CN114487886B - Battery core flatulence detection method and device, battery management system and electronic equipment - Google Patents
Battery core flatulence detection method and device, battery management system and electronic equipment Download PDFInfo
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Abstract
The application specifically relates to a method and a device for detecting battery core flatulence, a battery management system and electronic equipment, and belongs to the technical field of batteries. The battery core flatulence detection method comprises the following steps: when the temperature of the battery cell is within a preset temperature range, acquiring a passive internal resistance Rcp value of the battery cell at a specific SOC; and detecting the inflation condition of the battery cell based on the obtained Rcp value and a preset rule. The negative internal resistance (the direct current internal resistance for eliminating concentration polarization) Rcp value of the battery cell in the using process is detected, and the gas expansion condition of the battery cell is detected, so that the online detection of the gas expansion condition of the battery cell can be realized without additionally adding a sensor, and the battery compartment of the equipment is not required to be purposefully designed to contain hardware required by gas expansion detection due to the fact that the sensor is not additionally added. Meanwhile, during detection, the passive internal resistance of the battery cell is obtained, so that the influence of concentration polarization is eliminated, and the accuracy of a detection result can be improved.
Description
Technical Field
The application belongs to the technical field of batteries, and particularly relates to a battery core flatulence detection method and device, a battery management system and electronic equipment.
Background
The flatulence is a common failure mode of the battery core, the electrical property of the battery core is greatly reduced due to the flatulence of the battery core, the service life of the theoretical period of the battery core is greatly shortened, and therefore the flatulence state of the battery core in the use process needs to be monitored.
The current online monitoring scheme for the battery core flatulence mainly comprises the steps that a deformation sensor or a pressure sensor is additionally arranged on the surface of a battery core, and the battery core flatulence condition is fed back through signals of a physical sensor. However, this solution requires additional hardware, which increases hardware cost on the one hand, and requires a specific design of the battery compartment of the device to accommodate the hardware required for the flatulence detection on the other hand. For consumer products such as mobile phones and computers, the monitoring scheme using the physical sensor cannot be used generally due to the compact size and the limited reserved space of the battery compartment.
Disclosure of Invention
In view of this, an object of the present application is to provide a method and an apparatus for detecting cell inflation, a battery management system, and an electronic device, so as to solve the problem that in the existing online cell inflation monitoring scheme, besides the hardware cost needs to be increased, a battery compartment of the device needs to be specifically designed to accommodate hardware required for inflation detection.
The embodiment of the application is realized as follows:
in a first aspect, an embodiment of the present application provides a method for detecting a cell inflation, including: when the temperature of the battery cell is within a preset temperature range, acquiring a passive internal resistance Rcp value of the battery cell at a specific SOC; and detecting the inflation condition of the battery cell based on the obtained Rcp value and a preset rule.
In the embodiment of the application, the inventor discovers that the battery core is inflated when the battery core is researched, the ion movement and the charge transfer process are influenced by the existence of gas between battery core interfaces, so that the direct-current internal resistance of the battery core is increased, and the inflation condition of the battery core can be detected by detecting the increase of the direct-current internal resistance of the battery core caused by the inflation in the use process. Meanwhile, during detection, the passive internal resistance of the battery cell is obtained, so that the influence of concentration polarization is eliminated, and the accuracy of a detection result can be improved.
With reference to a possible implementation manner of the embodiment of the first aspect, the preset rule includes an IMR single-value control chart, and each single value on the IMR single-value control chart represents one Rcp value; detecting the flatulence condition of the battery cell based on the obtained Rcp value and a preset rule, wherein the method comprises the following steps: comparing the obtained Rcp value with a UCL value in the IMR single-value control chart to detect the flatulence condition of the battery core; and if the obtained Rcp value is not less than the UCL value in the IMR single-value control chart, indicating that the battery core has the flatulence.
In the embodiment of the application, the acquired Rcp value is compared with the UCL value in the IMR single-value control chart, so that the flatulence condition of the battery cell can be detected quickly.
With reference to a possible implementation manner of the embodiment of the first aspect, if the obtained Rcp value is smaller than the UCL value in the IMR single-value control map, the method further includes: and updating the IMR single-value control chart based on the acquired Rcp value.
In the embodiment of the application, if the obtained Rcp value is smaller than the UCL value in the IMR single-value control chart, the IMR single-value control chart is updated based on the obtained Rcp value, so that the threshold value (namely UCL) of the flatulence alarm can be adaptively adjusted according to the Rcp value of the individual battery cell, and the alarm misjudgment caused by the individual difference of the battery cells is avoided.
With reference to a possible implementation manner of the embodiment of the first aspect, the preset rule includes a first curve representing a corresponding relationship between an Rcp value and an inflation coefficient of the battery cell; detecting the flatulence condition of the battery cell based on the obtained Rcp value and a preset rule, wherein the method comprises the following steps: based on the first curve, searching for an inflation coefficient corresponding to the obtained Rcp value; comparing the inflation coefficient corresponding to the Rcp value with a preset threshold value to detect the inflation condition of the battery core; and if the inflation coefficient corresponding to the Rcp value is larger than the preset threshold value, indicating that the electric core has the inflation.
In the embodiment of the application, based on the first curve representing the corresponding relationship between the Rcp value of the battery cell and the inflation coefficient, the inflation coefficient corresponding to the acquired Rcp value is searched, and the inflation condition of the battery cell is detected, so that the detection of the inflation condition of the battery cell can be quickly realized.
With reference to a possible implementation manner of the embodiment of the first aspect, before searching for the inflation coefficient corresponding to the obtained Rcp value based on the first curve, the method further includes: the method comprises the steps that when the number of times of current stimulation on a specified battery cell periodically reaches a specified period number, the flatulence coefficient of the specified battery cell is obtained, and the Rcp value of the specified battery cell at a specific SOC is obtained; the SOC of the specified battery cell is consistent when the Rcp value is acquired each time; obtaining a second curve representing the corresponding relation between the periodicity and the Rcp value based on the obtained Rcp values corresponding to the multiple specified periodicities; obtaining a third curve representing the corresponding relation between the periodicity and the inflation coefficient based on the acquired inflation coefficients corresponding to the multiple specified periodicities; and carrying out correlation processing on the second curve and the third curve to obtain the first curve.
