detecting the internal resistance value of the lithium battery pack of the electric bicycle, and analyzing data;
step 304, detecting the overcurrent protection function of the lithium battery pack of the electric bicycle;
305, detecting the insulation resistance value of the lithium battery pack of the electric bicycle, and analyzing data;
step 306, detecting the leakage condition of the lithium battery pack of the electric bicycle;
and 307, obtaining a comprehensive detection score of the lithium battery pack of the electric bicycle according to the detection data of each item.
Specifically, after the detection device is connected with the lithium battery pack, the fault detection of the charging and discharging interface can be firstly carried out; detecting the total voltage of the lithium battery pack, and performing data analysis, for example, comparing the detection data with a standard value; then measuring the internal resistance value of the lithium battery pack, and carrying out data analysis, for example, comparing the detection data with a standard value; discharging the lithium battery pack at 1.2 times of rated current, and detecting whether overcurrent protection is normal or not; measuring the insulativity of the lithium battery pack, specifically detecting the insulation resistance of the lithium battery pack, and performing data analysis, for example, comparing the detection data with a standard value; detecting whether leakage exists in the lithium battery pack or not; and finally, obtaining a comprehensive detection score as a final detection result according to detection data obtained by the detection items.
Optionally, an embodiment of the present invention provides a device for rapidly detecting the safety of a lithium battery pack of an electric vehicle, which can provide a detection result representing the health state of the battery pack within one minute by obtaining detection data of the total voltage of the battery pack, the internal resistance value of the battery pack, the overcurrent protection function of the battery pack, the insulation state of the battery pack, the leakage condition of the battery pack, the charging and discharging interface states of the battery pack, and the like, so as to solve the problems of many test items, complex operation, and long detection time in the prior art.
In the embodiment of the invention, the following beneficial effects exist:
1) The test data is simplified by detecting the lithium battery pack, the condition that a single battery cannot be directly measured can be avoided, the battery pack is prevented from being damaged due to disassembly of the battery pack, and the compatibility is good;
2) A cloud-edge cooperation scheme can be adopted, and the cloud server is matched with the edge equipment, so that all test items can be completed within 1-2 minutes, and the health state of the battery pack is determined;
3) The charging and discharging interfaces of the lithium battery pack of most electric vehicles can be compatible;
4) Related prompts and suggestions can be given according to the detection data of each test item;
5) The detection equipment can be portable equipment, and can detect the health state of the lithium battery pack in any place.
The following describes the battery pack state of health detection apparatus provided by the present invention, and the battery pack state of health detection apparatus described below and the battery pack state of health detection method described above may be referred to in correspondence with each other.
Fig. 4 is a schematic structural diagram of a battery pack state of health detection apparatus provided in the present invention, and as shown in fig. 4, the battery pack state of health detection apparatus 400 includes:
the detection module 401 is configured to detect n test items of a battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries;
a generating module 402, configured to generate a detection score of each test item based on detection data of each test item;
a calculating module 403, configured to calculate a comprehensive detection score of the battery pack based on the detection score of each test item and a preset score ratio of each test item;
a determining module 404, configured to determine that the state of health of the battery pack is normal if the integrated detection score is within a preset first range; determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range.
In the method for detecting the health state of the battery pack, provided by the embodiment of the invention, the battery pack is used as a unit for detection, so that compared with the method for detecting the health state of the battery pack in the related art, the data volume of detection data obtained by detection can be effectively reduced, the health state of the battery pack can be analyzed based on the detection data with less data volume, the data analysis time is effectively reduced, and the detection efficiency of the health state of the battery pack is improved; in addition, compared with the method of determining the health state of the battery pack by modeling a battery model and the like in the related art, the embodiment of the invention calculates the comprehensive detection score of the battery pack based on the detection scores corresponding to the detection data of the test items and the score ratios corresponding to the detection scores, and then determines the health state of the battery pack according to the comprehensive detection score, thereby effectively simplifying the determination process of the health state of the battery pack and further improving the detection efficiency of the health state of the battery pack.
Optionally, the detection module 401 is further configured to:
under the condition that the comprehensive detection score is not in the first range, judging whether the detection score of each test item is in a preset second range corresponding to each test item;
acquiring the test items which are not in the second range from the n test items, and displaying the abnormal items on a visual page as abnormal items of the battery pack.
