Power regulation method and system based on multi-source energy storage

Abstract

The application relates to the technical field of battery monitoring, in particular to a power regulation method and system based on multi-source energy storage. The method comprises the following steps: collecting test voiceprint signals of various energy storage units at specified positions in the debugging stage, and marking the voiceprint features corresponding to the over-limit temperature rising rate as target voiceprint features; collecting voiceprint signals in real time in the running stage and comparing the voiceprint signals with the target voiceprint features, if the voiceprint signals match the target voiceprint features, marking the energy storage units as abnormal energy storage units; reducing the output of the abnormal energy storage units by a preset allocated power, and distributing the power to other energy storage units which have not triggered the abnormal marking. The application utilizes the sensitivity of the voiceprint signals to the internal physical state, realizes the early prospective perception and active balancing of thermal runaway, effectively reduces the thermal risk of the system and improves the power supply reliability.

Description

Technical Field

[0001] This application relates to the field of battery monitoring technology, specifically to a power regulation method and system based on multi-source energy storage. Background Technology

[0002] With the rapid development of new energy technologies, multi-source energy storage systems have been widely used due to their ability to combine the advantages of different energy storage media. A typical multi-source energy storage system usually consists of flow batteries, lithium batteries, and supercapacitors, utilizing the long-term energy storage characteristics of flow batteries, the high energy density of lithium batteries, and the high power density of supercapacitors to meet the complex power supply needs of grid dispatching or microgrids.

[0003] However, in the actual operation of multi-source energy storage systems, the distribution of internal heat sources and the rate of heat generation are extremely uneven among the energy storage units due to differences in electrochemical characteristics, aging levels, and operating condition responses. This poses a significant challenge to the system's thermal management and safety control. Existing technical solutions mainly rely on temperature sensors arranged on the surface of battery modules or cooling channels for thermal monitoring, but these solutions have the following significant technical drawbacks in practical applications: First, there is the inherent concealment of heat sources and the significant lag in temperature detection. Critical areas such as the stack of flow batteries, the tab connections of lithium batteries, and the dielectric boundary layer of supercapacitors are often "hot spots" for heat generation. These hot spots are deeply embedded within the components, making them difficult for external temperature sensors to directly detect. There is a significant physical lag in heat conduction from the interior to the outer casing and sensor surface. Studies show that this heat conduction process causes monitoring data to lag behind actual internal temperature changes by tens of seconds or even longer. By the time a temperature sensor detects an abnormal temperature rise, the energy storage unit has often already undergone severe side reactions or structural deformation, and may even be on the verge of thermal runaway. This lag prevents the control system from intervening in the early stages of thermal risks, forcing it to react passively and severely limiting the temperature control capabilities of the energy storage unit.

[0004] Therefore, how to solve the lag in temperature detection without relying on invasive sensors and achieve proactive sensing and balancing of hidden heat sources inside multi-source energy storage systems is a technical problem that urgently needs to be solved. Summary of the Invention

[0005] In view of this, this application provides a power regulation method and system based on multi-source energy storage, which can solve the lag in temperature detection and realize the forward-looking perception and active balancing of hidden heat sources inside the multi-source energy storage system.

[0006] In a first aspect, this application provides a power regulation method based on multi-source energy storage, comprising: during the commissioning and testing phase, collecting test acoustic fingerprint signals of various energy storage units at designated locations under different operating conditions; when the heating rate of the designated locations of various energy storage units is higher than a preset rate, marking the characteristics of the corresponding test acoustic fingerprint signals as target acoustic fingerprint features; during the power supply operation phase, collecting real-time acoustic fingerprint signals of various energy storage units at designated locations under different operating conditions; if the characteristics of the real-time acoustic fingerprint signal of the energy storage unit under the current operating condition match the corresponding target acoustic fingerprint features, triggering an anomaly marker and marking it as an abnormal energy storage unit; reducing the output of the abnormal energy storage unit by a preset allocated power, and allocating the preset allocated power to other energy storage units that have not triggered an anomaly marker.