In the embodiment of the application, the electric core is inflated by performing current stimulation on the specified electric core, the inflation coefficient and the Rcp value of the specified electric core are obtained, and the first curve representing the corresponding relation between the Rcp value and the inflation coefficient of the electric core is obtained, so that the inflation coefficient corresponding to the Rcp value is searched and obtained based on the first curve in the subsequent application, the detection of the inflation condition of the electric core can be realized, and the operation is very convenient and fast; meanwhile, each time the passive internal resistance Rcp value of the battery cell is obtained, the passive internal resistance Rcp value is obtained at the same SOC, for example, the passive internal resistance Rcp value is obtained at the time of specifying 50% SOC of the battery cell, so that errors caused by different SOCs when the Rcp values are obtained at each time can be avoided, and the accuracy is improved.
With reference to one possible implementation manner of the embodiment of the first aspect, the step of periodically performing current stimulation on the specific electric core includes: periodically charging and discharging the specified battery cell, wherein the charging and discharging of the specified battery cell every time comprises the following steps: charging the specified cell to a first specified SOC at a first threshold current; and after the battery is kept still for a first specified time, discharging the specified battery cell to a second specified SOC by using current of a second threshold value, wherein the first specified SOC is greater than the second specified SOC.
In the embodiment of the application, the designated battery cell is periodically charged and discharged, so that the battery cell is stimulated, the designated battery cell can be rapidly inflated, the inflation coefficient and the Rcp value of the designated battery cell can be conveniently obtained, and a first curve representing the corresponding relation between the Rcp value and the inflation coefficient of the battery cell is obtained.
With reference to one possible implementation manner of the embodiment of the first aspect, the first threshold is greater than the second threshold.
In the embodiment of the application, the actual use scene of the battery is truly simulated in a fast charging and slow discharging mode, so that the detection accuracy can be improved.
With reference to one possible implementation manner of the embodiment of the first aspect, the obtaining a passive internal resistance Rcp value of the battery cell at a specific SOC includes: discharging the cell to a particular SOC at a current of a third threshold; after standing for a second specified time, discharging the battery cell for a preset time with a current of a fourth threshold value; respectively acquiring the voltages of the battery cell at a first moment and a second moment after the preset duration; and obtaining a passive internal resistance Rcp value of the battery cell at a specific SOC based on the voltage at the first moment, the voltage at the second moment and the current of the fourth threshold.
In the embodiment of the application, the passive internal resistance Rcp value of the battery cell at the specific SOC is obtained by adopting the mode, so that the influence of concentration polarization can be eliminated as much as possible, and the detection result is more accurate.
With reference to a possible implementation manner of the embodiment of the first aspect, the specific SOC is any one of 40% to 90% of a remaining capacity of the battery cell.
In the embodiment of the application, in the 40-90% SOC interval, the direct current internal resistance DCR of the battery is a bathtub curve relative to the change curve of the SOC, and is insensitive relative to the DCR with low SOC and high SOC, the fluctuation is small (almost no fluctuation), and the linear correlation between the DCR and the inflation coefficient (spinning) is good at the moment, so that the inflation condition of the battery core is detected by obtaining the negative internal resistance Rcp value of the battery core at the 40-90% SOC, and the detection accuracy can be improved.
In a second aspect, an embodiment of the present application further provides an electric core flatulence detection apparatus, including: the device comprises an acquisition module and a detection module; the acquisition module is used for acquiring a passive internal resistance Rcp value of the battery cell at a specific SOC when the temperature of the battery cell is within a preset temperature range; and the detection module is used for detecting the flatulence condition of the battery cell based on the acquired Rcp value and a preset rule.
In a third aspect, an embodiment of the present application further provides a battery management system, which is connected to a battery, where the battery includes at least one battery cell, and the battery management system is configured to execute the method for detecting cell swelling, provided in the foregoing first aspect and/or in combination with any possible implementation manner of the first aspect.
In a fourth aspect, an embodiment of the present application further provides an electronic device, including: the battery comprises a body, a battery management system and a battery connected with the battery management system, wherein the battery comprises at least one battery cell; the battery is used for supplying power to the body; the battery management system is configured to perform the cell inflation detection method according to the embodiment of the first aspect and/or any possible implementation manner of the embodiment of the first aspect.
In a fifth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, executes the method for detecting cell swelling provided in the foregoing first aspect and/or in combination with any one of the possible implementation manners of the first aspect.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts. The foregoing and other objects, features and advantages of the application will be apparent from the accompanying drawings. Like reference numerals refer to like parts throughout the drawings. The drawings are not intended to be to scale as practical, emphasis instead being placed upon illustrating the subject matter of the present application.
Fig. 1 shows a schematic flow chart of a cell inflation detection method provided by an embodiment of the present application.
Fig. 2 is a schematic diagram illustrating an IMR control map generated based on Rcp values acquired in the previous 5 times according to an embodiment of the present application.
Fig. 3 is a schematic diagram illustrating an IMR control map generated based on Rcp values acquired in the previous 6 times according to an embodiment of the present application.
FIG. 4 is a diagram illustrating a second curve representing a relationship between a Cycle number (Cycle No) and an Rcp value according to an embodiment of the present application.
Fig. 5 is a schematic diagram illustrating a third curve representing a correspondence relationship between a Cycle number (Cycle No) and a Swelling coefficient (Swelling) according to an embodiment of the present application.
Fig. 6 illustrates a schematic diagram of a first curve obtained by performing correlation processing on the second curve in fig. 4 and the third curve in fig. 5 according to an embodiment of the present disclosure.
FIG. 7 is a diagram illustrating a second curve representing a relationship between a Cycle number (Cycle No) and an Rcp value according to an embodiment of the present application.
Fig. 8 is a diagram illustrating a third curve representing a relationship between a Cycle number (Cycle No) and a Swelling coefficient (Swelling) according to an embodiment of the present application.
Fig. 9 illustrates a schematic diagram of a first curve obtained by performing a correlation process on the second curve in fig. 7 and the third curve in fig. 8 according to an embodiment of the present disclosure.