Optionally, the n test items may include at least one of:
1) Testing items of charging and discharging interface faults;
2) Testing the total voltage of the lithium battery pack;
3) Testing the internal resistance of the lithium battery pack;
4) An overcurrent protection function test item of the lithium battery pack;
5) Testing the insulation resistance of the lithium battery pack;
6) And (5) testing leakage of the lithium battery pack.
Optionally, in a case that the n test items include the total voltage test item of the lithium battery pack, the detection module 401 is specifically configured to: measuring the current voltage between two lugs of the battery pack and the current electric quantity of the battery pack as the detection data;
the generating module 402 is specifically configured to:
determining whether the current voltage is within a voltage normal range corresponding to the current electric quantity or not based on the current voltage, the current electric quantity and a preset corresponding relation between the voltage normal range of the battery pack and the electric quantity;
under the condition that the current voltage is within the normal voltage range corresponding to the current electric quantity, generating the detection score of the total voltage test item of the lithium battery pack by adopting a formula (1)
Figure 377445DEST_PATH_IMAGE042
Figure 107635DEST_PATH_IMAGE002
wherein ,
Figure 356214DEST_PATH_IMAGE003
characterizing a preset voltage mean value corresponding to the current electric quantity,
Figure 689106DEST_PATH_IMAGE043
-characterizing said present voltage by a current value of said current voltage,
Figure 441162DEST_PATH_IMAGE044
a first parametric factor is characterized.
Optionally, in a case that the n test items include the lithium battery internal resistance test item, the detection module 401 is specifically configured to: measuring the current internal resistance of the battery pack as the detection data;
the generating module 402 is specifically configured to:
determining whether the current internal resistance is within a preset internal resistance normal range of the battery pack;
under the condition that the current internal resistance is within the normal internal resistance range, generating the detection score of the internal resistance test item of the lithium battery pack by adopting a formula (2)
Figure 732466DEST_PATH_IMAGE045
Figure 343707DEST_PATH_IMAGE007
wherein ,
Figure 214711DEST_PATH_IMAGE008
representing the preset average value of the internal resistance,
Figure 86852DEST_PATH_IMAGE009
the current internal resistance is characterized in that,
Figure 549057DEST_PATH_IMAGE046
a second parametric factor is characterized.
Optionally, under the condition that the n test items include the over-current protection function test item of the lithium battery pack, the detection module 401 is specifically configured to:
controlling the battery pack to discharge at a first current in a discharge loop of the battery pack; wherein the first current is greater than a maximum allowable discharge current of the battery pack;
detecting a second current in the discharge loop;
acquiring the overcurrent time of the second current within a preset normal current range of the battery pack as the detection data;
the generating module 402 is specifically configured to: generating the detection fraction of the over-current protection function test item of the lithium battery pack by adopting a formula (3) based on the over-current time
Figure 116436DEST_PATH_IMAGE047
Figure 322289DEST_PATH_IMAGE048
wherein ,
Figure 48937DEST_PATH_IMAGE049
and characterizing the overcurrent time.
Optionally, the calculating module 403 is specifically configured to:
a detection score based on each of the test items
Figure 416464DEST_PATH_IMAGE050
And a preset fraction ratio of each of the test items
Figure 736718DEST_PATH_IMAGE051
Calculating the comprehensive detection score of the battery pack by using the formula (4)
Figure 480683DEST_PATH_IMAGE016
Figure 61837DEST_PATH_IMAGE052
wherein ,
Figure 865845DEST_PATH_IMAGE053
characterizing the first of the n test items
Figure 407816DEST_PATH_IMAGE054
And (4) testing items.
Fig. 5 is a schematic structural diagram of an electronic device provided in the present invention, and as shown in fig. 5, the electronic device may include: a processor (processor) 510, a communication Interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540, wherein the processor 510, the communication Interface 520 and the memory 530 communicate with each other via the communication bus 540. Processor 510 may invoke logic instructions in memory 530 to perform a method of battery pack state of health detection, the method comprising: detecting n test items of a battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries;
generating a detection score of each test item based on the detection data of each test item;
calculating a comprehensive detection score of the battery pack based on the detection score of each test item and the preset score ratio of each test item;
determining that the health state of the battery pack is normal under the condition that the comprehensive detection score is within a preset first range;
determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range.
