State switching threshold determination method and device, energy storage system and storage medium

Abstract

According to the state switching threshold determination method and apparatus, the energy storage system and the storage medium, the application scenarios of the energy storage device are distinguished based on the power supply duration demand, and the SOC initial thresholds of different state switching are set according to the different application scenarios to adapt to the different application scenarios, so that the power supply efficiency is improved. The SOC threshold setting of state switching better meets the actual application requirement, and low-power-consumption management is more reasonable; and the SOC initial threshold value of the switching mode is dynamically adjusted according to the operation data of the energy storage equipment, that is, the SOC initial threshold value of the switching mode is dynamically adjusted according to the actual use condition of the energy storage equipment used by the user, so that self-adaptive adjustment according to user habit change is realized, and the intelligent decision-making capability of low-power-consumption control is improved.

Description

Technical Field

[0001] This article relates to outdoor power supply technology, and in particular to a method, device, energy storage system, and storage medium for determining state switching thresholds. Background Technology

[0002] Energy storage devices are an important choice for outdoor activities, emergency backup power, and even home backup power. The core of these devices lies in the battery management system (BMS), which is responsible for monitoring, protecting, managing energy, and managing information of the battery pack to ensure the safe, reliable, and efficient operation of the battery. With the popularization of Internet of Things (IoT) technology and the increasing demand for convenience from users, adding remote status monitoring and control functions to energy storage devices has become the key to enhancing product value.

[0003] Energy storage devices typically exist in several states: operating state, hibernation state, hibernation wake-up state, and shutdown state. The power consumption of these states may be related as follows: power consumption in operating / hibernation state > power consumption in hibernation wake-up state > power consumption in hibernation state. To maintain the device's endurance during operation and to manage low power consumption, a State of Charge (SOC) threshold is set for state switching. Current technologies typically set a fixed SOC threshold for state switching, resulting in a simplistic and inefficient control scheme that cannot adapt to the rational management of operating states and low power consumption in different application scenarios. Furthermore, during long-term operation, the fixed SOC threshold fails to consider changes in user habits and application scenarios, leading to rigid power management. Summary of the Invention

[0004] This application provides a method for determining a state switching threshold, applied to an energy storage device, including: Based on the regional information of the energy storage device, the corresponding application scenario of the energy storage device is determined. The regional information includes location information, climate information and time information. Different application scenarios require different power supply durations. The initial SOC threshold for the energy storage device during state switching is determined based on different application scenarios. The state switching includes a first switching mode and a second switching mode. The first switching mode is switching from the working state to the hibernation state and the second switching mode is switching from the hibernation state to the power-off state. The power consumption of the energy storage device in the hibernation state is less than the power consumption in the working state. Based on the operating data of the energy storage device, the initial SOC thresholds of the first switching mode and the second switching mode are adjusted to obtain the SOC adjustment threshold. The operating data includes the SOC value when entering the hibernation state, the number of times the hibernation state is woken up, and the device failure events.

[0005] On the other hand, embodiments of this application also provide a storage medium storing a computer program, which, when executed by a processor, implements the above-described method for determining the state switching threshold.

[0006] Furthermore, embodiments of this application also provide an energy storage system, including: a memory and a processor, wherein the memory stores a computer program; wherein, The processor is configured to execute computer programs in memory; When the computer program is executed by the processor, it implements the state switching threshold determination method described above.

[0007] Furthermore, embodiments of this application also provide a state switching threshold determination device, applied to an energy storage device, comprising: a scene recognition unit, an initial threshold unit, and a threshold adjustment unit; wherein, The scene recognition unit is configured to: determine the application scenario corresponding to the energy storage device based on the regional information of the energy storage device, wherein the regional information includes location information, climate information and time information, and the power supply duration required for different application scenarios is different; The initial threshold unit is set as follows: the initial SOC threshold of the energy storage device when the energy storage device performs state switching is determined based on different application scenarios. The state switching includes a first switching mode and a second switching mode. The first switching mode is switching from the working state to the hibernation state and the second switching mode is switching from the hibernation state to the power-off state. The power consumption of the energy storage device when it is in the hibernation state is less than the power consumption when it is in the working state. The threshold adjustment unit is configured to: adjust the initial SOC threshold of the first switching mode and the second switching mode based on the operating data of the energy storage device to obtain the SOC adjustment threshold. The operating data includes the SOC value when entering the hibernation state, the number of times the hibernation state is woken up, and the device fault events.

