Method, device and equipment for determining remaining service life of battery and medium

Abstract

The invention relates to a method, a device and equipment for determining the remaining service life of a battery and a medium. The method comprises the following steps: acquiring charging and discharging parameters of the battery; determining the attenuation rate of the battery according to the charging and discharging parameters; and obtaining the remaining service life of the battery according to the attenuation rate.

Description

Technical Field

[0001] The present disclosure relates to the field of battery technology, and more specifically, to a method, device, equipment and medium for determining the remaining service life of a battery. Background Art

[0002] Power batteries will deteriorate to varying degrees during use, resulting in inconsistencies in the lifespan of retired batteries. In order to maximize the utilization value of retired batteries, it is necessary to estimate the remaining service life of the batteries.

[0003] In the related art, methods for estimating battery service life include, for example, data-driven methods and equivalent circuit methods. However, the data-driven method relies on a large amount of historical data, and infers the future cycle trend of the battery based on the historical data. The algorithm process is relatively complex. The equivalent circuit method simulates the deterioration condition inside the battery by changing the basic parameters of the circuit components, and then predicts the remaining service life of the battery. There are large human errors, and the algorithm process is relatively complex. Summary of the invention

[0004] One purpose of the embodiments of the present disclosure is to provide a new technical solution for determining the remaining service life of a battery.

[0005] According to a first aspect of the present disclosure, a method for determining a remaining battery life is provided, the method comprising:

[0006] Obtaining charging and discharging parameters of the battery;

[0007] Determining the attenuation rate of the battery according to the charge and discharge parameters;

[0008] The remaining service life of the battery is obtained according to the decay rate.

[0009] Optionally, the charge and discharge parameter includes the integrated area of ​​the discharge curve of the battery,

[0010] Before acquiring the charge and discharge parameters of the battery, the method further includes:

[0011] Performing a charge and discharge test on the battery to obtain first discharge data of the battery; wherein the first discharge data includes the voltage and discharge capacity of the battery at different times;

[0012] Obtaining the total discharge capacity and the accumulated discharge capacity at different times of the battery according to the first discharge data;

[0013] Obtaining the power of the battery at different times according to the total discharge capacity and the accumulated discharge capacity at different times;

[0014] The discharge curve is obtained according to the voltage and power of the battery at different times.

[0015] Optionally, performing a charge and discharge test on the battery to obtain first discharge data of the battery includes:

[0016] Performing a charge and discharge test on the battery to obtain second discharge data of the battery; wherein the second discharge data includes the voltage and discharge capacity of the battery at different times;

[0017] The voltage and the discharge capacity in the second discharge data are interpolated to obtain the first discharge data.

[0018] Optionally, the charge and discharge parameter includes the integrated area of ​​the discharge curve of the battery,

[0019] Determining the attenuation rate of the battery according to the charge and discharge parameters includes:

[0020] Determining, according to an integrated area of ​​a discharge curve of the battery and first mapping data, a decay rate of the battery corresponding to the integrated area;

[0021] The first mapping data reflects the corresponding relationship between the decay rate and the integrated area of ​​the discharge curve.

[0022] Optionally, obtaining the remaining service life of the battery according to the attenuation rate includes:

[0023] Obtaining the current health, end-of-life health, and rated capacity of the battery;

[0024] The remaining service life of the battery is obtained according to the current health state, the end-of-life health state, the rated capacity, and the decay rate.

[0025] Optionally, obtaining the remaining service life of the battery according to the current health, the end-of-life health, the rated capacity, and the decay rate satisfies:

[0026]

[0027] Wherein, RUL is the remaining service life of the battery, SOH is the current health, and SOH 寿命终止 is the end-of-life health, Q 出厂 is the rated capacity, and k is the attenuation rate.

[0028] Optionally, the method further comprises:

[0029] Obtaining the battery capacity of the battery;

[0030] The batteries are classified according to their remaining service life and battery capacity.

[0031] Optionally, the charge and discharge parameter includes the integrated area of ​​the charging curve of the battery,

[0032] Determining the attenuation rate of the battery according to the charge and discharge parameters includes:

[0033] determining, according to an integral area of ​​a charging curve of the battery and second mapping data, a decay rate of the battery corresponding to the integral area;

[0034] The second mapping data reflects the corresponding relationship between the decay rate and the integrated area of ​​the charging curve.

[0035] Optionally, the charge and discharge parameters include the integral area of ​​the charge curve and the integral area of ​​the discharge curve of the battery,

[0036] Determining the attenuation rate of the battery according to the charge and discharge parameters includes:

[0037] The decay rate of the battery is determined according to an area difference between an integrated area of ​​the charging curve and an integrated area of ​​the discharging curve.

[0038] Optionally, the charging and discharging parameters include the average charging internal resistance of the battery.

[0039] Determining the attenuation rate of the battery according to the charge and discharge parameters includes:

[0040] Determining, according to the average charging internal resistance of the battery and third mapping data, a decay rate of the battery corresponding to the average charging internal resistance;

[0041] The third mapping data reflects the corresponding relationship between the attenuation rate and the average charging internal resistance.

[0042] Optionally, the charge and discharge parameters include the average discharge internal resistance of the battery.

[0043] Determining the attenuation rate of the battery according to the charge and discharge parameters includes:

[0044] determining, according to the average discharge internal resistance of the battery and fourth mapping data, a decay rate of the battery corresponding to the average discharge internal resistance;

[0045] The fourth mapping data reflects the corresponding relationship between the attenuation rate and the average internal resistance of the discharge.