In addition, the logic instructions in the memory 530 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being stored on a non-transitory computer-readable storage medium, wherein when the computer program is executed by a processor, the computer is capable of executing the method for detecting the health status of a battery pack provided by the above methods, the method comprising: detecting n test items of the battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries;
generating a detection score of each test item based on the detection data of each test item;
calculating a comprehensive detection score of the battery pack based on the detection score of each test item and a preset score ratio of each test item;
determining that the health state of the battery pack is normal under the condition that the comprehensive detection score is within a preset first range;
determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program, which when executed by a processor, implements a method for detecting the state of health of a battery pack provided by the above methods, the method comprising: detecting n test items of the battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries;
generating a detection score of each test item based on the detection data of each test item;
calculating a comprehensive detection score of the battery pack based on the detection score of each test item and the preset score ratio of each test item;
determining that the health state of the battery pack is normal under the condition that the comprehensive detection score is within a preset first range;
determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for detecting a state of health of a battery pack, comprising:
detecting n test items of a battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries;
generating a detection score of each test item based on the detection data of each test item;
calculating a comprehensive detection score of the battery pack based on the detection score of each test item and a preset score ratio of each test item;
determining that the health state of the battery pack is normal under the condition that the comprehensive detection score is within a preset first range;
determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range.
2. The battery pack state of health detection method of claim 1, further comprising:
under the condition that the comprehensive detection score is not in the first range, judging whether the detection score of each test item is in a preset second range corresponding to each test item;
and acquiring the test items which are not in the second range from the n test items, and displaying the abnormal items on a visual page as the abnormal items of the battery pack.
3. The battery pack state of health detection method of claim 1, wherein the n test items comprise at least one of:
testing items of charging and discharging interface faults;
testing the total voltage of the lithium battery pack;
testing the internal resistance of the lithium battery pack;
an overcurrent protection function test item of the lithium battery pack;
testing the insulation resistance of the lithium battery pack;
and (5) testing leakage of the lithium battery pack.
4. The method according to claim 3, wherein in a case that the n test items include the total voltage test item of the lithium battery pack, the detecting n test items of the battery pack to obtain the detection data of each test item includes:
measuring the current voltage between two lugs of the battery pack and the current electric quantity of the battery pack as the detection data;
generating a detection score of each test item based on the detection data of each test item, including:
determining whether the current voltage is within a voltage normal range corresponding to the current electric quantity or not based on the current voltage, the current electric quantity and a preset corresponding relation between the voltage normal range of the battery pack and the electric quantity;
under the condition that the current voltage is within the normal voltage range corresponding to the current electric quantity, generating the detection score of the total voltage test item of the lithium battery pack by adopting a formula (1)
Figure 445142DEST_PATH_IMAGE001
Figure 411961DEST_PATH_IMAGE002
wherein ,
Figure 121291DEST_PATH_IMAGE003
characterizing a preset voltage mean value corresponding to the current electric quantity,
Figure 416137DEST_PATH_IMAGE004
the present voltage is characterized in that it is,
Figure 236326DEST_PATH_IMAGE005
a first parameter factor is characterized.
5. The method according to claim 3, wherein in a case that the n test items include the internal resistance test item of the lithium battery pack, the detecting n test items of the battery pack to obtain the detection data of each test item includes:
measuring the current internal resistance of the battery pack as the detection data;
generating a detection score of each test item based on the detection data of each test item, including:
determining whether the current internal resistance is within a preset internal resistance normal range of the battery pack;
under the condition that the current internal resistance is within the normal internal resistance range, generating the detection score of the internal resistance test item of the lithium battery pack by adopting a formula (2)
Figure 792072DEST_PATH_IMAGE006
Figure 672303DEST_PATH_IMAGE007
wherein ,
Figure 313500DEST_PATH_IMAGE008
representing the preset average value of the internal resistance,
Figure 937380DEST_PATH_IMAGE009
the current internal resistance is characterized in that,
Figure 222999DEST_PATH_IMAGE010
a second parametric factor is characterized.
6. The method according to claim 3, wherein in a case that the n test items include the over-current protection function test item of the lithium battery pack, the detecting n test items of the battery pack to obtain the detection data of each test item includes:
controlling the battery pack to discharge at a first current in a discharge loop of the battery pack; wherein the first current is greater than a maximum allowable discharge current of the battery pack;
detecting a second current in the discharge circuit;
acquiring the overcurrent time of the second current within a preset normal current range of the battery pack as the detection data;
generating a detection score of each test item based on the detection data of each test item, including:
generating the detection fraction of the over-current protection function test item of the lithium battery pack by adopting a formula (3) based on the over-current time
Figure 539710DEST_PATH_IMAGE011
Figure 668203DEST_PATH_IMAGE012
wherein ,
Figure 830194DEST_PATH_IMAGE013
and characterizing the overcurrent time.
