SOH calibration methods, devices, electronic equipment and dielectrics for energy storage battery systems

Abstract

This invention discloses a method, apparatus, electronic device, and medium for calibrating the State of Harmony (SOH) of an energy storage battery system. The SOH calibration method for the energy storage battery system includes: controlling the energy storage battery system to perform charge and discharge operations, and acquiring the initial SOH and initial State of Charge (SOC) at the start of the charge and discharge operations; the charge and discharge operations include charging or discharging; when the stop conditions for the charge and discharge operations are met, controlling the energy storage battery system to stop the charge and discharge operations, and acquiring the final SOC and the change in charge and discharge capacity at the end of the charge and discharge operations; determining a calculated SOH value based on the initial SOH, initial SOC, final SOC, and the change in charge and discharge capacity; and calibrating the current SOH based on the calculated SOH value, the initial SOH, and an adjustment coefficient when the deviation between the calculated SOH value and the initial SOH exceeds a preset deviation threshold. This invention enables online calibration of the SOH of the energy storage battery system, improving the dynamic adaptability and accuracy of the calibration scheme.

Description

Technical Field

[0001] This invention relates to the field of battery energy storage technology, and in particular to a method, apparatus, electronic device, and medium for SOH calibration of an energy storage battery system. Background Technology

[0002] The State of Health (SOH) of an energy storage battery system is an important parameter that can be used to determine the lifespan and functional status of the system.

[0003] Currently, the State of Health (SOH) of energy storage battery systems is typically calibrated using offline testing methods. Offline testing relies on cycle capacity decay data, requiring extensive BOL (Beginning of Life) and EOL (End of Life) test data from the energy storage battery system. However, due to limitations in testing time and conditions, existing technologies struggle to obtain large amounts of battery data under complex real-world environments as a foundation. Consequently, the accuracy of SOH calibration results for energy storage battery systems is low, failing to accurately reflect the degradation trend of the system's health status. Furthermore, online SOH estimation is not possible, resulting in poor dynamic adaptability of the calibration scheme. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and medium for calibrating the State of Harm (SOH) of an energy storage battery system, thereby enabling online calibration of the SOH of the energy storage battery system and improving the dynamic adaptability of the calibration scheme and the accuracy of the calibration results.

[0005] In a first aspect, embodiments of the present invention provide a method for SOH calibration of an energy storage battery system, comprising:

[0006] Control the energy storage battery system to perform charging and discharging operations, and obtain the initial SOH and initial SOC of the energy storage battery system at the start of the charging and discharging operation; wherein, the charging and discharging operation includes charging or discharging;

[0007] When the stopping conditions of the charging and discharging operation are met, the energy storage battery system is controlled to stop the charging and discharging operation, and the final SOC and the change in charging and discharging capacity of the energy storage battery system are obtained when the charging and discharging operation ends.

[0008] The calculated SOH value of the energy storage battery system is determined based on the initial SOH, the initial SOC, the final SOC, and the change in charge / discharge capacity.

[0009] When the deviation between the calculated SOH value and the initial SOH exceeds a preset deviation threshold, the current SOH of the energy storage battery system is calibrated based on the calculated SOH value, the initial SOH, and the adjustment coefficient.

[0010] Optionally, before controlling the energy storage battery system to perform charging and discharging operations, the method further includes:

[0011] Determine whether the SOH calibration enable condition is met;

[0012] If so, then control the energy storage battery system to perform charging and discharging operations;

[0013] If not, continue to determine whether the SOH calibration enable condition is met;

[0014] The SOH calibration enabling condition includes: the calculation error of the SOC of the energy storage battery system is less than a preset error threshold.

[0015] Optionally, the SOH calibration method for the energy storage battery system further includes:

[0016] If the deviation between the calculated SOH value and the initial SOH does not meet the deviation threshold condition, return to the step of determining whether the SOH calibration enable condition is met.

[0017] Optionally, the stopping condition for the charging and discharging operation includes: the change in the SOC of the energy storage battery system exceeds a preset threshold.