[0046] Optionally, the charging and discharging parameters include the average charging internal resistance and the average discharging internal resistance of the battery.

[0047] Determining the attenuation rate of the battery according to the charge and discharge parameters includes:

[0048] The decay rate of the battery is determined according to the internal resistance difference between the charging average internal resistance and the discharging average internal resistance.

[0049] According to a second aspect of the present disclosure, an electronic device is provided, comprising a memory and a processor, wherein the memory is used to store an executable computer program; and the computer program is used to control the processor to execute the method according to the first aspect of the present disclosure.

[0050] According to a third aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method described in the first aspect of the present disclosure is implemented.

[0051] According to a fourth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the steps of the method described in the first aspect of the present disclosure are implemented.

[0052] One beneficial effect of the embodiments of the present disclosure is that it determines the decay rate of the battery through the charge and discharge parameters of the battery, and determines the remaining service life of the battery based on the decay rate of the battery. Since battery deterioration will cause increased battery polarization, the charge and discharge parameters of the battery will change to varying degrees. Through the embodiments of the present disclosure, it quantifies the magnitude of battery polarization based on the charge and discharge parameters of the battery. Different charge and discharge parameters correspond to different decay rates, and then the remaining service life of the battery is determined based on the decay rate of the battery, thereby improving the accuracy of estimating the remaining service life of the battery.

[0053] Further features and advantages of the present invention will become apparent from the following detailed description of exemplary embodiments of the present invention with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

[0055] Figure 1 A block diagram showing a hardware configuration of an electronic device that can implement an embodiment of the present disclosure;

[0056] Figure 2 is a flowchart of a method for determining the remaining service life of a battery according to an embodiment of the present disclosure;

[0057] Figure 3 is a schematic diagram of the integrated area of ​​a discharge curve of a battery according to an embodiment of the present disclosure;

[0058] Figure 4 It is a schematic diagram of battery attenuation curves according to different degrees of deterioration of the prior art;

[0059] Figure 5 It is a schematic diagram of the charge voltage discharge curve of batteries with different deterioration degrees according to the prior art;

[0060] Figure 6 is a schematic diagram comparing a predicted curve of the remaining service life of a battery according to an embodiment of the present disclosure with a measured curve;

[0061] Figure 7 is a block diagram of a device for determining remaining battery life according to an embodiment of the present disclosure;

[0062] Figure 8 is a block diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0063] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless otherwise specifically stated.

[0064] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0065] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0066] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0067] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0068] <Hardware Configuration>

[0069] Figure 1 A block diagram showing a hardware configuration of an electronic device 1000 that can implement an embodiment of the present disclosure is shown.

[0070] The electronic device 1000 may be a portable computer, a desktop computer, a mobile phone, a tablet computer, etc. Figure 1As shown, the electronic device 1000 may include a processor 1100, a memory 1200, an interface device 1300, a communication device 1400, a display device 1500, an input device 1600, a speaker 1700, a microphone 1800, and the like. Among them, the processor 1100 may be a central processing unit CPU, a microprocessor MCU, and the like. The memory 1200 includes, for example, a ROM (read-only memory), a RAM (random access memory), a non-volatile memory such as a hard disk, and the like. The interface device 1300 includes, for example, a USB interface, a headphone interface, and the like. The communication device 1400 is, for example, capable of wired or wireless communication, and may specifically include Wifi communication, Bluetooth communication, 2G / 3G / 4G / 5G communication, and the like. The display device 1500 is, for example, a liquid crystal display screen, a touch display screen, and the like. The input device 1600 may include, for example, a touch screen, a keyboard, a somatosensory input, and the like. The user may input / output voice information through the speaker 1700 and the microphone 1800.

[0071] Figure 1 The electronic device shown is merely illustrative and does not in any way imply any limitation on the present disclosure, its application or use. In the embodiments of the present disclosure, the memory 1200 of the electronic device 1000 is used to store instructions, and the instructions are used to control the processor 1100 to operate to perform any of the methods for determining the remaining battery life provided in the embodiments of the present disclosure. It should be understood by those skilled in the art that although Figure 1 In the electronic device 1000, multiple devices are shown, but the present disclosure may only involve some of the devices, for example, the electronic device 1000 only involves the processor 1100 and the storage device 1200. A technician can design instructions according to the scheme disclosed in the present disclosure. How instructions control the processor to operate is well known in the art, so it will not be described in detail here.

[0072] <Method Example>

[0073] The present disclosure discloses a method for determining the remaining service life of a battery. Figure 2 As shown, the method for determining the remaining battery life includes the following steps S2100 to S2300.

[0074] Step S2100, obtaining the charge and discharge parameters of the battery.

[0075] The charge and discharge parameters include the integral area of ​​the discharge curve of the battery, and the discharge curve reflects the corresponding relationship between the state of charge (SOC) and voltage (Voltage, V) of the battery. The abscissa of the discharge curve is usually the battery charge, and the ordinate of the discharge curve is usually the battery voltage corresponding to the charge. Here, the discharge curve can be referred to as a state of charge-voltage (SOC-V) discharge curve.

