Method and device for detecting energy storage system and energy storage system

Abstract

The invention discloses an energy storage system detection method and device and an energy storage system, and belongs to the technical field of energy storage systems. According to the detection method of the energy storage system, the energy storage system comprises a plurality of battery packs, and each battery pack comprises at least one single battery; the method comprises the following steps: acquiring smoke information corresponding to each battery pack in the energy storage system, the voltage of each battery monomer in each battery pack and the temperature of each battery pack; performing weighting processing on the smoke information corresponding to each battery pack, the voltage of each battery monomer in each battery pack and the temperature of each battery pack to obtain a thermal runaway score; and when the thermal runaway score corresponding to at least one battery pack in the plurality of battery packs exceeds a target score threshold, determining that the energy storage system has a thermal runaway risk. According to the detection method of the energy storage system provided by the embodiment of the invention, the energy storage system is comprehensively evaluated through a plurality of parameters, the detection accuracy is improved, and missed judgment and misjudgment are reduced.

Description

Technical Field

[0001] The present application belongs to the technical field of energy storage systems, and in particular, relates to a detection method, device and energy storage system for an energy storage system. Background Art

[0002] During the charging and discharging process, the energy storage system may cause thermal runaway due to overcharging, overdischarging, short circuit, and external high temperature, which may affect the performance and service life of the energy storage system. In the related technology, the method of detecting the thermal runaway phenomenon of the energy storage system has the problems of missed judgment and misjudgment, which cannot fully evaluate the thermal runaway risk of the energy storage system and has low detection accuracy. Summary of the invention

[0003] The present application aims to solve at least one of the technical problems existing in the related art. To this end, the present application proposes a detection method, device and energy storage system for an energy storage system, which comprehensively evaluates the energy storage system through multiple parameters, improves the accuracy of detection, and reduces missed judgments and misjudgments.

[0004] In a first aspect, the present application provides a method for detecting an energy storage system, wherein the energy storage system includes a plurality of battery packs, each of which includes at least one battery cell; the method includes:

[0005] Acquire smoke information corresponding to each battery pack in the energy storage system, the voltage of each battery cell in each battery pack, and the temperature of each battery pack;

[0006] Performing weighted processing on the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack to obtain a thermal runaway score;

[0007] When the thermal runaway score corresponding to at least one battery pack among the multiple battery packs exceeds the target score threshold, it is determined that the energy storage system has a thermal runaway risk.

[0008] According to the detection method of the energy storage system of the present application, by obtaining the smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack and the temperature of each battery pack, the smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack and the temperature of each battery pack are weighted to obtain multiple thermal runaway scores, and the multiple thermal runaway scores are compared with the target score threshold respectively to jointly determine whether the energy storage system has a thermal runaway risk. The judgment logic is simple, and the energy storage system is comprehensively evaluated through multiple parameters, thereby improving the accuracy of detection and reducing missed judgments and misjudgments.

[0009] According to the detection method of the energy storage system of the present application, the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack are weighted to obtain a thermal runaway score, including:

[0010] A first weight is set for smoke information corresponding to a target battery pack among the multiple battery packs, a second weight is set for a voltage of a target battery cell in the target battery pack, and a third weight is set for the temperature of the target battery pack; the first weight is greater than the second weight, and the second weight is greater than the third weight;

[0011] A first sub-score is obtained based on the first weight and the smoke information corresponding to the target battery pack; a second sub-score is obtained based on the second weight and the voltage of the target battery cell in the target battery pack; and a third sub-score is obtained based on the third weight and the temperature of the target battery pack;

[0012] The first sub-score, the second sub-score, and the third sub-score are added to obtain the thermal runaway score.

[0013] According to the detection method of the energy storage system of the present application, the step of obtaining the smoke information corresponding to each battery pack in the energy storage system, the voltage of each battery cell in each battery pack, and the temperature of each battery pack includes:

[0014] The smoke information of each battery pack in the same target time period, the lowest voltage of each battery cell in the same battery pack in the target time period, and the highest temperature of each battery pack in the target time period are respectively obtained.

[0015] According to the detection method of the energy storage system of the present application, the method further includes:

[0016] When the thermal runaway scores corresponding to the multiple battery packs do not exceed the target score threshold, it is determined that there is no thermal runaway risk for the energy storage system.

[0017] According to the detection method of the energy storage system of the present application, after determining that the energy storage system has a risk of thermal runaway, the method further includes:

[0018] The cooling systems of the battery packs with thermal runaway risks and the battery packs within the target range of the battery packs with thermal runaway risks are controlled to be turned on.

[0019] According to the detection method of the energy storage system of the present application, the cooling system includes: at least one of a fan, a liquid cooling system and an aerogel fire extinguishing system.

[0020] According to the detection method of the energy storage system of the present application, after acquiring the smoke information corresponding to each battery pack in the energy storage system, the voltage of each battery cell in each battery pack, and the temperature of each battery pack, the method further includes:

[0021] When at least two of the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack exceed target thresholds, it is determined that the energy storage system has a thermal runaway risk.

