Information processing method for energy storage system and energy storage system

Abstract

This application provides an information processing method for an energy storage system and an energy storage system in general. The method includes: acquiring EIS excitation parameters; determining at least one task coordination strategy corresponding to the EIS excitation parameters from a preset task coordination strategy pool based on the EIS excitation parameters; issuing the EIS excitation parameters and at least one task coordination strategy to the battery control unit corresponding to at least one battery cell in the energy storage system; and having each battery control unit execute an EIS measurement task and a preset protection sampling task based on the EIS excitation parameters and the respective task coordination strategies. This application achieves compatible operation of EIS measurement tasks and protection sampling tasks, eliminates interference from EIS excitation on protection sampling, prevents EIS excitation from causing false protection tripping, and ensures that genuine safety events are not missed. Furthermore, the energy storage system does not need to be shut down during the execution of the EIS measurement task, thus ensuring the availability of the energy storage system.

Description

Technical Field

[0001] This application relates to the field of battery management system technology, and more specifically, to an information processing method for an energy storage system and an energy storage system. Background Technology

[0002] Online electrochemical impedance spectroscopy (EIS) measurements achieve impedance measurement by injecting AC excitation into the energy storage system and acquiring the response. However, this excitation superimposes AC fluctuations onto the energy storage terminal voltage. The energy storage management system (BMS) protects the sampling task by continuously monitoring voltage, current, and temperature with high priority, triggering a trip if a threshold is exceeded.

[0003] When the EIS disturbance signal and the characteristic range of the protection criterion overlap in the time and frequency domain, if the protection logic cannot effectively distinguish between the disturbance and the actual fault, it may cause unplanned tripping and reduce system reliability.

[0004] However, current technologies cannot achieve compatible operation of EIS measurements while ensuring that the protection function is not interfered with. Summary of the Invention

[0005] The purpose of this application is to address the shortcomings of the prior art by providing an information processing method and an energy storage system for an energy storage system, thereby solving the problem that the prior art cannot achieve compatible operation of EIS measurements while ensuring that the protection function is not interfered with.

[0006] To achieve the above objectives, the technical solutions adopted in the embodiments of this application are as follows: In a first aspect, one embodiment of this application provides an information processing method for an energy storage system, the method comprising: Obtain the EIS excitation parameters, which include at least the frequency and amplitude. Based on the EIS excitation parameters, at least one task coordination strategy corresponding to the EIS excitation parameters is determined from the preset task coordination strategy pool. The task coordination strategy is used to coordinate the EIS measurement task and the protection sampling task. The system sends EIS excitation parameters and at least one task coordination strategy to the battery control unit corresponding to at least one battery cell in the energy storage system. Each battery control unit then performs EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the task coordination strategies.

[0007] As one possible implementation, based on the EIS stimulus parameters, at least one task coordination strategy corresponding to the EIS stimulus parameters is determined from a preset task coordination strategy pool, including: Determine the amplitude type and frequency type based on the EIS excitation parameters; Based on the amplitude type and frequency type, at least one task coordination strategy corresponding to the EIS excitation parameters is determined from the preset task coordination strategy pool.

[0008] As one possible implementation, based on EIS excitation parameters and task coordination strategies, EIS measurement tasks and preset protection sampling tasks are executed, including: If the task coordination strategy includes a protection grace period strategy, keep the preset threshold of the first type of protection item unchanged to obtain the target value of the first type of protection item, and adjust the threshold of the second type of protection item corresponding to the protection sampling task according to the EIS excitation parameters to obtain the target value of the second type of protection item. Based on the EIS excitation parameters, the target values ​​of the first type of protection item, and the target values ​​of the second type of protection item, perform the EIS measurement task and the preset protection sampling task.

[0009] As one possible implementation, the first type of protection includes at least short-circuit protection and thermal runaway protection.

[0010] As one possible implementation, based on the EIS excitation parameters, the threshold of the second type of protection item corresponding to the protection sampling task is adjusted to obtain the target value of the second type of protection item, including: Based on the frequency, amplitude, and battery impedance model of the battery cell, the voltage fluctuation information is determined; Determine the current increment information based on the amplitude; Based on voltage fluctuation information and / or current increment information, adjust the threshold of the second type of protection item corresponding to the protection sampling task to obtain the target value of the second type of protection item.

[0011] As one possible implementation, based on EIS excitation parameters and task coordination strategies, EIS measurement tasks and preset protection sampling tasks are executed, including: If the task coordination strategy includes a response filtering strategy, and the protection sampling task and EIS measurement execution are performed in parallel, the execution process of the protection sampling task includes: The AC component is calculated based on the battery impedance model of the battery cell and the EIS excitation parameters. Acquire protection sampling data and determine the net voltage based on the protection sampling data and the AC component; Based on the net voltage, determine whether to trigger a protection alarm.

[0012] As one possible implementation, based on EIS excitation parameters and task coordination strategies, EIS measurement tasks and preset protection sampling tasks are executed, including: If the task coordination strategy includes a time-division multiplexing strategy, the EIS measurement task and the preset protection sampling task will be executed alternately based on the EIS excitation parameters and the preset alternation sequence.

[0013] As one possible implementation, based on EIS excitation parameters and a preset alternation sequence, EIS measurement tasks and preset protection sampling tasks are performed, including: Based on the alternation sequence, the first time period for performing EIS measurement tasks and the second time period for performing protection sampling tasks are determined in the current cycle; In the first time period, the EIS measurement task is performed according to the EIS excitation parameters; In the second time period, the protection sampling task is performed according to the preset protection sampling threshold.

[0014] As one possible implementation, the method also includes: If the length of the first time period does not meet the first preset condition and / or the length of the current period does not meet the second preset condition, then the time-division multiplexing strategy will be replaced by the response filtering strategy, or the time-division multiplexing strategy will be stopped.