[0076] The integrated area of ​​the discharge curve may be the area enclosed by the discharge curve and the horizontal and vertical coordinates, for example, Figure 3 The horizontal axis range is 0-100, and the vertical axis range is 0-the area enclosed by the maximum voltage. Figure 3 The integrated area of ​​the discharge curve of cell 1 (cell 1), the integrated area of ​​the discharge curve of cell 2 (cell 2), and the integrated area of ​​the discharge curve of cell 3 (cell 3) are shown.

[0077] Of course, the integral area of ​​the discharge curve may also be the area enclosed by the discharge curve and the abscissa, for example, the area enclosed by the abscissa range of 0-100 and the ordinate range of the voltage minimum value-voltage maximum value.

[0078] In an optional embodiment, before executing step S2100 to obtain the charge and discharge parameters of the battery, the method for determining the remaining service life of the battery in the embodiment of the present disclosure may further include the following steps S3100 to S3400:

[0079] Step S3100, performing a charge and discharge test on the battery to obtain first discharge data of the battery.

[0080] The first discharge data includes the voltage and discharge capacity of the battery at different times. Usually, performing a charge and discharge test on a battery refers to performing a charge and discharge test on one of the cells in the battery.

[0081] Optionally, performing a charge and discharge test on the battery in step S3100 to obtain first discharge data of the battery may further include: performing a charge and discharge test on the battery to obtain second discharge data of the battery; wherein the second discharge data includes the voltage and discharge capacity of the battery at different times; and interpolating the voltage and the discharge capacity in the second discharge data to obtain the first discharge data.

[0082] Specifically, in order to ensure the consistency of tests on different batteries, the test parameters of the battery are first fixed, and the test parameters include, for example but not limited to, current, charge cut-off voltage, and discharge cut-off voltage; then, for each of the multiple batteries for which the remaining service life of the battery needs to be estimated, a charge and discharge test is performed on the battery using a constant current charge and discharge mode, and the voltage and capacity during the charge and discharge test are recorded; then, the voltage and discharge capacity of the battery at different times during the discharge test are extracted to obtain second discharge data.

[0083] When obtaining the second discharge data, in order to minimize the error of the integrated area, the second discharge data needs to be interpolated, that is, the voltage and discharge capacity in the second discharge data are interpolated at the same time to obtain the first discharge data. Exemplarily, a linear interpolation algorithm can be used to interpolate the discharge capacity in the second discharge data, for example, interpolating the discharge capacity of the battery from 0Ah to the total discharge capacity of the battery with a step size of 0.02Ah.

[0084] Step S3200: Obtain the total discharge capacity and the accumulated discharge capacity at different times of the battery according to the first discharge data.

[0085] Specifically, in order to determine the capacity of the battery at time T, the total discharge capacity Q of the battery is first determined based on the first discharge data. 总 And the cumulative discharge capacity Q of the battery at time T T累计 .

[0086] Step S3300, obtaining the power of the battery at different times according to the total discharge capacity and the accumulated discharge capacity at different times.

[0087] Specifically, based on the total discharge capacity Q of the battery 总 And the cumulative discharge capacity Q of the battery at time T T累计 , determine the capacity Q of the battery at time T T剩余 ; Then, based on the capacity of the battery at time T and the total discharge capacity of the battery, the battery power at time T is determined.

[0088] The battery power SOC at time T is T Satisfies the following formula:

[0089]

[0090] Among them, Q T剩余 is the capacity of the battery at time T, unit: Ah; Q 总 It is the total discharge capacity of the battery, unit: Ah.

[0091] Step S3400, obtaining the discharge curve according to the voltage and power of the battery at different times.

[0092] Specifically, after obtaining the voltage and power of the battery at different times, a state of charge-voltage (SOC-V) discharge curve can be drawn.

[0093] It should be noted that lithium-ion power batteries will exhibit different attenuation modes due to their different historical operating conditions, internal deterioration conditions, and deterioration modes. Figure 4From the battery attenuation curves with different degrees of deterioration shown, it can be seen that high-capacity batteries will also show poor cycle performance, while low-capacity batteries will also show good cycle performance. At the same time, batteries with the same state of health (SOH) will also show completely different cycle performance. Therefore, when estimating the remaining service life of retired batteries, it cannot be estimated only based on the size of its current capacity, that is, there is no strong correlation between the battery SOH and the remaining service life. Through the above steps S3100 to S3400, the battery capacity is normalized to the power SOC to eliminate the influence of the battery capacity on the estimation of the remaining service life of the battery.

[0094] After executing the above step S2100 to obtain the battery charge and discharge parameters, enter:

[0095] Step S2200: determining the attenuation rate of the battery according to the charge and discharge parameters.

[0096] The battery decay rate is the rate of loss of reversible capacity of the battery during operation, and the charge and discharge parameters include the integral area of ​​the discharge curve of the battery. Different integral areas correspond to different battery decay rates. In this embodiment, the battery decay rate can be determined based on the integral area of ​​the discharge curve.

[0097] It should be noted that during the operation of lithium-ion batteries, due to the accumulation of irreversible deterioration reactions such as the solid electrolyte interface (SEI), electrolyte consumption, and active material aging inside the battery, batteries with different degrees of deterioration show different degrees of polarization under the same test conditions. Figure 5 It can be seen from the SOC-V discharge curves of batteries with different degrees of deterioration that as the degree of deterioration inside the battery increases, the discharge curve shows a trend of gradually sinking, that is, the discharge platform of the battery gradually decreases, indicating that the battery polarization gradually increases, so the integral area of ​​the SOC-V discharge curve will gradually decrease with the increase of the polarization degree. Through the embodiment of the present application, it first calculates the integral area of ​​the SOC-V discharge curve of the battery, and quantifies the size of the battery polarization by the size of the integral area, such as but not limited to ohmic polarization caused by increased internal resistance, concentration polarization caused by reduced electrolyte, and electrochemical polarization caused by aging of active materials.

