Battery pack thermal runaway prevention method and device, storage medium and computer equipment

Abstract

According to the battery pack thermal runaway prevention method and device, the storage medium and the computer equipment, when thermal runaway of the battery pack is prevented, the thermal runaway temperature rise rate curve graph and the normal temperature rise rate curve graph corresponding to the specification data of the battery pack are obtained to serve as the standard judgment basis for predicting the thermal runaway risk of the battery pack. For example, in the thermal runaway prevention process, the actual temperature rise rate of the battery pack is obtained through real-time monitoring, the difference value between the actual temperature rise rate and the corresponding thermal runaway temperature rise rate in a thermal runaway temperature rise rate curve graph is determined, and when the difference value is smaller than a safety threshold value, the risk trend type is determined according to the actual temperature rise rate; and performing risk assessment on the battery pack based on the normal temperature rise rate curve graph by adopting the corresponding risk assessment strategy, and performing risk management and control on the battery pack with the thermal runaway risk according to the assessment result, so that the battery pack with the thermal runaway risk can be intervened in advance; and the reaction time and the heat spreading problem of thermal runaway of the battery pack are effectively controlled.

Description

Technical Field

[0001] The present application relates to the technical field of batteries, and particularly to a method, device, storage medium, and computer device for preventing thermal runaway of a battery pack. Background Art

[0002] With the continuous development of battery technology, especially the widespread application of lithium batteries in fields such as electric vehicles and portable devices, thermal runaway of battery packs has become a safety issue that cannot be ignored. The occurrence of thermal runaway is usually related to factors such as internal short circuit, overcharge, over-discharge, external high temperature, or mechanical damage of the battery. It not only causes rapid degradation of the battery pack performance but may also trigger serious fire or explosion accidents, posing a threat to the safety of surrounding equipment and personnel.

[0003] Currently, the main countermeasures for thermal runaway of battery packs mainly focus on intervening after thermal runaway occurs, which can only mitigate its impact to a certain extent. Therefore, the existing technology has certain limitations in the emergency response to thermal runaway of battery packs, resulting in the failure to effectively control the reaction time and thermal propagation of thermal runaway of battery packs in a timely manner. Summary of the Invention

[0004] The purpose of the present application is to at least solve one of the above technical defects, especially the technical defect that the existing technology has certain limitations in the emergency response to thermal runaway of battery packs, resulting in the failure to effectively control the reaction time and thermal propagation of thermal runaway of battery packs in a timely manner.

[0005] The present application provides a method for preventing thermal runaway of a battery pack, and the method includes:

[0006] Obtain the specification data of the target battery pack and determine the corresponding standard comparison data; the standard comparison data includes the thermal runaway temperature rise rate curve graph and the normal temperature rise rate curve graph of the cells of the target battery pack;

[0007] Monitor the temperature of the target battery pack to obtain a monitoring result, and determine the actual temperature rise rate of the cells in the target battery pack in real time according to the monitoring result;

[0008] Determine the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate corresponding in the thermal runaway temperature rise rate curve graph, and when the rate difference is less than the rate safety threshold, determine the risk trend type of the target battery pack according to the actual temperature rise rate;

[0009] Adopt a risk assessment strategy corresponding to the risk trend type, and perform a risk assessment on the monitoring result based on the normal temperature rise rate curve graph to obtain an assessment result;

[0010] When the evaluation result indicates a risk of thermal runaway, mark the target battery pack as a risky battery pack and implement risk control on the risky battery pack.

[0011] Optionally, the step of determining the actual temperature rise rate of the battery cells in the target battery pack in real time according to the monitoring result includes:

[0012] Read the current temperature of the target battery pack at the current moment, and determine the starting temperature corresponding to the current temperature in the monitoring result according to a preset time period;

[0013] Determine the temperature difference between the current temperature and the starting temperature, and calculate the ratio of the preset time period to the temperature difference as the actual temperature rise rate of the battery cells in the target battery pack.

