CN116359749A - Method and device for detecting abnormality of lithium iron phosphate battery pack and readable storage medium - Google Patents
Method and device for detecting abnormality of lithium iron phosphate battery pack and readable storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 63
- 230000005856 abnormality Effects 0.000 title claims abstract description 42
- 238000003860 storage Methods 0.000 title claims abstract description 23
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 title claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 66
- 238000012545 processing Methods 0.000 claims abstract description 50
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- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 4
- 229910001416 lithium ion Inorganic materials 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
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- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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Abstract
The embodiment of the application provides a method and equipment for detecting abnormality of a lithium iron phosphate battery pack and a readable storage medium, wherein the method comprises the following steps: acquiring a first voltage relaxation curve and a second voltage relaxation curve of a battery pack to be detected; acquiring a first inflection point corresponding to the first voltage relaxation curve and a second inflection point corresponding to the second voltage relaxation curve, wherein the first inflection point is a peak point in the first voltage relaxation curve, the mutation degree of which corresponds to the highest voltage value meets a first preset condition, and the second inflection point is a time point in the second voltage relaxation curve, the mutation degree of which corresponds to the lowest voltage value meets a second preset condition; and performing self-discharge detection processing on the battery pack according to the first inflection point and the second inflection point to obtain a target detection result, wherein the target detection result indicates whether the self-discharge of the battery pack is abnormal or not.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of batteries, in particular to a method for detecting battery pack abnormality of a lithium iron phosphate battery, electronic equipment and a computer readable storage medium.
Background
With the strong demand of renewable energy solutions, lithium ion batteries are becoming more and more widely used. Currently, due to cost and technical limitations, battery manufacturers often cannot achieve complete uniformity in the process of producing batteries, and even certain batteries may suffer from extreme self-discharge (self-discharge) anomalies.
In practice, a plurality of batteries are generally used as electric cores and are configured in a serial or parallel manner to form a battery pack, so that when one or more electric cores in the battery pack have self-discharge abnormality, a physical object using the battery pack, such as a vehicle, a ship, etc., directly fails, and therefore, how to timely and accurately detect the self-discharge abnormality of the battery pack is called a problem to be solved.
Disclosure of Invention
It is an object of the present disclosure to provide a new solution for detecting abnormalities of lithium iron phosphate battery packs, in particular self-discharge abnormalities of lithium iron phosphate battery packs.
According to a first aspect of the present disclosure, there is provided an embodiment of a lithium iron phosphate battery pack abnormality detection method, including:
acquiring a first voltage relaxation curve and a second voltage relaxation curve of a battery pack to be detected, wherein the battery pack comprises a plurality of battery cells, and the first voltage relaxation curve and the second voltage relaxation curve are curves reflecting the change of the highest voltage and the lowest voltage in the plurality of battery cells along with the capacity under the same capacity in the process of charging the battery pack;
Acquiring a first inflection point corresponding to the first voltage relaxation curve and a second inflection point corresponding to the second voltage relaxation curve, wherein the first inflection point is a peak point in the first voltage relaxation curve, the mutation degree of which corresponds to the highest voltage value meets a first preset condition, and the second inflection point is a peak point in the second voltage relaxation curve, the mutation degree of which corresponds to the lowest voltage value meets a second preset condition;
and performing self-discharge detection processing on the battery pack according to the first inflection point and the second inflection point to obtain a target detection result, wherein the target detection result indicates whether the self-discharge of the battery pack is abnormal or not.
Optionally, the acquiring a first inflection point corresponding to the first voltage relaxation curve and acquiring a second inflection point corresponding to the second voltage relaxation curve includes:
obtaining a first voltage differential capacity curve by carrying out differential processing on the highest voltage value and capacity at each point in the first voltage relaxation curve;
obtaining a second voltage differential capacity curve by carrying out differential processing on the lowest voltage value and capacity at each point in the second voltage relaxation curve;
And obtaining the first inflection point according to the first voltage differential capacity curve, and obtaining the second inflection point according to the second voltage differential capacity curve.
Optionally, the first inflection point is a second high peak point in the first voltage differential capacity curve;
the second inflection point comprises a first sub-inflection point and a second sub-inflection point, wherein the first sub-inflection point is a first high peak point in the second voltage differential capacity curve, and the second sub-inflection point is a second high peak point in the second voltage differential capacity curve;
and performing self-discharge detection processing on the battery pack according to the first inflection point and the second inflection point to obtain a target detection result, wherein the self-discharge detection processing comprises the following steps:
acquiring an absolute value of a difference between a first capacity at the first inflection point and a second capacity at the first sub-inflection point as a first capacity difference;
acquiring an absolute value of a difference between the first capacity and a third capacity at the second sub-inflection point as a second capacity difference;
and performing self-discharge detection processing on the battery pack according to at least one of the first capacity difference value and the second capacity difference value to obtain the target detection result.