Fig. 10 shows a module schematic diagram of a cell inflation detection apparatus provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, relational terms such as "first," "second," and the like may be used solely in the description herein to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Further, the term "and/or" in the present application is only one kind of association relationship describing the associated object, and means that three kinds of relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone.
In view of the defects of the existing on-line monitoring scheme for cell inflation, for example, besides the need of increasing hardware cost, a battery compartment of the device needs to be designed specifically to accommodate hardware required for inflation detection. For consumer products such as mobile phones and computers, the current online monitoring scheme for battery core flatulence cannot be applied to the scene due to the compact size and the limited reserved space of the battery bin.
Based on this, the embodiment of the application provides a method for detecting the swelling of the battery cell, which can realize the online detection of the swelling condition of the battery cell without additionally adding a sensor. When the battery core is inflated, the ion movement and charge transfer process is influenced by the existence of gas between battery core interfaces, so that the direct Current internal Resistance (DCR) of the battery core is increased, and the inflation condition of the battery core can be detected by detecting the increase of the direct Current internal Resistance caused by the inflation of the battery core in the using process.
The depolarization internal resistance refers to: eliminating the DC internal resistance of concentration polarization. The electrolyte of the battery has concentration polarization because the electrochemical reaction is fast and the electrolyte of the electrolyte has no time to transfer, and the negative polarization is to eliminate the concentration polarization. The direct current internal resistance refers to: the ratio of the change in voltage of the cell to the corresponding change in discharge current under operating conditions.
A method for detecting cell swelling according to an embodiment of the present disclosure will be described with reference to fig. 1. The cell flatulence detection method comprises the following steps:
s1: and acquiring a passive internal resistance Rcp value of the battery cell at a specific SOC.
The battery can be formed by matching the battery core with a protection circuit board and packaging the battery core with a shell. The battery core is used as a component of the battery and is a core component of the battery and is responsible for providing power. The quality of the battery cell directly determines the quality of the battery, and therefore, the flatulence condition of the battery cell needs to be detected in real time in the use process.
The execution main body of the embodiment of the application may be a Battery Management System (BMS), and the BMS may manage the Battery, for example, may manage various parameters of the Battery, such as voltage, Current, temperature, direct Current internal Resistance (DCR), and may also manage a Battery charging and discharging process. The battery management system may be electrically connected to the battery. When the gas expansion condition of the battery cell needs to be detected, the battery management system may acquire a passive internal resistance Rcp value of the battery cell at a specific SOC (State of Charge).
The passive internal resistance Rcp value of the cell at the specific SOC may be obtained periodically or aperiodically, for example, the passive internal resistance Rcp value of the cell at the specific SOC may be obtained at preset intervals, so as to detect the gas expansion condition of the cell.
In an alternative embodiment, the process of obtaining the passive internal resistance Rcp value of the cell at a specific SOC (e.g., between 0% and 100% SOC but excluding 0% SOC and 100% SOC) may be: discharging the battery cell to a specific SOC (state of charge) by using the current of the third threshold, discharging the battery cell for a preset time by using the current of the fourth threshold after standing for a second specified time, respectively acquiring the voltages of the battery cell at a first moment and a second moment after the preset time, and based on the voltage of the battery cell at the first moment and the voltage of the battery cell at the second momentAnd obtaining the passive internal resistance Rcp value of the battery cell at the specific SOC by the voltage at the first moment, the voltage at the second moment and the current of the fourth threshold value. For better understanding, the following description will be made by way of example, in which the cell is discharged to 50% SOC with a constant current of 0.5C (C represents coulomb, which is a unit representing the amount of charge, and 1 coulomb =1 ampere.s), the cell is discharged with a constant current of 2C for 10 seconds after being left for 300 seconds, and the voltage at the time of being left for 1 second and the voltage at the time of being left for 300 seconds are obtained after being discharged for 10 seconds, and the passive internal resistance Rcp value is calculated based on the obtained values. If using V 1s Voltage at 1 second of standing is shown as V 300s Voltage at 300 seconds of standing is represented by I 4 Current representing the fourth threshold, then Rcp = (V) 300s – V 1s )/I 4 。
It should be noted that the specific values in the above example, such as the specific SOC being 50% SOC, the second specific time being 300 seconds, the third threshold being 0.5C, the fourth threshold being 2C, the first time being the time when the cell is left standing for 1 second after being discharged for 10 seconds by the current of 2C, and the second time being the time when the cell is left standing for 300 seconds after being discharged for 10 seconds by the current of 2C, cannot be understood as a limitation to the present application. That is, the specified SOC may be an SOC having other values than the 50% SOC, for example, any SOC between 0% and 100% SOC. Similarly, the second designated time period is not limited to 300 seconds, the third threshold and the fourth threshold are not limited to 0.5C and 2C, and the third threshold and the fourth threshold may be any current between 0.5C and 2C, wherein the third threshold is smaller than the fourth threshold. Likewise, the first time and the second time are not limited to the rest 1 second and the rest 300 seconds, and therefore, the specific values in the above examples are not to be construed as limiting the present application.
In the embodiment of the present application, the specific SOC may be (0%, 100%), that is, any value of 0% to 100% SOC, but does not include 0% SOC and 100% SOC. In an optional embodiment, the specific SOC is preferably any one of 40% to 90% of the remaining capacity of the battery cell, including both end points and any value between both end points. For example, the SOC may be 40% SOC, 50% SOC, 60% SOC, 70% SOC, 80% SOC, 90% SOC, or the like. In the 40-90% SOC interval, the direct current internal resistance DCR of the battery is a bathtub curve relative to the change curve of the SOC, and is insensitive to the DCR with low SOC and high SOC, the fluctuation is small (almost no fluctuation), and the linear correlation between the DCR and the inflation coefficient (spinning) is good at the moment, so that the inflation condition of the battery core is detected by obtaining the passive internal resistance Rcp value of the battery core at 40-90% SOC, and the detection accuracy can be improved.
The SOC of 40% to 90% is the preferred SOC interval in the embodiment of the present application, and in addition, the SOC may be any SOC except 0% SOC in 0% SOC to 40% SOC and any SOC except 100% SOC in 90% SOC to 100% SOC.