[0014] Optionally, the step of determining the rate difference between the actual temperature rise rate and the corresponding thermal runaway temperature rise rate in the thermal runaway temperature rise rate curve includes:

[0015] Determine the starting temperature and the current temperature corresponding to the actual temperature rise rate, and determine the change duration between the starting temperature and the current temperature from the thermal runaway temperature rise rate curve;

[0016] Calculate the thermal runaway temperature rise rate of the battery cells in the target battery pack based on the starting temperature, the current temperature, and the change duration, and calculate the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate.

[0017] Optionally, the risk trend types include slow thermal runaway and rapid thermal runaway;

[0018] The step of determining the risk trend type of the target battery pack according to the actual temperature rise rate includes:

[0019] Judge whether the actual temperature rise rate is less than a preset runaway rate;

[0020] If so, confirm that the risk trend type of the target battery pack is slow thermal runaway;

[0021] If not, confirm that the risk trend type of the target battery pack is rapid thermal runaway.

[0022] Optionally, multiple normal temperature rise rate curves with different charge and discharge rates are plotted in the normal temperature rise rate curve graph;

[0023] The step of performing risk assessment on the monitoring result based on the normal temperature rise rate curve graph by using a risk assessment strategy corresponding to the risk trend type to obtain an evaluation result includes:

[0024] When the risk trend type is slow thermal runaway, determine the charge-discharge rate of the target battery pack in the actual usage scenario, and determine the normal temperature rise rate curve corresponding to the charge-discharge rate in the normal temperature rise rate curve graph;

[0025] Determine the standard temperature rise degree corresponding to the target battery pack within the target time period from the normal temperature rise rate curve, and determine the actual temperature rise degree corresponding to the target battery pack within the target time period from the monitoring result;

[0026] Judge whether the actual temperature rise degree exceeds the standard temperature rise degree;

[0027] If so, confirm that the evaluation result of the target battery pack is that there is no thermal runaway risk;

[0028] If not, confirm that the evaluation result of the target battery pack is that there is a thermal runaway risk.

[0029] Optionally, the step of adopting a risk assessment strategy corresponding to the risk trend type, performing risk assessment on the monitoring result based on the normal temperature rise rate curve graph, and obtaining an evaluation result further includes:

[0030] When the risk trend type is rapid thermal runaway, determine the starting temperature of the battery cells in the target battery pack and the current temperature at the current moment;

[0031] Determine the actual time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the monitoring result, and determine the standard time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the normal temperature rise rate curve graph;

[0032] Calculate the time difference between the actual time taken and the standard time taken, and judge whether the time difference is less than the time safety threshold;

[0033] If so, confirm that the evaluation result of the target battery pack is that there is no thermal runaway risk;

[0034] If not, confirm that the evaluation result of the target battery pack is that there is a thermal runaway risk.

[0035] Optionally, the step of marking the target battery pack as a risk battery pack and performing risk control on the risk battery pack includes:

[0036] Determine the battery safety temperature of the target battery pack according to the preset thermal runaway temperature change curve graph, and monitor the real-time temperature of the battery cells in the target battery pack in real time;

[0037] When it is monitored that the real-time temperature exceeds the battery safety temperature, power-off prevention processing is performed on the target battery pack, and a thermal runaway alarm is initiated.

[0038] This application also provides a device for preventing thermal runaway of a battery pack, including:

[0039] A data acquisition module, configured to acquire the specification data of the target battery pack and determine the standard comparison data corresponding to the specification data; the standard comparison data includes the thermal runaway temperature rise rate curve graph and the normal temperature rise rate curve graph of the battery cells in the target battery pack;

[0040] A temperature monitoring module, configured to monitor the temperature of the target battery pack and determine the actual temperature rise rate of the battery cells in the target battery pack in real time according to the monitoring result;

[0041] A trend prediction module, configured to determine the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate corresponding in the thermal runaway temperature rise rate curve graph, and when the rate difference is less than the rate safety threshold, determine the risk trend type of the target battery pack according to the actual temperature rise rate;

[0042] A risk assessment module, configured to adopt a risk assessment strategy corresponding to the risk trend type and perform a risk assessment on the monitoring result based on the normal temperature rise rate curve graph to obtain an assessment result;

[0043] A risk control module, configured to mark the target battery pack as a risk battery pack when the assessment result indicates a thermal runaway risk, and perform risk control on the risk battery pack.