[0007] In conjunction with the first aspect, in one possible implementation, when the heating rate at the designated location of each type of energy storage unit in the pre-test is higher than a preset rate, marking the characteristics of the corresponding test acoustic signature signal as target acoustic signature features includes: during the commissioning and testing phase, real-time monitoring of the real-time temperature at the designated location of the energy storage unit; under various operating conditions, controlling the energy storage unit to gradually increase the load until the heating rate of the real-time temperature reaches the preset rate, and maintaining it for a preset duration; setting a redundant duration before the start of the preset duration, and using the superposition of the redundant duration and the preset duration as a collection window; collecting the test acoustic signature signal at the designated location within the collection window under the corresponding operating condition; obtaining the corresponding target acoustic signature feature based on the test acoustic signature signal; the target acoustic signature feature includes target frequency shift and target amplitude change.

[0008] In conjunction with the first aspect, in one possible implementation, acquiring the test acoustic signature signal at the designated location under the corresponding working condition within the acquisition window includes: acquiring the signal frequency data and signal amplitude data of the vibration signal at the designated location under the corresponding working condition within the acquisition window; obtaining the corresponding target acoustic signature feature based on the test acoustic signature signal includes: removing the maximum and minimum frequency shifts from the signal frequency data and calculating the average frequency shift to obtain the target frequency shift; removing the maximum and minimum amplitude changes from the signal amplitude data and calculating the average amplitude change to obtain the target amplitude change.

[0009] In conjunction with the first aspect, in one possible implementation, reducing the output of the abnormal energy storage unit by a preset allocated power and allocating the preset allocated power to other energy storage units that have not triggered an abnormality flag includes: obtaining real-time frequency shift and real-time amplitude change based on the real-time acoustic signature signal; if the real-time frequency shift is greater than or equal to the target frequency shift, and / or the real-time amplitude change is greater than or equal to the target amplitude change, then marking the energy storage unit corresponding to the real-time acoustic signature signal as the abnormal energy storage unit.

[0010] In conjunction with the first aspect, in one possible implementation, reducing the output of the abnormal energy storage unit by a preset allocated power and allocating the preset allocated power to other energy storage units that have not triggered an abnormality flag includes: setting a safe load corresponding to each energy storage unit; if the current load of an energy storage unit is less than the safe load, obtaining a redundant load based on the current load and the safe load; marking other energy storage units other than the abnormal energy storage unit that have the redundant load as allocable units, and calculating the redundant load ratio among multiple allocable units; and allocating the preset allocated power to the allocable units according to the redundant load ratio.

[0011] In conjunction with the first aspect, one possible implementation further includes: if the current load of the energy storage unit exceeds the safe load and the abnormality flag is not triggered, then the current load is reduced to less than or equal to the safe load.

[0012] In conjunction with the first aspect, one possible implementation further includes: if all the energy storage units trigger the abnormality flag, gradually and synchronously reduce the output power of each of the energy storage units until at least one of the energy storage units cancels the abnormality flag; reduce the output of the abnormal energy storage unit by a preset allocation power, and allocate the preset allocation power to other energy storage units that have not triggered the abnormality flag.

[0013] In conjunction with the first aspect, in one possible implementation, a fan is arranged between adjacent energy storage units; the method further includes: if at least one of the energy storage units is marked as the abnormal energy storage unit, then increasing the heat dissipation power of the adjacent energy storage units of the abnormal energy storage unit; and increasing the air supply power of the fan adjacent to the abnormal energy storage unit to the energy storage units.

[0014] In conjunction with the first aspect, in one possible implementation, the energy storage unit includes: flow battery, lithium battery, and supercapacitor; the operating conditions include: charge / discharge rate, SOC range, and ambient temperature.