[0018] Optionally, the SOH value is calculated according to the following formula:

[0019] SOHcal=C*SOHold / (|SOCs-SOCe|*Cnom);

[0020] Wherein, SOHcal is the calculated SOH value, C is the change in charge / discharge capacity, SOHold is the initial SOH, SOCs is the initial SOC, SOCe is the final SOC, and Cnom is the nominal capacity of the energy storage battery system.

[0021] Optionally, the current SOH is calculated according to the following formula:

[0022] SOHnew=SOHold-k*(SOHold-SOHcal);

[0023] Wherein, SOHnew is the current SOH, SOHold is the initial SOH, k is the adjustment coefficient, and SOHcal is the calculated value of SOH.

[0024] Optionally, the determination of the adjustment coefficient may be based on at least one of the following: the accuracy of the SOC calculation of the energy storage battery system and the operating conditions under which the energy storage battery system is located.

[0025] Secondly, embodiments of the present invention also provide a SOH calibration device for an energy storage battery system, comprising:

[0026] A charge / discharge control module is used to control the energy storage battery system to perform charge / discharge operations, and to obtain the initial state of equilibrium (SOH) and initial state of charge (SOC) of the energy storage battery system at the start of the charge / discharge operation; wherein the charge / discharge operation includes charging or discharging.

[0027] The charge / discharge stop module is used to control the energy storage battery system to stop the charge / discharge operation when the stop conditions of the charge / discharge operation are met, and to obtain the final SOC and charge / discharge capacity change of the energy storage battery system when the charge / discharge operation ends.

[0028] The SOH calculation module is used to determine the SOH calculation value of the energy storage battery system based on the initial SOH, the initial SOC, the final SOC, and the charge / discharge capacity change.

[0029] The SOH calibration module is used to calibrate the current SOH of the energy storage battery system based on the calculated SOH, the initial SOH, and the adjustment coefficient when the deviation between the calculated SOH and the initial SOH exceeds a preset deviation threshold.

[0030] Thirdly, embodiments of the present invention also provide an electronic device, comprising:

[0031] At least one processor; and a memory communicatively connected to said at least one processor;

[0032] The memory stores a computer program that can be executed by the at least one processor, which is then executed by the at least one processor to enable the at least one processor to perform the SOH calibration method for the energy storage battery system provided in any embodiment of the present invention.

[0033] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing computer instructions, which are used to cause a processor to execute and implement the SOH calibration method for an energy storage battery system provided in any embodiment of the present invention.

[0034] The SOH calibration method for an energy storage battery system provided in this invention first sets a stop condition for the charging and discharging operation of the energy storage battery system. This increases the reliability of the SOC change determined based on the initial and final SOC, reduces the impact of SOC calculation errors on the SOH calibration process, and broadens the applicability of the SOH calibration method. Furthermore, the SOH of the energy storage battery system is only recalibrated when the deviation between the calculated SOH value and the initial SOH exceeds a preset deviation threshold. This effectively eliminates the influence of SOH calculation errors. By re-determining the current SOH of the energy storage battery system only when the health status of the energy storage battery system is clearly degraded, unexpected fluctuations in the SOH calibration value caused by directly calibrating the current SOH based on the SOH calculated value obtained after each charging and discharging operation can be avoided. Moreover, during SOH calibration, the calculated SOH value is adjusted based on an adjustment coefficient that characterizes the reliability of the calculated SOH value, making the final calibration result more accurate and more consistent with the actual health status of the energy storage battery system. Furthermore, for energy storage battery systems, this embodiment of the invention does not rely on offline testing based on cycle capacity decay table data, but instead performs online calibration of SOH based on the dynamic charge-discharge process, resulting in stronger dynamic adaptability. Therefore, compared to existing technologies, this embodiment of the invention can achieve online calibration of the SOH of energy storage battery systems, improving the dynamic adaptability of the calibration scheme and the accuracy of the calibration results.