[0008] This disclosure discloses embodiments that differentiate application scenarios for energy storage devices based on power supply duration requirements. Different initial SOC thresholds for state switching are set according to different application scenarios to adapt to different application scenarios, making the SOC threshold settings for state switching more in line with actual application needs and making low-power management more reasonable. Furthermore, the initial SOC threshold for switching modes is dynamically adjusted based on the operating data of the energy storage devices, that is, the initial SOC threshold for switching modes is dynamically adjusted according to the actual usage of the energy storage devices by the user, realizing adaptive adjustment based on changes in user habits and improving the intelligent decision-making capability of low-power control.

[0009] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the application. Other advantages of this application can be realized and obtained by means of the solutions described in the description and the accompanying drawings. Attached Figure Description

[0010] The accompanying drawings are used to provide an understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0011] Figure 1 This is a flowchart of the method for determining the state switching threshold according to an embodiment of this disclosure; Figure 2 This is a structural block diagram of the state switching threshold determination device according to an embodiment of the present disclosure. Detailed Implementation

[0012] This application describes several embodiments, but these descriptions are exemplary and not restrictive, and it will be apparent to those skilled in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are also possible. Unless specifically limited, any feature or element of any embodiment may be used in combination with, or may replace, any feature or element of any other embodiment.

[0013] This application includes and contemplates combinations of features and elements known to those skilled in the art. The embodiments, features, and elements disclosed in this application can also be combined with any conventional features or elements to form unique inventive solutions. Any feature or element of any embodiment can also be combined with features or elements from other inventive solutions to form another unique inventive solution. Therefore, it should be understood that any feature shown and / or discussed in this application can be implemented individually or in any suitable combination. Therefore, the embodiments are not limited except by the limitations imposed by the appended claims and their equivalents. Furthermore, various modifications and changes can be made within the scope of the appended claims.

[0014] Furthermore, in describing representative embodiments, the specification may have presented methods and / or processes as a specific sequence of steps. However, the method or process should not be limited to the specific order of steps described herein, to the extent that it does not depend on such a specific order. As will be understood by those skilled in the art, other sequences of steps are also possible. Therefore, the specific order of steps set forth in the specification should not be construed as a limitation of the claims. Moreover, the claims concerning the method and / or process should not be limited to the steps performed in the written order, and those skilled in the art will readily understand that these orders can be varied and still remain within the spirit and scope of the embodiments of this application.

[0015] Figure 1 This is a flowchart of a method for determining a state switching threshold according to an embodiment of this disclosure, applied to energy storage devices, such as... Figure 1 As shown, it includes: Step 10: Based on the regional information of the energy storage device, determine the corresponding application scenario of the energy storage device. The regional information includes location information, climate information and time information. Different application scenarios require different power supply durations. Step 20: Determine the initial SOC threshold when the energy storage device switches states based on different application scenarios. The state switching includes a first switching mode and a second switching mode. The first switching mode is switching from the working state to the hibernation state and the second switching mode is switching from the hibernation state to the power-off state. The power consumption of the energy storage device in the hibernation state is less than the power consumption in the working state. Step 30: Based on the operating data of the energy storage device, adjust the initial SOC threshold of the first switching mode and the second switching mode to obtain the SOC adjustment threshold. The operating data includes the SOC value when entering the hibernation state, the number of times the hibernation state is woken up, and the device failure events.

[0016] In this embodiment, the device failure event includes a first failure event of excessively high battery temperature, a second failure event of excessively low temperature, and a third failure event of shutting down the energy storage device at a SOC initial threshold below the second switching mode. The third failure event may be a forced shutdown event of the energy storage device caused by the SOC initial threshold of the second switching mode, or a shutdown event of the energy storage device caused by user operation at a SOC initial threshold below the second switching mode.

[0017] This disclosure discloses embodiments that differentiate application scenarios for energy storage devices based on power supply duration requirements. Different initial SOC thresholds for state switching are set according to different application scenarios to adapt to different application scenarios, making the SOC threshold settings for state switching more in line with actual application needs and making low-power management more reasonable. Furthermore, the initial SOC threshold for switching modes is dynamically adjusted based on the operating data of the energy storage devices, that is, the initial SOC threshold for switching modes is dynamically adjusted according to the actual usage of the energy storage devices by the user, realizing adaptive adjustment based on changes in user habits and improving the intelligent decision-making capability of low-power control.

[0018] In one exemplary instance, when the energy storage device is in a dormant state, the BMS only runs a low-power timer (LPTIM) and a monitoring module that monitors activation signals, maintaining only the timed monitoring and wake-up functions. This avoids unnecessary power consumption during the dormant state, increases the working time of the energy storage device in the dormant state, and maximizes the application of power.

[0019] The energy storage device in this embodiment may include: a portable energy storage power supply; the longer the power supply time required in the application scenario, the larger the corresponding initial SOC threshold.