Optionally, the performing self-discharge detection processing on the battery pack according to at least one of the first capacity difference value and the second capacity difference value to obtain the target detection result includes:
and setting the target detection result as information representing the self-discharge abnormality of the battery pack under the condition that the first capacity difference value is not larger than a first preset threshold value and/or the second capacity difference value is not smaller than a second preset threshold value.
Optionally, the performing self-discharge detection processing on the battery pack according to the first inflection point and the second inflection point to obtain a target detection result further includes:
acquiring a corresponding state of charge deviation value of the battery pack at the first inflection point and/or the second inflection point, wherein the state of charge deviation value represents the degree of deviation between the actual state of charge of the battery pack at the corresponding inflection point and an estimated state of charge, and the estimated state of charge is a value of the estimated state of charge of the battery at the inflection point;
and setting the target detection result as information representing the self-discharge abnormality of the battery pack under the condition that the state of charge deviation value is not smaller than a preset deviation threshold value.
Optionally, the acquiring the state of charge deviation value of the battery pack at the first inflection point and/or at the second inflection point includes:
acquiring a voltage state-of-charge relaxation curve corresponding to the battery pack, wherein the voltage state-of-charge relaxation curve is a curve reflecting the corresponding relation between the state of charge of the battery pack and an open circuit voltage;
performing differential processing on the voltage state-of-charge relaxation curve to obtain a voltage differential state-of-charge curve;
obtaining the estimated state of charge according to the voltage differential state of charge curve;
obtaining the actual state of charge according to the corresponding capacity of the battery pack at the first inflection point and/or the second inflection point and the nominal capacity of the battery pack;
and acquiring an absolute value of a difference value between the actual state of charge and the estimated state of charge as the state of charge deviation value.
Optionally, the acquiring the first voltage relaxation curve and the second voltage relaxation curve of the battery pack to be detected includes:
acquiring first alternating-current charging data corresponding to the battery pack, wherein the first alternating-current charging data comprises a current value, a highest voltage value, a lowest voltage value and an initial charge state of the battery pack at each moment in a charging process;
And obtaining the first voltage relaxation curve and the second voltage relaxation curve according to the first alternating current charging data.
Optionally, the obtaining the first voltage relaxation curve and the second voltage relaxation curve according to the first ac charging data includes:
performing data cleaning processing on the first alternating-current charging data, and sequencing the first alternating-current charging data subjected to the data cleaning processing according to time sequence to obtain second alternating-current charging data;
calculating the initial capacity of the battery pack at the initial moment according to the nominal capacity of the battery pack and the initial charge state;
obtaining the corresponding capacity of the battery pack at each moment according to the current corresponding to each moment in the second alternating current charging data and the initial capacity;
and obtaining the first voltage relaxation curve and the second voltage relaxation curve according to the initial capacity, the highest voltage value at each moment, the lowest voltage value at each moment and the capacity at each moment.
Optionally, the obtaining the first voltage relaxation curve and the second voltage relaxation curve according to the initial capacity, the highest voltage value at each time, the lowest voltage value at each time, and the capacity at each time includes:
Generating a first initial voltage relaxation curve and a second initial voltage relaxation curve according to the initial capacity, the highest voltage value at each moment, the lowest voltage value at each moment and the capacity at each moment;
and respectively carrying out smooth filtering treatment on the first initial voltage relaxation curve and the second initial voltage relaxation curve to obtain the first voltage relaxation curve and the second voltage relaxation curve.
According to a second aspect of the present disclosure, there is provided an embodiment of an electronic device, comprising:
a memory for storing executable instructions;
a processor for executing the method according to the first aspect of the disclosure according to the control of the instruction.
According to a third aspect of the present disclosure, there is also provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method according to the first aspect of the present disclosure.
The method has the advantages that according to the lithium iron phosphate battery pack to be detected, a first inflection point reflecting mutation of the highest voltage and a second inflection point reflecting mutation of the lowest voltage in the charging process of the battery pack are obtained according to a first voltage relaxation curve and a second voltage relaxation curve which are respectively reflected in a first voltage relaxation curve and a second voltage relaxation curve of the highest voltage and the lowest voltage in a plurality of battery cores of the battery pack in the same capacity and change along with the capacity, and a target detection result indicating whether the battery pack has self-discharge abnormality in the actual use process can be timely and accurately obtained according to the position difference between the two inflection points.
Other features of the present specification and its advantages will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description, serve to explain the principles of the specification.
Fig. 1 is a schematic flow chart of a method for detecting abnormality of a lithium iron phosphate battery pack according to an embodiment of the present disclosure.
Fig. 2 is a schematic diagram of a first voltage relaxation curve and a second voltage relaxation curve provided by an embodiment of the present disclosure.