When the passive internal resistance Rcp value of the battery cell at the specific SOC is obtained, the passive internal resistance Rcp value of the battery cell at the specific SOC may be obtained only when the temperature of the battery cell is within the preset temperature range. Wherein the preset temperature range is [10 ℃, 80 ℃), that is, the preset temperature range can be any temperature between 10 ℃ and 80 ℃, and includes 10 ℃ and 80 ℃. The passive internal resistance Rcp value of the battery core at the specific SOC is obtained in the temperature range, and is relatively accurate compared with the temperature of 10-80 ℃.
In an alternative embodiment, the preset temperature range is preferably [20 ℃, 60 ℃), that is, preferably any temperature between 20 ℃ and 60 ℃, and includes 20 ℃ and 60 ℃, and in this interval, the influence of the passive internal resistance Rcp value on the temperature is minimal, and the best effect is achieved.
S2: and detecting the inflation condition of the battery cell based on the obtained Rcp value and a preset rule.
After the passive internal resistance Rcp value of the battery cell at a specific SOC is obtained, the inflation condition of the battery cell can be detected based on the obtained Rcp value and a preset rule.
In an alternative embodiment, the preset rule includes an IMR single-value control map, that is, a single-value control map in the IMR control map, and each single value on the IMR single-value control map represents an Rcp value. At this time, the process of detecting the flatulence condition of the battery cell based on the acquired Rcp value and the preset rule may be: and comparing the obtained Rcp value with a UCL (Upper Control Limit) value in the IMR single-value Control chart to detect the flatulence condition of the battery core, wherein if the obtained Rcp value is not smaller than the UCL value in the IMR single-value Control chart, the fact that the battery core has the flatulence is represented, and if the obtained Rcp value is smaller than the UCL value in the IMR single-value Control chart, the fact that the battery core has no flatulence is represented. Whether the flatulence condition appears in electric core can be detected fast to this mode.
Where the IMR control map is used to indicate when the process is not controlled, it is helpful to identify if there is a cause-specific variation, which indicates that the process is unstable and corrective action is necessary.
The IMR Control map is a graph that plots process data in a time-ordered sequence, including a centerline, an Upper Control Limit (UCL), and a Lower Control Limit (LCL). The center line represents the process mean. The control limits represent process variations, and are drawn at positions 3 σ above and below the centerline (σ is the standard deviation) by default.
The IMR control chart includes two control charts, I (Individual) control chart and MR (Moving Range) control chart. When the IMR control chart is updated, the I control chart and the MR control chart are updated correspondingly. The X-axis (i.e., the horizontal axis in the figure) of the IMR single-value control chart represents the lot ID that acquired a single value, and each single value on the Y-axis (i.e., the vertical axis in the figure) of the IMR single-value control chart represents an Rcp value. The X-axis of the MR control map represents the lot ID for which a single value is acquired, and each value on the Y-axis of the MR control map represents a movement range, each movement range being the absolute value of the difference between two consecutive Rcp values.
If the obtained Rcp value is smaller than the UCL value in the IMR single-value control chart, the method for detecting the battery core flatulence further comprises the following steps: and updating the IMR single-value control chart based on the obtained Rcp value, namely substituting the latest obtained Rcp value into the IMR algorithm to obtain the updated IMR single-value control chart, wherein the UCL in the updated IMR single-value control chart can also be changed correspondingly. And then when the latest Rcp value is acquired, comparing the latest Rcp value with the UCL value in the latest IMR single-value control chart to detect the flatulence condition of the battery core, if the acquired Rcp value is smaller than the UCL value in the IMR single-value control chart, updating the IMR single-value control chart based on the acquired Rcp value, and repeating the steps until the acquired Rcp value is not smaller than the UCL value in the IMR single-value control chart and alarming. And continuously monitoring the cell inflation condition by continuously iteratively updating the IMR single-value control chart.
The corresponding IMR single-value Control chart can be generated by performing corresponding Statistical Process Control (SPC) on the acquired Rcp value, and then monitoring when the Rcp value is not controlled based on the IMR single-value Control chart. For convenience of understanding, for example, an IMR single-value control chart may be generated based on the Rcp values obtained in the previous 5 times; when the Rcp value is acquired at the 6 th time, comparing the Rcp value acquired at the 6 th time with the UCL value in the IMR single-value control map generated based on the Rcp value acquired at the previous 5 times, and if the Rcp value acquired at the 6 th time is smaller than the UCL value in the IMR single-value control map, updating the IMR single-value control map based on the acquired Rcp value, namely generating the IMR single-value control map based on the Rcp value acquired at the previous 6 times; when the Rcp value is acquired 7 times, comparing the Rcp value acquired 7 times with the UCL value in the IMR single-value control chart generated based on the Rcp value acquired 6 times, if the Rcp value acquired 7 times is smaller than the UCL value in the IMR single-value control chart, updating the IMR single-value control chart based on the acquired Rcp value, namely generating the IMR single-value control chart based on the Rcp value acquired 7 times, and continuously and iteratively updating.
For a better understanding, the following description is given in conjunction with examples. Assuming that the occurrence of the swelling of the battery cell is detected when the swelling condition of the battery cell is detected based on the passive internal resistance Rcp value obtained at the 6 th time, in the process of continuously monitoring the swelling condition of the battery cell, the Rcp values obtained at the 6 times are as follows:
when the Rcp value is acquired at the 5 th time, it is detected that the electric core has not been inflated based on the IMR single-value control map generated based on the Rcp value acquired at the previous 4 times, and therefore the IMR single-value control map needs to be updated based on the Rcp value acquired at the 5 th time, that is, the Rcp value acquired at the 5 th time is substituted into the IMR algorithm, and the IMR control map is updated based on the IMR control map generated based on the Rcp value acquired at the previous 5 times. An IMR control map generated based on the Rcp values acquired the previous 5 times is shown in fig. 2. When the Rcp value is acquired at the 6 th time, because the Rcp value acquired at the 6 th time is larger than the UCL in the IMR single-value control chart, the problem of gas expansion of the battery core is indicated. An IMR control map generated based on the Rcp values acquired in the previous 6 times is shown in fig. 3, and it can be seen from fig. 3 that the Rcp value acquired in the 6 th time exceeds the control upper limit of the IMR single-value control map.