[0020] In one exemplary embodiment, this disclosure allows the user terminal connected to the energy storage device to determine regional information, such as time information and location information at different times, based on calendar information and travel information. After the system is powered on, the main MCU of the energy storage device can automatically identify the application scenario based on received GPS location information, network time, or external sensor data (such as obtaining disaster warnings by connecting to a meteorological API), and switch states based on the calculated State of Charge (SOC) and the initial SOC threshold corresponding to the identified application scenario.

[0021] In one exemplary instance, this embodiment of the disclosure determines the corresponding application scenario for the energy storage device based on the regional information of the energy storage device, including: When the location information determines that the energy storage device is in a preset activity area for a first preset duration, the application scenario of the energy storage device is determined to be a daily use scenario. When the energy storage device is determined to be in a pre-set rest period based on time information, the application scenario of the energy storage device is determined to be a daily use scenario. Based on location and time information, if the energy storage device is determined to have a displacement greater than a preset displacement threshold within a second preset time period, the application scenario of the energy storage device is determined to be a long-distance travel scenario. When climate information determines that an energy storage device is under extreme weather warning, the application scenario for the energy storage device is determined to be an emergency backup scenario.

[0022] The activity areas mentioned in this disclosure embodiment can include homes, offices, gyms, parks, and libraries, etc. This disclosure embodiment can determine and switch application scenarios based on geofencing: when the GPS positioning device is located in the user-defined "home" or "office" area for more than 2 hours, it automatically switches to the daily use scenario; when the energy storage device is determined to be in a rest period based on time information, such as at night (e.g., 00:00-6:00), it automatically enters the daily use scenario; when the energy storage device moves continuously for more than 50 kilometers, it automatically switches to the long-distance travel scenario; the energy storage device in this disclosure embodiment can be connected to a user terminal, and the energy storage device reads calendar information or trip information from the user terminal, determines time information and location information based on the calendar information or trip information, and determines whether the energy storage device is in a long-distance travel scenario. For example, based on the calendar information, it is determined that the user needs to move from the daily use location to another place, and based on this, it is determined that the energy storage device is in a long-distance travel scenario; this disclosure embodiment can also receive extreme weather warnings (such as typhoon and rainstorm red alerts) through the IoT module, automatically force a switch to the emergency backup scenario, and lock it until the alarm is lifted. In this embodiment of the disclosure, the main package MCU can perform fusion judgment based on the multi-source information in the above example to realize the automatic identification of application scenarios and adaptively switch application scenarios based on the automatic identification results.

[0023] This disclosure applies to various scenarios, including daily use scenarios, where there is a trade-off between frequent use and battery life. Setting the initial SOC threshold for state transitions in this scenario requires maximizing daily availability while also considering battery health. Similarly, for long-distance travel scenarios, there is a trade-off between range anxiety and the inability to charge in a timely manner. Setting the initial SOC threshold for state transitions in this scenario can be based on maximizing the total system battery life. Furthermore, for emergency backup scenarios, there is a trade-off between standby power consumption and sufficient power in emergencies. Setting the SOC threshold for state transitions in this scenario requires ensuring a high probability of power availability in extreme situations. This disclosure allows for flexible setting of the SOC threshold based on specific application scenarios (e.g., needing to retain a large amount of power for emergency backups or consuming minimal power during daily use). The system executes this automatically, satisfying users' personalized needs while fundamentally preventing battery over-discharge, thus improving system safety and user experience.

[0024] In one exemplary instance, for step 20, determining the initial SOC threshold when the energy storage device performs state switching based on different application scenarios includes: When the application scenario includes daily use scenarios, the initial SOC threshold for the first switching mode is determined as the first threshold. When the application scenario includes long-distance travel, the initial SOC threshold for the first switching mode is determined as the second threshold. When the application scenario includes the emergency backup scenario, the initial SOC threshold of the first switching mode is determined to be the third threshold. Among them, the first threshold < the second threshold < the third threshold.

[0025] The first threshold value in this embodiment ranges from 12% to 20%. For example, the initial SOC threshold can be set to 15%. This amount of power is sufficient to support several emergency charges for small devices such as mobile phones, preventing premature entry into sleep mode due to battery anxiety. It also provides shallow charge-discharge cycles for the battery, which is beneficial for extending battery life. The second threshold value ranges from 22% to 28%. For example, the initial SOC threshold can be set to 25%. This threshold is slightly higher than in daily scenarios, aiming to limit high-power output earlier, guiding users to find charging points, while the system enters a low-power state to ensure a steady flow of battery power. The third threshold value ranges from 65% to 75%. For example, the initial SOC threshold can be set to 70%. This extremely high threshold ensures that the system is in an ultra-low-power sleep state most of the time, "freezing" almost all energy for unforeseen needs.