Fig. 3 is a schematic hardware structure of an electronic device according to an embodiment of the disclosure.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of exemplary embodiments may have different values.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
< method example >
In the related art, when performing self-discharge abnormality detection processing on a battery, a general method is to first stand the battery to be detected for a period of time under a set temperature, humidity and magnetic field to promote self-discharge of the battery, then demagnetize the battery and measure the internal resistance and open-circuit voltage of the battery, and perform self-discharge abnormality detection processing on the battery according to the internal resistance and open-circuit voltage. In addition, there is also a method of performing self-discharge abnormality detection processing on a battery by measuring an open circuit voltage after the end of battery charging and an open circuit voltage after high-temperature rest under constant voltage and constant current in the related art. Therefore, when the self-discharge abnormality detection processing is performed on the battery, the battery can be detected only at the production end, namely before the battery leaves the factory, and the battery is required to be placed for a long time in the mode, and the constant-voltage constant-current charge and discharge test is performed on the battery, so that the problem that the abnormality detection can not be performed on the battery timely and accurately in the whole life cycle of the battery exists in the self-discharge abnormality detection method for the battery.
In order to solve the above-mentioned problems, an embodiment of the present disclosure provides a method for detecting an abnormality of a lithium iron phosphate battery pack, please refer to fig. 1, which is a schematic flow chart of the method for detecting an abnormality of a lithium iron phosphate battery pack according to the embodiment of the present disclosure, and the method may be implemented in an electronic device, which may be a server, for example.
Note that, in the embodiment of the present disclosure, the battery pack to be detected refers to a lithium iron phosphate battery (LFP, lithium Iron Phosphate Battery), that is, an LFP lithium ion battery pack, and of course, the abnormality detection method may be applied to abnormality detection processing for other battery packs as needed, which is not particularly limited herein.
In the specific implementation, the battery pack to be detected can be a battery pack formed by connecting multiple battery cells in series or in parallel. The battery pack to be detected is taken as a plurality Of battery cells to be constructed in a serial manner for illustration, because for the same lithium battery constructed in the serial manner, the increment Of State Of Charge (SOC) in the alternating current charging process, namely delta SOC, is the same; on the other hand, for lithium ion batteries, the true SOC corresponding to the battery cell at the voltage inflection point is the same, so that the sequence of the voltage inflection points of the battery pack in the charging process represents the difference of the true SOCs, namely, the inflection point of the battery cell with abnormal self-discharge occurs at the latest.
As shown in fig. 1, the method of the present embodiment may include the following steps S1100-S1300, which are described in detail below.
Step S1100, obtaining a first voltage relaxation curve and a second voltage relaxation curve of a battery pack to be detected, where the battery pack includes a plurality of battery cells, and the first voltage relaxation curve and the second voltage relaxation curve are curves that reflect changes of a highest voltage and a lowest voltage in the plurality of battery cells along with a capacity under a same capacity in a process of charging the battery pack.
Specifically, in the embodiment of the disclosure, in the process of charging, for example, alternating-current charging, a battery pack to be detected may be obtained, where multiple battery cells have the same capacity at the same time, that is, a first voltage relaxation curve and a second voltage relaxation curve corresponding to the highest voltage and the lowest voltage in the multiple battery cells under the same battery capacity, respectively, so as to determine whether the battery has a self-discharge abnormality according to the difference between the positions of the first inflection point and the second inflection point by detecting and extracting a first inflection point and a second inflection point in the two curves, where the abrupt change degree of the voltage values meets a first preset condition and a second preset condition. In the following, first of all, a description is given of how the first voltage relaxation curve and the second voltage relaxation curve are obtained.
In one embodiment, the acquiring the first voltage relaxation curve and the second voltage relaxation curve of the battery pack to be detected includes: acquiring first alternating-current charging data corresponding to a battery pack, wherein the first alternating-current charging data comprise a current value, a highest voltage value, a lowest voltage value and an initial charge state of the battery pack at each moment in a charging process; a first voltage relaxation curve and a second voltage relaxation curve are obtained from the first alternating current charge data.
In this embodiment, the obtaining a first voltage relaxation curve and a second voltage relaxation curve from the first ac charging data includes: performing data cleaning processing on the first alternating-current charging data, and sequencing the first alternating-current charging data subjected to the data cleaning processing according to time sequence to obtain second alternating-current charging data; calculating the initial capacity of the battery pack at the initial moment according to the nominal capacity and the initial charge state of the battery pack; obtaining the capacity of the battery pack at each moment according to the current at each moment in the second alternating-current charging data and the initial capacity; a first voltage relaxation curve and a second voltage relaxation curve are obtained from the initial capacity, the highest voltage value at each time instant, the lowest voltage value at each time instant and the capacity at each time instant.