[0022] In a second aspect, the present application provides a detection device for an energy storage system, wherein the energy storage system includes a plurality of battery packs, each of which includes at least one battery cell; the device includes:

[0023] A first processing module is used to obtain smoke information corresponding to each battery pack in the energy storage system, a voltage of each battery cell in each battery pack, and a temperature of each battery pack;

[0024] A second processing module is used to perform weighted processing on the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack to obtain a thermal runaway score;

[0025] The third processing module is configured to determine that the energy storage system has a thermal runaway risk when a thermal runaway score corresponding to at least one battery pack among the multiple battery packs exceeds a target score threshold.

[0026] According to the detection device of the energy storage system of the present application, by acquiring smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack, and the temperature of each battery pack, the smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack, and the temperature of each battery pack are weighted to obtain multiple thermal runaway scores, and the multiple thermal runaway scores are respectively compared with the target score threshold to jointly determine whether the energy storage system has a thermal runaway risk. The judgment logic is simple, and the energy storage system is comprehensively evaluated through multiple parameters, thereby improving the accuracy of detection and reducing missed judgments and misjudgments.

[0027] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for detecting an energy storage system as described in the first aspect above is implemented.

[0028] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the energy storage system detection method as described in the first aspect above.

[0029] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the energy storage system detection method as described in the first aspect above.

[0030] The above one or more technical solutions in the embodiments of the present application have at least one of the following technical effects:

[0031] By obtaining the smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack and the temperature of each battery pack, the smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack and the temperature of each battery pack are weighted to obtain multiple thermal runaway scores, and the multiple thermal runaway scores are compared with the target score threshold respectively to jointly determine whether the energy storage system has a thermal runaway risk. The judgment logic is simple, and the energy storage system is comprehensively evaluated through multiple parameters, thereby improving the accuracy of detection and reducing missed judgments and misjudgments.

[0032] Furthermore, by obtaining the smoke information corresponding to each battery pack in the same time period, the lowest voltage in each battery cell in the battery pack, and the temperature of the battery pack, the maximum value of each information in the target time period is obtained, and data representing the most likely thermal runaway of each battery pack in the target time period is obtained, thereby improving the representativeness of the obtained data and making subsequent detection results more predictable.

[0033] Furthermore, by setting a first weight with the largest value for the smoke information corresponding to the battery pack, setting a second weight at an intermediate value for the temperature of the battery pack, and setting a third weight with the smallest value for the voltage of the battery cell, the influence of various types of data on the thermal runaway is clarified, thereby improving the representativeness and accuracy of the calculated thermal runaway score.

[0034] Furthermore, by controlling the cooling system of the battery pack with thermal runaway risk and the battery pack within the target range of the battery pack with thermal runaway risk, the temperature of the battery cells of the battery pack with thermal runaway risk can be quickly reduced, the probability of thermal runaway spreading can be reduced, the speed of thermal runaway spreading can be mitigated, and the safety of the energy storage system can be ensured.

[0035] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0037] Figure 1 It is one of the flow charts of the detection method of the energy storage system provided in the embodiment of the present application;

[0038] Figure 2It is one of the principle schematic diagrams of the detection method of the energy storage system provided in the embodiment of the present application;

[0039] Figure 3 This is the second principle schematic diagram of the detection method of the energy storage system provided in the embodiment of the present application;

[0040] Figure 4 This is the third principle schematic diagram of the detection method of the energy storage system provided in the embodiment of the present application;

[0041] Figure 5 This is the second flow chart of the detection method of the energy storage system provided in the embodiment of the present application;

[0042] Figure 6 is a schematic diagram of the structure of a detection device for an energy storage system provided in an embodiment of the present application;

[0043] Figure 7 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0045] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0046] In conjunction with the accompanying drawings, the detection method of the energy storage system, the detection device of the energy storage system, the energy storage system, the electronic device and the readable storage medium provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0047] The energy storage system detection method may be applied to a terminal, and may be specifically executed by hardware or software in the terminal.

[0048] The terminal includes but is not limited to portable communication devices such as mobile phones or tablet computers. It should also be understood that in some embodiments, the terminal may not be a portable communication device, but a desktop computer.

[0049] In the following various embodiments, a terminal including a display and a touch-sensitive surface is described. However, it should be understood that the terminal may include one or more other physical user interface devices such as a physical keyboard, a mouse and a joystick.

[0050] The energy storage system detection method provided in the embodiment of the present application can be executed by the energy storage system, or by a detection device of the energy storage system disposed on the energy storage system, or by a server electrically connected (wired or wirelessly connected) to the energy storage system, or by a user terminal communicatively connected to the energy storage system, including but not limited to a mobile terminal and a non-mobile terminal.

[0051] like Figure 1 As shown, the detection method of the energy storage system includes: step 110, step 120 and step 130.

[0052] The energy storage system includes multiple battery packs.

[0053] Each battery pack includes at least one battery cell.

[0054] Step 110, obtaining smoke information corresponding to each battery pack in the energy storage system, the voltage of each battery cell in each battery pack, and the temperature of each battery pack;

[0055] In this step, the smoke information is information related to whether smoke is generated in the battery pack and the smoke concentration.

[0056] The smoke information may include: information such as whether no smoke is generated in the battery pack or whether smoke is generated in the battery pack and the specific value of the smoke density.