[0035] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a schematic flowchart of a SOH calibration method for an energy storage battery system provided in an embodiment of the present invention;

[0038] Figure 2 This is a schematic flowchart of another SOH calibration method for an energy storage battery system provided in an embodiment of the present invention;

[0039] Figure 3 This is a schematic diagram of the SOH calibration device for an energy storage battery system provided in an embodiment of the present invention;

[0040] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0041] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0042] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0043] This invention provides a State of Health (SOH) calibration method for an energy storage battery system, suitable for online SOH calibration requirements of energy storage battery systems. This method can be executed by an SOH calibration device for the energy storage battery system, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 This is a schematic flowchart of a State of Health (SOH) calibration method for an energy storage battery system provided in an embodiment of the present invention. Figure 1 As shown, the SOH calibration method includes the following steps:

[0044] S110. Control the energy storage battery system to perform charging and discharging operations, and obtain the initial SOH and initial SOC of the energy storage battery system at the start of the charging and discharging operation; wherein, the charging and discharging operation includes charging or discharging.

[0045] This SOH calibration method can utilize any existing method to obtain the SOC value of the energy storage battery system. For example, during operation, the state of charge (SOC) of the energy storage battery system can be calibrated periodically to ensure that the SOC obtained during use accurately represents the battery's usage status, thereby guaranteeing the reliability of the SOH calibration results at different stages. In practical applications, the initial SOC value can be used to determine whether the current charge / discharge operation is charging or discharging. When the initial SOC is high, such as exceeding 50%, the energy storage battery system can be controlled to discharge; conversely, it can be charged.

[0046] For example, the initial SOH is the SOH value of the energy storage battery system before the start of this SOH calibration. If this SOH calibration is the first SOH calibration after the energy storage battery system leaves the factory, the initial SOH value is 100%; if this SOH calibration is not the first SOH calibration after the energy storage battery system leaves the factory, the initial SOH value is the SOH value determined during the previous SOH calibration, and the initial SOH is <100%. The SOH calibration of the energy storage battery system can be performed at a fixed frequency. For example, for energy storage battery systems with complex operating conditions, the time interval between two adjacent SOH calibrations can be set to be small; or, the SOH calibration of the energy storage battery system can also be performed according to conditions, such as when the cumulative charge or discharge of the energy storage battery system reaches a certain threshold. The specific calibration timing and SOH update frequency are not limited here.

[0047] S120. When the stopping conditions for charging and discharging operation are met, control the energy storage battery system to stop charging and discharging operation, and obtain the final SOC and the change in charging and discharging capacity of the energy storage battery system at the end of the charging and discharging operation.

[0048] The stopping condition for charging and discharging operations can be set based on the change in SOC (State of Charge) in the energy storage battery system during charging or discharging. For example, it can be set to the SOC change exceeding a preset threshold during the current charging and discharging operation. The preset threshold can be set to a relatively large percentage to minimize the impact of accidental factors and SOC calculation errors on the final calibration result. For instance, due to variations in the operating conditions of the energy storage battery system and the SOC calculation method, the SOC calculation result is usually not completely accurate. Taking a 1% SOC calculation error as an example, if the preset threshold is set small, such as only 10%, then a 1% calculation error represents a large proportion relative to a 10% charging and discharging range. With deviations in both the initial and final SOC calculation results, the reliability of the SOH (State of Health) calculated in this charging and discharging operation will further decrease. However, if the preset threshold is set large, such as above 50%, then a 1% or even 2% calculation error represents a small proportion relative to a 50% charging and discharging range, improving the reliability of the SOH calculated in this charging and discharging operation.

[0049] Therefore, by setting a preset threshold to define the effective charge-discharge calibration range of the energy storage battery system, and using relevant parameters of the charging or discharging process where the SOC change exceeds the effective charge-discharge calibration range for SOH calibration of the energy storage battery system, the calibration results can be made more accurate and reliable. For example, this preset threshold can be set according to the commonly used SOC range of the energy storage battery system, such as the difference between the commonly used lower limit and the commonly used upper limit of the SOC. Furthermore, this preset threshold can also be set according to the operating conditions of the energy storage battery system and the interval between SOC calibrations. For example, when the operating conditions are complex and / or the interval is long, a larger preset threshold can be set to cover a wider SOC range during calibration. Moreover, considering that the initial SOC of the energy storage battery system is usually not close to the limits of 100% or 0% at the start of calibration, to avoid situations where the SOC change cannot meet the effective charge-discharge calibration range, the preset threshold should not be set too high. For example, considering the above factors, the preset threshold can be selected within the range of 40%-70%.