Specifically, in the embodiment of the disclosure, the first voltage relaxation curve and the second voltage relaxation curve can be obtained by sorting based on the ac charging data of the battery pack, which is obtained by the cloud platform, in the production end and the full life cycle of the use end, aiming at the problems that the existing method for detecting the self-discharge abnormality of the battery pack can only be used at the production end, that is, the battery pack is placed in a specific environment for a long time before leaving the factory of the battery pack, and then the steps are complicated and the time and accuracy are not enough when the test data obtained by performing constant voltage constant current charge and discharge on the battery pack are detected.
In this embodiment, the data cleaning process for the first ac charging data may be a process of removing abnormal data values in the first ac charging data due to various causes such as hardware failure, communication failure, and analysis error.
In addition, when the first ac charging data after the data cleaning process is sequenced, the first ac charging data may be sequenced in ascending order according to the data generating time, so as to obtain high-quality second ac charging data varying with time, and further obtain a first voltage relaxation curve and a second voltage relaxation curve according to the second ac charging data.
The calculating the initial capacity of the battery pack at the initial time according to the nominal capacity of the battery pack and the initial charge state may specifically be: multiplying the initial state of charge by the nominal capacity yields the initial capacity of the battery pack at the initial instant, i.e., instant t 0.
The obtaining the time capacity of the battery pack corresponding to each time according to the time current corresponding to each time in the second ac charging data and the initial capacity may specifically be: multiplying the current at the moment next to the initial moment, namely the moment corresponding to the moment t1 by the interval time between t1 and t0 to obtain the capacity increment of the moment t1 relative to the moment t0, and adding the initial capacity to the capacity increment to obtain the moment capacity of the battery pack at the moment t 1; then, sequentially calculating the capacity increment of the next time t2 of the battery pack after the time t1 relative to the time t1, and further obtaining the time capacity of the time t 2; and so on, the capacity of the battery pack at the corresponding moment of time at each moment can be obtained.
After the initial capacity of the battery pack and the highest voltage value, the lowest voltage value and the capacity of the battery pack at each moment are obtained according to the steps, the first voltage relaxation curve and the second voltage relaxation curve can be obtained in a sorting way.
It should be noted that, in the implementation, in order to improve the accuracy of the processing result, the obtaining the first voltage relaxation curve and the second voltage relaxation curve according to the initial capacity, the highest voltage value at each time, the lowest voltage value at each time, and the capacity at each time may further be: generating a first initial voltage relaxation curve and a second initial voltage relaxation curve according to the initial capacity, the highest voltage value at each moment, the lowest voltage value at each moment and the capacity at each moment; and respectively carrying out smoothing filtering treatment on the first initial voltage relaxation curve and the second initial voltage relaxation curve to obtain a first voltage relaxation curve and a second voltage relaxation curve.
Step S1200, obtaining a first inflection point corresponding to the first voltage relaxation curve, and obtaining a second inflection point corresponding to the second voltage relaxation curve, where the first inflection point is a peak point in the first voltage relaxation curve, where the mutation degree of the highest voltage value corresponds to the peak point satisfying a first preset condition, and the second inflection point is a peak point in the second voltage relaxation curve, where the mutation degree of the lowest voltage value corresponds to the peak point satisfying a second preset condition; and step S1300, performing self-discharge detection processing on the battery pack according to the first inflection point and the second inflection point to obtain a target detection result, wherein the target detection result indicates whether the self-discharge of the battery pack is abnormal or not.
Please refer to fig. 2, which is a schematic diagram of a first voltage relaxation curve and a second voltage relaxation curve provided by an embodiment of the present disclosure. As shown in fig. 2, in general, there are three regions with slower voltage changes in the curves of the highest voltage and the lowest voltage of the LFP lithium ion battery pack along with the capacity change, and these regions may be referred to as voltage plateau regions, and there is a region with faster voltage changes between every two voltage plateau regions, in which the voltage changes most rapidly, i.e. the point with the highest abrupt degree may be referred to as voltage inflection point, which is generally distinguished by voltage level, the point with higher voltage may be referred to as high voltage inflection point (HVTP, high Voltage Transition Point), and the point with lower voltage may be referred to as low voltage inflection point (LVTP, low Voltage Transition Point).
In an embodiment of the disclosure, if no special description is given, the first inflection point may be a high voltage inflection point in the first voltage relaxation curve, that is, an HVTP corresponding to the first voltage relaxation curve, and the second inflection point includes a first sub-inflection point and a second sub-inflection point, where the two sub-inflection points may be a low voltage inflection point and a high voltage inflection point corresponding to the second voltage relaxation curve, that is, an LVTP and an HVTP corresponding to the second voltage relaxation curve.
The following describes how to obtain the first inflection point and the second inflection point.
In one embodiment, the acquiring a first inflection point corresponding to the first voltage relaxation curve and acquiring a second inflection point corresponding to the second voltage relaxation curve includes: obtaining a first voltage differential capacity curve by carrying out differential processing on the highest voltage value and capacity at each point in the first voltage relaxation curve; obtaining a second voltage differential capacity curve by carrying out differential processing on the lowest voltage value and capacity at each point in the second voltage relaxation curve; and obtaining the first inflection point according to the first voltage differential capacity curve, and obtaining the second inflection point according to the second voltage differential capacity curve.