[0057] In the actual implementation process, Figure 2 As shown, a voltage and temperature acquisition unit and a smoke sensor can be integrated on a battery module unit (BMU) in an electrical compartment of a battery pack. The voltage and temperature acquisition unit is used to collect the voltage of each battery cell in the battery pack and the temperature of the battery pack. The smoke sensor is used to collect smoke information corresponding to the battery pack.

[0058] Smoke sensors can be classified into categories such as ionization alarms and photoelectric alarms.

[0059] The smoke sensor can be a single chip or a combination of separate components.

[0060] The separation device may include an infrared light generator, an infrared light receiver, and an analog signal conversion circuit.

[0061] Among them, infrared light can be replaced by ultraviolet light.

[0062] like Figure 3 As shown, in the actual implementation process, the voltage and temperature acquisition unit and the microcontroller unit (MCU) can also be integrated in the battery management unit in the battery pack electrical compartment, and the voltage and temperature acquisition unit can be used to collect the voltage of each battery cell in the battery pack and the temperature of the battery pack. A smoke sensor is set in the battery compartment of the battery pack, and the smoke information corresponding to the battery pack is collected through the smoke sensor. A communication connection between the smoke sensor and the microcontroller unit is established, so that the smoke information corresponding to the battery pack can be sent to the microcontroller unit.

[0063] In some embodiments, the smoke sensor and the microcontroller unit can communicate via protocols such as I2C and SPI.

[0064] like Figure 4 As shown, in the actual implementation process, a battery information acquisition board can also be set in the battery compartment of the battery pack. The battery information acquisition board includes a voltage and temperature acquisition unit and a smoke sensor. The voltage and temperature acquisition unit is used to collect the voltage of each battery cell in the battery pack and the temperature of the battery pack, and the smoke sensor is used to collect the smoke information corresponding to the battery pack.

[0065] In the actual execution process, the battery information acquisition board can be connected to the battery management unit for communication, so that the data collected by the battery information acquisition board is sent to the battery management unit.

[0066] It should be noted that integrating the smoke sensor into the BMU and setting it inside the battery pack can improve the accuracy of the collected smoke information and increase the precision of the collected smoke information to the battery pack level, thereby effectively locating the battery pack that has thermal runaway.

[0067] Step 120: weighting the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack to obtain a thermal runaway score;

[0068] In this step, the thermal runaway score is determined by comprehensively considering the smoke information corresponding to the battery pack, the voltage of the battery cell, and the influence of the temperature of the battery pack on the occurrence of thermal runaway.

[0069] During the actual execution process, historical data can be collected, that is, the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack at multiple moments when thermal runaway occurred before the current collection moment. Through a machine learning model or an artificial intelligence model, the influence of the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack on the occurrence of thermal runaway is learned, and the weights of the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack are obtained respectively. The learned weights are set one by one to the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack, and the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack are weighted.

[0070] Of course, in the actual implementation process, the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack can be weighted in any other feasible manner, which is not limited in this application.

[0071] After obtaining the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack, the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack may be normalized to alleviate the differences caused by different units or dimensions.

[0072] Corresponding weights are set for the normalized smoke information, the voltage of the battery cell, and the temperature of the battery pack, so as to calculate the thermal runaway score.

[0073] Step 130: When the thermal runaway score corresponding to at least one battery pack among the multiple battery packs exceeds the target score threshold, it is determined that the energy storage system has a thermal runaway risk.

[0074] In this embodiment, the target score threshold is a preset score for determining whether the battery pack has thermal runaway, and the target score threshold can be expressed as A.

[0075] The specific value of the target score threshold can be customized by the user or determined based on actual conditions, and this application does not limit it.

[0076] In the actual implementation process, after obtaining the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack, the data of each battery pack is weighted to obtain the thermal runaway score corresponding to each battery pack, and the thermal runaway score corresponding to each battery pack is compared with the given target score threshold. When one or more of the multiple thermal runaway scores exceed the target score threshold, it is determined that the energy storage system is at risk of thermal runaway.

[0077] During the research and development process, the inventors discovered that in the related art, there are omissions and misjudgments in the way of detecting thermal runaway phenomena of energy storage systems, which cannot comprehensively assess the thermal runaway risks of energy storage systems and has low detection accuracy.

[0078] The present application obtains smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack, and performs thermal runaway judgment by obtaining a variety of information, thereby improving the reliability and comprehensiveness of thermal risk judgment. Moreover, on the basis of using a variety of parameters to perform thermal runaway judgment, the different degrees of influence of the various parameters on the generation of thermal runaway are considered, and the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack are weighted to obtain a thermal runaway score that characterizes the possibility of thermal runaway, quantify the thermal runaway risk, and improve the accuracy of the determined thermal runaway score. Therefore, when it is determined that the thermal runaway score exceeds the target score threshold, it is determined that the energy storage system has a thermal runaway risk, thereby improving the accuracy of thermal runaway detection of the energy storage system.

[0079] According to the detection method of the energy storage system provided in the embodiment of the present application, by obtaining smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack, and the temperature of each battery pack, the smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack, and the temperature of each battery pack are weighted to obtain multiple thermal runaway scores, and the multiple thermal runaway scores are compared with the target score threshold respectively to jointly determine whether the energy storage system has a thermal runaway risk. The judgment logic is simple, and the energy storage system is comprehensively evaluated through multiple parameters, thereby improving the accuracy of detection and reducing missed judgments and misjudgments.