[0015] Secondly, this application provides a power regulation system based on multi-source energy storage, comprising: a soundprint testing module configured to: during the debugging and testing phase, collect test soundprint signals of various energy storage units at designated locations under different operating conditions; when the heating rate of the designated locations of various energy storage units is higher than a preset rate, mark the characteristics of the corresponding test soundprint signals as target soundprint features; a real-time detection module configured to: during the power supply operation phase, collect real-time soundprint signals of various energy storage units at designated locations under different operating conditions; a judgment module, communicatively connected to the soundprint testing module and the real-time detection module respectively, the judgment module being configured to: if the characteristics of the real-time soundprint signal of the energy storage unit under the current operating condition match the corresponding target soundprint features, trigger an anomaly marker and mark it as an abnormal energy storage unit; and a power optimization module, communicatively connected to the judgment module, the power optimization module being configured to: reduce the output of the abnormal energy storage unit by a preset allocated power and allocate the preset allocated power to other energy storage units that have not triggered an anomaly marker.

[0016] This application utilizes the sensitivity of acoustic fingerprint signals to the internal physical state of energy storage units, such as lithium plating, minute vibrations caused by internal short circuits, or airflow changes, to achieve early detection of thermal runaway, which is superior to the lagging monitoring of traditional temperature sensors alone. Because of this early detection, cooling measures can be implemented in advance, effectively improving the temperature control capability of the energy storage unit. Through derating and redistribution, fault sources are isolated without interrupting the system power supply, ensuring the continuity of power supply to the load side. This enables unified monitoring and scheduling of multiple types of energy storage units within the same power supply system, improving the overall reliability of the hybrid energy storage system. Attached Figure Description

[0017] Figure 1 The diagram shows the steps of a power regulation method based on multi-source energy storage provided in an embodiment of this application.

[0018] Figure 2 The diagram shows the steps involved in determining the target voiceprint features.

[0019] Figure 3 The diagram shows the steps involved in determining specific voiceprint features.

[0020] Figure 4 The diagram shows the steps for marking abnormal energy storage units.

[0021] Figure 5 The diagram shows the power allocation steps.

[0022] Figure 6 The diagram shows the steps to reduce load when overloaded.

[0023] Figure 7 The diagram shows the steps for handling all energy storage units in case of malfunction.

[0024] Figure 8 The diagram shows the steps of air supply.

[0025] Figure 9 The diagram shown is a schematic of the fan supplying air. Detailed Implementation

[0026] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0027] Figure 1 The diagram shown illustrates the method steps of a power regulation method based on multi-source energy storage according to an embodiment of this application. This application provides a power regulation method based on multi-source energy storage. In one embodiment, as shown... Figure 1 As shown, the method includes: Step 101: During the commissioning and testing phase, collect test acoustic fingerprint signals from designated locations of various energy storage units under different operating conditions.

[0028] In this application, the types of energy storage units include: flow batteries, lithium batteries, and supercapacitors; the types of operating conditions include: charge / discharge rate, SOC range, and ambient temperature. Examples of designated locations for energy storage units are as follows: Lithium batteries: positive and negative electrode tabs; Flow batteries: inside the stack (positive and negative electrode chambers), electrolyte inflow / outflow pipelines; Supercapacitors: inside the capacitor core, electrode material and current collector connection interface, and outer casing surface.

[0029] Step 102: When the heating rate at a designated location of various energy storage units is higher than the preset rate, mark the corresponding test acoustic signature signal as the target acoustic signature feature.

[0030] Step 103: During the power supply operation phase, collect real-time acoustic fingerprint signals from designated locations of various energy storage units under different operating conditions.

[0031] Determine whether the characteristics of the real-time voiceprint signal of the energy storage unit under the current operating condition match the corresponding target voiceprint characteristics. If so, proceed to step 104, trigger the abnormal marker and mark it as an abnormal energy storage unit.

[0032] Step 105: Reduce the output of the abnormal energy storage unit to the preset allocated power, and allocate the preset allocated power to other energy storage units that have not triggered the abnormal flag.