[0098] In one embodiment, the step S2200 of determining the decay rate of the battery according to the charge and discharge parameters may further include: determining the decay rate of the battery corresponding to the integral area of ​​the discharge curve of the battery according to the integral area and the first mapping data.

[0099] Among them, the first mapping data reflects the corresponding relationship between the decay rate and the integral area of ​​the discharge curve. For example, the first mapping data includes multiple corresponding relationships, one of which is "the integral area is less than 315.5, the decay rate is greater than or equal to 0.055", one of which is "the integral area is 315.5-317.5, the upper limit of the decay rate is 0.017, and the lower limit of the decay rate is 0.025", one of which is "the integral area is 317.5-319.5, the upper limit of the decay rate is 0.014, and the lower limit of the decay rate is 0.017", one of which is "the integral area is 319.5-321, the upper limit of the decay rate is 0.008, and the lower limit of the decay rate is 0.014", and one of which is "the integral area is greater than 321, the upper limit of the decay rate is 0.006, and the lower limit of the decay rate is 0.008".

[0100] After executing the above step S2200 to determine the attenuation rate of the battery according to the charge and discharge parameters, proceed to:

[0101] Step S2300: Obtain the remaining service life of the battery according to the attenuation rate.

[0102] In one embodiment, step S2300 of obtaining the remaining service life of the battery according to the decay rate may further include: obtaining the current health, end-of-life health, and rated capacity of the battery; and obtaining the remaining service life of the battery according to the current health, the end-of-life health, the rated capacity, and the decay rate.

[0103] The current health of the battery can be determined based on the total discharge capacity of the battery and the rated capacity of the battery. The rated capacity of the battery is generally measured by the capacity (Ah) discharged when the fully charged battery is discharged at room temperature for 1h (A) and reaches the termination voltage. It is usually the capacity value of the battery declared by the manufacturer.

[0104] Among them, the end-of-life health of the battery can be set according to the actual application scenario and actual needs, and this embodiment does not limit this.

[0105] In this embodiment, the remaining service life RUL of the battery satisfies the following formula:

[0106]

[0107] Among them, RUL is the remaining service life of the battery, unit: cycle; k is the decay rate, unit: Ah / cycle; SOH is the current health of the battery; SOH 寿命终止 is the end-of-life health of the battery; Q 出厂It is the factory capacity of the battery, that is, the rated capacity of the battery, in Ah. Figure 6 From the comparison diagram of the predicted curve of the remaining service life of the battery and the measured curve, it can be seen that the predicted curve of the remaining service life of the battery and the measured curve are consistent with each other by more than 93%.

[0108] According to the embodiments of the present disclosure, the battery attenuation rate is determined through the battery charge and discharge parameters, and the battery remaining service life is determined based on the battery attenuation rate. Since battery deterioration will lead to increased battery polarization, the battery charge and discharge parameters will change to varying degrees. Through the embodiments of the present disclosure, the battery polarization is quantified based on the battery charge and discharge parameters. Different charge and discharge parameters correspond to different attenuation rates, and the battery remaining service life is determined based on the battery attenuation rate, thereby improving the accuracy of the estimated battery remaining service life.

[0109] Furthermore, in the case where the charge and discharge parameters include the integral area of ​​the battery's discharge curve, it is possible to determine the battery's decay rate through the integral area of ​​the battery's charge-voltage discharge curve, and determine the battery's remaining service life based on the battery's decay rate. Since battery deterioration will lead to increased battery polarization, the battery discharge charge-voltage curve will change to varying degrees. The magnitude of the battery polarization can be quantified based on the integral area of ​​the battery's charge-voltage discharge curve. Different integral areas correspond to different decay rates, and the battery's remaining service life can be determined based on the battery's decay rate, thereby improving the accuracy of the estimated remaining service life of the battery.

[0110] On the one hand, in the related art, when estimating the remaining service life of a battery based on a data-driven method, it completely relies on the analysis of historical data, and infers the future cycle trend of the battery based on the historical data. The method for estimating the remaining service life of a battery provided in the embodiment of the present disclosure belongs to the empirical model method. Compared with the data-driven method, it is simple to operate, does not require complex algorithms and a large amount of historical data, takes the current state of the battery as the starting point, and predicts the remaining service life of the battery based on the empirical model and electrochemical mechanism. Only one complete discharge is required to determine the decay rate of the battery, and then the remaining service life of the battery is estimated based on the decay rate of the battery.

[0111] On the other hand, in the related art, when estimating the remaining service life of a battery based on the equivalent circuit method, it is a model that equates each part of the battery to a circuit element, and expresses the external characteristics of the battery through a combination of circuit elements. The deterioration of the battery inside is simulated by changing the basic parameters of the circuit components, and the remaining service life of the battery is predicted. The equivalent circuit model method can be divided into two categories: a time domain analysis model that uses lithium-ion battery voltage and current data for modeling, and a frequency domain analysis model that uses electrochemical impedance spectroscopy for analytical modeling. The method for estimating the remaining service life of a battery provided in the embodiment of the present disclosure belongs to the empirical model method. Compared with the equivalent circuit method, it does not need to introduce other tests such as electrochemical impedance spectroscopy. Only a simple capacity division test, that is, a single charge and discharge test, is required to determine the decay rate of the battery, and then the remaining service life of the battery is estimated based on the decay rate of the battery.