[0015] Secondly, another embodiment of this application provides an information processing device for an energy storage system, the device comprising: The acquisition module is used to acquire EIS excitation parameters, which include at least frequency and amplitude. The determination module is used to determine at least one task coordination strategy corresponding to the EIS excitation parameters from a preset task coordination strategy pool based on the EIS excitation parameters. The task coordination strategy is used to coordinate the EIS measurement task and the protection sampling task. The distribution module is used to distribute EIS excitation parameters and at least one task coordination strategy to the battery control unit corresponding to at least one battery unit in the energy storage system. Each battery control unit performs EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the task coordination strategies.

[0016] As one possible implementation, a module is defined, specifically for: Determine the amplitude type and frequency type based on the EIS excitation parameters; Based on the amplitude type and frequency type, at least one task coordination strategy corresponding to the EIS excitation parameters is determined from the preset task coordination strategy pool.

[0017] As one possible implementation, a distribution module is used specifically for: If the task coordination strategy includes a protection grace period strategy, keep the preset threshold of the first type of protection item unchanged to obtain the target value of the first type of protection item, and adjust the threshold of the second type of protection item corresponding to the protection sampling task according to the EIS excitation parameters to obtain the target value of the second type of protection item. Based on the EIS excitation parameters, the target values ​​of the first type of protection item, and the target values ​​of the second type of protection item, perform the EIS measurement task and the preset protection sampling task.

[0018] As one possible implementation, the first type of protection includes at least short-circuit protection and thermal runaway protection.

[0019] As one possible implementation, a distribution module is used specifically for: Based on the frequency, amplitude, and battery impedance model of the battery cell, the voltage fluctuation information is determined; Determine the current increment information based on the amplitude; Based on voltage fluctuation information and / or current increment information, adjust the threshold of the second type of protection item corresponding to the protection sampling task to obtain the target value of the second type of protection item.

[0020] As one possible implementation, a distribution module is used specifically for: If the task coordination strategy includes a response filtering strategy, and the protection sampling task and EIS measurement execution are performed in parallel, the execution process of the protection sampling task includes: The AC component is calculated based on the battery impedance model of the battery cell and the EIS excitation parameters. Acquire protection sampling data and determine the net voltage based on the protection sampling data and the AC component; Based on the net voltage, determine whether to trigger a protection alarm.

[0021] As one possible implementation, a distribution module is used specifically for: If the task coordination strategy includes a time-division multiplexing strategy, the EIS measurement task and the preset protection sampling task will be executed alternately based on the EIS excitation parameters and the preset alternation sequence.

[0022] As one possible implementation, a distribution module is used specifically for: Based on the alternation sequence, the first time period for performing EIS measurement tasks and the second time period for performing protection sampling tasks are determined in the current cycle; In the first time period, the EIS measurement task is performed according to the EIS excitation parameters; In the second time period, the protection sampling task is performed according to the preset protection sampling threshold.

[0023] As one possible implementation, the distribution module is also used for: If the length of the first time period does not meet the first preset condition and / or the length of the current period does not meet the second preset condition, then the time-division multiplexing strategy will be replaced by the response filtering strategy, or the time-division multiplexing strategy will be stopped.

[0024] Thirdly, another embodiment of this application provides an electronic device, including: a processor, a storage medium, and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of any of the methods described in the first aspect above.

[0025] Fourthly, another embodiment of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of any of the methods described in the first aspect above.

[0026] The beneficial effects of this application are as follows: By acquiring EIS excitation parameters and determining at least one task coordination strategy corresponding to the EIS excitation parameters from a preset task coordination strategy pool based on these parameters, the EIS excitation parameters and at least one task coordination strategy are sent to the battery control unit corresponding to at least one battery cell in the energy storage system. Each battery control unit then executes EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the respective task coordination strategies. This allows for the matching of at least one corresponding task coordination strategy through the EIS excitation parameters, and the execution of EIS measurement tasks and preset protection sampling tasks based on these strategies. This achieves compatible operation of EIS measurement tasks and protection sampling tasks, eliminates interference from EIS excitation on protection sampling, prevents false tripping of protection due to EIS excitation, and ensures that genuine safety events are not missed. Furthermore, the energy storage system does not need to be shut down during the execution of the EIS measurement task, thus ensuring the availability of the energy storage system. Attached Figure Description

[0027] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A schematic diagram of the structure of an energy storage system provided in an embodiment of this application; Figure 2 A flowchart illustrating an information processing method for an energy storage system provided in an embodiment of this application; Figure 3 A flowchart illustrating the process of determining at least one task coordination strategy corresponding to EIS excitation parameters in the information processing method of the energy storage system provided in this application embodiment; Figure 4 This is a flowchart illustrating the execution of an EIS measurement task and a preset protection sampling task in the information processing method of the energy storage system provided in this application embodiment. Figure 5 This is a flowchart illustrating the process of adjusting the threshold of the second type of protection item corresponding to the protection sampling task in the information processing method of the energy storage system provided in this application embodiment; Figure 6 This is another flowchart illustrating the execution of EIS measurement tasks and preset protection sampling tasks in the information processing method of the energy storage system provided in the embodiments of this application. Figure 7 A schematic diagram of an information processing device for an energy storage system provided in an embodiment of this application; Figure 8 This is a schematic diagram of the electronic device structure provided in an embodiment of this application. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0030] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0031] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0032] When the electrochemical impedance spectroscopy (EIS) disturbance signal overlaps with the characteristic range of the protection criterion in the time-frequency domain, if the protection logic cannot effectively distinguish between the disturbance and a real fault, it may cause unplanned tripping and reduce system reliability. To address this problem, existing technologies typically provide the following solutions: Method 1: Perform EIS during shutdown. Specifically, EIS is performed when the battery exits normal charging and discharging conditions and enters a quiescent state. However, in this method, the battery cannot be charged or discharged during EIS, affecting the availability of the energy storage system; at the same time, the energy storage system may not be quiescent for a long time, making online EIS impossible; in addition, frequent shutdowns for EIS reduce system profitability.