[0033] This embodiment constructs a closed-loop control system for the entire power supply. First, during the commissioning and testing phase, the system performs high-precision acoustic signature signal acquisition at designated key locations (such as the tabs of lithium batteries, the internal structure and piping of flow batteries, and the electrode interfaces of supercapacitors) under specific operating conditions (e.g., different charge / discharge rates, SOC ranges, and ambient temperatures) for different types of energy storage units, including flow batteries, lithium batteries, and supercapacitors. Temperature detection during the pre-test phase can employ non-contact temperature detection. Acoustic signature signal acquisition can utilize active ultrasonic detection or passive acoustic wave detection. Acoustic wave detection can perform precise detection at a specific location or perform large-scale detection before extracting the acoustic signature signal at the designated location. Based on this, the system determines the target acoustic signature characteristics through pre-testing: due to the lag in temperature monitoring, and the earlier occurrence of mechanical deformation in the structural hardware, mechanical deformation has already occurred when the energy storage unit's temperature rise rate exceeds the safety preset value. The acoustic signature signal characteristics corresponding to the temperature rise rate exceeding the limit are determined as the fault baseline. After entering the power supply operation phase, the system collects the acoustic signature signals of each unit in real time and compares them with the target acoustic signature features mentioned above. Once a match is successful, an anomaly marker is triggered, identifying the abnormal energy storage unit. The control strategy then starts: automatically reducing the output power of the abnormal unit and dynamically redistributing this power gap to other energy storage units in the system that have not triggered an anomaly marker, achieving real-time power compensation; when the heating rate of other energy storage units with allocated power exceeds the limit, an anomaly marker will be triggered again, and the preset allocated power will be redistributed, forming a closed-loop control. The magnitude of the preset allocated power can affect the triggering frequency of the closed-loop control. For example, the preset allocated power can be set to 10%, 15%, 20%, 25%, or 30% of the full power of the corresponding energy storage unit. The larger the value, the more likely it is to cause other energy storage units with allocated power to trigger an anomaly marker and thus trigger the closed-loop control.

[0034] This embodiment utilizes the sensitivity of acoustic signature signals to the internal physical state of the energy storage unit, such as lithium plating, minute vibrations caused by internal short circuits, or airflow changes, to achieve early detection of thermal runaway, which is superior to the lagging monitoring of traditional temperature sensors alone. Because of this early detection, cooling measures can be implemented in advance, effectively improving the temperature control capability of the energy storage unit. Through derating and redistribution, fault sources are isolated without interrupting the system power supply, ensuring the continuity of power supply to the load side. This enables unified monitoring and scheduling of multiple types of energy storage units within the same power supply system, improving the overall reliability of the hybrid energy storage system.

[0035] Figure 2 The diagram illustrates the steps of a method for determining target voiceprint features. In one embodiment, as shown... Figure 2 As shown, step 102 includes: Step 201: During the commissioning and testing phase, monitor the real-time temperature at a designated location of the energy storage unit.

[0036] Step 202: Under various operating conditions, control the energy storage unit to gradually increase the load until the real-time temperature rise rate reaches the preset rate and is maintained for a preset duration.

[0037] Step 203: Set a redundant duration before the start of the preset duration, and use the superposition of the redundant duration and the preset duration as the acquisition window.

[0038] Step 204: Collect the test voiceprint signal at the specified location in the acquisition window under the corresponding working condition.

[0039] Step 205: Obtain the corresponding target voiceprint features based on the test voiceprint signal. The target voiceprint features include target frequency shift and target amplitude variation.