[0044] This application also provides a storage medium, in which computer-readable instructions are stored, and when the computer-readable instructions are executed by one or more processors, the one or more processors are caused to execute the steps of the method for preventing thermal runaway of a battery pack as described in any one of the above embodiments.

[0045] This application also provides a computer device, including: one or more processors and a memory;

[0046] The memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the method for preventing thermal runaway of a battery pack as described in any one of the above embodiments are executed.

[0047] It can be seen from the above technical solutions that the embodiments of this application have the following advantages:

[0048] The method, device, storage medium, and computer equipment for preventing thermal runaway of a battery pack provided in this application can obtain the specification data of the target battery pack when preventing thermal runaway, so as to determine the standard comparison data corresponding to the specification data. Here, the standard comparison data is obtained through design experiments with battery packs corresponding to the respective specification data in advance, and includes a thermal runaway temperature rise rate curve graph and a normal temperature rise rate curve graph, which is the standard judgment basis for predicting the thermal runaway risk of the battery pack. For example, during the process of preventing thermal runaway, the temperature of the target battery pack can be monitored to obtain the monitoring result, and the actual temperature rise rate of the battery cells in the target battery pack can be determined in real time according to the monitoring result. Then, the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate corresponding in the thermal runaway temperature rise rate curve graph can be determined, so as to judge whether the battery pack has a thermal runaway risk by judging whether the monitoring data of the battery pack is abnormal. When the monitoring data is abnormal, that is, the rate difference is less than the rate safety threshold, the risk trend type of the target battery pack can be determined according to the actual temperature rise rate. Furthermore, a risk assessment strategy corresponding to the risk trend type can be adopted to perform a risk assessment on the monitoring result based on the normal temperature rise rate curve graph to obtain the assessment result. Here, the accuracy of the assessment result can be improved through the risk assessment strategies of different risk trend types; finally, the battery packs with an assessment result of having a thermal runaway risk can be marked as risk battery packs, and risk control can be performed on these risk battery packs. Through this method, this application can predict in advance the battery packs with a thermal runaway risk and intervene in them, thereby effectively controlling the reaction time of the thermal runaway of the battery pack and the problem of thermal spread. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of this application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0050] Figure 1 It is a schematic flowchart of a method for preventing thermal runaway of a battery pack provided in an embodiment of this application;

[0051] Figure 2 It is a display diagram of a thermal runaway temperature rise rate curve graph provided in an embodiment of this application;

[0052] Figure 3 It is a display diagram of a normal temperature rise rate curve graph of discharge at a certain rate provided in an embodiment of this application;

[0053] Figure 4 It is a display diagram of a normal temperature rise rate curve graph of charge at a certain rate provided in an embodiment of this application;

[0054] Figure 5 A display diagram of a thermal runaway temperature change curve provided by an embodiment of the present application;

[0055] Figure 6 A schematic structural diagram of a battery pack thermal runaway prevention device provided by an embodiment of the present application;

[0056] Figure 7 A schematic internal structure diagram of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0057] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0058] Currently, the main countermeasures for battery pack thermal runaway mainly focus on intervention after thermal runaway occurs, which can only mitigate the impact to a certain extent. Therefore, the prior art has certain limitations in the emergency response to battery pack thermal runaway, and the reaction time and thermal spread problem of battery pack thermal runaway have not been effectively controlled in a timely manner.

[0059] Based on this, the present application proposes the following technical solutions. For details, please refer to the following text:

[0060] In one embodiment, as Figure 1 shown, Figure 1 A flowchart of a battery pack thermal runaway prevention method provided by an embodiment of the present application; the present application provides a battery pack thermal runaway prevention method, which specifically includes the following:

[0061] S110: Obtain the specification data of the target battery pack and determine the standard comparison data corresponding to the specification data; the standard comparison data includes the thermal runaway temperature rise rate curve graph and the normal temperature rise rate curve graph of the battery cells in the target battery pack.

[0062] In this step, when preventing thermal runaway of the battery pack, the computer device can first obtain the specification data of the target battery pack, and then can determine the standard comparison data corresponding to the specification data. The standard comparison data includes the thermal runaway temperature rise rate curve graph and the normal temperature rise rate curve graph of the battery cells in the target battery pack, which is the standard judgment basis for predicting the thermal runaway risk of the battery pack.