Among them, those in FIGS. 2 and 3
The average of the individual values in the graph is shown,
the average values of the respective MRs in the graph are shown.
In an optional implementation manner, the preset rule includes a first curve representing a correspondence relationship between an Rcp value and a Swelling coefficient (Swelling) of the battery cell. At this time, the process of detecting the flatulence condition of the battery cell based on the acquired Rcp value and the preset rule may be: based on the first curve, the obtained inflation coefficient corresponding to the Rcp value is searched, and then the inflation coefficient corresponding to the Rcp value is compared with a preset threshold value to detect the inflation condition of the battery cell, wherein if the inflation coefficient corresponding to the Rcp value is larger than the preset threshold value, the battery cell is characterized to have already been inflated, and if the inflation coefficient corresponding to the Rcp value is not larger than the preset threshold value, the battery cell is characterized to have not been inflated.
In this embodiment, before searching for the inflation coefficient corresponding to the obtained Rcp value based on the first curve, the first curve representing the corresponding relationship between the Rcp value of the battery cell and the inflation coefficient (collapsing) needs to be obtained in advance. Therefore, in an optional implementation, the cell inflation detection method further includes acquiring the first curve.
The process of obtaining the first curve may be: the method comprises the steps of obtaining an inflation coefficient of a specified battery cell and an Rcp value of the specified battery cell at a specific SOC (state of charge), wherein the SOC of the specified battery cell is consistent when the Rcp value is obtained each time when the number of times of current stimulation on the specified battery cell periodically reaches a specified period number; then, based on the obtained Rcp values corresponding to the plurality of specified periods, obtaining a second curve representing the corresponding relation between the periods and the Rcp values; obtaining a third curve representing the corresponding relation between the periodicity and the inflation coefficient based on the acquired inflation coefficients corresponding to the multiple specified periodicities; and finally, carrying out correlation processing on the second curve and the third curve to obtain the first curve.
Optionally, the step of periodically performing current stimulation on the specific electric core includes: and periodically charging and discharging the specified battery cell. Wherein, every time carry out charge-discharge to appointed electric core, include: charging the specified cell to a first specified SOC at a first threshold current; and after the battery is kept still for the first specified time, discharging the specified battery cell to a second specified SOC by using the current of a second threshold value, wherein the first specified SOC is larger than the second specified SOC. For example, the specified battery cell is charged to a first specified SOC, such as 100% SOC, with a constant current of 0.5C, and after standing for a first specified time, such as 5 minutes, the specified battery cell is discharged to a second specified SOC, such as 95%, with a constant current of 0.05C, so that one charging and discharging of the specified battery cell is completed; after standing for 5 minutes, repeating the above process again, that is, charging the specified battery cell to the first specified SOC, such as 100% SOC, with a constant current of 0.5C, and after standing for the first specified time, such as 5 minutes, discharging the specified battery cell to the second specified SOC, such as 95%, with a constant current of 0.05C, thus completing the charging and discharging of the specified battery cell twice.
It should be noted that the first specific SOC is not limited to the 100% SOC in the example, and similarly, the second specific SOC is not limited to the 95% SOC in the example, and the current of the first threshold is not limited to 0.5C in the example, the current of the second threshold is not limited to 0.05C in the example, and the first specific time period of standing is different under different condition tests, therefore, the specific value in the example cannot be understood as a limitation to the present application.
When the current stimulation is performed on the battery cell, the current stimulation may be performed on the battery cell that is not in use, or the current stimulation may be performed on the battery cell that is in use. In addition, when the current stimulation is performed on the specified battery cell, in addition to charging and discharging the specified battery cell, only the battery cell may be charged and stimulated in the use process of the battery cell, for example, in the use process of the battery cell, after the specified battery cell is charged to a certain SOC (for example, 100% SOC), the battery cell is not additionally discharged, but the battery cell is waited to consume power to a certain SOC (for example, 60%) due to normal use, and then the battery cell is charged. In addition, the electrical core can be additionally subjected to overdischarge stimulation in the normal use process of the electrical core, if the electrical core is supposed to be controlled to be 20% -90% of the SOC in the normal use process, then at this moment, the electrical core is subjected to current stimulation, the electrical core can be discharged to be below 10% of the SOC for overdischarge stimulation, and after the electrical core is normally charged, the overdischarge stimulation is carried out on the electrical core again.
In an optional implementation manner, the current used when the specified battery cell is charged each time may be greater than the current used when the specified battery cell is discharged, that is, the first threshold may be greater than the second threshold, and an actual usage scenario of the battery is truly simulated by a fast charging and slow discharging manner, so that the detection accuracy may be improved.
The battery can relate to different use conditions in the use process, such as under the conditions of shallow charging and shallow discharging, floating charging, full charging and the like. The term "shallow charge and shallow discharge" generally means that the battery is charged and/or discharged by less than one hundred percent to reach the maximum capacity of the battery during use, i.e., the battery is not fully charged and/or the battery is not completely discharged, e.g., the battery capacity is maintained at about 20% -80%. The floating charge means that when the battery is in a full charge state, the charger does not stop charging, but still provides a constant floating charge voltage and a certain floating charge current for the battery. And full charge refers to a percentage of charge up to the maximum capacity of the battery, i.e., to 100% SOC.
For the battery cell of the notebook computer, the battery cell generally includes a fl (full flag) operating condition and an fc (floating charge) operating condition. The FL operating condition is different from the FC operating condition in that: when the battery cell is charged and discharged at intervals (Interval Time Cycle), the battery cell is kept still for different Time. For example, under the FL operating condition test and the FC operating condition test, when the battery cell is subjected to intermittent cyclic charge and discharge, the remaining power is cycled between 95% and 100% SOC, but under the FL operating condition, the standing time after the battery cell is charged to 100% SOC is different from the standing time after the battery cell is charged to 100% SOC under the FC operating condition. For example, under the FL working condition, after the battery cell is charged to 100% SOC, the battery cell needs to be left stand for 5 minutes, and then the battery cell is discharged to 95% SOC; under the FC working condition, after the battery cell is charged to 100% SOC, the battery cell needs to be left stand for 23 hours, and then the battery cell is discharged to 95% SOC.