[0050] S130. Determine the calculated SOH value of the energy storage battery system based on the initial SOH, initial SOC, final SOC, and the change in charge / discharge capacity.

[0051] Specifically, the SOC change during this charge / discharge operation can be determined based on the initial and final SOC. Based on this SOC change and the nominal capacity calibrated at the factory, the ideal capacity change of the energy storage battery system under this SOC change can be obtained. Based on the actual charge / discharge capacity change and the ideal capacity change during this operation, the health state degradation coefficient of the energy storage battery system under the current initial SOH condition can be calculated. Therefore, combining the degradation coefficient and the initial SOH recorded in S110, the calculated SOH value of the energy storage battery system can be determined.

[0052] S140. When the deviation between the calculated SOH value and the initial SOH exceeds the preset deviation threshold, the current SOH of the energy storage battery system is calibrated based on the calculated SOH value, the initial SOH, and the adjustment coefficient.

[0053] When the difference between the calculated SOH value and the initial SOH is small, firstly, it can be assumed that the health status of the energy storage battery system has not significantly deteriorated, and the initial SOH is still applicable; secondly, this small deviation may be caused by calculation errors in the SOH value, such as deviations in SOC calculation and the acquisition of charge / discharge capacity changes. Therefore, when the deviation between the calculated SOH value and the initial SOH exceeds a preset deviation threshold, it indicates that the health status of the energy storage battery system has indeed deteriorated to a certain extent. Recalibrating the SOH of the energy storage battery system at this point can eliminate the influence of the aforementioned error factors and avoid unexpected and frequent fluctuations in the SOH calibration value. For example, the preset deviation threshold can be selected according to actual needs, such as setting it to a value greater than 1%, like 3%.

[0054] In this step, the difference between the calculated SOH value and the initial SOH is multiplied by an adjustment coefficient to obtain the final determined SOH decay value of the energy storage battery system. The adjustment coefficient, less than 1, characterizes the reliability of the calculated SOH decay value, i.e., the reliability of the calculated SOH value. For example, when the calculated SOC of the energy storage battery system is highly accurate and / or the operating conditions of the energy storage battery system are of low complexity, the calculated SOH value can be considered relatively accurate and reliable, largely accurately representing the current SOH of the energy storage battery system. Under this condition, a larger adjustment coefficient can be set, for example, close to 1; conversely, a smaller adjustment coefficient can be set, for example, close to 0.

[0055] The SOH calibration method for an energy storage battery system provided in this invention first sets a stop condition for the charging and discharging operation of the energy storage battery system. This increases the reliability of the SOC change determined based on the initial and final SOC, reduces the impact of SOC calculation errors on the SOH calibration process, and broadens the applicability of the SOH calibration method. Furthermore, the SOH of the energy storage battery system is only recalibrated when the deviation between the calculated SOH value and the initial SOH exceeds a preset deviation threshold. This effectively eliminates the influence of SOH calculation errors. By re-determining the current SOH of the energy storage battery system only when the health status of the energy storage battery system is clearly degraded, unexpected fluctuations in the SOH calibration value caused by directly calibrating the current SOH based on the SOH calculated value obtained after each charging and discharging operation can be avoided. Moreover, during SOH calibration, the calculated SOH value is adjusted based on an adjustment coefficient that characterizes the reliability of the calculated SOH value, making the final calibration result more accurate and more consistent with the actual health status of the energy storage battery system. Furthermore, for energy storage battery systems, this embodiment of the invention does not rely on offline testing based on cycle capacity decay table data, but instead performs online calibration of SOH based on the dynamic charge-discharge process, resulting in stronger dynamic adaptability. Therefore, compared to existing technologies, this embodiment of the invention can achieve online calibration of the SOH of energy storage battery systems, improving the dynamic adaptability of the calibration scheme and the accuracy of the calibration results.

[0056] Figure 2 This is a schematic flowchart of another SOH calibration method for an energy storage battery system provided in an embodiment of the present invention. See also Figure 2 In one embodiment, the SOH calibration method optionally includes:

[0057] S210. Determine whether the SOH calibration enable condition is met; if yes, execute S220; if no, return to execute S210.