[0026] In one exemplary instance, for step 20, determining the initial SOC threshold when the energy storage device performs state switching based on different application scenarios further includes: When the application scenario includes daily use scenarios, the initial SOC threshold for the second switching mode is determined to be the fourth threshold. When the application scenario includes long-distance travel, the initial SOC threshold for the second switching mode is determined to be the fifth threshold; When the application scenario includes emergency backup scenario, the initial SOC threshold for the second handover mode is determined to be the sixth threshold; Among them, the fourth threshold < the fifth threshold < the sixth threshold, the fourth threshold < the first threshold, the fifth threshold < the second threshold, and the sixth threshold < the third threshold.

[0027] The fourth threshold value range of this disclosure embodiment is 3%-8%. For example, the initial SOC threshold can be 5%. This power level is before the steep drop in the battery discharge curve, preventing the system from shutting down due to a sudden voltage drop, and reserving buffer power for the BMS to execute the safe shutdown process. The fifth threshold value range is 8%-12%. For example, the initial SOC threshold can be 10%. This threshold reserves a small amount of "lifesaving power" for GPS positioning or emergency communication in the final stage, while avoiding premature shutdown that would completely "brick" the device. The sixth threshold value range of the emergency backup scenario is 45%-55%. For example, the initial SOC threshold can be 50%, reserving half of the total power, which is sufficient to support communication equipment, medical equipment, or lighting equipment to work continuously for several hours to several days in an emergency.

[0028] When switching between working state, hibernation state and power-off state in the embodiments of this disclosure, the modules (or components) that the BMS operates in different predetermined states are determined. Those skilled in the art refer to the design logic of the operation control of the energy storage device to determine the shutdown or opening of the modules (or components). When there are multiple components, the order of shutting down or opening the modules (or components) is referred to the relevant technology. The embodiments of this disclosure do not limit this.

[0029] The SOC initial threshold for the aforementioned state switching can be configured via an initial SOC threshold issued from the user terminal (via an application on the user terminal), or it can be configured in the main control MCU of the BMS. This embodiment of the present disclosure does not limit this. Through the above configuration, the system can perform adaptive management according to the user's personalized needs, balancing between "extending standby time" and "retaining necessary power".

[0030] In one embodiment, the BMS system of this disclosure enters the Full Operational State when powered on or awakened by any activation source (PV / AC / button). At this time, all functional modules of the BMS are turned on, including voltage, current, and temperature acquisition, SOC calculation and equalization control, as well as full communication with the user terminal APP, IoT or inverter module. It can realize PV / AC charging and AC / DC discharging. The power consumption of the whole machine is the highest at this time, about 100mA. When a remote sleep command is received from the user terminal APP or the SOC initial threshold is reached, the BMS enters a sleep state (also known as a deep sleep state). At this time, the system can shut down most peripherals and communication modules (such as CAN) of the main control MCU, and implement timed wake-up at preset periods (e.g., 6 hours) through a low-power timer (LPTIM). It monitors the wake-up signal of the activation source (e.g., a specific square wave or level signal) in real time, and wakes up immediately once detected. It determines whether to enter a sleep state or a shutdown state based on the SOC initial threshold. In this embodiment, the sleep state only maintains key monitoring and remote wake-up standby capabilities. The BMS power consumption is controlled below 250μA, and the overall power consumption is below 8mA, realizing low-power operation of the energy storage device. When the BMS enters the shutdown state, it only maintains the power management unit with the lowest power consumption and cannot be remotely woken up, thus maximizing the preservation of remaining power. The BMS power consumption can be controlled below 20μA.

[0031] In one exemplary instance, in step 30, the initial SOC thresholds of the first switching mode and the second switching mode are adjusted based on the operating data of the energy storage device, including step 31: adjusting the initial SOC threshold of the first switching mode based on the operating data of the SOC value when entering the hibernation state and the number of times the hibernation state is woken up; specifically, step 31 is implemented through the following steps 311 to 315.

[0032] Step 311: When the energy storage device meets the adjustment conditions within a preset time, adjust the initial SOC threshold of the first switching mode corresponding to each application scenario.

[0033] The adjustment condition is that the SOC value of the energy storage device when it switches to the dormant state within a preset time meets an increasing or decreasing trend.