[0112] Furthermore, the battery remaining service life prediction method provided by the embodiment of the present disclosure is relatively compatible with most current production processes. There is no need to change the current testing process. The battery remaining service life can be predicted by simply processing and calculating the data of the current process.

[0113] In one embodiment, after executing the above step S2300 to obtain the remaining service life of the battery according to the attenuation rate, the method for determining the remaining battery life of the embodiment of the present disclosure further includes: obtaining the battery capacity of the battery; and classifying the battery according to the remaining service life and battery capacity of the battery.

[0114] The battery capacity may be the total discharge capacity of the battery. As shown above, the total discharge capacity is obtained based on a charge and discharge test.

[0115] Specifically, the batteries can be roughly divided based on the battery capacity of the batteries, and then the batteries can be subdivided based on the remaining service life of the batteries. For example, after obtaining the battery capacity and remaining service life corresponding to 100 batteries, since the battery capacity corresponding to 20 batteries is less than 100Ah, and the battery capacity corresponding to the other 80 batteries is greater than or equal to 100Ah, the 20 batteries can be divided into group 1 and the other 80 batteries can be divided into group 2.

[0116] Next, group 1 and group 2 are subdivided based on the remaining service life of the 100 batteries. For example, if the remaining service life of 12 of the 20 batteries in group 1 is less than 1,000 cycles, and the remaining service life of the other 8 batteries is greater than or equal to 1,000 cycles, the 12 batteries in group 1 can be divided into group 11, and the other 8 batteries in group 1 can be divided into group 12. For another example, if the remaining service life of 60 of the 80 batteries in group 2 is less than 1,000 cycles, and the remaining service life of the other 20 batteries is greater than or equal to 1,000 cycles, the 60 batteries in group 2 can be divided into group 21, and the other 20 batteries in group 2 can be divided into group 22.

[0117] Based on this, 100 batteries can be divided into four groups: group 11, group 12, group 21 and group 22. Each battery corresponds to a classification, and different categories of batteries can be applied to different usage scenarios.

[0118] Through this embodiment, in terms of the cascade utilization of retired batteries, the screening accuracy of the retired batteries can be improved, and the maximum value of the retired batteries can be tapped.

[0119] It should be noted that, due to the increase in battery polarization caused by battery deterioration, when the battery is charged and discharged, due to the increase in polarization, the battery charge and discharge curve will change to varying degrees. Based on this, in one embodiment, the battery charge and discharge parameters include the integral area of ​​the battery charge curve. The above step S2200 determines the decay rate of the battery according to the charge and discharge parameters, which may further include: determining the decay rate of the battery corresponding to the integral area according to the integral area of ​​the battery charge curve and the second mapping data.

[0120] The second mapping data reflects the corresponding relationship between the decay rate and the integral area of ​​the charging curve. This embodiment does not provide an example of the second mapping data, and the first mapping data may be specifically referred to. In addition, the charging curve may be obtained based on the above-mentioned charging and discharging test of the battery.

[0121] In this embodiment, as the battery polarization increases, the charging curve moves upward, so the integral area of ​​the SOC-V charging curve increases as the battery deteriorates. The battery decay rate can be determined based on the integral area of ​​the charging curve, and the remaining service life of the battery can be obtained based on the decay rate, which can also achieve the same classification effect. In this embodiment, the size of the battery polarization is quantified by the size of the charging curve area.

[0122] In one embodiment, the charge and discharge parameters of the battery include the integral area of ​​the charge curve and the integral area of ​​the discharge curve of the battery. The above step S2200 of determining the decay rate of the battery according to the charge and discharge parameters may further include: determining the decay rate of the battery according to the area difference between the integral area of ​​the charge curve and the integral area of ​​the discharge curve.

[0123] In this embodiment, as the battery polarization increases, the charging curve moves upward and the discharging curve moves downward, so the area difference between the integral area of ​​the charging curve and the integral area of ​​the discharging curve increases as the battery deteriorates. Here, the decay rate of the battery can be determined based on the area difference, and then the remaining service life of the battery can be obtained based on the decay rate, which can also achieve the same classification effect. In this embodiment, the size of the battery polarization is quantified by the area difference between the integral area of ​​the charging curve and the integral area of ​​the discharging curve.

[0124] In one embodiment, the battery charge and discharge parameters include the average charging internal resistance of the battery. The above step S2200 determines the battery decay rate according to the charge and discharge parameters and may further include: determining the battery decay rate corresponding to the average charging internal resistance according to the average charging internal resistance of the battery and the third mapping data.

[0125] The third mapping data reflects the corresponding relationship between the attenuation rate and the average charging internal resistance. This embodiment does not give an example for the third mapping data, and the first mapping data may be specifically referred to.

[0126] The average internal resistance of charging is the ratio of the average voltage to the average current during the charging process. The average voltage during the charging process can be calculated based on the voltage of the battery at different times during the charging test. It should be noted that since it is a constant current charging and discharging mode, the average current is the constant current value.