[0058] The SOH calibration enabling condition can include: the calculation error of the SOC of the energy storage battery system is less than a preset error threshold. As the above analysis shows, the accuracy of the SOH calibration of the energy storage battery system is closely related to the accuracy of the SOC calculation. When the accuracy of the SOC calculation is high, the reliability of the SOC change before charging and discharging and the SOH calculation value are both high, and the accuracy of the SOH calibration result is also higher. Therefore, before performing SOH calibration, judging whether the SOC of the energy storage battery system is accurate can ensure the accuracy of the SOH calibration. When the SOH calibration enabling condition is not met, the reliability of the SOH calibration result is difficult to guarantee, so there is no need to perform subsequent steps. For example, if the SOH calibration enabling condition is still not met after multiple judgments, the SOH calibration process can be forcibly terminated.

[0059] S220: Record the initial SOH and initial SOC of the energy storage battery system, and control the energy storage battery system to perform charging and discharging operations.

[0060] S230. Record the cumulative charge and discharge capacity during this charge and discharge operation.

[0061] This step can be performed in real time during the charging and discharging operation, or at a preset frequency. The cumulative charging and discharging capacity can be understood as the difference between the current capacity of the energy storage battery system and its initial capacity before the charging and discharging operation. Specifically, this step can involve recording the current capacity of the energy storage battery system and subtracting the initial capacity to obtain the cumulative charging and discharging capacity.

[0062] S240. Determine whether the SOC change of the energy storage battery system exceeds the preset threshold; if yes, proceed to S250; if no, return to S230.

[0063] Specifically, this step may involve recording the current SOC of the energy storage battery system, subtracting the initial SOC from the current SOC to obtain the SOC change, and comparing the SOC change with a preset threshold. During charging, the SOC change represents the increase in SOC; during discharging, the SOC change represents the decrease in SOC. The preset thresholds for charging and discharging can be the same or different, depending on actual needs.

[0064] For example, when the current SOC of the energy storage battery system has been charged to 100% or discharged to 0%, if the change in SOC has not yet reached the preset threshold, it can be forced to return to S210 to recalibrate the SOH.

[0065] S250: Control the energy storage battery system to stop charging and discharging operations, and obtain the final SOC and charge / discharge capacity change of the energy storage battery system when the charging and discharging operation ends.

[0066] The change in charge / discharge capacity is the cumulative charge / discharge capacity recorded at the end of the charge / discharge operation.

[0067] S260, Calculate the SOH value of the energy storage battery system.

[0068] The specific SOH value can be calculated using the following formula:

[0069] SOHcal=C*SOHold / (|SOCs-SOCe|*Cnom);

[0070] Where SOHcal is the calculated SOH value, C is the change in charge / discharge capacity, SOHold is the initial SOH, SOCs is the initial SOC, SOCe is the final SOC, and Cnom is the nominal capacity of the energy storage battery system at the time of manufacture.

[0071] S270. Determine whether the difference between the initial SOH and the calculated SOH exceeds the preset deviation threshold; if yes, execute S280; if no, return to execute S210.

[0072] For example, if the calculated SOH value obtained after multiple charge and discharge operations is still small in deviation from the initial SOH, it can be considered that the SOH of the energy storage battery system has not decayed since the last SOH calibration, and the initial SOH is still used as the current SOH and the calibration ends.

[0073] S280, calibrating the current SOH of the energy storage battery system.

[0074] The current SOH can be calculated using the following formula:

[0075] SOHnew=SOHold-k*(SOHold-SOHcal);

[0076] Where SOHnew is the current SOH, SOHold is the initial SOH, k is the adjustment coefficient, and SOHcal is the calculated value of SOH.

[0077] For example, the determination of the adjustment factor k is based on at least one of the following: the accuracy of the SOC calculation of the energy storage battery system and the operating conditions of the energy storage battery system. For example, the accuracy of the SOC calculation may be related to the time interval for SOC calibration of the energy storage battery system, as well as the SOC calibration strategy and calculation method used. The operating conditions of the energy storage battery system include, for example, temperature, system start-up and shutdown frequency, and the charging and discharging frequency of each battery in the system.