[0063] It can be understood that for battery packs with different specifications of data, the key information such as the capacity, structure, and material characteristics of the battery cells inside are different. Therefore, the corresponding standard comparison data will also be different. Thus, after the computer device obtains the specification data of the battery cells in the target battery pack, it can match the standard comparison data corresponding to this specification data from the database to improve the accuracy of subsequent thermal runaway prevention. Among them, the standard comparison data in the database is obtained by conducting design experiments in advance using battery packs with different specifications of data, including the thermal runaway temperature rise rate curve graph and the normal temperature rise rate curve graph.

[0064] Schematically, as Figure 2 shown, Figure 2 is a display graph of a thermal runaway temperature rise rate curve graph provided by an embodiment of the present application, which describes the temperature and temperature rise changes of the battery cells in the battery pack during the thermal runaway process. Expanding on this, during the thermal runaway process, the change of the temperature rise rate and the temperature presents a typical closed-loop characteristic, starting from a zero temperature rise rate, experiencing acceleration, reaching a peak, and then gradually slowing down to zero in a complete process. When the temperature rises to a certain threshold, the chemical reaction inside the battery cells is triggered, releasing more heat, and the temperature rise rate increases rapidly; when the battery cells in the battery pack reach the critical temperature point, the strong release of the chemical reaction reaches the maximum intensity, and the temperature rise rate also reaches the highest value. Subsequently, due to the gradual consumption of the reactants, the released heat begins to decrease, the temperature rise rate gradually decreases, and the temperature returns to the original state.

[0065] In addition, the normal operating state of the battery pack includes the discharge state and the charge state. Therefore, the normal temperature rise rate curve graph of the present application can include the normal temperature rise rate curve graph of discharge at different rates and the normal temperature rise rate curve graph of charge at different rates, aiming to express the two states of the battery pack during discharge and charge. Schematically, as Figure 3 and Figure 4 shown, Figure 3 is a display graph of a normal temperature rise rate curve graph of discharge at different rates provided by an embodiment of the present application; Figure 4 is a display graph of a normal temperature rise rate curve graph of charge at different rates provided by an embodiment of the present application. Figure 3 and Figure 4 are both composed of multiple temperature rise curves at different rates, such as 0.33C, 0.5C, 1C, 2C, and 3C. In this way, the temperature change law of the battery cells in the battery pack under various working load conditions can be comprehensively recorded, providing reference data for different usage scenarios, and thus improving the accuracy and adaptability of thermal runaway risk prediction.

[0066] Among them, the rate can directly reflect the charging and discharging speed of the battery pack. Under different rates, there are significant differences in the heat and temperature rise characteristics of the battery cells in the battery pack. For example, during low-rate discharge, the current of the battery cells in the battery pack is small, the generated heat is less, and the temperature rise rate curve is usually gentle and stable; while during high-rate discharge, the current of the battery cells in the battery pack increases significantly, the heat generated by the internal impedance increases, and the temperature rise rate curve may be steeper.

[0067] Furthermore, as Figure 3 and Figure 4 shown, affected by some external factors, during the temperature rise process of the battery pack during normal charging and discharging, there is a negative value for the temperature rise rate of the battery pack. For example, if the battery pack does not stand still to the ambient temperature after charging and discharging and then proceeds to the next round of charging and discharging, or if the constant temperature environment cannot fully ensure constant temperature, then performing low-rate charging and discharging will cause the battery pack to be lower than the original temperature. Based on this, the normal temperature rise rate curve diagram of this application has strong practical reference significance. Using this normal temperature rise rate curve diagram for thermal runaway prevention can further improve the effectiveness of the prevention result.

[0068] S120: Monitor the temperature of the target battery pack to obtain a monitoring result, and determine the actual temperature rise rate of the battery cells in the target battery pack in real time according to the monitoring result.

[0069] In this step, after obtaining the standard comparison data of the target battery pack through step S110, the computer device can also monitor the temperature of the target battery pack in the working state to obtain a monitoring result, and then can determine the actual temperature rise rate of the battery cells in the target battery pack in real time according to this monitoring result, as the basic data for predicting the thermal runaway risk of the target battery pack.