[0080] In some embodiments, step 110 may further include:

[0081] The smoke information of each battery pack in the same target period, the lowest voltage of each battery cell in the same battery pack in the target period, and the highest temperature of each battery pack in the target period are obtained respectively.

[0082] In this step, the target period is a preset period for collecting data.

[0083] The specific value of the target time period can be customized by the user or determined based on actual conditions. For example, the target time period can be 3 minutes or 5 minutes, which is not limited in this application.

[0084] The lowest voltage is the voltage with the smallest voltage value among the battery cells within the target time period.

[0085] Take the target period of 5 minutes as an example. During this period, the voltage of each battery cell is collected. For example, if the collected voltages are 1V, 5V and 7V respectively, the lowest voltage is 1V.

[0086] It should be noted that, within the target time period, the voltage of each battery cell may have multiple values, and the collected voltage of the battery cell is the minimum value of the voltage of the battery cell within the target time period.

[0087] The maximum temperature is the maximum temperature reached by the battery pack during the target period.

[0088] During the actual execution process, the smoke information in the battery pack, the voltage of the battery cells and the temperature in the battery pack can be monitored in real time. With the target period as the time interval, the smoke information corresponding to the battery pack, the lowest voltage reached by the battery cells in the target period, and the highest temperature reached by the battery pack can be obtained from the monitored data.

[0089] According to the detection method of the energy storage system provided in the embodiment of the present application, by acquiring the smoke information corresponding to each battery pack in the same time period, the lowest voltage in each battery cell in the battery pack, and the temperature of the battery pack, the maximum value of each information in the target time period is obtained, and data characterizing the most likely thermal runaway of each battery pack in the target time period is obtained, thereby improving the representativeness of the acquired data and making subsequent thermal runaway detection results more predictable.

[0090] In some embodiments, step 120 may further include:

[0091] A first weight is set for smoke information corresponding to a target battery pack among the multiple battery packs, a second weight is set for the temperature of the target battery pack, and a third weight is set for the voltage of a target battery cell in the target battery pack; the first weight is greater than the second weight, and the second weight is greater than the third weight;

[0092] A first sub-score is obtained based on the first weight and the smoke information corresponding to the target battery pack; a second sub-score is obtained based on the second weight and the temperature of the target battery pack; and a third sub-score is obtained based on the third weight and the voltage of the target battery cell in the target battery pack;

[0093] The first sub-score, the second sub-score, and the third sub-score are summed to obtain a thermal runaway score.

[0094] In this embodiment, the target battery pack is any battery pack among the multiple battery packs.

[0095] The target battery cell is the battery cell with the lowest voltage in the target battery pack.

[0096] The first weight is used to characterize the influence of smoke information on thermal runaway.

[0097] The second weight is used to characterize the influence of the voltage of the battery cell on the generation of thermal runaway.

[0098] The third weight is used to characterize the influence of temperature on thermal runaway.

[0099] It should be noted that when the battery pack develops thermal runaway, a large amount of smoke will be generated. The smoke information has the highest correlation with the thermal runaway judgment. The weight of calculating the thermal runaway score using the smoke information can be the highest, that is, the first weight is the largest compared to the second and third weights.

[0100] The temperature of the battery pack is a variable that depends on the thermal runaway process, and can also indirectly reflect the thermal runaway situation of the battery pack. The correlation between the temperature of the battery pack and thermal runaway is easily affected by BMS acquisition failure or acquisition error. Therefore, the weight ratio of the thermal runaway score calculated by the temperature of the battery pack can be the second highest, that is, the second weight is smaller than the first weight, but larger than the third weight.

[0101] The voltage of a battery cell can be used as an indicator of thermal runaway, but the correlation between the voltage of a battery cell and thermal runaway is weaker than that of the temperature of the battery pack. In addition, the voltage of a battery cell will be affected by the operating conditions of the energy storage system. For example, if the energy storage system suddenly discharges at high power, the voltage of the battery cell will fluctuate greatly. Judging from the voltage, it is easy to cause a false alarm of thermal runaway. Therefore, the weight of calculating the thermal runaway score by the voltage of the battery cell has the smallest proportion, that is, the value of the third weight is smaller than the first weight and the second weight.

[0102] The first sub-score is a score calculated based on the first weight and smoke information.

[0103] The second sub-score is a score calculated based on the second weight and the voltage of the battery cell.

[0104] The third sub-score is a score calculated based on the third weight and the temperature of the battery pack.

[0105] In the actual implementation process, it can be based on the following formula:

[0106]

[0107] Calculate the thermal runaway score of the battery pack, where F(t) is the thermal runaway score; α1 is the first weight; S(t) is the smoke information corresponding to the battery pack during the target period; α2 is the second weight; ΔT max is the maximum temperature of the battery pack during the target period; Δt is the target period; α3 is the third weight; ΔV min It is the lowest voltage of the battery cells in the battery pack.