[0127] In this embodiment, as the battery polarization increases, the charging curve moves upward, the voltage average increases, and thus the charging average internal resistance increases. Here, the battery decay rate can be determined based on the charging average internal resistance, and then the remaining service life of the battery can be obtained based on the decay rate, which can also achieve the same classification effect. In this embodiment, the magnitude of the battery polarization is quantified by the charging average internal resistance.

[0128] In one embodiment, the charge and discharge parameters of the battery include the average discharge internal resistance of the battery. The above step S2200, determining the decay rate of the battery according to the charge and discharge parameters, may further include: determining the decay rate of the battery corresponding to the average discharge internal resistance according to the average discharge internal resistance of the battery and fourth mapping data.

[0129] The fourth mapping data reflects the corresponding relationship between the attenuation rate and the average internal resistance of the discharge. This embodiment does not give an example for the fourth mapping data, and the first mapping data may be specifically referred to.

[0130] The average discharge internal resistance is the ratio of the average voltage to the average current during the discharge process. The average voltage during the discharge process can be calculated based on the voltage of the battery at different times during the discharge test. It should be noted that since it is a constant current charge and discharge mode, the average current is the constant current value.

[0131] In this embodiment, as the battery polarization increases, the discharge curve moves downward, the voltage average decreases, and thus the charging average internal resistance decreases. Here, the battery decay rate can be determined based on the discharge average internal resistance, and then the remaining service life of the battery can be obtained based on the decay rate, which can also achieve the same classification effect. In this embodiment, the magnitude of the battery polarization is quantified by the discharge average internal resistance.

[0132] In one embodiment, the charge and discharge parameters of the battery include the average charge internal resistance and the average discharge internal resistance of the battery. The above step S2200 determines the decay rate of the battery according to the charge and discharge parameters, and may further include: determining the decay rate of the battery according to the internal resistance difference between the average charge internal resistance and the average discharge internal resistance.

[0133] In this embodiment, as the battery polarization increases, the charging curve will move upward and the discharging curve will move downward, and the internal resistance difference between the average charging internal resistance and the average discharging internal resistance will increase as the battery deteriorates. Here, the battery decay rate can be determined based on the internal resistance difference, and then the remaining service life of the battery can be obtained based on the decay rate, which can also achieve the same classification effect. In this embodiment, the magnitude of the battery polarization is quantified by the internal resistance difference between the average charging internal resistance and the average discharging internal resistance.

[0134] <Example 1>

[0135] Next, taking the charging and discharging parameter as the integrated area of ​​the discharge curve of the battery as an example, an example of a method for determining the remaining service life of the battery is shown. In this example, the method for determining the remaining service life of the battery may further include:

[0136] Step S401, performing a charge and discharge test on the battery with fixed test parameters of the battery, and recording the voltage and capacity during the test.

[0137] Step S402, extracting the voltage and discharge capacity of the battery at different times during the discharge process to obtain second discharge data, and using a linear interpolation algorithm to interpolate the voltage and discharge capacity in the second discharge data to obtain first discharge data.

[0138] Step S403: first determine the total discharge capacity Q of the battery according to the first discharge data. 总 And the cumulative discharge capacity Q of the battery at time T T累计 , then according to the total battery discharge capacity Q 总 And the cumulative discharge capacity Q of the battery at time T T累计 , determine the capacity Q of the battery at time T T剩余 Then, according to the capacity of the battery at time T and the total discharge capacity of the battery, the power of the battery at time T is determined, referring to the above formula 1 for details.

[0139] Step S404: Draw a SOC-V discharge curve according to the voltage and power of the battery at different times, and calculate the integral area of ​​the SOC-V discharge curve.

[0140] Step S405 , determining a battery decay rate k corresponding to the integral area of ​​the SOC-V discharge curve according to the integral area of ​​the SOC-V discharge curve and the first mapping data.

[0141] Step S406: according to the current health state SOH of the battery and the end-of-life health state SOH of the battery 寿命终止 、Battery rated capacity Q 出厂 And the battery attenuation rate k, obtain the remaining service life RUL of the battery, refer to the above formula 2 for details.

[0142] Step S407, classifying the batteries according to the total discharge capacity of the batteries and the remaining service life of the batteries.

[0143] <Example 2>

[0144] Next, an example of classifying retired batteries based on the method for determining the remaining useful life of a battery according to an embodiment of the present disclosure is shown.

[0145] Taking the square-shell lithium iron phosphate battery cell with a factory rated capacity of 270Ah as an example, the classification basis is briefly described. When the current capacity of this type of retired battery cell is Q≧130Ah, the battery is considered for cascade utilization, and when Q≦130Ah, the battery is considered for scrapping. When the retired battery is applied to the industrial and commercial energy storage industry, the battery cell is divided into 13 gears according to the battery capacity of the retired battery cell, and the battery cell is divided into 3 gears according to the remaining service life. The comprehensive gear is 13*3=39 gears. The specific classification is shown in the table below. For other types of battery cells, the battery can be classified according to its factory rated capacity and cascade utilization scenario.

[0146] Classification table of retired prismatic lithium iron phosphate cells with a factory rated capacity of 270Ah in the industrial and commercial energy storage industry

[0147]

[0148]

[0149] <Device Example>

[0150] The present disclosure also provides a device 700 for determining the remaining service life of a battery. Figure 7 As shown, it includes a first acquisition module 710, a determination module 720 and a second acquisition module 730.