[0033] Method 2: Reduce the EIS excitation amplitude to avoid affecting protection. Specifically, limit the EIS excitation amplitude to a very small range (e.g., 0.01C) so that AC fluctuations do not trigger the protection threshold. However, in this method, a small excitation amplitude results in a low signal-to-noise ratio and poor impedance measurement accuracy; at the same time, for large-capacity battery clusters, the response signal of a small-amplitude excitation is overwhelmed by noise; furthermore, it limits EIS to qualitative detection only, and prevents precise impedance spectrum analysis.

[0034] Method 3: EIS and protection operate independently without coordination. Specifically, the BMS runs EIS measurement and protection sampling simultaneously without any timing coordination. However, in this method, EIS AC excitation may cause the terminal voltage to momentarily exceed the overvoltage protection threshold, triggering false tripping; simultaneously, EIS AC current may cause the charging and discharging current to momentarily exceed the overcurrent protection threshold; furthermore, protection sampling may capture the peak or valley values ​​of the EIS AC component, leading to protection maloperation.

[0035] Therefore, existing technologies cannot achieve compatible operation of EIS measurements while ensuring that the protection function is not interfered with.

[0036] To address the aforementioned issues, this application provides an information processing method for an energy storage system. By acquiring EIS excitation parameters and determining the corresponding task coordination strategy from the task coordination strategy pool based on these parameters, the method sends the EIS excitation parameters and the task coordination strategy to the corresponding battery control unit in the energy storage system. This enables the execution of EIS measurement tasks and preset protection sampling tasks, thereby achieving compatible operation of EIS measurement tasks and protection sampling tasks, eliminating interference from EIS excitation on protection sampling, preventing EIS excitation from causing false tripping of protection circuits, and ensuring that genuine safety events are not missed.

[0037] First, the energy storage system involved in the information processing method of the energy storage system provided in the embodiments of this application will be described.

[0038] Figure 1 A schematic diagram of an energy storage system provided in an embodiment of this application is shown below. Figure 1 As shown, the energy storage system includes at least: a processing unit, at least one battery cell, and a battery control unit corresponding to each battery cell.

[0039] The battery unit can be a unit that includes battery cells, such as a battery pack, battery module, or battery cluster. The battery unit can be charged and discharged under the control of the corresponding battery control unit.

[0040] The battery control unit is the control unit corresponding to the battery cell. For example, taking the battery cell as a battery cluster, the battery control unit can be a BCU (Battery Control Unit) or a BMU (Battery Management Unit).

[0041] The processing unit can be a battery management system (BMS).

[0042] For example, the energy storage system may include: a processing unit, multiple battery cells, and a battery control unit corresponding to each battery cell. The processing unit is connected to each battery control unit, and each battery control unit is connected to its corresponding battery cell.

[0043] It is understood that a battery cell has impedance characteristics covering a wide frequency range, and EIS measurement involves sampling several frequency points from these characteristics. This application's embodiment uses a single EIS measurement task at one frequency point as an example for illustration.

[0044] For example, if a battery cell is equipped with multiple EIS measurement tasks, and each EIS measurement task corresponds to a frequency point, the information processing method of the energy storage system provided in this application embodiment can be executed for each EIS measurement task to achieve compatible operation of EIS measurement tasks and protection sampling tasks.

[0045] Among them, the protection sampling task refers to the system protection task performed by the battery control unit, including electrical protection sub-tasks, thermal management protection sub-tasks, and system diagnostic protection sub-tasks.

[0046] For example, electrical protection subtasks include: overvoltage protection, undervoltage protection, overcurrent protection, short circuit protection, and insulation resistance protection. Thermal management protection subtasks include: thermal runaway protection and temperature difference protection. System diagnostic protection subtasks include: relay sticking detection and communication timeout protection.

[0047] Among them, the EIS measurement task refers to a complete electrochemical impedance spectroscopy data acquisition and processing process.

[0048] The information processing method of the energy storage system provided in this application will be described in detail below with reference to several embodiments.

[0049] Figure 2 A flowchart illustrating an information processing method for an energy storage system provided in this application embodiment is shown below. Figure 2 As shown, the execution entity of this method can be the aforementioned processing unit, and the method includes: S201. Obtain EIS excitation parameters.

[0050] The EIS excitation parameters include at least the frequency f and the amplitude I_ac.

[0051] Specifically, frequency indicates the number of times the signal injected into the battery repeats itself within one second. Amplitude indicates the magnitude of the injected sinusoidal signal.

[0052] Optionally, the EIS excitation parameters may also include phase, voltage fluctuation information, duration, waveform type, and superposition method.

[0053] S202. Based on the EIS stimulus parameters, determine at least one task coordination strategy corresponding to the EIS stimulus parameters from the preset task coordination strategy pool.

[0054] Optionally, after obtaining the EIS stimulus parameters, at least one task coordination strategy can be matched from a preset task coordination strategy pool based on the EIS stimulus parameters.

[0055] For example, the task coordination strategy pool stores multiple task coordination strategies and combinations of EIS stimulus parameters corresponding to each task coordination strategy. After obtaining the EIS stimulus parameters, at least one task coordination strategy can be matched from the task coordination strategies.

[0056] Among them, the task coordination strategy is used to coordinate EIS measurement tasks and protection sampling tasks.

[0057] In one example, the task coordination strategy is used to indicate the execution order, connection method, execution duration, etc. between EIS measurement tasks and protection sampling tasks.

[0058] In another example, the task coordination strategy is used to adjust relevant parameters in the EIS measurement task, and / or, to adjust relevant parameters in the protection sampling task.