[0078] This invention provides a specific SOH calibration method for an energy storage battery system via steps S210-S280. This method is highly compatible and applicable to almost all energy storage charge and discharge systems. It does not rely on offline cell SOH test data, enabling online SOH calibration and exhibiting good dynamic adaptability.

[0079] This invention also provides a State of Health (SOH) calibration device for an energy storage battery system, which can execute the SOH calibration method for the energy storage battery system provided in any embodiment of this invention, and has the corresponding functional modules and beneficial effects of the method. Figure 3 This is a schematic diagram of the SOH calibration device for an energy storage battery system provided in an embodiment of the present invention. See also... Figure 3The SOH calibration device includes: a charge / discharge control module 310, a charge / discharge stop module 320, an SOH calculation module 330, and an SOH calibration module 340.

[0080] The charging / discharging control module 310 controls the energy storage battery system to perform charging and discharging operations, and acquires the initial SOH and initial SOC of the energy storage battery system at the start of the charging / discharging operation; wherein the charging / discharging operation includes charging or discharging. The charging / discharging stop module 320 controls the energy storage battery system to stop the charging / discharging operation when the stop conditions of the charging / discharging operation are met, and acquires the final SOC and the change in charging / discharging capacity of the energy storage battery system at the end of the charging / discharging operation. The SOH calculation module 330 determines the calculated SOH value of the energy storage battery system based on the initial SOH, initial SOC, final SOC, and the change in charging / discharging capacity. The SOH calibration module 340 calibrates the current SOH of the energy storage battery system based on the calculated SOH value, the initial SOH, and an adjustment coefficient when the deviation between the calculated SOH value and the initial SOH exceeds a preset deviation threshold.

[0081] Based on the above embodiments, optionally, the SOH calibration device of the energy storage battery system further includes an enable judgment module, used to determine whether the SOH calibration enable condition is met; if so, the energy storage battery system is controlled to perform charging and discharging operations; if not, the SOH calibration enable condition is further determined. The SOH calibration enable condition includes: the calculation error of the SOC of the energy storage battery system is less than a preset error threshold.

[0082] Based on the above embodiments, optionally, the enable judgment module is also used to return to the step of judging whether the SOH calibration enable condition is met when the deviation between the calculated SOH value and the initial SOH does not meet the deviation threshold condition.

[0083] Based on the above embodiments, optionally, the SOH calculation module 330 is specifically used to calculate the SOH value according to the following formula:

[0084] SOHcal=C*SOHold / (|SOCs-SOCe|*Cnom);

[0085] Where SOHcal is the calculated SOH value, C is the change in charge / discharge capacity, SOHold is the initial SOH, SOCs is the initial SOC, SOCe is the final SOC, and Cnom is the nominal capacity of the energy storage battery system.

[0086] Based on the above embodiments, optionally, the SOH calibration module 340 is specifically used to calculate the current SOH according to the following formula:

[0087] SOHnew=SOHold-k*(SOHold-SOHcal);

[0088] Where SOHnew is the current SOH, SOHold is the initial SOH, k is the adjustment coefficient, and SOHcal is the calculated value of SOH.

[0089] This invention also provides an electronic device for executing the SOH calibration method for the energy storage battery system provided in any embodiment of this invention, which has corresponding beneficial effects. Figure 4 A schematic diagram of an electronic device 10, which can be used to implement embodiments of the present invention, is shown. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device 10 may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0090] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0091] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0092] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the SOH calibration method for an energy storage battery system.

[0093] In some embodiments, the SOH calibration method for the energy storage battery system may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the SOH calibration method for the energy storage battery system described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the SOH calibration method for the energy storage battery system by any other suitable means (e.g., by means of firmware).