[0151] A first acquisition module 710, used to acquire the charge and discharge parameters of the battery;

[0152] A determination module 720, configured to determine a decay rate of the battery according to the charge and discharge parameters;

[0153] The second acquisition module 730 is used to obtain the remaining service life of the battery according to the attenuation rate.

[0154] In one embodiment, the charge and discharge parameter includes an integrated area of ​​a discharge curve of the battery.

[0155] The device 700 also includes a test module (not shown in the figure), which is used to perform a charge and discharge test on the battery to obtain the first discharge data of the battery; wherein the first discharge data includes the voltage and discharge capacity of the battery at different times; based on the first discharge data, the total discharge capacity of the battery and the cumulative discharge capacity at different times are obtained; based on the total discharge capacity and the cumulative discharge capacity at different times, the power of the battery at different times is obtained; based on the voltage and power of the battery at different times, the discharge curve is obtained.

[0156] In one embodiment, the test module is specifically used to perform a charge and discharge test on the battery to obtain second discharge data of the battery; wherein the second discharge data includes the voltage and discharge capacity of the battery at different times; and interpolation processing is performed on the voltage and the discharge capacity in the second discharge data to obtain the first discharge data.

[0157] In one embodiment, the charge and discharge parameters include the integral area of ​​the discharge curve of the battery, and the determination module 720 is specifically used to determine the decay rate of the battery corresponding to the integral area based on the integral area of ​​the discharge curve of the battery and the first mapping data; wherein the first mapping data reflects the correspondence between the decay rate and the integral area of ​​the discharge curve.

[0158] In one embodiment, the second acquisition module 730 is specifically used to obtain the current health, end-of-life health, and rated capacity of the battery; and obtain the remaining service life of the battery based on the current health, the end-of-life health, the rated capacity, and the decay rate.

[0159] In one embodiment, the second acquisition module 730 is specifically configured to obtain, based on the current health, the end-of-life health, the rated capacity, and the decay rate, whether the remaining service life of the battery satisfies:

[0160]

[0161] Wherein, RUL is the remaining service life of the battery, SOH is the current health, and SOH 寿命终止 is the end-of-life health, Q 出厂 is the rated capacity, and k is the attenuation rate.

[0162] In one embodiment, the apparatus 700 further includes a classification module (not shown in the figure).

[0163] The classification module is used to obtain the battery capacity of the battery; and classify the battery according to the remaining service life and battery capacity of the battery.

[0164] In one embodiment, the charge and discharge parameters include the integral area of ​​the charging curve of the battery, and the determination module 720 is further used to determine the attenuation rate of the battery corresponding to the integral area based on the integral area of ​​the charging curve of the battery and second mapping data; wherein the second mapping data reflects the correspondence between the attenuation rate and the integral area of ​​the charging curve.

[0165] In one embodiment, the charge and discharge parameters include the integral area of ​​the charging curve and the integral area of ​​the discharging curve of the battery, and the determination module 720 is further used to determine the attenuation rate of the battery according to the area difference between the integral area of ​​the charging curve and the integral area of ​​the discharging curve.

[0166] In one embodiment, the charge and discharge parameters include the average charging internal resistance of the battery, and the determination module 720 is further used to determine the attenuation rate of the battery corresponding to the average charging internal resistance based on the average charging internal resistance of the battery and third mapping data; wherein the third mapping data reflects the corresponding relationship between the attenuation rate and the average charging internal resistance.

[0167] In one embodiment, the charge and discharge parameters include the average discharge internal resistance of the battery, and the determination module 720 is further used to determine the attenuation rate of the battery corresponding to the average discharge internal resistance based on the average discharge internal resistance of the battery and fourth mapping data; wherein the fourth mapping data reflects the corresponding relationship between the attenuation rate and the average discharge internal resistance.

[0168] In one embodiment, the charge and discharge parameters include an average charging internal resistance and an average discharging internal resistance of the battery, and the determination module 720 is further used to determine the attenuation rate of the battery according to the internal resistance difference between the average charging internal resistance and the average discharging internal resistance.

[0169] According to the embodiments of the present disclosure, the battery attenuation rate is determined through the battery charge and discharge parameters, and the battery remaining service life is determined based on the battery attenuation rate. Since battery deterioration will lead to increased battery polarization, the battery charge and discharge parameters will change to varying degrees. Through the embodiments of the present disclosure, the battery polarization is quantified based on the battery charge and discharge parameters. Different charge and discharge parameters correspond to different attenuation rates, and the battery remaining service life is determined based on the battery attenuation rate, thereby improving the accuracy of the estimated battery remaining service life.

[0170] <Electronic equipment>

[0171] In this embodiment, an electronic device 800 is also provided. Figure 8 As shown, it includes a memory 820 and a processor 810 .

[0172] The memory 820 is used to store an executable computer program; the computer program is used to control the processor 810 to execute any one of the methods for determining the remaining service life of a battery provided in this embodiment.

[0173] In this embodiment, the electronic device 800 may be Figure 1 The electronic device 1000 shown may also be a device with other hardware structures, which is not limited here.

[0174] In another embodiment, the electronic device 800 may include the above-mentioned device 700 for determining the remaining battery life.

[0175] <Computer Readable Storage Medium>

[0176] In this embodiment, a computer-readable storage medium is further provided, on which a computer program is stored. When the computer program is executed by a processor, the method of any embodiment of the present disclosure is implemented.