[0108] According to the detection method of the energy storage system provided in the embodiment of the present application, by setting a first weight with the largest value for the smoke information corresponding to the battery pack, setting a second weight at an intermediate value for the temperature of the battery pack, and setting a third weight with the smallest value for the voltage of the battery cell, the influence of various types of data on the generation of thermal runaway is clarified, thereby improving the representativeness and accuracy of the calculated thermal runaway score.

[0109] In some embodiments, the method may further include:

[0110] When the thermal runaway scores corresponding to multiple battery packs do not exceed the target score threshold, it is determined that there is no thermal runaway risk for the energy storage system.

[0111] In this embodiment, during the actual execution process, after the thermal runaway score is calculated based on the smoke information corresponding to each battery pack, the voltage of the battery cell and the temperature of the battery pack, each thermal runaway score is compared with the target score threshold. When it is determined that all thermal runaway scores do not exceed the target score threshold, it is determined that there is no thermal runaway risk for the energy storage system.

[0112] According to the detection method of the energy storage system provided by the embodiment of the present application, by determining that the thermal runaway scores of all battery packs in the energy storage system do not exceed the target score threshold, it is determined that the energy storage system does not have a thermal runaway risk. On the basis that none of the battery packs has a thermal runaway risk, it is determined that the energy storage system does not have a thermal runaway risk. The judgment logic is simple and easy to operate.

[0113] In some embodiments, after step 130, the method may further include:

[0114] Control the cooling system of battery packs with thermal runaway risk and battery packs within the target range of battery packs with thermal runaway risk to turn on.

[0115] In this embodiment, a battery pack with a risk of thermal runaway is a battery pack with a thermal runaway score exceeding a target score threshold.

[0116] The target range is the preset range.

[0117] The target range may be user-defined or determined based on actual conditions. For example, the target range may be 2 or 4 battery packs adjacent to a battery pack with a risk of thermal runaway, which is not limited in this application.

[0118] The cooling system is a system that reduces the temperature of the battery pack.

[0119] In actual implementation, whether to start the cooling system can be determined based on the following formula.

[0120]

[0121] Where F(t) is the thermal runaway fraction; A is the target fraction threshold; and Y is the cooling system control function.

[0122] When the thermal runaway score of the battery pack exceeds the target score threshold, Y is set to 1 and the cooling system is controlled to turn on.

[0123] When the thermal runaway score of the battery pack does not exceed the target score threshold, it is further determined whether the battery pack is within the target range of battery packs with thermal runaway risk. If the judgment result is yes, Y is also set to 1 to control the battery packs within the target range to turn on.

[0124] In the actual implementation process, when it is determined that the thermal runaway score of a battery pack in the energy storage system exceeds the target score threshold, the battery pack is determined to be a battery pack with a risk of thermal runaway. At this time, the cooling system of the battery pack with a risk of thermal runaway and the cooling systems of the two battery packs around the battery pack with a risk of thermal runaway can be turned on to quickly reduce the temperature of the battery cells of the battery pack with a risk of thermal runaway.

[0125] It can be understood that, when the energy storage system includes multiple battery packs with thermal runaway risks, the battery packs with thermal runaway risks and the cooling systems within their target ranges can be turned on separately.

[0126] like Figure 2 As shown, in the actual implementation process, the battery pack can be controlled by the battery pack control box to control the opening of the cooling system.

[0127] The battery pack control box includes: a switch and a battery cluster management unit (Battery Clustar Unit, BCU).

[0128] The switch in the battery pack control box is connected to the inverter, the inverter is connected to the photovoltaic module through the maximum power point tracking controller (Maximum Power Point Tracking, MPPT), and the inverter is connected to the AC load and the AC grid at the same time.

[0129] According to the detection method of the energy storage system provided in the embodiment of the present application, by controlling the cooling system of the battery pack with thermal runaway risk and the battery pack within the target range of the battery pack with thermal runaway risk to be turned on, the temperature of the battery cells of the battery pack with thermal runaway risk can be quickly reduced, the probability of thermal runaway spreading can be reduced, the speed of thermal runaway spreading can be alleviated, and the safety of the energy storage system can be ensured.

[0130] In some embodiments, the cooling system includes at least one of a fan, a liquid cooling system, and an aerogel fire extinguishing system.

[0131] In this step, the fan is a device that uses natural wind or a hair dryer to cool down the battery cells of the battery pack.

[0132] The liquid cooling system is a system that removes the heat generated by the battery by flowing a coolant through the internal pipes of the battery.

[0133] The coolant in the liquid cooling system can be water, ethanol, silicone oil, etc.

[0134] The aerogel fire extinguishing system is a system that extinguishes fires using aerogel fire extinguishing agents.

[0135] In the actual implementation process, for battery packs with a risk of thermal runaway, one or more of the fan in the cooling system, the liquid cooling system, and the aerogel fire extinguishing system can be turned on.

[0136] For example, when the thermal runaway score far exceeds the target score threshold, the fans, liquid cooling system, and aerogel fire extinguishing system can all be turned on.

[0137] For another example, when the thermal runaway score only slightly exceeds the target score threshold, a fan or liquid cooling system may be turned on.

[0138] Of course, in the actual implementation process, the on / off status of one or more of the fan, the liquid cooling system, and the aerogel fire extinguishing system can also be controlled in any other feasible manner, and this application is not limited thereto.