[0040] In this embodiment, during the commissioning phase, a temperature and load linkage control method is employed: real-time monitoring of the temperature at a designated location is used to control the energy storage unit to gradually increase the load until the heating rate reaches a preset rate. The preset rate is determined based on the actual power supply scenario and expert experience. For example, in a small computer room power supply system, the preset rate is set to 1℃ / min during the early stages of power supply operation; after a long period of power supply, the preset rate is set to 1.5℃ / min; and during periods of high temperature instability in the entire power supply system, the preset rate can be further increased to 2℃ / min. Simultaneously, the system sets a specific acquisition window, which is formed by superimposing a preset duration and a redundant duration before its start point. Due to the lag in temperature changes, the redundant duration allows for the acquisition of acoustic signature signal changes caused by mechanical deformation before the temperature change. The system captures the test acoustic signature signal within this window and extracts feature vectors containing target frequency shift and target amplitude changes. A preset duration of 1 minute is sufficient to cover the mechanical deformation conditions before the temperature change. This embodiment correlates and maps voiceprint acquisition with excessive heating rate, ensuring that the extracted voiceprint features are indeed caused by heating, rather than environmental noise, thus establishing a mapping relationship between voiceprint and temperature change. The redundant duration ensures that voiceprint signal changes caused by mechanical deformation before the temperature change can be acquired, preventing the loss of key features due to sampling delay.

[0041] Figure 3 The diagram illustrates the specific steps for determining voiceprint features. In one embodiment, as shown... Figure 3 As shown, step 204 includes: Step 301: Collect the signal frequency data and signal amplitude data of the vibration signal in the acquisition window at the specified location under the corresponding working conditions.

[0042] Step 205 includes: Step 302: Remove the maximum and minimum frequency shifts from the signal frequency data, and calculate the average frequency shift to obtain the target frequency shift.

[0043] Step 303: Remove the maximum and minimum amplitude changes from the signal amplitude data, and calculate the average amplitude change to obtain the target amplitude change.

[0044] In this embodiment, after acquiring the vibration signal within the acquisition window, the system identifies and removes the maximum / minimum frequency shift extrema in the frequency data and the maximum / minimum amplitude change extrema in the amplitude data. After removing these outliers, the system calculates the average value of the remaining data and determines it as the final target frequency shift and target amplitude change. This effectively filters out non-faulty, accidental interference. Using the average value as a feature benchmark makes subsequent judgment criteria smoother and more stable, avoiding misjudgments caused by a single abnormal data point and improving the system's anti-interference capability.

[0045] Figure 4 The diagram illustrates the steps for marking abnormal energy storage units. In one embodiment, as shown... Figure 4 As shown, step 105 includes: Step 401: Obtain the real-time frequency shift and real-time amplitude change based on the real-time voiceprint signal.

[0046] If the real-time frequency shift is greater than or equal to the target frequency shift, and / or the real-time amplitude change is greater than or equal to the target amplitude change, then proceed to step 402 and mark the energy storage unit corresponding to the real-time acoustic signature signal as an abnormal energy storage unit.

[0047] This embodiment calculates the real-time frequency shift and amplitude change of the current voiceprint signal and compares them with the preset target frequency shift and amplitude change. The determination logic adopts AND / OR logic: if the real-time frequency shift is greater than or equal to the target frequency shift; or the real-time amplitude change is greater than or equal to the target amplitude change; or both conditions are met, the energy storage unit is determined to be in an abnormal state, and a marking operation is performed.

[0048] Figure 5 The diagram shows the power allocation steps. In one embodiment, as... Figure 5 As shown, step 105 includes: Step 501: Set the safety load corresponding to each energy storage unit.

[0049] Step 502: If the current load of the energy storage unit is less than the safe load, then obtain the redundant load based on the current load and the safe load.

[0050] Step 503: Mark other energy storage units with redundant loads, excluding abnormal energy storage units, as allocable units, and calculate the redundant load ratio among multiple allocable units.

[0051] Step 504: Distribute the preset power allocation to the allocable units according to the redundant load ratio.