[0094] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0095] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0096] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0097] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0098] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0099] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0100] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0101] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for SOH calibration of an energy storage battery system, characterized by, The method comprises the following steps: controlling the energy storage battery system to perform a charge-discharge operation, and obtaining a starting SOH and a starting SOC of the energy storage battery system at the beginning of the charge-discharge operation; wherein the charge-discharge operation comprises charging or discharging; controlling the energy storage battery system to stop the charge-discharge operation when a stop condition of the charge-discharge operation is met, and obtaining an ending SOC and a charge-discharge capacity change of the energy storage battery system at the end of the charge-discharge operation; determining an SOH calculation value of the energy storage battery system according to the starting SOH, the starting SOC, the ending SOC and the charge-discharge capacity change; the SOH calculation value is calculated according to the following formula: SOHcal=C×SOHold / (|SOCs-SOCe|×Cnom); wherein SOHcal is the SOH calculation value, C is the charge-discharge capacity change, SOHold is the starting SOH, SOCs is the starting SOC, SOCe is the ending SOC, and Cnom is a nominal capacity of the energy storage battery system; when a deviation between the SOH calculation value and the starting SOH exceeds a preset deviation threshold, calibrating a current SOH of the energy storage battery system according to the SOH calculation value, the starting SOH and an adjustment coefficient; the current SOH is calculated according to the following formula: SOHnew=SOHold-k×(SOHold-SOHcal); wherein SOHnew is the current SOH, SOHold is the starting SOH, k is the adjustment coefficient, and SOHcal is the SOH calculation value.

2. The SOH calibration method of an energy storage battery system according to claim 1, wherein, Before controlling the energy storage battery system to perform the charge-discharge operation, the method further comprises the following steps: determining whether an SOH calibration enabling condition is met; if yes, controlling the energy storage battery system to perform the charge-discharge operation; if no, continuing to determine whether the SOH calibration enabling condition is met; wherein the SOH calibration enabling condition comprises that a calculation error of an SOC of the energy storage battery system is less than a preset error threshold.

3. The SOH calibration method of an energy storage battery system according to claim 2, wherein, The method further comprises the following step: when a deviation between the SOH calculation value and the starting SOH does not meet a deviation threshold condition, returning to the step of determining whether the SOH calibration enabling condition is met.

4. The SOH calibration method of an energy storage battery system according to claim 1, wherein, The stop condition of the charge-discharge operation comprises that an SOC change of the energy storage battery system exceeds a preset threshold.

5. The SOH calibration method of an energy storage battery system according to claim 1, wherein, The determination basis of the adjustment coefficient comprises at least one of a calculation accuracy of an SOC of the energy storage battery system and an operating condition in which the energy storage battery system is located.

6. An SOH calibration device for an energy storage battery system, characterized by, The method comprises the following steps: a charge-discharge control module, configured to control the energy storage battery system to perform a charge-discharge operation, and obtain a starting SOH and a starting SOC of the energy storage battery system at the beginning of the charge-discharge operation; wherein the charge-discharge operation comprises charging or discharging; a charge-discharge stop module, configured to control the energy storage battery system to stop the charge-discharge operation when a stop condition of the charge-discharge operation is met, and obtain an ending SOC and a charge-discharge capacity change of the energy storage battery system at the end of the charge-discharge operation; The SOH calculation module is configured to determine an SOH calculation value of the energy storage battery system according to the initial SOH, the initial SOC, the final SOC, and the charge-discharge capacity change amount. The SOH calculation value is calculated according to the following formula: SOHcal = C × SOHold / (|SOCs - SOCe| × Cnom), wherein SOHcal is the SOH calculation value, C is the charge-discharge capacity change amount, SOHold is the initial SOH, SOCs is the initial SOC, SOCe is the final SOC, and Cnom is the nominal capacity of the energy storage battery system. The SOH calibration module is configured to calibrate a current SOH of the energy storage battery system according to the SOH calculation value, the initial SOH, and an adjustment coefficient when a deviation between the SOH calculation value and the initial SOH exceeds a preset deviation threshold. The current SOH is calculated according to the following formula: SOHnew = SOHold - k × (SOHold - SOHcal), wherein SOHnew is the current SOH, SOHold is the initial SOH, k is the adjustment coefficient, and SOHcal is the SOH calculation value.

7. An electronic device, comprising: The SOH calibration method of the energy storage battery system includes: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the SOH calibration method of the energy storage battery system according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for causing the processor to execute the SOH calibration method of the energy storage battery system according to any one of claims 1-5 when executed.

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