[0059] S203. Send EIS excitation parameters and at least one task coordination strategy to the battery control unit corresponding to at least one battery unit in the energy storage system. Each battery control unit performs EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the task coordination strategies.

[0060] Optionally, after determining the task coordination strategy, EIS excitation parameters and at least one task coordination strategy are sent to the battery control unit corresponding to at least one battery unit in the energy storage system. Each battery control unit then performs EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the task coordination strategies.

[0061] In one example, each battery control unit executes the EIS measurement task and the preset protection sampling task based on the EIS excitation parameters and the execution order, connection method, and execution duration of the EIS measurement task and protection sampling task indicated by each task coordination strategy.

[0062] In another example, each battery control unit adjusts and executes parameters based on EIS excitation parameters and parameter adjustment information indicated by each task coordination strategy during the execution of EIS measurement tasks and preset protection sampling tasks.

[0063] In this embodiment, by acquiring EIS excitation parameters and determining at least one task coordination strategy corresponding to the EIS excitation parameters from a preset task coordination strategy pool, the EIS excitation parameters and at least one task coordination strategy are sent to the battery control unit corresponding to at least one battery cell in the energy storage system. Each battery control unit then executes an EIS measurement task and a preset protection sampling task based on the EIS excitation parameters and the respective task coordination strategies. This allows for the matching of at least one corresponding task coordination strategy through the EIS excitation parameters, and the execution of the EIS measurement task and the preset protection sampling task based on these strategies. This achieves compatible operation of the EIS measurement task and the protection sampling task, eliminates interference from EIS excitation on protection sampling, prevents false tripping of protection due to EIS excitation, and ensures that genuine safety events are not missed. Furthermore, the energy storage system does not need to be shut down during the execution of the EIS measurement task, thus ensuring the availability of the energy storage system.

[0064] In one possible implementation, Figure 3A flowchart illustrating the process of determining at least one task coordination strategy corresponding to EIS excitation parameters in the information processing method of the energy storage system provided in this application embodiment, with reference to... Figure 3 As shown, in step S202 above, determining at least one task coordination strategy corresponding to the EIS stimulus parameters from a preset task coordination strategy pool based on the EIS stimulus parameters includes: S301. Determine the amplitude type and frequency type based on the EIS excitation parameters.

[0065] Optionally, the frequency in the EIS excitation parameters is compared with a preset frequency threshold to determine the frequency type, and the amplitude in the EIS excitation parameters is compared with a preset amplitude threshold to determine the amplitude type.

[0066] For example, if the frequency is less than 10 Hz, the frequency type is determined to be low frequency; if the frequency is greater than 10 Hz and less than 1 kHz, the frequency type is determined to be mid frequency; and if the frequency is greater than 1 kHz, the frequency type is determined to be high frequency.

[0067] For example, the frequency mode can also be obtained. If the frequency mode is a frequency sweep, then the frequency type can be determined to be a frequency sweep.

[0068] For example, if the amplitude is greater than 0.1C, the amplitude type is determined to be large amplitude; if the amplitude is less than 0.05C, the amplitude type is determined to be small amplitude.

[0069] In one example, if the amplitude is less than 0.1C and greater than 0.05C, the amplitude type is determined to be medium amplitude. In another example, if the frequency type is intermediate frequency, the amplitude type is determined to be medium amplitude.

[0070] S302. Based on the amplitude type and frequency type, determine at least one task coordination strategy corresponding to the EIS excitation parameters from the preset task coordination strategy pool.

[0071] Optionally, if the frequency type is low frequency and the amplitude type is large amplitude, the at least one task coordination strategy corresponding to the EIS excitation parameters is determined to be: a protection grace period strategy and a response filtering strategy.

[0072] Optionally, if the frequency type is high frequency and the amplitude type is small amplitude, the task coordination strategy corresponding to the EIS excitation parameters is determined to be: time-division multiplexing strategy.

[0073] Optionally, if the frequency type is low frequency and the amplitude type is large amplitude, the at least one task coordination strategy corresponding to the EIS excitation parameters is determined to be: a protection grace period strategy and a response filtering strategy.

[0074] Optionally, if the frequency type is intermediate frequency, at least one task coordination strategy corresponding to the EIS excitation parameters is determined to be: a protection grace period strategy and a response filtering strategy.

[0075] Optionally, if the frequency type is frequency sweep, the at least one task coordination strategy corresponding to the EIS excitation parameters is determined to be: a protection grace period strategy and a time-division multiplexing strategy.

[0076] By using EIS excitation parameters, the amplitude type and frequency type are determined. Based on the amplitude type and frequency type, at least one task coordination strategy corresponding to the EIS excitation parameters is determined from the preset task coordination strategy pool. This enables full-band online measurement of EIS measurement tasks while ensuring the real-time performance and sensitivity of protection sampling tasks, thereby improving the system availability of the energy storage system. Furthermore, it can reduce the false tripping rate and improve the impedance measurement accuracy.

[0077] After obtaining at least one task coordination strategy, each task coordination strategy can be executed. The following describes the process of executing EIS measurement tasks and preset protection sampling tasks based on EIS excitation parameters and task coordination strategies, using one task coordination strategy as an example.

[0078] It should be understood that when multiple task coordination strategies are involved, they can be combined with reference to the following content, which will not be elaborated upon in this application.

[0079] In one possible implementation, Figure 4 This is a flowchart illustrating the execution of EIS measurement tasks and preset protection sampling tasks in the information processing method for an energy storage system provided in this application embodiment. (Refer to...) Figure 4 As shown, in S203 above, based on the EIS excitation parameters and the coordination strategy of each task, the EIS measurement task and the preset protection sampling task are executed, including: S401. If the task coordination strategy includes a protection grace period strategy, keep the preset threshold of the first type of protection item unchanged to obtain the target value of the first type of protection item, and adjust the threshold of the second type of protection item corresponding to the protection sampling task according to the EIS excitation parameters to obtain the target value of the second type of protection item.