[0139] According to the detection method of the energy storage system of the embodiment of the present application, by setting up multiple cooling components in the cooling system, the temperature of the battery pack with the risk of thermal runaway is effectively reduced by turning on the cooling system, thereby improving the cooling rate.

[0140] In some embodiments, after step 110, the method may further include:

[0141] When at least two of the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack exceed the target threshold, it is determined that the energy storage system has a thermal runaway risk.

[0142] In this embodiment, the target threshold is a preset value for determining whether each data has a risk of thermal runaway.

[0143] The target thresholds include: a smoke threshold corresponding to the smoke information, a voltage threshold corresponding to the voltage of the battery cell, and a temperature threshold corresponding to the temperature of the battery pack.

[0144] The smoke threshold is a preset value that determines whether smoke is generated.

[0145] The specific value of the smoke threshold can be user-defined or determined based on actual conditions. For example, the smoke threshold can be 1 or 0; this application does not limit this.

[0146] The voltage threshold is a preset value for determining whether the battery cell voltage is too low.

[0147] The specific value of the voltage threshold can be user-defined or determined based on actual conditions. For example, the voltage threshold can be 2V or 5V, which is not limited in this application.

[0148] The temperature threshold is a preset value for determining whether the battery pack temperature is too high.

[0149] The specific value of the temperature threshold can be user-defined or determined based on actual conditions. For example, the temperature threshold can be 60 degrees Celsius or 70 degrees Celsius, which is not limited in this application.

[0150] In the actual implementation process, when two or three of the smoke information corresponding to the battery pack, the voltage of the battery cell, and the temperature of the battery pack exceed their corresponding thresholds, it is determined that the energy storage system has a thermal runaway risk.

[0151] When the smoke information corresponding to the battery pack shows that the battery pack generates smoke, it is determined that the smoke information exceeds the smoke threshold.

[0152] When it is determined that the smoke information exceeds the smoke threshold, the determination result of the smoke information may be set to 1; when it is determined that the smoke information does not exceed the smoke threshold, the determination result of the smoke information may be set to 0.

[0153] When the voltage value of the battery cell is lower than the voltage threshold and lasts for the first target time period, it is determined that the voltage of the battery cell exceeds the voltage threshold.

[0154] The specific value of the first target duration can be user-defined or determined based on actual conditions. For example, the target duration can be 5 seconds or 10 seconds, which is not limited in this application.

[0155] When it is determined that the voltage of the battery cell exceeds the voltage threshold, the judgment result of the battery cell may be set to 1; when it is determined that the voltage of the battery cell does not exceed the voltage threshold, the judgment result of the battery cell may be set to 0.

[0156] When the temperature of the battery pack exceeds the temperature threshold and lasts for the second target time period, it is determined that the temperature of the battery pack exceeds the temperature threshold.

[0157] The specific value of the second target duration can be user-defined or determined based on actual conditions. For example, the target duration can be 6 seconds or 8 seconds, which is not limited in this application.

[0158] The specific values ​​of the first target duration and the second target duration may be the same or different.

[0159] When it is determined that the temperature of the battery pack exceeds the temperature threshold, the temperature judgment result may be set to 1; when it is determined that the temperature of the battery pack does not exceed the temperature threshold, the temperature judgment result may be set to 0.

[0160] In the actual implementation process, when two or more of the judgment results of the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack are 1, it is determined that the battery pack is at risk of thermal runaway, that is, the energy storage system is at risk of thermal runaway.

[0161] It should be noted that, for each battery pack in the energy storage system, the above method can be used to determine whether the battery pack has a thermal runaway risk in the energy storage system.

[0162] If one or more battery packs in the energy storage system have a risk of thermal runaway, the energy storage system has a risk of thermal runaway.

[0163] If all battery packs in the energy storage system do not have the risk of thermal runaway, then the energy storage system does not have the risk of thermal runaway.

[0164] like Figure 5 As shown, in the actual execution process, the judgment result of the smoke information corresponding to the battery pack, the judgment result of the voltage of the battery cell, and the judgment result of the temperature of the battery pack can be set to 0 respectively.

[0165] Determine whether the smoke information exceeds the smoke threshold. If so, set the judgment result of the smoke information to 1, otherwise, keep the judgment result of the smoke information unchanged; continue to determine whether the voltage of the battery cell is lower than the voltage threshold and continues to be lower than the voltage threshold for the first target time. If so, set the judgment result of the battery cell voltage to 1, otherwise, keep the judgment result of the battery cell voltage unchanged; finally, determine whether the temperature of the battery pack exceeds the temperature threshold and continues for the second target time. If so, set the judgment result of the battery pack temperature to 1, otherwise, keep the judgment result of the battery pack temperature unchanged.

[0166] Finally, determine the number of judgment results of 1. When the number of judgment results of 1 is greater than or equal to 2, disconnect the main circuit of the battery pack, report the risk of thermal runaway in the energy storage system, and report the location of the battery pack with the risk of thermal runaway to issue an alarm.

[0167] In addition, the cooling system of the battery pack at risk of thermal runaway can be turned on to reduce the temperature of the battery pack at risk of thermal runaway and alleviate the spread of thermal runaway.