For better understanding, the following description is made with reference to a specific example, in an embodiment, a cell with a cell model of 48XX83 is selected, and a correspondence between an Rcp value and a Swelling coefficient (Swelling) of the cell is tested under an fl (full flag) condition. The test flow is as follows:
periodically (cyclically) subjecting a given cell to current stimulation under a constant temperature condition of 45 ℃ (the temperature shown here is merely an example, and the temperature may be [10 ℃, 80 ℃), for example, (1), charging the cell to 100% with a constant current of 0.5 ℃, and then standing for 5 minutes; (2) discharging the battery cell to 95% by using a constant current of 0.05C; after 5 minutes of standing, cycles (1) and (2) are repeated until the cell's Swelling factor (Swelling) reaches a specified threshold, e.g., 30%. Each time the number of times of periodically performing current stimulation on the specific cell reaches a specified number of cycles, for example, 50 times, acquiring the Swelling coefficient of the specific cell and acquiring the Rcp value of the specific cell at the specific SOC, that is, each time the number of times of periodically performing current stimulation on the specific cell reaches a multiple of 50, such as 50, 100, 150, and 200 … …, it is required to acquire the Swelling coefficient (collapsing) of the specific cell and acquire the Rcp value of the specific cell at the specific SOC, and specific test data are as follows:
each time the number of times of current stimulation on a specific battery cell reaches 50 times, a corresponding Rcp value is obtained, and then, based on the Rcp values obtained at … … times 50, 100, 150, and 200, a second curve representing the correspondence relationship between the Cycle number (Cycle No) and the Rcp value as shown in fig. 4 can be obtained. It can be seen from fig. 4 that as the number of cycles increases, the Rcp value of the cell also increases correspondingly.
Each time the number of times of performing current stimulation on a specific cell reaches 50 times, a corresponding inflation coefficient is obtained, and then, based on the inflation coefficients (Swelling) obtained by … … at the 50 th time, the 100 th time, the 150 th time and the 200 th time, a third curve representing the correspondence relationship between the Cycle number (Cycle No) and the inflation coefficient (Swelling) as shown in fig. 5 is obtained. As can be seen from fig. 5, as the number of cycles increases, the swelling coefficient of the cell also increases accordingly.
After the second curve and the third curve are obtained, the correlation processing is performed on the second curve and the third curve, so that the first curve shown in fig. 6 can be obtained. The first curve shows that the inflation coefficient has strong correlation with the Rcp value, so that the on-line monitoring of the inflation condition of the battery core can be realized by monitoring the Rcp value. Where the expression y =0.1214x +0.0024 in fig. 6 is an expression representing a correlation curve (i.e., a first curve) of the inflation coefficient with an Rcp value, y in the expression represents the Rcp value, and x represents the inflation coefficient. R is a correlation coefficient, and R is a correlation coefficient,
closer to 1 indicates better correlation.
It should be noted that the SOCs of the designated battery cell are consistent each time the Rcp value is acquired, that is, the SOCs of the battery cell are acquired at the same SOC each time the passive internal resistance Rcp value of the battery cell is acquired, for example, the SOCs of the designated battery cell are acquired at 50% of the SOC each time, so that errors caused by different SOCs at each time of acquiring the Rcp value can be avoided, and the accuracy is improved. Please refer to the aforementioned section of S1 for the process of obtaining the Rcp value of the specified cell at the specific SOC.
The thickness of the battery cell may be measured by using a thickness tester to obtain an inflation coefficient of the battery cell, where the inflation coefficient = [ (latest thickness-initial thickness)/initial thickness ] × 100%, and the initial thickness may be an initial thickness of the battery cell when the battery cell is shipped from a factory. For example, when the number of times of current stimulation to a specific cell reaches 50 times, the thickness of the cell is measured by a thickness tester, so as to calculate the corresponding flatulence coefficient. The inflation coefficients of … … at times 150 and 200 were obtained by analogy with the inflation coefficient of time 50 = [ (test thickness of time 50-initial thickness)/initial thickness ] × 100%, and the inflation coefficient of time 100 = [ (test thickness of time 100-initial thickness)/initial thickness ] × 100%.
In another embodiment, the corresponding relationship between the Rcp value and the Swelling coefficient (collapsing) of the battery cell is tested under the FC (flowing charge) working condition, and the testing principle is consistent with the FC working condition testing principle, but the difference is that the testing working conditions are different, and the corresponding standing time lengths are also different. The model of the selected battery cell is 57XX77, and the specific test flow is as follows:
the cells are periodically designated to be subjected to current stimulation under a constant temperature condition of 45 ℃ (the temperature shown here is merely an example, and the temperature may be [10 ℃, 80 ℃), for example, (1), the cells are charged to 100% with a constant current of 0.5 ℃, and then left to stand for 23 hours; (2) discharging the battery cell to 95% by using a constant current of 0.05C; after 5 minutes of standing, cycles (1) and (2) are repeated until the cell's Swelling factor (Swelling) reaches a specified threshold, e.g., 30%. When the number of times of current stimulation on the specific cell periodically reaches a specified number of cycles, for example, 7 times, the flatulence coefficient of the specific cell and the Rcp value of the specific cell at the specific SOC are obtained, that is, when the number of times of current stimulation on the specific cell periodically reaches a multiple of 7, such as 7, 14, 21, 28, and 35 … …, it is required to obtain the flatulence coefficient (collapsing) of the specific cell and the Rcp value of the specific cell at the specific SOC, and specific test data are as follows:
each time the number of times of current stimulation is performed on a specific cell reaches 7 times, a corresponding Rcp value is obtained, and then, based on the Rcp values obtained at the 7 th time, the 14 th time, the 21 st time and the 28 th time … …, a second curve representing the correspondence relationship between the Cycle number (Cycle No) and the Rcp value shown in fig. 7 is obtained. It can be seen from fig. 7 that as the number of cycles increases, the Rcp value of the cell also increases correspondingly. Each time the number of times of performing current stimulation on a specific cell reaches 7 times, a corresponding inflation coefficient is obtained, and then, based on the inflation coefficients (Swelling) obtained at … … of the 7 th time, the 14 th time, the 21 st time and the 28 th time, a third curve representing the correspondence relationship between the Cycle number (Cycle No) and the inflation coefficient (Swelling) as shown in fig. 8 is obtained. As can be seen from fig. 8, as the number of cycles increases, the swelling coefficient of the cell also increases accordingly.