[0080] It is understandable that when the current corresponding to the EIS excitation parameters is injected into the battery cell, the voltage of the battery cell will fluctuate. This fluctuation may cause the instantaneous voltage to exceed the protection threshold that the protection sampling task can accept, triggering false tripping. Therefore, the threshold of the protection sampling task can be adjusted with a grace period.

[0081] In other words, the protection grace period strategy refers to adjusting the threshold of the protection sampling task with a grace period in order to avoid false tripping or false alarms in the protection sampling task.

[0082] Specifically, the threshold of the first type of protection item is kept unchanged to obtain the target value of the first type of protection item, and the threshold of the second type of protection item corresponding to the protection sampling task is adjusted according to the EIS excitation parameters to obtain the target value of the second type of protection item.

[0083] The first category of protection includes at least short-circuit protection and thermal runaway protection. The threshold values ​​for the first category of protection can be short-circuit protection thresholds and thermal runaway protection thresholds.

[0084] Optionally, the first type of protection may further include total differential voltage protection, and correspondingly, the threshold of the first type of protection may further include a total differential voltage threshold. Here, total differential voltage refers to the voltage difference between battery cells.

[0085] For example, by keeping the thresholds for short-circuit protection and thermal runaway protection unchanged and maintaining full sensitivity, the target value of the first type of protection item is obtained.

[0086] The second type of protection includes one or more of the following: overvoltage protection, undervoltage protection, charging overcurrent protection, and discharging overcurrent protection. Correspondingly, the threshold values ​​for the second type of protection may include one or more of the following: overvoltage threshold, undervoltage threshold, charging overcurrent threshold, and discharging overcurrent threshold.

[0087] S402. Based on the EIS excitation parameters, the target values ​​of the first type of protection item and the target values ​​of the second type of protection item, execute the EIS measurement task and the preset protection sampling task.

[0088] Optionally, after obtaining the target values ​​of the first type of protection item and the second type of protection item, the EIS measurement task and the preset protection sampling task can be executed according to the EIS excitation parameters, the target values ​​of the first type of protection item and the target values ​​of the second type of protection item.

[0089] For example, the target values ​​of the first type of protection item and the target values ​​of the second type of protection item are applied in the protection sampling task, and the EIS measurement task is performed according to the EIS excitation parameters. After the EIS measurement task is completed, the threshold of the protection sampling task is restored.

[0090] By keeping the preset threshold of the first type of protection item unchanged and adjusting the threshold of the second type of protection item corresponding to the protection sampling task according to the EIS excitation parameters, the target values ​​of the first type of protection item and the second type of protection item are obtained. Thus, the EIS measurement task and the protection sampling task are executed. It is possible to establish an interference containment window on non-critical protection items and ensure that the threshold remains constant on critical protection items. This allows the precise shielding of EIS pseudo-interference and the zero-delay response to real faults to coexist on the same hardware platform, maintaining the integrity of the protection function during EIS injection.

[0091] In one possible implementation, Figure 5 This is a flowchart illustrating the process of adjusting the threshold of the second type of protection item corresponding to the protection sampling task in the information processing method of the energy storage system provided in this application embodiment, with reference to... Figure 5 As shown, in S401 above, the threshold of the second type of protection item corresponding to the protection sampling task is adjusted according to the EIS excitation parameters to obtain the target value of the second type of protection item, including: S501. Determine voltage fluctuation information based on frequency, amplitude, and battery impedance model of the battery cell.

[0092] Optionally, the battery impedance model of the battery cell can be obtained. The battery impedance model of the battery cell is determined through the previous EIS measurement task, or the battery impedance model is a preset nominal parameter.

[0093] Optionally, after obtaining the battery impedance model of the battery cell, the impedance magnitude |Z(f)| of the battery cell at frequency f is determined according to the frequency f in the EIS excitation parameters, and the voltage fluctuation information is calculated based on the impedance magnitude |Z(f)| of the battery cell at frequency f and the amplitude I_ac.

[0094] For example, the voltage fluctuation information ΔV can be calculated using the following formula: ΔV = I_ac × |Z(f)| Where |Z(f)| is the impedance magnitude of the battery cell at frequency f, and I_ac is the amplitude.

[0095] S502. Determine the current increment information based on the amplitude.

[0096] Optionally, the product of the amplitude and a preset first safety factor is calculated to obtain the current increment information.

[0097] S503. Based on the voltage fluctuation information and / or current increment information, adjust the threshold of the second type of protection item corresponding to the protection sampling task to obtain the target value of the second type of protection item.

[0098] Optionally, after obtaining voltage fluctuation information and current increment information, the threshold of the second type of protection item corresponding to the protection sampling task can be adjusted according to the voltage fluctuation information and / or the current increment information to obtain the target value of the second type of protection item.

[0099] In one example, when the thresholds of the second type of protection include an overvoltage threshold and an undervoltage threshold, the voltage fluctuation information can be multiplied by a preset second safety factor to obtain voltage increment information. The overvoltage threshold and the voltage increment information are then summed to obtain the target value of the overvoltage threshold. Finally, the difference between the undervoltage threshold and the voltage increment information is calculated to obtain the target value of the undervoltage threshold.

[0100] For example, the target value of the overvoltage threshold, V_OVP_eis, can be determined by the following formula: V_OVP_eis = V_OVP + k2 × ΔV Where V_OVP is the overvoltage threshold, k2 is the second safety factor, and ΔV is the voltage fluctuation information.

[0101] For example, the target value V_UVP_eis for the undervoltage threshold can be determined by the following formula: V_UVP_eis = V_UVP – k2 × ΔV Where V_UVP is the undervoltage threshold, k2 is the second safety factor, and ΔV is the voltage fluctuation information. For example, k2 can be 1.2 to 1.5.