Specifically, the formula d can be passed first V /d Q Differential processing the voltage and the capacity at each point in the first voltage relaxation curve and the second voltage relaxation curve to obtain a first voltage differential capacity curve and a second voltage differential capacity curve, wherein d V Representing the voltage difference at each point in the corresponding curve, d Q Representing the difference in capacity at each point in the corresponding curve.
After the first voltage differential capacity curve and the second voltage differential capacity curve are obtained, the second highest peak point in the first voltage differential capacity curve can be taken as the first inflection point, namely, the highest voltage V of the battery pack max Peak points corresponding to HVTP; taking the first high peak point in the second voltage differential capacity curve as the first sub-inflection point in the second inflection point, namely the lowest voltage V of the battery pack min A peak point corresponding to LVTP; and taking a second high peak point in the second voltage differential capacity curve as a second sub-inflection point in the second inflection point, namely the lowest voltage V of the battery min Peak points corresponding to HVTP.
After obtaining the first inflection point and the second inflection point, in an embodiment of the present disclosure, the performing a self-discharge detection process on the battery pack according to the first inflection point and the second inflection point to obtain a target detection result includes: acquiring an absolute value of a difference between a first capacity at the first inflection point and a second capacity at the first sub-inflection point as a first capacity difference; acquiring an absolute value of a difference between the first capacity and a third capacity at the second sub-inflection point as a second capacity difference; and performing self-discharge detection processing on the battery pack according to at least one of the first capacity difference value and the second capacity difference value to obtain the target detection result.
By Q 1 Represents a first capacity, in terms of Q 2 Represents a second capacity, in terms of Q 3 Represents a third capacity, expressed as DeltaQ 1 Representing the first capacity difference in DeltaQ 2 Representing the second capacity difference, the second capacity difference may be represented by the formula Δq, respectively 1 ＝|Q 2 -Q 1 |、ΔQ 2 ＝|Q 3 -Q 1 The calculation yields the aboveA first capacity difference and a second capacity difference.
After the first capacity difference value and the second capacity difference value are obtained through the steps, the self-discharge detection processing is performed on the battery pack according to at least one of the first capacity difference value and the second capacity difference value, so as to obtain a target detection result, which may be: setting a target detection result as information representing the self-discharge abnormality of the battery pack under the condition that the first capacity difference value is not greater than a first preset threshold value and/or the second capacity difference value is not less than a second preset threshold value; and, the target detection result may be set as information indicating that the self-discharge of the battery pack is normal, in a case where the first capacity difference value is greater than the first preset threshold value and the second capacity difference value is less than the second preset threshold value.
Specifically, Δq 1 Representing the first capacity difference in DeltaQ 2 Representing the second capacity difference, representing the first preset threshold corresponding to the first capacity difference by th1, representing the second preset threshold corresponding to the second capacity difference by th2, may be represented by Δq 1 ≤th1 orΔQ 2 Under the condition that the self-discharge of the battery is not less than th2, determining that the self-discharge of the battery is abnormal; and, at DeltaQ 1 >th1 orΔQ 2 <th2, it is determined that the battery is self-discharging normally.
In the above description, the first inflection point is taken as an example of the high voltage inflection point in the first voltage relaxation curve, that is, the second high peak point HVTP corresponding to the first voltage relaxation curve. In an embodiment, to improve accuracy of the determination result, the first inflection point may also include a third sub-inflection point and a fourth sub-inflection point, where the third sub-inflection point may be a low voltage inflection point in the first voltage relaxation curve, that is, a first high peak point LVTP corresponding to the first voltage relaxation curve, and the fourth sub-inflection point may still be a high voltage inflection point in the first voltage relaxation curve, that is, a second high peak point HVTP corresponding to the first voltage relaxation curve; in the self-discharge abnormality detection processing of the battery pack according to the first inflection point and the second inflection point, in addition to the first capacity difference and the second capacity difference obtained by calculating the absolute value of the difference between the first capacity and the second capacity and the third capacity at the fourth sub inflection point, the absolute value of the difference between the fourth capacity and the second capacity and the third capacity at the third sub inflection point may be obtained to obtain a third capacity difference and a fourth capacity difference, respectively, and the self-discharge abnormality detection processing of the battery pack may be performed according to at least one of the first capacity difference, the second capacity difference, the third capacity difference and the fourth capacity difference. In addition, in another embodiment of the present application, after obtaining the absolute values of the difference between the fourth capacity at the third sub-inflection point and the second capacity and the third capacity to obtain the third capacity difference and the fourth capacity difference, respectively, the self-discharge detection process is performed on the battery pack according to at least one of the third capacity difference and the fourth capacity difference to obtain the target detection result, which may be: setting a target detection result as information representing the self-discharge abnormality of the battery pack under the condition that the third capacity difference value is not smaller than a third preset threshold value and/or the fourth capacity difference value is not larger than a fourth preset threshold value; and, in the case where the third capacity difference value is smaller than the third preset threshold value and the fourth capacity difference value is larger than the fourth preset threshold value, setting the target detection result as information indicating that the self-discharge of the battery pack is normal.