[0168] According to the detection method of the energy storage system provided in the embodiment of the present application, by comparing the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack with the target threshold, the judgment results of the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack are respectively determined. When two or more of the smoke information corresponding to the battery pack, the voltage of the battery cell and the temperature of the battery pack exceed the target threshold, it is determined that the energy storage system has a thermal runaway risk. The judgment method is simple and easy to operate, and the influence of multiple parameters on the generation of thermal runaway is considered, thereby improving the comprehensiveness and accuracy of the detection results.

[0169] The energy storage system detection method provided in the embodiment of the present application can be executed by a detection device of the energy storage system. In the embodiment of the present application, the detection device of the energy storage system performing the energy storage system detection method is taken as an example to illustrate the detection device of the energy storage system provided in the embodiment of the present application.

[0170] An embodiment of the present application also provides a detection device for an energy storage system.

[0171] The energy storage system includes multiple battery packs.

[0172] Each battery pack includes at least one battery cell.

[0173] like Figure 6 As shown, the detection device of the energy storage system includes: a first processing module 610 , a second processing module 620 and a third processing module 630 .

[0174] The first processing module 610 is used to obtain smoke information corresponding to each battery pack in the energy storage system, the voltage of each battery cell in each battery pack, and the temperature of each battery pack;

[0175] The second processing module 620 is used to perform weighted processing on the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack to obtain a thermal runaway score;

[0176] The third processing module 630 is configured to determine that the energy storage system has a thermal runaway risk when the thermal runaway score corresponding to at least one battery pack among the multiple battery packs exceeds a target score threshold.

[0177] According to the detection device of the energy storage system provided in the embodiment of the present application, by acquiring smoke information corresponding to each battery pack, the voltage of the battery cell in each battery pack, and the temperature of each battery pack, the smoke information corresponding to each battery pack, the voltage of the battery cell in each battery pack, and the temperature of each battery pack are weighted to obtain multiple thermal runaway scores, and the multiple thermal runaway scores are respectively compared with the target score threshold to jointly determine whether the energy storage system has a thermal runaway risk. The judgment logic is simple, and the energy storage system is comprehensively evaluated through multiple parameters, thereby improving the accuracy of detection and reducing missed judgments and misjudgments.

[0178] In some embodiments, the second processing module 620 may also be used to:

[0179] A first weight is set for smoke information corresponding to a target battery pack among the multiple battery packs, a second weight is set for the voltage of a target battery cell in the target battery pack, and a third weight is set for the temperature of the target battery pack; the first weight is greater than the second weight, and the second weight is greater than the third weight;

[0180] A first sub-score is obtained based on the first weight and the smoke information corresponding to the target battery pack; a second sub-score is obtained based on the second weight and the voltage of the target battery cell in the target battery pack; and a third sub-score is obtained based on the third weight and the temperature of the target battery pack;

[0181] The first sub-score, the second sub-score, and the third sub-score are summed to obtain a thermal runaway score.

[0182] In some embodiments, the first processing module 610 may also be used to:

[0183] The smoke information of each battery pack in the same target period, the lowest voltage of each battery cell in the same battery pack in the target period, and the highest temperature of each battery pack in the target period are obtained respectively.

[0184] In some embodiments, the apparatus may further include a fourth processing module, configured to:

[0185] When the thermal runaway scores corresponding to multiple battery packs do not exceed the target score threshold, it is determined that there is no thermal runaway risk for the energy storage system.

[0186] In some embodiments, the apparatus may further include a fifth processing module, configured to:

[0187] Control the cooling system of battery packs with thermal runaway risk and battery packs within the target range of battery packs with thermal runaway risk to turn on.

[0188] In some embodiments, the apparatus may further include a sixth processing module, configured to:

[0189] When at least two of the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack exceed the target threshold, it is determined that the energy storage system has a thermal runaway risk.

[0190] The detection device of the energy storage system in the embodiment of the present application can be a detection system of the energy storage system, or can be an electronic device connected to the energy storage system for communication, or can be a component in the energy storage system or the electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or can be other devices other than the terminal. Exemplarily, the electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted electronic device, a mobile Internet device (Mobile Internet Device, MID), an augmented reality (augmented reality, AR) / virtual reality (virtual reality, VR) device, a robot, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc., and can also be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0191] The detection device of the energy storage system in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an IOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0192] The detection device of the energy storage system provided in the embodiment of the present application can achieve Figures 1 to 5 To avoid repetition, the various processes implemented by the method embodiment are not described here.

[0193] In some embodiments, Figure 7 As shown, an embodiment of the present application further provides an electronic device 700, including a processor 701, a memory 702, and a computer program stored in the memory 702 and executable on the processor 701. When the program is executed by the processor 701, each process of the above-mentioned energy storage system detection method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0194] The embodiment of the present application also provides an energy storage system.

[0195] In some embodiments, the energy storage system includes: a plurality of battery packs.

[0196] In this embodiment, the battery pack includes at least one battery cell.

[0197] In some embodiments, the battery pack may further include: a smoke sensor, a temperature sensor, and a voltage measurer.

[0198] In this embodiment, the smoke sensor is used to collect smoke information of the battery pack.

[0199] The temperature sensor is used to collect the temperature of the battery pack.