[0102] In another example, the thresholds for the second type of protection include: when calculating the charging overcurrent threshold and the discharging overcurrent threshold, the sum of the charging overcurrent threshold and the current increment information is calculated to obtain the target value of the charging overcurrent threshold; the difference between the discharging overcurrent threshold and the current increment information is calculated to obtain the target value of the discharging overcurrent threshold.

[0103] For example, the target value of the charging overcurrent threshold, I_OC_charge_eis, can be determined by referring to the following formula: I_OC_charge_eis = I_OC_charge + k2 × I_ac Where I_OC_charge is the charging overcurrent threshold, k2 is the second safety factor, and I_ac is the amplitude.

[0104] For example, the target value of the discharge overcurrent threshold, I_OC_discharge_eis, can be determined by referring to the following formula: I_OC_discharge_eis = I_OC_discharge + k2 × I_ac Where I_OC_discharge is the discharge overcurrent threshold, k2 is the second safety factor, and I_ac is the amplitude. For example, k2 can be 1.2~1.5.

[0105] For example, k2 can also be dynamically adjusted according to the battery type and aging degree. For instance, older batteries have higher impedance and larger ΔV, so k2 takes a larger value; newer batteries have lower impedance, so k2 takes a smaller value.

[0106] By determining voltage fluctuation information and current increment information, and adjusting the threshold of the second type of protection item corresponding to the protection sampling task based on the voltage fluctuation information and current increment information, the target value of the second type of protection item is obtained. This can transform the deterministic pseudo-disturbance caused by EIS excitation from uncontrollable noise into quantifiable deviation, enabling the protection logic to have feedforward compensation capability and improving fault tolerance capability.

[0107] In one possible implementation, S203 above, based on EIS excitation parameters and task coordination strategies, executes EIS measurement tasks and preset protection sampling tasks, including: If the task coordination strategy includes a response filtering strategy, the protection sampling task and EIS measurement execution are performed in parallel. The execution process of the protection sampling task includes: calculating the AC component based on the battery impedance model of the battery cell and the EIS excitation parameters; acquiring protection sampling data and determining the net voltage based on the protection sampling data and the AC component; and determining whether to trigger a protection alarm based on the net voltage.

[0108] Optionally, during the execution of the protection sampling task, the AC component V_eis_predicted(t) is calculated based on the battery impedance model of the battery cell and the EIS excitation parameters.

[0109] Specifically, the AC component V_eis_predicted(t) can be represented by the following formula: V_eis_predicted(t) = I_ac × |Z(f)| × sin(2πft + φ + ∠Z(f)) Where I_ac is the amplitude, |Z(f)| is the impedance magnitude of the battery cell at frequency f, φ is the phase, and ∠Z(f) is the phase angle.

[0110] Optionally, the protection sampling data V_measured(t) can be obtained. Here, the protection sampling data refers to the voltage data sampled by the protection sampling task.

[0111] Optionally, the difference between the protected sampled data V_measured(t) and the AC component V_eis_predicted(t) is calculated to obtain the net voltage V_net(t). See the following formula for details: V_net(t) = V_measured(t) - V_eis_predicted(t) Where V_measured(t) represents the protected sampled data, and V_eis_predicted(t) represents the AC component.

[0112] Optionally, a protection alarm can be triggered based on the net voltage.

[0113] In other words, under the response filtering strategy, the AC component can be calculated using the battery impedance model of the battery cell and the EIS excitation parameters. The AC component is then removed from the protection sampling data to obtain the net voltage after eliminating EIS interference. Based on the net voltage, it can be determined whether to trigger the alarm of the protection sampling task in the protection sampling task, thereby realizing the restoration of the physical truth value of the protection criterion and ensuring the compatible operation of the EIS measurement task and the protection sampling task.

[0114] Optionally, after determining whether to trigger a protection alarm based on the net voltage, the execution process of the protection sampling task also includes a closed-loop process. Specifically, the DC voltage is acquired, and the residual is calculated based on the protection sampling data, the DC voltage, and the AC component. The residual is then judged, and an abnormal alarm is triggered when the residual continuously exceeds a preset residual threshold.

[0115] Specifically, anomaly alarms can alert the user to battery malfunctions, or notify the processing unit to update the battery impedance model of the battery cell.

[0116] Among them, "residuals continuously exceeding the preset residual threshold" means that the residuals exceed the preset residual threshold within a preset time window.

[0117] For example, the residual ε(t) can be calculated using the following formula: ε (t)= V_measured(t) - V_dc - V_eis_predicted(t) Where V_measured(t) is the protected sampling data, V_eis_predicted(t) is the AC component, and V_dc is the DC voltage.

[0118] In one possible implementation, S203 above, based on EIS excitation parameters and task coordination strategies, executes EIS measurement tasks and preset protection sampling tasks, including: If the task coordination strategy includes a time-division multiplexing strategy, the EIS measurement task and the preset protection sampling task will be executed alternately based on the EIS excitation parameters and the preset alternation sequence.

[0119] The preset alternation sequence is used to instruct the EIS measurement task and the preset protection sampling task to be executed alternately. For example, the EIS measurement task can be performed first, followed by the protection sampling task, and then the EIS measurement task again, or the protection sampling task can be performed first, followed by the EIS measurement task, and then the protection sampling task again.

[0120] In one example, within the protection sampling window, the EIS measurement task is paused (or continues to run but the protection task does not read the sampled values), and the protection sampling task exclusively uses the ADC to perform voltage / current / temperature sampling; within the EIS excitation window, the EIS measurement task runs, and the protection sampling task pauses sampling.

[0121] In the time-division multiplexing strategy, EIS measurement tasks and preset protection sampling tasks are executed alternately by EIS excitation parameters and preset alternation sequence. This can transform continuous sampling into deterministic intermittent sampling that meets the timeliness constraints of fault response, thereby improving safety.