The above describes in detail how the self-discharge abnormality detection process is performed on the battery pack according to the first inflection point and the second inflection point. In one embodiment of the present disclosure, the self-discharge detection process may be further performed on the battery pack according to the first inflection point and the second inflection point based on the following steps to obtain the target detection result: acquiring a state of charge deviation value corresponding to the battery pack at a first inflection point and/or a second inflection point, wherein the state of charge deviation value represents the deviation degree between the actual state of charge of the battery pack at the corresponding inflection point and an estimated state of charge, and the estimated state of charge is a value of the state of charge of the battery obtained through estimation at the inflection point; and setting a target detection result as information representing the self-discharge abnormality of the battery pack under the condition that the state of charge deviation value is not smaller than a preset deviation threshold value.
It should be noted that the state of charge deviation value may be directly an SOC value of the battery pack, and in this case, the preset deviation threshold may correspond to the state of charge deviation threshold. Of course, in the implementation of this embodiment, after the state of charge deviation value is obtained, the initial capacity of the battery pack at the initial time may be multiplied by the state of charge deviation value to obtain the capacity deviation value corresponding to the battery pack at the corresponding inflection point, and then the preset deviation threshold may be corresponding to the capacity deviation threshold.
In this embodiment, the state of charge deviation value of the battery pack at the first inflection point and/or at the second inflection point may be obtained by: acquiring a voltage state-of-charge relaxation curve corresponding to a battery pack, wherein the voltage state-of-charge relaxation curve is a curve reflecting the corresponding relationship between the state-of-charge of the battery pack and an open-circuit voltage; performing differential processing on the voltage state-of-charge relaxation curve to obtain a voltage differential state-of-charge curve; obtaining an estimated state of charge according to the voltage differential state of charge curve; obtaining an actual state of charge according to a corresponding capacity of the battery pack at the first inflection point and/or at the second inflection point and a nominal capacity of the battery; an absolute value of a difference between the actual state of charge and the estimated state of charge is obtained as the state of charge deviation value.
Specifically, ΔSOC may be respectively 1 、ΔSOC 2 And delta SOC 3 Representing first, second, and third state of charge bias values of the battery pack at the first inflection point, at the first sub-inflection point of the second inflection point, and at the second sub-inflection point of the second inflection point, respectively; the actual state of charge of the battery pack at the first inflection point can be obtained by the following formula: first actual state of charge=first capacity/battery nominal capacity, second actual state of charge=second capacity/battery nominal capacity, third actual state of charge=third capacity/battery nominal capacity.
The estimated inflection points respectively corresponding to the first inflection point, the first sub-inflection point of the second inflection point and the second sub-inflection point of the second inflection point of the battery pack, or the first estimated state of charge, the second estimated state of charge and the third estimated state of charge at the theoretical inflection point can be obtained through the voltage state of charge relaxation curves respectively corresponding to the first inflection point, the second inflection point and the second sub-inflection point of the second inflection point.
Specifically, in this embodiment, the voltage state-of-charge relaxation curves may include a first voltage state-of-charge sub-relaxation curve and a second voltage state-of-charge sub-relaxation curve, respectively, where the first voltage state-of-charge sub-relaxation curve may be a curve reflecting a correspondence between a state of charge of the battery pack and a highest open-circuit voltage, and the second voltage state-of-charge sub-relaxation curve may be a curve reflecting a correspondence between a state of charge of the battery pack and a lowest open-circuit voltage; the first estimated state of charge, the second estimated state of charge and the third estimated state of charge can be obtained by performing differential processing on the first voltage state of charge sub-relaxation curve and the second voltage state of charge sub-relaxation curve respectively, and according to inflection point data in the corresponding obtained first voltage differential state of charge sub-relaxation curve and second voltage differential state of charge sub-relaxation curve. For example, the first estimated state of charge may be a high voltage inflection point in the first voltage differential state of charge sub-relaxation curve, i.e. the corresponding state of charge at HVTP, the second estimated state of charge may be a low voltage inflection point in the second voltage differential state of charge sub-relaxation curve, i.e. the corresponding state of charge at LVTP, and the third estimated state of charge may be a high voltage inflection point in the second voltage differential state of charge sub-relaxation curve, i.e. the corresponding state of charge at HVTP.