[0052] In this embodiment, the safe load limit for each energy storage unit is first set, typically 80% of the full load. For units without abnormalities, the difference between their current load and the safe load is calculated to obtain the redundant load. The system filters out all units with positive redundant loads and marks them as allocable units. Then, the redundant load ratio among these allocable units is calculated. Finally, the preset allocated power allocated to the abnormal unit is distributed to each allocable unit according to this redundant load ratio. For example, if energy storage unit A has a current load of 40%, energy storage unit B has a current load of 50%, and energy storage unit C has a current load of 65%, and energy storage unit D triggers an abnormality flag and is allocated 10% of its full power as the preset allocated power, the redundant load ratio of energy storage units A, B, and C is 6:5:3.5. The preset allocated power is then distributed to energy storage units A, B, and C according to this ratio. This avoids transferring power from the abnormal energy storage unit to energy storage units that are already close to full load, preventing a chain reaction of overload. This embodiment can allocate power on demand based on the actual carrying capacity, i.e., redundancy, of each energy storage unit, achieving load balancing within the system, maximizing the utilization rate of remaining healthy energy storage units, and extending the system's continuous power supply time. When the load of a non-abnormal energy storage unit continues to rise until the redundant load reaches 0, power will no longer be allocated to that energy storage unit. When a non-abnormal energy storage unit triggers an abnormal flag, step 105 will be triggered to allocate power again.

[0053] Figure 6 The diagram illustrates the steps for reducing load during overload. In one embodiment, as shown... Figure 6 As shown, this power regulation method based on multi-source energy storage also includes: Determine whether the current load of the energy storage unit exceeds the safe load. If so, determine whether the energy storage unit has triggered an abnormal flag. If no abnormal flag has been triggered, proceed to step 601: reduce the current load to less than or equal to the safe load.

[0054] In this embodiment, the acoustic signature signal of the energy storage unit does not trigger an abnormality flag. However, if it is detected that the current load of the energy storage unit has exceeded the preset safe load, the current load of the energy storage unit is reduced until it falls back to the safe load range.

[0055] Figure 7 The diagram shows the handling steps when all energy storage units malfunction. In one embodiment, as shown... Figure 7 As shown, this power regulation method based on multi-source energy storage also includes: Determine whether all energy storage units have triggered an anomaly flag. If so, proceed to step 701 and gradually reduce the output power of each energy storage unit until at least one energy storage unit cancels the anomaly flag.

[0056] Step 702: Reduce the output of the abnormal energy storage unit to a preset allocated power and allocate the preset allocated power to other energy storage units that have not triggered the abnormal flag.

[0057] This embodiment handles the extreme scenario of all-failure. When the system detects that all energy storage units have triggered anomaly flags, there are no non-abnormal energy storage units available to receive the transferred power. The system then switches to a global load reduction mode: synchronously and gradually reducing the output power of all energy storage units. This process continues until at least one energy storage unit returns to a normal state, i.e., the anomaly flag is removed. At this point, the system switches back to the power allocation logic in steps 103-105. This embodiment avoids the complete system paralysis caused by forced scheduling when all energy storage units are abnormal. Reducing the load lowers battery temperature and internal pressure, effectively promoting the recovery of abnormal energy storage units to normal operation.

[0058] Figure 8 The diagram shows the steps of air supply. Figure 9 The diagram shows a schematic of the fan supplying air. In one embodiment, as shown... Figure 8 and 9 As shown, a fan 902 is installed between adjacent energy storage units 901. The fan 902 can supply air between adjacent energy storage units 901, and the air supply direction is as follows. Figure 9 As indicated by the middle arrow. This power regulation method based on multi-source energy storage also includes: Step 801: If at least one energy storage unit is marked as an abnormal energy storage unit, then increase the heat dissipation power of the adjacent energy storage units of the abnormal energy storage unit.

[0059] Step 802: Increase the air supply power from the wind turbines adjacent to the abnormal energy storage unit to the energy storage unit.