After the second curve and the third curve are obtained, the first curve as shown in fig. 9 can be obtained based on the correlation processing performed on the second curve and the third curve. The first curve shows that the inflation coefficient has strong correlation with the Rcp value, so that the on-line monitoring of the inflation condition of the battery core can be realized by monitoring the Rcp value. Where the expression y =0.0496x +0.0196 in fig. 9 is an expression representing a correlation curve (i.e., a first curve) of the inflation coefficient and the Rcp value, y in the expression represents the Rcp value, and x represents the inflation coefficient. R is a correlation coefficient, and R is a correlation coefficient,
closer to 1 indicates better correlation.
Based on the same inventive concept, the embodiment of the present application further provides a Battery Management System (BMS), which is connected to the battery for managing the battery. The battery management system is used for receiving the information of the battery and each external interface, analyzing and processing the information, sending out an execution instruction, completing the functions of charging, discharging, protecting, balancing, fault detecting, fault early warning and the like of the battery, and ensuring the normal, efficient, reasonable and safe operation of the battery. The battery management system can realize online monitoring of the battery core inflation condition in the battery, for example, the battery management system can acquire the passive internal resistance Rcp value of the battery core at a specific SOC (state of charge), and detect the inflation condition of the battery core based on the acquired Rcp value and a preset rule.
The BMS can be divided into three major parts of closed-loop feedback: information acquisition, information analysis and processing and decision execution instruction output. For information acquisition, the BMS needs to monitor the state of the battery in real time, and various sensors are needed to acquire physical parameters of the battery core, such as voltage, current, temperature, and the like. The information analysis processing means that after the BMS acquires the relevant information, the information needs to be analyzed to determine an action to be taken. The output of the decision execution instruction means that the BMS outputs the decision execution instruction to an interactive object (e.g., a charging device) interacting with the BMS through an external interaction interface.
The battery management system may be an existing battery management system, for example, for a notebook computer, the battery management system is a battery management system currently used in a notebook computer, and the structure thereof is well known in the art and will not be described herein.
The principle and the technical effect of the cell inflation detection provided by the embodiment of the battery management system are the same as those of the embodiment of the method, and for the sake of brief description, no part of the embodiment of the battery management system is mentioned, and reference may be made to the corresponding contents in the embodiment of the method.
Based on the same inventive concept, the embodiment of the application also provides electronic equipment, which comprises a body, a battery management system and a battery connected with the battery management system, wherein the battery comprises at least one battery cell. The battery is used for supplying power to the body; the battery management system is used for executing the battery core flatulence detection method and realizing the online monitoring of the battery core flatulence condition. The electronic equipment can be a notebook computer, a tablet computer, a smart phone and the like. It is to be understood that the electronic device is not limited thereto, and may be an electric device having a power battery, for example, an electric vehicle such as an electric bicycle, an electric motorcycle, an electric automobile, or the like.
The principle and the technical effects of the cell inflation detection provided by the embodiment of the electronic device are the same as those of the embodiment of the method, and for the sake of brief description, no part of the embodiment of the electronic device is mentioned, and reference may be made to the corresponding contents in the embodiment of the method.
Based on the same inventive concept, an embodiment of the present application further provides a cell swelling detection apparatus 100, as shown in fig. 10, where the cell swelling detection apparatus 100 includes: an acquisition module 110 and a detection module 120.
The obtaining module 110 is configured to obtain a passive internal resistance Rcp value of the battery cell at a specific SOC when the battery cell is at a temperature within a preset temperature range.
And the detection module 120 is configured to detect an inflation condition of the battery cell based on the obtained Rcp value and a preset rule.
Optionally, the obtaining module 110 is specifically configured to discharge the battery cell to a specific SOC with a current of a third threshold; after standing for a second specified time, discharging the battery cell for a preset time with a current of a fourth threshold value; respectively acquiring the voltages of the battery cell at a first moment and a second moment after the preset duration; and obtaining a passive internal resistance Rcp value of the battery cell at a specific SOC based on the voltage at the first moment, the voltage at the second moment and the current of the fourth threshold.
Optionally, the preset rule includes an IMR single-value control chart, and each single value on the IMR single-value control chart represents one Rcp value; the detection module 120 is specifically configured to characterize an Rcp value for each single value on the IMR single-value control map.
If the obtained Rcp value is smaller than the UCL value in the IMR single-value control map, the detection module 120 is further configured to update the IMR single-value control map based on the obtained Rcp value.
The preset rule comprises a first curve representing the corresponding relation between the Rcp value and the inflation coefficient of the battery core; the detection module 120 is specifically configured to search, based on the first curve, for an inflation coefficient corresponding to the obtained Rcp value; comparing the inflation coefficient corresponding to the Rcp value with a preset threshold value to detect the inflation condition of the battery core; and if the inflation coefficient corresponding to the Rcp value is larger than the preset threshold value, indicating that the electric core has the inflation.
Optionally, before the detecting module 120 finds the gas expansion coefficient corresponding to the obtained Rcp value based on the first curve, the obtaining module 110 is further configured to obtain the gas expansion coefficient of the specified battery cell and obtain the Rcp value of the specified battery cell at a specific SOC every time when the number of times of periodically performing current stimulation on the specified battery cell reaches a specified number of cycles; the SOC of the specified battery cell is consistent when the Rcp value is acquired each time; obtaining a second curve representing the corresponding relation between the periodicity and the Rcp value based on the acquired Rcp values corresponding to the multiple specified periodicities; obtaining a third curve representing the corresponding relation between the periodicity and the inflation coefficient based on the acquired inflation coefficients corresponding to the multiple specified periodicities; and carrying out correlation processing on the second curve and the third curve to obtain the first curve.