[0034] It is worth noting that during the operation of the energy storage device, there are several scenarios in which the device enters a dormant state: it can automatically enter a dormant state based on the set initial SOC threshold of the first switching mode, or it can be forcibly entered into a dormant state in response to user operation, which can be done by pressing a button or by sending a command remotely. The BMS system of the energy storage device records the SOC value each time it enters a dormant state. At each preset time interval, it determines whether the initial SOC threshold of the first switching mode needs to be adjusted. The process of determining whether the initial SOC threshold of the first switching mode needs to be adjusted is as follows: initially, the SOC values ​​of all energy storage systems that enter a dormant state within each preset time interval are acquired, and a linear fit is performed on all these SOC values. If the SOC shows an increasing or decreasing trend within the preset time interval, the initial SOC threshold of the first switching mode needs to be adjusted. At each preset time interval, it is determined whether the initial SOC threshold of the first switching mode needs to be adjusted. When adjustment is required, the initial SOC threshold of the first switching mode is adjusted through the following steps 312 to 315.

[0035] Step 312: Calculate the average SOC of the energy storage device when it enters a dormant state within a preset time.

[0036] At preset intervals, the initial SOC threshold of the first switching mode of the energy storage system is adjusted. Within the preset time, the BMS system of the energy storage device may enter various sleep states as mentioned above. The SOC values ​​of all sleep states within the preset time are obtained, and the mean value Aes is calculated based on the SOC values ​​of all sleep states. The mean value Aes reflects the user's usage habits.

[0037] Step 313: Obtain the SOC difference based on the mean and the initial SOC threshold of the first switching mode, and determine the first adjustment value based on the SOC difference and the learning weight. The learning weight changes with different application scenarios.

[0038] In one specific embodiment, the formula for calculating the first adjustment value Adj1 is: Adj1=α*(Aes-Td1), where α is the learning weight and Td1 is the initial SOC threshold of the first switching mode for different application scenarios.

[0039] In one specific embodiment, the learning weight α changes according to different application scenarios, where 0 < α < 0.2. Specifically, for daily use scenarios, long-distance travel scenarios, and emergency backup scenarios, α is adjusted rapidly, moderately, and conservatively, respectively, from large to small, to meet the power supply duration requirements of different application scenarios. A relatively large adjustment is made to the initial SOC threshold for larger scenarios, and a relatively small adjustment is made to the initial SOC threshold for smaller scenarios. In this embodiment, the value of α for daily use scenarios can be 0.2, the value of α for long-distance travel scenarios can be 0.15, and the value of α for emergency backup scenarios can be 0.1.

[0040] It is worth noting that the SOC value during multiple switches to sleep mode within a preset time period reflects the user's usage habits and operating data. The aforementioned SOC difference (Aes-Td1) measures the deviation between the current initial SOC threshold and the actual SOC value of the operating data. However, the degree of SOC deviation that needs to be considered varies for different application scenarios. Therefore, it is necessary to dynamically adjust the size of the learning weight α according to different application scenarios to obtain different first adjustment values ​​for different application scenarios. That is, the learning weight α represents the degree of learning of the operating data of the user during the device learning process for different application scenarios.

[0041] Step 314: When the adjustment conditions are met, the wake-up difference rate is determined based on the preset target wake-up rate and the statistical wake-up rate of the energy storage device, and the second adjustment value is determined based on the wake-up difference rate and the wake-up response weight. The statistical wake-up rate is the wake-up frequency of the energy storage device in the sleep state within a preset time, which is determined based on the number of wake-ups in the sleep state. The wake-up response weight changes with different application scenarios.

[0042] In one specific embodiment, the formula for calculating the second adjustment value Adj2 is: Adj2 = β * (W tatio -W target ), where W tatio Statistical wake-up rate, W target Target wake-up rate.

[0043] The target wake-up rate can be understood as a set appropriate wake-up frequency, serving as a reference baseline. The process for determining the statistical wake-up rate is as follows: obtain the number of times the energy storage device enters sleep mode (N1) within a preset time, obtain the number of times the energy storage device wakes up from sleep mode (N2) within the preset time, and calculate the statistical wake-up rate as N2 / N1 * 100%. The statistical wake-up rate is used to determine if the current initial SOC threshold is too low, resulting in too many wake-ups. If the number of wake-ups is too high, it indicates that the current initial SOC threshold is too low and needs to be adjusted adaptively based on actual user usage.

[0044] Understandably, when energy storage devices are operating at a suitable wake-up frequency, wake-ups are not excessively frequent. When the statistical wake-up rate exceeds the target wake-up rate, it means that the current initial SOC threshold Td1 is too high, and the initial threshold needs to be appropriately reduced; the aforementioned wake-up difference rate (W) tatio -W target The degree of adjustment needed varies depending on the application scenario. For example, the wake-up rate needs to be paid more attention to in daily use scenarios than in emergency backup scenarios. That is, the wake-up response weight value in daily use scenarios should be greater than that in emergency backup scenarios. Emergency backup scenarios do not need to be overly sensitive to the wake-up status of the dormant state.