[0060] This embodiment introduces physical-level intervention measures. In the energy storage unit layout, fans are installed between adjacent units. When an energy storage unit is marked as abnormal, the system executes dual heat dissipation commands: increasing the heat dissipation power of adjacent energy storage units to weaken the thermal crosstalk effect; and increasing the air supply power of adjacent fans, with the airflow direction pointing between the abnormal unit and adjacent units, thereby forming an air barrier between adjacent units to weaken the thermal crosstalk effect and to a certain extent prevent heat from spreading to adjacent units through thermal radiation, effectively suppressing the risk of thermal runaway.

[0061] This application also provides a power regulation system based on multi-source energy storage, which includes: an acoustic signature testing module, a real-time detection module, a judgment module, and a power optimization module.

[0062] The voiceprint testing module is configured as follows: during the debugging and testing phase, it collects test voiceprint signals from designated locations of various energy storage units under different operating conditions; when the heating rate at a designated location of various energy storage units is higher than a preset rate, it marks the characteristics of the corresponding test voiceprint signal as the target voiceprint feature.

[0063] The real-time detection module is configured to: during the power supply operation phase, collect real-time acoustic fingerprint signals from designated locations of various energy storage units under different operating conditions.

[0064] The judgment module is connected to the voiceprint testing module and the real-time detection module respectively. The judgment module is configured as follows: if the characteristics of the real-time voiceprint signal of the energy storage unit under the current operating condition match the corresponding target voiceprint characteristics, then an anomaly marker is triggered and the unit is marked as an abnormal energy storage unit.

[0065] The power optimization module is connected to the judgment module. The power optimization module is configured to reduce the output of the abnormal energy storage unit by a preset allocated power and allocate the preset allocated power to other energy storage units that have not triggered the abnormal flag.

[0066] The basic principles of this application have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this application are merely examples and not limitations, and should not be considered as essential features of each embodiment of this application. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the application to the necessity of employing the aforementioned specific details for implementation.

[0067] The block diagrams of devices, apparatuses, devices, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0068] It should also be noted that in the apparatus, equipment, and methods of this application, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered as equivalent solutions of this application.

[0069] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this application. Therefore, this application is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features of the invention herein.

[0070] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications or equivalent substitutions made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A power regulation method based on multi-source energy storage, characterized in that, include: During the commissioning and testing phase, test acoustic fingerprint signals of various energy storage units at designated locations under different operating conditions are collected. When the heating rate at the designated location of each type of energy storage unit is higher than a preset rate, the characteristic of the corresponding test voiceprint signal is marked as the target voiceprint characteristic. During the power supply operation phase, real-time acoustic signature signals of various energy storage units at designated locations are collected under different operating conditions. If the features of the real-time voiceprint signal of the energy storage unit under the current operating condition match the corresponding target voiceprint features, then an anomaly marker is triggered and the unit is marked as an abnormal energy storage unit. The output of the abnormal energy storage unit is reduced to a preset allocated power, and the preset allocated power is distributed to other energy storage units that have not triggered the abnormal flag.

2. The power regulation method based on multi-source energy storage according to claim 1, characterized in that, When the heating rate at the designated location of each type of energy storage unit in the pre-test is higher than a preset rate, the characteristics of the corresponding test acoustic signature signal are marked as target acoustic signature features, including: During the commissioning and testing phase, the real-time temperature at the designated location of the energy storage unit is monitored. Under various operating conditions, the energy storage unit is controlled to gradually increase the load until the real-time temperature rise rate reaches the preset rate and is maintained for a preset duration; A redundant duration is set before the start of the preset duration, and the superposition of the redundant duration and the preset duration is used as the acquisition window; Collect the test voiceprint signal at the specified location within the acquisition window under the corresponding operating conditions; Based on the test voiceprint signal, the corresponding target voiceprint features are obtained; the target voiceprint features include target frequency shift and target amplitude variation.