[0177] <Computer Program Product>

[0178] In this embodiment, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the method of any embodiment of the present disclosure is implemented.

[0179] The present invention may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present invention.

[0180] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical 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 of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0181] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0182] The computer program instructions for performing the operation of the present invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed entirely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be personalized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present invention.

[0183] Various aspects of the present invention are described herein with reference to the flow charts and / or block diagrams of the methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each box of the flow chart and / or block diagram and the combination of each box in the flow chart and / or block diagram can be implemented by computer-readable program instructions.

[0184] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0185] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0186] The flow charts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a part of a module, a program segment or an instruction, and a part of the module, a program segment or an instruction contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that it is equivalent to implement it by hardware, implement it by software, and implement it by combining software and hardware.

[0187] Embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements to the technology in the marketplace, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the present invention is defined by the appended claims.

Claims

1. A method for determining the remaining service life of a battery, characterized in that: The method comprises: Obtaining charging and discharging parameters of the battery; Determining the attenuation rate of the battery according to the charge and discharge parameters; The remaining service life of the battery is obtained according to the decay rate.

2. The method according to claim 1, characterized in that The charge and discharge parameters include the integrated area of ​​the discharge curve of the battery, Before acquiring the charge and discharge parameters of the battery, the method further includes: Performing a charge and discharge test on the battery to obtain first discharge data of the battery; wherein the first discharge data includes the voltage and discharge capacity of the battery at different times; Obtaining the total discharge capacity and the accumulated discharge capacity at different times of the battery according to the first discharge data; Obtaining the power of the battery at different times according to the total discharge capacity and the accumulated discharge capacity at different times; The discharge curve is obtained according to the voltage and power of the battery at different times.

3. The method according to claim 2, characterized in that The performing a charge and discharge test on the battery to obtain first discharge data of the battery includes: Performing a charge and discharge test on the battery to obtain second discharge data of the battery; wherein the second discharge data includes the voltage and discharge capacity of the battery at different times; The voltage and the discharge capacity in the second discharge data are interpolated to obtain the first discharge data.

4. The method according to claim 1, characterized in that: The charge and discharge parameters include the integrated area of ​​the discharge curve of the battery, Determining the attenuation rate of the battery according to the charge and discharge parameters includes: Determining, according to an integrated area of ​​a discharge curve of the battery and first mapping data, a decay rate of the battery corresponding to the integrated area; The first mapping data reflects the corresponding relationship between the decay rate and the integrated area of ​​the discharge curve.

5. The method according to claim 1, characterized in that The obtaining the remaining service life of the battery according to the attenuation rate includes: Obtaining the current health, end-of-life health, and rated capacity of the battery; The remaining service life of the battery is obtained according to the current health state, the end-of-life health state, the rated capacity, and the decay rate.

6. The method according to claim 5, characterized in that The remaining service life of the battery is obtained according to the current health, the end-of-life health, the rated capacity, and the decay rate, satisfying: Wherein, RUL is the remaining service life of the battery, SOH is the current health, and SOH 寿命终止 is the end-of-life health, Q 出厂 is the rated capacity, and k is the attenuation rate.

7. The method according to claim 1, characterized in that The method further comprises: Obtaining the battery capacity of the battery; The batteries are classified according to their remaining service life and battery capacity.

8. The method according to claim 1, characterized in that The charge and discharge parameters include the integrated area of ​​the charging curve of the battery, Determining the attenuation rate of the battery according to the charge and discharge parameters includes: determining, according to an integral area of ​​a charging curve of the battery and second mapping data, a decay rate of the battery corresponding to the integral area; The second mapping data reflects the corresponding relationship between the decay rate and the integrated area of ​​the charging curve.

9. The method according to claim 1, characterized in that: The charge and discharge parameters include the integral area of ​​the charge curve and the integral area of ​​the discharge curve of the battery, Determining the attenuation rate of the battery according to the charge and discharge parameters includes: The decay rate of the battery is determined according to an area difference between an integrated area of ​​the charging curve and an integrated area of ​​the discharging curve.

10. The method according to claim 1, characterized in that The charging and discharging parameters include the average charging internal resistance of the battery, Determining the attenuation rate of the battery according to the charge and discharge parameters includes: Determining, according to the average charging internal resistance of the battery and third mapping data, a decay rate of the battery corresponding to the average charging internal resistance; The third mapping data reflects the corresponding relationship between the attenuation rate and the average charging internal resistance.

11. The method according to claim 1, characterized in that: The charging and discharging parameters include the average discharge internal resistance of the battery, Determining the attenuation rate of the battery according to the charge and discharge parameters includes: determining, according to the average discharge internal resistance of the battery and fourth mapping data, a decay rate of the battery corresponding to the average discharge internal resistance; The fourth mapping data reflects the corresponding relationship between the attenuation rate and the average discharge internal resistance.

12. The method according to claim 1, characterized in that The charging and discharging parameters include the average charging internal resistance and the average discharging internal resistance of the battery. Determining the attenuation rate of the battery according to the charge and discharge parameters includes: The decay rate of the battery is determined according to the internal resistance difference between the charging average internal resistance and the discharging average internal resistance.

13. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory is used to store an executable computer program; and the computer program is used to control the processor to execute the method according to any one of claims 1 to 12.

14. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the method according to any one of claims 1 to 12 is implemented.

15. A computer program product, characterized in that The method comprises a computer program which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 12.

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