[0122] In one possible implementation, Figure 6 This is another flowchart illustrating the execution of EIS measurement tasks and preset protection sampling tasks in the information processing method for the energy storage system provided in this application embodiment, referring to... Figure 6 As shown, the above-mentioned EIS measurement task and preset protection sampling task are performed based on EIS excitation parameters and a preset alternation sequence, including: S601. Based on the alternation sequence, determine the first time period for performing EIS measurement tasks and the second time period for performing protection sampling tasks in the current cycle.

[0123] Optionally, the first time period for performing EIS measurement tasks and the second time period for performing protection sampling tasks in the current cycle can be determined according to the alternation sequence.

[0124] For example, the length of the current period is obtained, the unit duration of the EIS measurement task is obtained, the unit duration of the protection sampling task is obtained, and within the length of the current period, the first time period for executing the EIS measurement task and the second time period for executing the protection sampling task are calculated based on the unit duration of the EIS measurement task, the unit duration of the protection sampling task, and the alternation order.

[0125] S602. In the first time period, perform the EIS measurement task according to the EIS excitation parameters.

[0126] Optionally, during the first time period, the EIS measurement task is performed according to the EIS excitation parameters.

[0127] S603. In the second time period, perform the protection sampling task according to the preset protection sampling threshold.

[0128] Optionally, in the second time period, a protection sampling task is performed according to a preset protection sampling threshold.

[0129] In one possible implementation, the method also includes: If the length of the first time period does not meet the first preset condition and / or the length of the current period does not meet the second preset condition, then the time-division multiplexing strategy will be replaced by the response filtering strategy, or the time-division multiplexing strategy will be stopped.

[0130] Optionally, during the execution of each first time period and each second time period, the length of the first time period and the length of the second time period can be judged. If the length of the first time period and the length of the second time period do not meet the first preset condition, and / or the length of the current period does not meet the second preset condition, then the time-division multiplexing strategy is replaced with the response filtering strategy, or the execution of the time-division multiplexing strategy is stopped.

[0131] Specifically, the first preset condition can be a window ratio condition. For example, the duration of the second time period should be greater than or equal to twice the duration of the first time period, so as to ensure that the protection sampling frequency f_protect is not lower than the protection sampling verification frequency f_protect_min in the safety requirements.

[0132] The protection sampling frequency f_protect can be obtained by dividing 1 by the length of the current cycle T_cycle.

[0133] Specifically, the second preset condition can be that the length of the current cycle, T_cycle, is less than a preset cycle threshold.

[0134] The length of the current cycle, T_cycle, can be obtained by summing the first time period and the second time period.

[0135] If the first preset condition is not met between the length of the first time period and the length of the second time period, and / or the length of the current period does not meet the second preset condition, then the time-division multiplexing strategy will be replaced with a response filtering strategy, or the time-division multiplexing strategy will be stopped. This can ensure the feasibility of EIS measurement tasks across the entire frequency band, the millisecond-level real-time performance of protection criteria, and the overall functional safety and integrity of the system without increasing hardware costs. It completely avoids unacceptable risks such as false tripping, failure to operate, or exhaustion of hardware resources caused by improper timing configuration.

[0136] Based on the same inventive concept, this application also provides an information processing device for an energy storage system corresponding to the information processing method of the energy storage system. Since the principle of the device in this application is similar to the information processing method of the energy storage system described above in this application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0137] Reference Figure 7 As shown, Figure 7This is a schematic diagram of an information processing device for an energy storage system provided in an embodiment of this application. The device includes: an acquisition module 701, a determination module 702, and a distribution module 703; wherein, The acquisition module 701 is used to acquire EIS excitation parameters, which include at least frequency and amplitude. The determination module 702 is used to determine at least one task coordination strategy corresponding to the EIS excitation parameters from a preset task coordination strategy pool based on the EIS excitation parameters. The task coordination strategy is used to coordinate the EIS measurement task and the protection sampling task. The distribution module 703 is used to distribute EIS excitation parameters and at least one task coordination strategy to the battery control unit corresponding to at least one battery unit in the energy storage system. Each battery control unit performs EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the task coordination strategies.

[0138] As one possible implementation, module 702 is specifically used for: Determine the amplitude type and frequency type based on the EIS excitation parameters; Based on the amplitude type and frequency type, at least one task coordination strategy corresponding to the EIS excitation parameters is determined from the preset task coordination strategy pool.

[0139] As one possible implementation, module 703 is used specifically for: If the task coordination strategy includes a protection grace period strategy, keep the preset threshold of the first type of protection item unchanged to obtain the target value of the first type of protection item, and adjust the threshold of the second type of protection item corresponding to the protection sampling task according to the EIS excitation parameters to obtain the target value of the second type of protection item. Based on the EIS excitation parameters, the target values ​​of the first type of protection item, and the target values ​​of the second type of protection item, perform the EIS measurement task and the preset protection sampling task.

[0140] As one possible implementation, the first type of protection includes at least short-circuit protection and thermal runaway protection.

[0141] As one possible implementation, module 703 is used specifically for: Based on the frequency, amplitude, and battery impedance model of the battery cell, the voltage fluctuation information is determined; Determine the current increment information based on the amplitude; Based on voltage fluctuation information and / or current increment information, adjust the threshold of the second type of protection item corresponding to the protection sampling task to obtain the target value of the second type of protection item.

[0142] As one possible implementation, module 703 is used specifically for: If the task coordination strategy includes a response filtering strategy, and the protection sampling task and EIS measurement execution are performed in parallel, the execution process of the protection sampling task includes: The AC component is calculated based on the battery impedance model of the battery cell and the EIS excitation parameters. Acquire protection sampling data and determine the net voltage based on the protection sampling data and the AC component; Based on the net voltage, determine whether to trigger a protection alarm.