[0045] In one specific embodiment, the wake-up response weight is determined in a way similar to the learning weight, which is set to 0 < β ≤ 1. For daily use scenarios, long-distance travel scenarios, and emergency backup scenarios, β is adjusted sensitively, generally, and gradually from large to small, respectively. This adapts to the power supply duration requirements of different application scenarios. Larger initial SOC thresholds are adjusted relatively quickly, while smaller initial SOC thresholds are adjusted relatively gradually. Specifically, the β value for daily use scenarios can be 1, the β value for long-distance travel scenarios can be 0.8, and the β value for emergency backup scenarios can be 0.5.

[0046] Step 315: Determine the SOC adjustment threshold for the first switching mode based on the initial SOC threshold, the first adjustment value, and the second adjustment value of the first switching mode.

[0047] In one specific embodiment, the SOC adjustment threshold Adj of the initial SOC threshold of the first switching mode SOC1 For: Adj SOC1 =Td1+Adj1-Adj2.

[0048] In this embodiment of the application, when dynamically adjusting the initial SOC threshold of the first switching mode, the operating data during the use of the device is taken into account, and the initial SOC threshold is adjusted according to the actual situation. This allows the energy storage device to meet low power consumption management requirements while also ensuring that the operation of the energy storage device conforms to the actual application situation, making management more intelligent.

[0049] In one exemplary instance, step 30 involves adjusting the initial SOC threshold of the first switching mode and the second switching mode based on operational data (the operational data includes the SOC value when entering hibernation state within a preset time, the number of times the hibernation state is woken up, and the SOC value when forcibly switching to the shutdown state). This includes step 32: adjusting the initial SOC threshold of the second switching mode based on operational data.

[0050] In one exemplary instance, step 30, based on the operating data of the energy storage device, adjusts the initial SOC thresholds of the first switching mode and the second switching mode, and further includes step 32: based on the operating data of the device failure event, adjusts the initial SOC threshold of the second switching mode for each application scenario; specifically, step 32 is implemented through the following steps 321 to 322.

[0051] Step 321: Determine the third adjustment value based on the flag value indicating whether a device failure event has occurred and the preset safety penalty weight.

[0052] In one specific embodiment, the third adjustment value Adj3 = P * flag, where P is the security penalty weight, and the value range of P is (3%, 10%). flag is the flag when a fault event occurs, and flag = 1 when a fault event occurs and flag = 0 when no fault event occurs.

[0053] Step 322: Determine the adjusted SOC adjustment threshold for the second switching mode based on the initial SOC threshold and the third adjustment value for the second switching mode.

[0054] Specifically, the SOC adjustment threshold Adj for the second switching mode SOC2 =Td2+Adj3, where Td2 is the initial SOC threshold for the second switching mode.

[0055] In this embodiment, adjusting the initial SOC threshold of the second switching mode is a learning fault event process. When any of the first, second, or third fault events occurs, the initial SOC threshold Td2 of the second switching mode needs to be increased to obtain a larger SOC adjustment threshold for the second switching mode, thus reserving more buffer power for the future and ensuring safety first.

[0056] In one exemplary instance, after determining the SOC adjustment threshold of the adjusted second switching mode, the state switching threshold determination method of this disclosure embodiment further includes: When the SOC adjustment threshold of the second switching mode is greater than the preset maximum threshold, the SOC adjustment threshold is reduced to the preset default threshold.

[0057] This application embodiment avoids conflicts between the SOC adjustment threshold of the second switching mode and the SOC adjustment threshold of the first switching mode by reducing the SOC adjustment threshold to a preset default threshold, thus ensuring the stable operation of the BMS. This disclosure embodiment can reduce the SOC adjustment threshold of the second switching mode to the default threshold according to a received external adjustment command; or, according to a preset adjustment strategy, automatically adjust the SOC adjustment threshold of the second switching mode to the default threshold.

[0058] In this embodiment, the energy storage device is controlled to switch to a sleep state or a shutdown state based on the received remote sleep command. Specifically, if the SOC value of the energy storage device is less than or equal to the SOC threshold of the second switching mode (the initial SOC threshold before the threshold is adjusted, and the adjusted SOC threshold after the threshold is adjusted), the energy storage device is switched to a shutdown state; if the SOC value of the energy storage device is greater than the SOC threshold of the second switching mode, the device enters a sleep state according to the remote sleep command.

[0059] In one exemplary instance, the energy storage device of this disclosure embodiment includes a master package and a slave package, and the energy storage device performs state switching through the following processes: The MCU of the master unit of the energy storage device broadcasts a state switching command to all slave units to synchronize the state switching between the master and slave units.