[0070] Specifically, the computer device can continuously collect the real-time temperature of the target battery pack through built-in sensors or external monitoring devices, and record the collected temperature data at a preset frequency as the monitoring result of the target battery pack; whenever the monitoring result is updated, the computer device can quickly calculate the actual temperature rise rate of the battery cells in the target battery pack, which is used to reflect the thermal change trend of the battery cells in the target battery pack under the current working conditions.

[0071] It can be understood that through the real-time calculation of the actual temperature rise rate, the computer device can timely feedback the working state of the target battery pack. Expanding on this, the computer device can analyze in real time whether the actual temperature rise rate of the battery cells in the target battery pack deviates from the normal range, or whether it is close to the dangerous area of thermal runaway, and then timely identify potential abnormal situations of the target battery pack, significantly shortening the reaction time of the battery pack thermal runaway, thereby effectively reducing the safety risks that thermal runaway may bring.

[0072] S130: Determine the rate difference between the actual temperature rise rate and the corresponding thermal runaway temperature rise rate in the thermal runaway temperature rise rate curve, and when the rate difference is less than the rate safety threshold, determine the risk trend type of the target battery pack according to the actual temperature rise rate.

[0073] In this step, after determining the actual temperature rise rate of the target battery pack through step S120, the computer device can determine the rate difference between the actual temperature rise rate and the corresponding thermal runaway temperature rise rate in the thermal runaway temperature rise rate curve; when the rate difference is less than the rate safety threshold, it indicates that the monitoring data is abnormal. At this time, the computer device can determine the risk trend type of the target battery pack according to the actual temperature rise rate, thereby realizing the early prediction of the thermal runaway risk.

[0074] It can be understood that the risk trend type is the result of classifying the potential thermal runaway development mode of the battery pack, such as slow thermal runaway and rapid thermal runaway; it reflects the development speed of the thermal runaway risk and the possible severity, and is an important basis for realizing accurate early warning. By determining the risk trend type, the computer device can classify the risk level when the battery pack may have a thermal runaway risk, providing an important basis for taking targeted preventive measures.

[0075] Specifically, the rate difference in this application is a key indicator for judging whether the working state of the battery pack is abnormal. When the rate difference is less than the preset rate safety threshold, it indicates that the actual temperature rise rate of the target battery pack has approached the critical range of the thermal runaway temperature rise rate, which means that the monitoring data may be abnormal, and the target battery pack has a development trend of thermal runaway. At this time, the computer device can determine the risk trend type of the target battery pack according to the actual temperature rise rate to further evaluate its risk. Therefore, through the judgment of the rate difference and the determination of the risk trend type in this application, the computer device can identify potential risk signals in the early stage of the thermal runaway development, predict the occurrence probability and development trend of the thermal runaway in advance, and provide a scientific basis for taking targeted preventive measures.

[0076] S140: Adopt a risk assessment strategy corresponding to the risk trend type, and based on the normal temperature rise rate curve, conduct a risk assessment on the monitoring results to obtain an assessment result.

[0077] In this step, after determining the risk trend type of the target battery pack through step S130, the computer device can adopt a risk assessment strategy corresponding to this risk trend type, and based on the normal temperature rise rate curve, conduct a risk assessment on the monitoring results of the target battery pack to obtain an assessment result. Here, the computer device can conduct a targeted assessment of the battery pack through the risk assessment strategies of different risk trend types, thereby improving the accuracy of the assessment result.

[0078] Specifically, after determining the risk trend type of the target battery pack, the computer device can further adopt a risk assessment strategy matching the risk trend type to conduct targeted risk assessment on the working state of the target battery pack. During the risk assessment process, the computer device can comprehensively analyze the temperature rise behavior of the target battery pack based on the normal temperature rise rate curve graph and real-time monitoring data, so as to accurately identify the possible thermal runaway risks therein and output a detailed assessment result.

[0079] It can be understood that by combining the risk assessment strategies of different risk trend types, the computer device can flexibly adapt to the complex changes of the target battery pack under various working conditions, fully consider the characteristics of different thermal runaway modes, thereby improving the recognition accuracy of thermal runaway risks and the reliability of assessment results, and providing a more explicit basis for subsequent emergency response and safety control.