3. The power regulation method based on multi-source energy storage according to claim 2, characterized in that, The acquisition of the test voiceprint signal at the specified location under the corresponding operating condition within the acquisition window includes: The signal frequency data and signal amplitude data of the vibration signal in the acquisition window are collected at the specified location under the corresponding working conditions. The step of obtaining the corresponding target voiceprint feature based on the test voiceprint signal includes: The target frequency shift is obtained by removing the maximum and minimum frequency shifts from the signal frequency data and calculating the average frequency shift. The target amplitude change is obtained by removing the maximum and minimum amplitude changes from the signal amplitude data and calculating the average amplitude change.

4. The power regulation method based on multi-source energy storage according to claim 2, characterized in that, The step of reducing the output of the abnormal energy storage unit to a preset allocated power and allocating the preset allocated power to other energy storage units that have not triggered an abnormality flag includes: Real-time frequency shift and real-time amplitude change are obtained based on the real-time acoustic signature signal; If the real-time frequency shift is greater than or equal to the target frequency shift, and / or the real-time amplitude change is greater than or equal to the target amplitude change, then the energy storage unit corresponding to the real-time acoustic signature signal is marked as the abnormal energy storage unit.

5. The power regulation method based on multi-source energy storage according to claim 1, characterized in that, The step of reducing the output of the abnormal energy storage unit to a preset allocated power and allocating the preset allocated power to other energy storage units that have not triggered an abnormality flag includes: Set the safety load corresponding to each of the energy storage units; If the current load of the energy storage unit is less than the safe load, then a redundant load is obtained based on the current load and the safe load; Other energy storage units with redundant loads, excluding the abnormal energy storage unit, are marked as allocable units, and the redundant load ratio among multiple allocable units is calculated. The preset power allocation is distributed to the allocable units according to the redundant load ratio.

6. The power regulation method based on multi-source energy storage according to claim 5, characterized in that, Also includes: If the current load of the energy storage unit exceeds the safe load and the abnormal flag is not triggered, then the current load is reduced to less than or equal to the safe load.

7. The power regulation method based on multi-source energy storage according to claim 1, characterized in that, Also includes: If all of the energy storage units trigger the anomaly flag, the output power of each energy storage unit is gradually and synchronously reduced until at least one of the energy storage units cancels the anomaly flag. The output of the abnormal energy storage unit is reduced to a preset allocated power, and the preset allocated power is distributed to other energy storage units that have not triggered the abnormal flag.

8. The power regulation method based on multi-source energy storage according to claim 1, characterized in that, A fan is installed between adjacent energy storage units; the method further includes: If at least one of the energy storage units is marked as the abnormal energy storage unit, the heat dissipation power of the adjacent energy storage units of the abnormal energy storage unit is increased. Increase the air supply power from the fan adjacent to the abnormal energy storage unit to the energy storage unit.

9. The power regulation method based on multi-source energy storage according to claim 1, characterized in that, The types of energy storage units include: flow batteries, lithium batteries, and supercapacitors; The types of operating conditions include: charge / discharge rate, SOC range, and ambient temperature.

10. A power regulation system based on multi-source energy storage, characterized in that, include: The voiceprint testing module is configured to: during the debugging and testing phase, collect test voiceprint signals from designated locations of various energy storage units under different operating conditions; When the heating rate at the designated location of each type of energy storage unit is higher than a preset rate, the characteristic of the corresponding test voiceprint signal is marked as the target voiceprint characteristic. The real-time detection module is configured to: during the power supply operation phase, collect real-time acoustic fingerprint signals of various energy storage units at the designated locations of the energy storage units under different operating conditions; The judgment module is communicatively connected to the voiceprint testing module and the real-time detection module respectively. The judgment module is configured to: if the features of the real-time voiceprint signal of the energy storage unit under the current operating condition match the corresponding target voiceprint features, then trigger an abnormal marker and mark it as an abnormal energy storage unit. The power optimization module is communicatively connected to the judgment module. The power optimization module is configured to reduce the output of the abnormal energy storage unit by a preset allocation power and allocate the preset allocation power to other energy storage units that have not triggered the abnormal flag.

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