[0060] In this embodiment of the energy storage device, the master MCU can broadcast a unified state switching command (e.g., 0x01 represents entering shutdown, 0x10 represents entering hibernation) to all slaves via a CAN bus or Daisy-Chain link. By introducing master-slave collaborative control, in the architecture of the master control unit (Master) and the communication coprocessing unit (Slave), the master is responsible for core decision-making and state management. The master uniformly receives instructions and decisions and broadcasts state switching commands, ensuring that all slaves act synchronously. The slaves are dedicated to low-power communication and synchronous execution of instructions. The two work together to achieve unified and efficient charging and discharging management and state switching, ensuring the stability and response speed of the system, ensuring consistent behavior of multiple battery packs, fundamentally solving the problem of inconsistent states in multi-pack systems, avoiding danger or energy loss caused by mutual charging and discharging due to different states; and improving the overall reliability and safety of the system.

[0061] In one exemplary embodiment, the present disclosure may use a specific square wave signal as the activation signal source for wake-up (such as a pulse of a specific frequency); wake-up based on the activation signal source of the specific square wave signal enhances anti-interference capability, effectively avoids false wake-up caused by noise, and ensures the stability of ultra-low power consumption.

[0062] This disclosure also provides a storage medium storing a computer program, which, when executed by a processor, implements the above-described method for determining the state switching threshold.

[0063] This disclosure also provides an energy storage system, including: a memory and a processor, wherein the memory stores a computer program; wherein, The processor is configured to execute computer programs in memory; When a computer program is executed by a processor, it implements the state switching threshold determination method described above.

[0064] Figure 2 This is a structural block diagram of a state switching threshold determination device according to an embodiment of the present disclosure, applied to an energy storage device, such as... Figure 2 As shown, it includes: a scene recognition unit, an initial threshold unit, and a threshold adjustment unit; wherein, The scene recognition unit is set to determine the corresponding application scenario of the energy storage device based on the regional information of the energy storage device. The regional information includes location information, climate information and time information. Different application scenarios require different power supply durations. The initial threshold unit is set as follows: the initial threshold of the state of charge (SOC) of the energy storage device is determined based on different application scenarios. The state switching includes a first switching mode and a second switching mode. The first switching mode is switching from the working state to the dormant state and the second switching mode is switching from the dormant state to the power-off state. The power consumption of the energy storage device in the dormant state is less than the power consumption in the working state. The threshold adjustment unit is configured to adjust the initial SOC threshold of the first switching mode and the second switching mode based on the operating data of the energy storage device to obtain the SOC adjustment threshold. The operating data includes the SOC value when entering the hibernation state, the number of times the hibernation state is woken up, and the device fault events.

[0065] The state switching threshold determination device described in this embodiment can be integrated into the internal circuit of the energy storage device, or it can be a structural component connected to the energy storage device. This embodiment does not limit this.

[0066] It will be understood by those skilled in the art that all or some of the steps, systems, or apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term "computer storage medium" includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

Claims

1. A state switching threshold value determination method applied to an energy storage device, characterized in that, The state switching threshold determination method comprises: Based on the region information of the energy storage device, determine the application scenario corresponding to the energy storage device, wherein the region information includes location information, climate information and time information, and the required power supply time of different application scenarios is different; Based on different application scenarios, determine the SOC initial threshold value of the energy storage device when the state switching, the state switching includes the first switching mode and the second switching mode, the first switching mode is the working state switching to the sleep state and the second switching mode is the sleep state switching to the shutdown state, the power consumption of the energy storage device in the sleep state is less than the power consumption in the working state; Based on the operation data of the energy storage device, adjust the SOC initial threshold value of the first switching mode and the second switching mode to obtain the SOC adjustment threshold value, the operation data includes the SOC value when entering the sleep state, the sleep state wake-up times and the device fault events.

2. The state transition threshold value determination method according to claim 1, characterized by, The application scenario corresponding to the energy storage device is determined based on the region information of the energy storage device, comprising: Based on the location information, when the energy storage device is in a preset active area and lasts for a first preset time, it is determined that the application scenario of the energy storage device is a daily use scenario; Based on the time information, when the energy storage device is in a pre-set rest time period, it is determined that the application scenario of the energy storage device is a daily use scenario; Based on the location information and time information, when the energy storage device has a displacement greater than a preset displacement threshold within a second preset time, it is determined that the application scenario of the energy storage device is a long-distance travel scenario; Based on the climate information, when the energy storage device is in an extreme weather warning state, it is determined that the application scenario of the energy storage device is an emergency standby scenario.