[0080] S150: When the assessment result indicates the existence of a thermal runaway risk, mark the target battery pack as a risk battery pack and conduct risk control on the risk battery pack.

[0081] In this embodiment, after obtaining the assessment result of the target battery pack through step S140, if the assessment result indicates the existence of a thermal runaway risk, the computer device can mark the target battery pack as a risk battery pack to conduct risk control on the risk battery pack, so as to intervene in the battery pack predicted to have a thermal runaway risk in advance, thereby effectively controlling the reaction time of the battery pack thermal runaway and the problem of thermal spread.

[0082] Specifically, the computer device can mark the battery pack with a thermal runaway risk as a risk battery pack according to the assessment result, and then can initiate targeted risk control measures to comprehensively monitor and intervene in the battery pack in various ways, so as to take measures in advance for possible thermal runaway events and minimize potential hazards.

[0083] It can be understood that through risk control, the computer device can take intervention measures when the thermal runaway risk has not fully manifested, greatly shortening the thermal runaway reaction time and effectively curbing the thermal spread phenomenon that may be caused by thermal runaway, thereby realizing the safety protection of the target battery pack and its surrounding equipment.

[0084] In the above embodiments, when preventing thermal runaway of the battery pack, the specification data of the target battery pack can be obtained, so that the standard comparison data corresponding to the specification data can be determined. The standard comparison data here is obtained by conducting design experiments on battery packs with corresponding specification data in advance, and includes a thermal runaway temperature rise rate curve graph and a normal temperature rise rate curve graph. It is the standard judgment basis for predicting the thermal runaway risk of the battery pack. For example, during the process of preventing thermal runaway, the temperature of the target battery pack can be monitored to obtain the monitoring result, and the actual temperature rise rate of the battery cells in the target battery pack can be determined in real time according to the monitoring result. Then, the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate corresponding in the thermal runaway temperature rise rate curve graph can be determined, so as to judge whether the battery pack has a thermal runaway risk by judging whether the monitoring data of the battery pack is abnormal. When the monitoring data is abnormal, that is, the rate difference is less than the rate safety threshold, the risk trend type of the target battery pack can be determined according to the actual temperature rise rate, and then the risk assessment strategy corresponding to the risk trend type can be adopted to conduct a risk assessment on the monitoring result based on the normal temperature rise rate curve graph to obtain the assessment result. Here, the accuracy of the assessment result can be improved through the risk assessment strategies of different risk trend types; finally, the battery packs with the assessment result of having a thermal runaway risk can be marked as risk battery packs, and risk control can be carried out on the risk battery packs. Through this method, the present application can predict in advance the battery packs with a thermal runaway risk and intervene in them, thereby effectively controlling the reaction time and thermal spread problem of the thermal runaway of the battery pack.

[0085] In one embodiment, the process of determining the actual temperature rise rate of the battery cells in the target battery pack in real time according to the monitoring result in step S120 may include:

[0086] S121: Read the current temperature of the target battery pack at the current moment, and determine the starting temperature corresponding to the current temperature in the monitoring result according to the preset duration.

[0087] S122: Determine the temperature difference between the current temperature and the starting temperature, and calculate the ratio of the preset duration to the temperature difference as the actual temperature rise rate of the battery cells in the target battery pack.

[0088] In this embodiment, when the computer device determines the actual temperature rise rate of the target battery pack, it can first read the current temperature of the target battery pack at the current moment, and determine the starting temperature corresponding to the current temperature in the monitoring result according to the preset duration. Then, it can determine the temperature difference between the current temperature and the starting temperature, and calculate the ratio of the preset duration to the temperature difference as the actual temperature rise rate of the battery cells in the target battery pack.

[0089] It can be understood that the temperature rise rate reflects the change in temperature per unit time, which needs to be reflected by comparing the temperature difference over a period of time. Therefore, in this application, the current moment can be used as the end moment, and the preset duration can be used as the unit time to deduce the start moment backward, and the temperature value monitored at the start moment in the monitoring data can be read as the start temperature corresponding to the current temperature. Furthermore, the actual temperature rise rate of the battery cells in the target battery pack can be calculated by combining these two temperature values. By uniformly analyzing the time window, this application can make the calculation of the temperature rise rate consistent in different monitoring periods. Therefore, the computer device can dynamically capture the thermal change characteristics of the target battery pack within the set time period, ensuring the real-time and accuracy of the calculation results.