The step of periodically performing current stimulation on the specified electric core comprises the following steps: periodically charging and discharging the specified battery cell, wherein the charging and discharging of the specified battery cell every time comprises the following steps: charging the specified cell to a first specified SOC at a first threshold current; and after the battery is kept still for a first specified time, discharging the specified battery cell to a second specified SOC by using current of a second threshold value, wherein the first specified SOC is greater than the second specified SOC.
The implementation principle and the generated technical effects of the cell flatulence detection apparatus 100 provided in the embodiment of the present application are the same as those of the foregoing method embodiment, and for brief description, no part of the embodiment of the apparatus is mentioned, and reference may be made to the corresponding contents in the foregoing method embodiment.
The embodiment of the present application further provides a non-volatile computer-readable storage medium (hereinafter referred to as a storage medium), where the storage medium stores a computer program, and when the computer program is executed by the electronic device as described above, the above-described battery cell swelling detection method is executed.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, 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 that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product stored in a computer-readable storage medium, which includes several instructions for causing a computer device (which may be a personal computer, a notebook computer, a server, or an electronic device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned computer-readable storage medium comprises: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A cell flatulence detection method is characterized by comprising the following steps:
when the temperature of the battery cell is within a preset temperature range, acquiring a passive internal resistance Rcp value of the battery cell at a specific SOC (state of charge), wherein the preset temperature range is [10 ℃, 80 ℃), and the specific SOC is (0%, 100%);
detecting the gas expansion condition of the battery core based on the obtained Rcp value and a preset rule, wherein the preset rule comprises an IMR single-value control chart, each single value on the IMR single-value control chart represents one Rcp value, or the preset rule comprises a first curve representing the corresponding relation between the Rcp value of the battery core and a gas expansion coefficient;
the obtaining of the passive internal resistance Rcp value of the battery cell at a specific SOC includes:
discharging the cell to a particular SOC at a current of a third threshold;
after standing for a second specified time, discharging the battery cell for a preset time with a current of a fourth threshold value;
respectively acquiring the voltages of the battery cell at a first moment and a second moment after the preset duration;
and obtaining a passive internal resistance Rcp value of the battery cell at a specific SOC based on the voltage at the first moment, the voltage at the second moment and the current of the fourth threshold.
2. The method of claim 1, wherein the preset rules include an IMR single value control chart; detecting the flatulence condition of the battery cell based on the obtained Rcp value and a preset rule, wherein the method comprises the following steps:
comparing the obtained Rcp value with a UCL value in the IMR single-value control chart to detect the flatulence condition of the battery core;
and if the obtained Rcp value is not less than the UCL value in the IMR single-value control chart, indicating that the battery core has the flatulence.
3. The method of claim 1, wherein the preset rule comprises a first curve representing a correspondence relationship between an Rcp value and an inflation coefficient of the battery cell; detecting the flatulence condition of the battery cell based on the obtained Rcp value and a preset rule, wherein the method comprises the following steps:
based on the first curve, searching for an inflation coefficient corresponding to the obtained Rcp value;
comparing the inflation coefficient corresponding to the Rcp value with a preset threshold value to detect the inflation condition of the battery core;
and if the inflation coefficient corresponding to the Rcp value is larger than the preset threshold value, indicating that the electric core has the inflation.
4. The method according to claim 3, wherein before finding the inflation coefficient corresponding to the obtained Rcp value based on the first curve, the method further comprises:
the method comprises the steps that when the number of times of current stimulation on a specified battery cell periodically reaches a specified period number, the flatulence coefficient of the specified battery cell is obtained, and the Rcp value of the specified battery cell at a specific SOC is obtained; the SOC of the specified battery cell is consistent when the Rcp value is acquired each time;
obtaining a second curve representing the corresponding relation between the periodicity and the Rcp value based on the acquired Rcp values corresponding to the multiple specified periodicities;
obtaining a third curve representing the corresponding relation between the periodicity and the inflation coefficient based on the acquired inflation coefficients corresponding to the multiple specified periodicities;
and carrying out correlation processing on the second curve and the third curve to obtain the first curve.
5. The method of claim 4, wherein the step of periodically subjecting the designated cells to current stimulation comprises:
periodically charging and discharging the specified battery cell, wherein the charging and discharging of the specified battery cell every time comprises the following steps:
charging the specified cell to a first specified SOC at a first threshold current;
and after the battery is kept still for a first specified time, discharging the specified battery cell to a second specified SOC by using current of a second threshold value, wherein the first specified SOC is greater than the second specified SOC.
6. The utility model provides a battery core flatulence detection device which characterized in that includes:
the device comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for acquiring a passive internal resistance Rcp value of a battery cell in a specific SOC when the temperature of the battery cell is within a preset temperature range, the preset temperature range is [10 ℃, 80 ℃), and the specific SOC is (0%, 100%);
the detection module is used for detecting the gas expansion condition of the battery cell based on the obtained Rcp value and a preset rule, wherein the preset rule comprises an IMR single-value control chart, each single value on the IMR single-value control chart represents one Rcp value, or the preset rule comprises a first curve representing the corresponding relation between the Rcp value of the battery cell and a gas expansion coefficient;
the obtaining module is configured to discharge the battery cell to a specific SOC at a current of a third threshold; after standing for a second specified time, discharging the battery cell for a preset time with a current of a fourth threshold value; respectively acquiring the voltages of the battery cell at a first moment and a second moment after the preset duration; and obtaining a passive internal resistance Rcp value of the battery cell at a specific SOC based on the voltage at the first moment, the voltage at the second moment and the current of the fourth threshold.
7. A battery management system connected to a battery, the battery including at least one cell, the battery management system being configured to perform the cell swelling detection method according to any one of claims 1 to 5.
8. An electronic device, comprising: the battery comprises a body, a battery management system and a battery connected with the battery management system, wherein the battery comprises at least one battery cell;
the battery is used for supplying power to the body;
the battery management system is used for executing the cell inflation detection method of any one of claims 1 to 5.
9. A computer-readable storage medium, having stored thereon a computer program which, when executed by a computer, performs the cell swell detection method according to any one of claims 1 to 5.
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