3. The state transition threshold value determination method according to claim 2, characterized by, The SOC initial threshold value of the energy storage device when the state switching is determined based on different application scenarios, comprising: When the application scenario includes the daily use scenario, the SOC initial threshold value of the first switching mode is determined as a first threshold value; When the application scenario includes the long-distance travel scenario, the SOC initial threshold value of the first switching mode is determined as a second threshold value; When the application scenario includes the emergency standby scenario, the SOC initial threshold value of the first switching mode is determined as a third threshold value; Wherein, the first threshold value < the second threshold value < the third threshold value.

4. The state transition threshold value determination method according to claim 3, characterized by, The SOC initial threshold value of the energy storage device when the state switching is determined based on different application scenarios, further comprising: When the application scenario includes the daily use scenario, the SOC initial threshold value of the second switching mode is determined as a fourth threshold value; When the application scenario includes the long-distance travel scenario, the SOC initial threshold value of the second switching mode is determined as a fifth threshold value; When the application scenario includes the emergency standby scenario, the SOC initial threshold value of the second switching mode is determined as a sixth threshold value; Wherein, the fourth threshold value < the fifth threshold value < the sixth threshold value, the fourth threshold value < the first threshold value, the fifth threshold value < the second threshold value, and the sixth threshold value < the third threshold value.

5. The state transition threshold value determination method according to any one of claims 1 to 4, characterized by, The adjustment of the SOC initial threshold value comprises: adjusting the SOC initial threshold value of the first switching mode corresponding to each application scenario based on the SOC value when entering the sleep state and the running data of the number of wake-ups from the sleep state, comprising: When the energy storage device meets the adjustment condition within a preset time, calculate the average value of the SOC of the energy storage device entering the sleep state within the preset time; Based on the average value and the SOC initial threshold value of the first switching mode, obtain the SOC difference value, and determine the first adjustment value based on the SOC difference value and the learning weight, which changes with different application scenarios; When the adjustment condition is met, determine the wake-up difference rate based on the preset target wake-up rate and the statistical wake-up rate of the energy storage device, and determine the second adjustment value based on the wake-up difference rate and the wake-up response weight, wherein the statistical wake-up rate is the wake-up frequency of the energy storage device in the sleep state within a preset time determined according to the number of wake-ups from the sleep state, and the wake-up response weight changes with different application scenarios; Based on the SOC initial threshold value of the first switching mode, the first adjustment value and the second adjustment value, determine the SOC adjustment threshold value of the first switching mode; The adjustment condition is that the SOC value of the energy storage device switching to the sleep state within a preset time meets the increasing or decreasing trend.

6. The state transition threshold value determination method according to any one of claims 1 to 4, characterized by, The adjustment of the SOC initial threshold value also comprises adjusting the SOC initial threshold value of the second switching mode of each application scenario based on the running data of the device failure event, comprising: Determine the third adjustment value based on the flag value indicating whether the device failure event occurs and the preset safety penalty weight; Determine the adjusted SOC adjustment threshold value of the second switching mode according to the SOC initial threshold value of the second switching mode and the third adjustment value.

7. The state transition threshold value determination method according to claim 6, characterized by, After determining the adjusted SOC adjustment threshold value of the second switching mode, the state switching threshold value determination method further comprises: When the SOC adjustment threshold value of the second switching mode is greater than the pre-set maximum threshold value, the SOC adjustment threshold value is reduced to the pre-set default threshold value.

8. An energy storage system comprising: Memory and processor, characterized in that the memory has a computer program; wherein, The processor is configured to execute the computer program in the memory; The computer program is executed by the processor to implement the state switching threshold value determination method according to any one of claims 1 to 7, and to control the system in the first switching mode and the second switching mode according to the determined SOC initial threshold value or SOC adjustment threshold value.

9. A storage medium having stored therein a computer program, characterized in that, The computer program is executed by the processor to implement the state switching threshold value determination method according to any one of claims 1 to 7.

10. A state switching threshold value determination apparatus applied to an energy storage device, characterized by, Comprise: Scene recognition unit, initial threshold unit and threshold adjustment unit; wherein, The scene recognition unit is configured to determine the application scenario corresponding to the energy storage device based on the region information of the energy storage device, wherein the region information includes location information, climate information and time information, and the required power supply time of different application scenarios is different; The initial threshold unit is configured to determine an SOC initial threshold of the energy storage device when switching between states based on different application scenarios, the switching between states including a first switching mode and a second switching mode, the first switching mode being switching from an active state to a sleep state and the second switching mode being switching from the sleep state to a shutdown state, power consumption of the energy storage device in the sleep state being less than power consumption in the active state; The threshold adjustment unit is configured to adjust the SOC initial threshold of the first switching mode and the second switching mode based on operation data of the energy storage device to obtain an SOC adjustment threshold, the operation data including an SOC value when entering the sleep state, a number of times of waking up from the sleep state, and a device failure event.

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