After obtaining the first state of charge deviation value, the second state of charge deviation value and the third state of charge deviation value, and the first estimated state of charge, the second estimated state of charge and the third estimated state of charge, delta SOC can be obtained by calculating the absolute value of the difference between each actual state of charge and the corresponding estimated state of charge 1 、ΔSOC 2 And delta SOC 3 。
After the above processing, ΔSOC is obtained 1 、ΔSOC 2 And delta SOC 3 And then, by comparing the magnitude relation between the self-discharge abnormality and the corresponding preset deviation threshold value, whether the self-discharge abnormality exists in the battery pack or not can be determined. Specifically, the preset deviation threshold may include a third preset threshold th3 and a fourth preset threshold corresponding to the three state of charge deviation thresholds, respectivelyThreshold th4 and fifth preset threshold th5, by comparing ΔSOC 1 And th3, delta SOC 2 And th4 and ΔSOC 3 The magnitude relation with th5, i.e., whether the battery pack has a self-discharge abnormality or not. Of course, in the specific implementation, the ΔSOC may be used 1 、ΔSOC 2 And delta SOC 3 Determining whether the battery pack has a self-discharge abnormality according to the magnitude relation between at least one of the battery pack and the corresponding preset deviation threshold value; or, the first inflection point may also include a third sub-inflection point and a fourth sub-inflection point, where the third sub-inflection point may be a low voltage inflection point in the first voltage relaxation curve, that is, an LVTP corresponding to the first voltage relaxation curve, and the fourth sub-inflection point may still be a high voltage inflection point in the first voltage relaxation curve, and then the self-discharge abnormality detection processing may be performed on the battery pack according to at least one of the charge state deviation values corresponding to the first sub-inflection point, the second sub-inflection point, the third sub-inflection point, and the fourth sub-inflection point, where detailed processing procedures are not repeated herein.
In the specific implementation, the self-discharge abnormality detection processing may be performed on the battery pack according to at least one of the above embodiments for self-discharge detection of the battery pack, which is not particularly limited herein.
In summary, according to the method for detecting the abnormality of the lithium iron phosphate battery pack provided by the embodiments of the present disclosure, for the lithium iron phosphate battery pack to be detected, by acquiring the first voltage relaxation curve and the second voltage relaxation curve, which respectively reflect the changes of the highest voltage and the lowest voltage along with the changes of the capacities, in the multiple battery cores of the battery pack under the same capacity at the same moment in the process of charging the battery pack, according to the first voltage relaxation curve and the second voltage relaxation curve, the first inflection point reflecting the abrupt change of the highest voltage and the second inflection point reflecting the abrupt change of the lowest voltage of the battery pack in the process of charging the battery pack are obtained, and according to the position difference between the two inflection points, the target detection result indicating whether the battery pack has the self-discharge abnormality in the actual use process can be timely and accurately obtained.
< device example >
In this embodiment, referring to fig. 3, a schematic structural diagram of an electronic device is provided.
As shown in fig. 3, the electronic device 3000 may include a processor 3200 and a memory 3100, the memory 3100 for storing executable instructions; the processor 3200 is configured to run the electronic device according to control of instructions to perform a method according to any embodiment of the present disclosure.
< example of Medium >
In correspondence with the method embodiments described above, the present embodiment also provides a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements the method described in any of the method embodiments of the present disclosure.
One or more embodiments of the present description may be a system, method, and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement aspects of the present description.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of embodiments of the present description may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present description are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer-readable program instructions, which may execute the computer-readable program instructions.
Various aspects of the present description are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present description. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are all equivalent.
The embodiments of the present specification have been described above, and the above description is illustrative, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the application is defined by the appended claims.
Claims (11)
1. The method for detecting the abnormality of the lithium iron phosphate battery pack is characterized by comprising the following steps of:
acquiring a first voltage relaxation curve and a second voltage relaxation curve of a battery pack to be detected, wherein the battery pack comprises a plurality of battery cells, and the first voltage relaxation curve and the second voltage relaxation curve are curves reflecting the change of the highest voltage and the lowest voltage in the plurality of battery cells along with the capacity under the same capacity in the process of charging the battery pack;
acquiring a first inflection point corresponding to the first voltage relaxation curve and a second inflection point corresponding to the second voltage relaxation curve, wherein the first inflection point is a peak point in the first voltage relaxation curve, the mutation degree of which corresponds to the highest voltage value meets a first preset condition, and the second inflection point is a peak point in the second voltage relaxation curve, the mutation degree of which corresponds to the lowest voltage value meets a second preset condition;
And performing self-discharge detection processing on the battery pack according to the first inflection point and the second inflection point to obtain a target detection result, wherein the target detection result indicates whether the self-discharge of the battery pack is abnormal or not.
2. The method of claim 1, wherein the acquiring a first inflection point corresponding to the first voltage relaxation curve and acquiring a second inflection point corresponding to the second voltage relaxation curve comprises:
obtaining a first voltage differential capacity curve by carrying out differential processing on the highest voltage value and capacity at each point in the first voltage relaxation curve;
obtaining a second voltage differential capacity curve by carrying out differential processing on the lowest voltage value and capacity at each point in the second voltage relaxation curve;
and obtaining the first inflection point according to the first voltage differential capacity curve, and obtaining the second inflection point according to the second voltage differential capacity curve.