[0143] As one possible implementation, module 703 is used specifically for: If the task coordination strategy includes a time-division multiplexing strategy, the EIS measurement task and the preset protection sampling task will be executed alternately based on the EIS excitation parameters and the preset alternation sequence.

[0144] As one possible implementation, module 703 is used specifically for: Based on the alternation sequence, the first time period for performing EIS measurement tasks and the second time period for performing protection sampling tasks are determined in the current cycle; In the first time period, the EIS measurement task is performed according to the EIS excitation parameters; In the second time period, the protection sampling task is performed according to the preset protection sampling threshold.

[0145] As one possible implementation, module 703 is also used for: If the length of the first time period does not meet the first preset condition and / or the length of the current period does not meet the second preset condition, then the time-division multiplexing strategy will be replaced by the response filtering strategy, or the time-division multiplexing strategy will be stopped.

[0146] The processing flow of each module in the device and the interaction flow between each module can be referred to the relevant descriptions in the above method embodiments, and will not be detailed here.

[0147] This application also provides an electronic device, such as... Figure 8 As shown, Figure 8 The schematic diagram of the electronic device structure provided in this application embodiment includes: a processor 801 and a memory 802, and optionally, a bus 803. The memory 802 stores machine-readable instructions executable by the processor 801. When the electronic device is running, the processor 801 and the memory 802 communicate through the bus 803, and the processor 801 executes the machine-readable instructions to perform the steps of the information processing method of the energy storage system described above.

[0148] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the information processing method of the energy storage system described above.

[0149] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces; the indirect coupling or communication connection of devices or modules can be electrical, mechanical, or other forms.

[0150] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0151] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. An information processing method for an energy storage system, characterized in that, The method includes: Obtain EIS excitation parameters, wherein the EIS excitation parameters include at least: frequency and amplitude; Based on the EIS excitation parameters, at least one task coordination strategy corresponding to the EIS excitation parameters is determined from a preset task coordination strategy pool. The task coordination strategy is used to coordinate EIS measurement tasks and protection sampling tasks. The EIS excitation parameters and the at least one task coordination strategy are sent to the battery control unit corresponding to at least one battery unit in the energy storage system. Each battery control unit performs EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the task coordination strategies.

2. The information processing method for an energy storage system according to claim 1, characterized in that, The step of determining at least one task coordination strategy corresponding to the EIS incentive parameters from a preset task coordination strategy pool based on the EIS incentive parameters includes: Based on the EIS excitation parameters, determine the amplitude type and frequency type; Based on the amplitude type and the frequency type, at least one task coordination strategy corresponding to the EIS excitation parameter is determined from a preset task coordination strategy pool.

3. The information processing method for an energy storage system according to claim 1, characterized in that, The execution of EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the respective task coordination strategies includes: If the task coordination strategy includes a protection grace period strategy, the threshold of the preset first type of protection item is kept unchanged to obtain the target value of the first type of protection item, and the threshold of the second type of protection item corresponding to the protection sampling task is adjusted according to the EIS excitation parameters to obtain the target value of the second type of protection item. Based on the EIS excitation parameters, the target values ​​of the first type of protection item and the target values ​​of the second type of protection item, perform the EIS measurement task and the preset protection sampling task.

4. The information processing method for an energy storage system according to claim 3, characterized in that, The first type of protection includes at least short-circuit protection and thermal runaway protection.

5. The information processing method for an energy storage system according to claim 3, characterized in that, The step of adjusting the threshold of the second type of protection item corresponding to the protection sampling task according to the EIS excitation parameters to obtain the target value of the second type of protection item includes: Based on the frequency, the amplitude, and the battery impedance model of the battery cell, voltage fluctuation information is determined; Based on the amplitude, determine the current increment information; Based on the voltage fluctuation information and / or the current increment information, the threshold of the second type of protection item corresponding to the protection sampling task is adjusted to obtain the target value of the second type of protection item.

6. The information processing method for an energy storage system according to claim 1, characterized in that, The execution of EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the respective task coordination strategies includes: If the task coordination strategy includes a response filtering strategy, the protection sampling task and the EIS measurement execution are performed in parallel, wherein the execution process of the protection sampling task includes: The AC component is calculated based on the battery impedance model of the battery cell and the EIS excitation parameters. Acquire protection sampling data, and determine the net voltage based on the protection sampling data and the AC component; Based on the net voltage, determine whether to trigger a protection alarm.

7. The information processing method for an energy storage system according to claim 1, characterized in that, The execution of EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and the respective task coordination strategies includes: If the task coordination strategy includes a time-division multiplexing strategy, the EIS measurement task and the preset protection sampling task are executed alternately based on the EIS excitation parameters and the preset alternation sequence.

8. The information processing method for an energy storage system according to claim 7, characterized in that, The execution of EIS measurement tasks and preset protection sampling tasks based on the EIS excitation parameters and a preset alternation sequence includes: Based on the alternation sequence, the first time period for performing EIS measurement tasks and the second time period for performing protection sampling tasks are determined in the current cycle; In the first time period, the EIS measurement task is performed according to the EIS excitation parameters; In the second time period, the protection sampling task is performed according to the preset protection sampling threshold.

9. The information processing method for an energy storage system according to claim 8, characterized in that, The method further includes: If the length of the first time period and the length of the second time period do not meet the first preset condition, and / or the length of the current period does not meet the second preset condition, then the time-division multiplexing strategy is replaced with a response filtering strategy, or the execution of the time-division multiplexing strategy is stopped.

10. An energy storage system, characterized in that, The energy storage system includes at least: a processing unit, at least one battery unit, and a battery control unit corresponding to each battery unit, wherein the processing unit is used to execute the steps of the information processing method of the energy storage system according to any one of claims 1-9.

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