[0200] The voltage meter is used to collect the voltage of each battery cell in the battery pack.

[0201] According to the energy storage system provided by the embodiment of the present application, by arranging a smoke sensor, a temperature sensor and a voltage meter in the battery pack, it is possible to accurately collect smoke information corresponding to the battery pack, the voltage of each battery cell in the battery pack and the temperature in the battery pack, and obtain accurate thermal runaway detection data.

[0202] The energy storage system is detected based on the detection method of the energy storage system described in any of the above embodiments.

[0203] According to the energy storage system provided in the embodiment of the present application, by acquiring smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack, and the temperature of each battery pack, weighted processing is performed on the smoke information corresponding to each battery pack, the voltage of the battery cells in each battery pack, and the temperature of each battery pack to obtain multiple thermal runaway scores, and the multiple thermal runaway scores are respectively compared with the target score threshold to jointly determine whether the energy storage system has a thermal runaway risk. The judgment logic is simple, and the energy storage system is comprehensively evaluated through multiple parameters, thereby improving the accuracy of detection and reducing missed judgments and misjudgments.

[0204] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0205] The embodiment of the present application also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, each process of the above-mentioned energy storage system detection method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0206] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.

[0207] An embodiment of the present application also provides a computer program product, including a computer program, which implements the above-mentioned energy storage system detection method when executed by a processor.

[0208] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.

[0209] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned energy storage system detection method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0210] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0211] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0212] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the relevant technology, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0213] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0214] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0215] Although the embodiments of the present application have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present application, and that the scope of the present application is defined by the claims and their equivalents.

Claims

1. A detection method for an energy storage system, characterized in that: The energy storage system includes a plurality of battery packs, each of which includes at least one battery cell; the method includes: Acquire smoke information corresponding to each battery pack in the energy storage system, the voltage of each battery cell in each battery pack, and the temperature of each battery pack; Performing weighted processing on the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack to obtain a thermal runaway score; When the thermal runaway score corresponding to at least one battery pack among the multiple battery packs exceeds the target score threshold, it is determined that the energy storage system has a thermal runaway risk.

2. The detection method of the energy storage system according to claim 1, characterized in that: The weighted processing of the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack to obtain a thermal runaway score includes: A first weight is set for smoke information corresponding to a target battery pack among the multiple battery packs, a second weight is set for a voltage of a target battery cell in the target battery pack, and a third weight is set for the temperature of the target battery pack; the first weight is greater than the second weight, and the second weight is greater than the third weight; Based on the first weight and the smoke information corresponding to the target battery pack, a first sub-score is obtained; based on the second weight and the voltage of the target battery cell in the target battery pack, a second sub-score is obtained; based on the third weight and the temperature of the target battery pack, a third sub-score is obtained; The first sub-score, the second sub-score, and the third sub-score are added to obtain the thermal runaway score.

3. The detection method of the energy storage system according to claim 1, characterized in that: The obtaining of smoke information corresponding to each battery pack in the energy storage system, the voltage of each battery cell in each battery pack, and the temperature of each battery pack includes: The smoke information of each battery pack in the same target time period, the lowest voltage of each battery cell in the same battery pack in the target time period, and the highest temperature of each battery pack in the target time period are respectively obtained.

4. The detection method of the energy storage system according to any one of claims 1 to 3, characterized in that: The method further comprises: When the thermal runaway scores corresponding to the multiple battery packs do not exceed the target score threshold, it is determined that there is no thermal runaway risk for the energy storage system.

5. The detection method of the energy storage system according to any one of claims 1 to 3, characterized in that: After determining that the energy storage system has a risk of thermal runaway, the method further includes: The cooling systems of the battery packs with thermal runaway risks and the battery packs within the target range of the battery packs with thermal runaway risks are controlled to be turned on.

6. The detection method of the energy storage system according to claim 5, characterized in that: The cooling system includes at least one of a fan, a liquid cooling system and an aerogel fire extinguishing system.

7. The detection method of the energy storage system according to any one of claims 1 to 3, characterized in that: After acquiring the smoke information corresponding to each battery pack in the energy storage system, the voltage of each battery cell in each battery pack, and the temperature of each battery pack, the method further includes: When at least two of the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack exceed target thresholds, it is determined that the energy storage system has a thermal runaway risk.

8. A detection device for an energy storage system, characterized in that: The energy storage system includes a plurality of battery packs, each of which includes at least one battery cell; the device includes: A first processing module is used to obtain smoke information corresponding to each battery pack in the energy storage system, a voltage of each battery cell in each battery pack, and a temperature of each battery pack; A second processing module is used to perform weighted processing on the smoke information corresponding to each battery pack, the voltage of each battery cell in each battery pack, and the temperature of each battery pack to obtain a thermal runaway score; The third processing module is configured to determine that the energy storage system has a thermal runaway risk when a thermal runaway score corresponding to at least one battery pack among the multiple battery packs exceeds a target score threshold.

9. An energy storage system, characterized in that: include: A plurality of battery packs, each of the battery packs comprising at least one battery cell; The energy storage system is detected based on the detection method for the energy storage system according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the detection method for the energy storage system as described in any one of claims 1 to 7 is implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the detection method for the energy storage system according to any one of claims 1 to 7 is implemented.

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