3. The method of claim 2, wherein the first inflection point comprises a second high peak point in the first voltage differential capacity curve;
the second inflection point comprises a first sub-inflection point and a second sub-inflection point, wherein the first sub-inflection point is a first high peak point in the second voltage differential capacity curve, and the second sub-inflection point is a second high peak point in the second voltage differential capacity curve;
And performing self-discharge detection processing on the battery pack according to the first inflection point and the second inflection point to obtain a target detection result, wherein the self-discharge detection processing comprises the following steps:
acquiring an absolute value of a difference between a first capacity at the first inflection point and a second capacity at the first sub-inflection point as a first capacity difference; acquiring an absolute value of a difference between the first capacity and a third capacity at the second sub-inflection point as a second capacity difference;
and performing self-discharge detection processing on the battery pack according to at least one of the first capacity difference value and the second capacity difference value to obtain the target detection result.
4. The method of claim 3, wherein the performing a self-discharge detection process on the battery pack according to at least one of the first capacity difference value and the second capacity difference value to obtain the target detection result comprises:
and setting the target detection result as information representing the self-discharge abnormality of the battery pack under the condition that the first capacity difference value is not larger than a first preset threshold value and/or the second capacity difference value is not smaller than a second preset threshold value.
5. The method of claim 2, wherein the performing a self-discharge detection process on the battery pack according to the first inflection point and the second inflection point to obtain a target detection result, further comprises:
Acquiring a state of charge deviation value of the battery pack at the first inflection point and/or the second inflection point, wherein the state of charge deviation value represents the deviation degree between the actual state of charge of the battery pack at the corresponding inflection point and an estimated state of charge, and the estimated state of charge is a value of the estimated state of charge of the battery at the inflection point;
and setting the target detection result as information representing the self-discharge abnormality of the battery pack under the condition that the state of charge deviation value is not smaller than a preset deviation threshold value.
6. The method of claim 5, wherein the obtaining a state of charge deviation value of the battery pack at the first inflection point and/or at the second inflection point comprises:
acquiring a voltage state-of-charge relaxation curve corresponding to the battery pack, wherein the voltage state-of-charge relaxation curve is a curve reflecting the corresponding relation between the state of charge of the battery pack and an open circuit voltage;
performing differential processing on the voltage state-of-charge relaxation curve to obtain a voltage differential state-of-charge curve;
obtaining the estimated state of charge according to the voltage differential state of charge curve;
Obtaining the actual state of charge according to the corresponding capacity of the battery pack at the first inflection point and/or the second inflection point and the nominal capacity of the battery pack;
and acquiring an absolute value of a difference value between the actual state of charge and the estimated state of charge as the state of charge deviation value.
7. The method of claim 1, wherein the acquiring the first voltage relaxation curve and the second voltage relaxation curve of the battery pack to be detected comprises:
acquiring first alternating-current charging data corresponding to the battery pack, wherein the first alternating-current charging data comprises a current value, a highest voltage value, a lowest voltage value and an initial charge state of the battery pack at each moment in a charging process;
and obtaining the first voltage relaxation curve and the second voltage relaxation curve according to the first alternating current charging data.
8. The method of claim 7, wherein the obtaining the first voltage relaxation curve and the second voltage relaxation curve from the first ac charging data comprises:
performing data cleaning processing on the first alternating-current charging data, and sequencing the first alternating-current charging data subjected to the data cleaning processing according to time sequence to obtain second alternating-current charging data;
Calculating the initial capacity of the battery pack at the initial moment according to the nominal capacity of the battery pack and the initial charge state;
obtaining a capacity of the battery pack at each time according to the initial capacity and the current at each time in the second alternating-current charging data;
and obtaining the first voltage relaxation curve and the second voltage relaxation curve according to the initial capacity, the highest voltage value at each moment, the lowest voltage value at each moment and the capacity at each moment.
9. The method of claim 8, wherein said obtaining said first voltage relaxation curve and said second voltage relaxation curve from said initial capacity, said highest voltage value at each time instant, said lowest voltage value at each time instant, and said capacity at each time instant comprises:
generating a first initial voltage relaxation curve and a second initial voltage relaxation curve according to the initial capacity, the highest voltage value at each moment, the lowest voltage value at each moment and the capacity at each moment;
and respectively carrying out smooth filtering treatment on the first initial voltage relaxation curve and the second initial voltage relaxation curve to obtain the first voltage relaxation curve and the second voltage relaxation curve.
10. An electronic device, comprising:
a memory for storing executable instructions;
a processor for executing the method according to any of claims 1-9, operating the electronic device according to the control of the instructions.
11. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method according to any of claims 1-9.
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