7. The method for detecting the state of health of a battery pack according to claim 3, wherein the calculating of the comprehensive detection score of the battery pack based on the detection score of each test item and a preset score ratio of each test item comprises:
a detection score based on each of the test items
Figure 360533DEST_PATH_IMAGE014
And the preset fraction ratio of each test item
Figure 723512DEST_PATH_IMAGE015
Calculating the comprehensive detection score of the battery pack by using the formula (4)
Figure 808143DEST_PATH_IMAGE016
Figure 39404DEST_PATH_IMAGE017
wherein ,
Figure 424249DEST_PATH_IMAGE018
characterizing the first of the n test items
Figure 82764DEST_PATH_IMAGE019
And (6) testing items.
8. A battery pack state of health detection apparatus, comprising:
the detection module is used for detecting n test items of the battery pack to obtain detection data of each test item; wherein n is an integer greater than 1, and the battery pack comprises at least two single batteries;
the generating module is used for generating the detection scores of the test items based on the detection data of the test items;
the calculation module is used for calculating the comprehensive detection score of the battery pack based on the detection score of each test item and the preset score ratio of each test item;
the determination module is used for determining that the health state of the battery pack is normal under the condition that the comprehensive detection score is within a preset first range; determining that the state of health of the battery pack is abnormal in a case where the integrated detection score is not within the first range.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the method of battery health status detection as claimed in any one of claims 1 to 7.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the battery pack state of health detection method according to any one of claims 1 to 7.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150168498A1 (en) * 2013-12-16 2015-06-18 Automotive Research & Testing Center Method and system for estimating state of health of battery set
CN108051759A (en) * 2017-12-28 2018-05-18 北京臻迪科技股份有限公司 A kind of test system and method for lithium battery, lithium battery
CN111760805A (en) * 2020-06-18 2020-10-13 合肥国轩高科动力能源有限公司 Lithium ion experimental battery testing and screening method
CN112098876A (en) * 2020-08-27 2020-12-18 浙江省邮电工程建设有限公司 Method for detecting abnormality of single battery in storage battery
CN112946483A (en) * 2021-02-05 2021-06-11 重庆长安新能源汽车科技有限公司 Comprehensive evaluation method for battery health of electric vehicle and storage medium
CN112946485A (en) * 2021-02-09 2021-06-11 江西江铃集团新能源汽车有限公司 Vehicle battery detection method, storage medium and device
CN113590482A (en) * 2021-07-29 2021-11-02 深圳市超思维电子股份有限公司 Test method and test system for battery management system BMS
CN115356642A (en) * 2022-08-18 2022-11-18 三门核电有限公司 Method for monitoring and evaluating state of storage battery

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150168498A1 (en) * 2013-12-16 2015-06-18 Automotive Research & Testing Center Method and system for estimating state of health of battery set
CN108051759A (en) * 2017-12-28 2018-05-18 北京臻迪科技股份有限公司 A kind of test system and method for lithium battery, lithium battery
CN111760805A (en) * 2020-06-18 2020-10-13 合肥国轩高科动力能源有限公司 Lithium ion experimental battery testing and screening method
CN112098876A (en) * 2020-08-27 2020-12-18 浙江省邮电工程建设有限公司 Method for detecting abnormality of single battery in storage battery
CN112946483A (en) * 2021-02-05 2021-06-11 重庆长安新能源汽车科技有限公司 Comprehensive evaluation method for battery health of electric vehicle and storage medium
CN112946485A (en) * 2021-02-09 2021-06-11 江西江铃集团新能源汽车有限公司 Vehicle battery detection method, storage medium and device
CN113590482A (en) * 2021-07-29 2021-11-02 深圳市超思维电子股份有限公司 Test method and test system for battery management system BMS
CN115356642A (en) * 2022-08-18 2022-11-18 三门核电有限公司 Method for monitoring and evaluating state of storage battery

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈凯等: "基于LIBSVM的铅酸蓄电池荷电状态估计", 《电源技术》 *

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