[0090] Specifically, after determining the start temperature corresponding to the current temperature, the computer device can calculate the temperature difference between the current temperature and the start temperature to determine the temperature change amount of the battery cells in the target battery pack within the preset duration, so as to reflect the thermal change trend of the battery cells in the target battery pack within the set time. Subsequently, the computer device can perform a ratio operation on the preset duration and the calculated temperature difference to obtain the actual temperature rise rate of the battery cells in the target battery pack. This actual temperature rise rate can not only accurately quantify the temperature change of the battery cells in the target battery pack within the preset duration but also reflect the thermal dynamic characteristics of the target battery pack in real time, providing a basis for subsequent thermal runaway risk assessment.

[0091] In one embodiment, the process of determining the rate difference between the actual temperature rise rate and the corresponding thermal runaway temperature rise rate in the thermal runaway temperature rise rate curve diagram in step S130 may include:

[0092] S131: Determine the start temperature and the current temperature corresponding to the actual temperature rise rate, and determine the start temperature and the change duration between the current temperature from the thermal runaway temperature rise rate curve diagram.

[0093] S132: Calculate the thermal runaway temperature rise rate of the battery cells in the target battery pack based on the start temperature, the current temperature, and the change duration, and calculate the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate.

[0094] In this step, after calculating the actual temperature rise rate of the target battery pack, the computer device can determine the start temperature and the current temperature corresponding to this actual temperature rise rate, and then determine the start temperature and the change duration between the current temperature from the thermal runaway temperature rise rate curve diagram. Then, the computer device can calculate the thermal runaway temperature rise rate of the battery cells in the target battery pack based on this start temperature, the current temperature, and the change duration, and further calculate the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate.

[0095] Specifically, the two temperature values of the starting temperature and the current temperature clearly demarcate the actual temperature change range of the battery cells in the target battery pack during the current time period. Based on this, the computer device can determine, through the thermal runaway temperature rise rate curve graph, the time interval required for the target battery pack to reach the current temperature from the starting temperature when thermal runaway occurs, that is, the change duration. Then, the computer device can calculate the thermal runaway temperature rise rate of the battery cells in the target battery pack within this temperature change range by using the starting temperature, the current temperature, and the change duration. This thermal runaway temperature rise rate is calculated based on the thermal runaway temperature rise rate curve and is a key reference value for predicting the possible thermal runaway of the target battery pack under the same conditions. Therefore, the computer device can compare the actual temperature rise rate with the calculated thermal runaway temperature rise rate, and quantify the deviation between the actual state and the thermal runaway characteristics by calculating the rate difference between the two.

[0096] It can be understood that the rate difference here can intuitively reflect whether the working state of the target battery pack is close to the thermal runaway critical point. Through this rate difference, the computer device can dynamically monitor the thermal behavior of the target battery pack and provide reliable data support for the early identification and prediction of thermal runaway risks.

[0097] In one embodiment, the risk trend types in step S130 may include slow thermal runaway and fast thermal runaway; among them, the process of determining the risk trend type of the target battery pack according to the actual temperature rise rate may include:

[0098] S133: Determine whether the actual temperature rise rate is less than the preset runaway rate.

[0099] S134: If so, confirm that the risk trend type of the target battery pack is slow thermal runaway.

[0100] S135: If not, confirm that the risk trend type of the target battery pack is fast thermal runaway.

[0101] In this embodiment, when the computer device determines the actual temperature rise rate of the target battery pack, it can determine whether the actual temperature rise rate is less than the preset runaway rate, and then determine the risk trend type of the target battery pack according to the judgment result. For example, when the actual temperature rise rate is less than the preset runaway rate, it indicates that the risk trend type of the target battery pack is slow thermal runaway; when the actual temperature rise rate is not less than the preset runaway rate, it indicates that the risk trend type of the target battery pack is fast thermal runaway.

[0102] It is understandable that slow thermal runaway and fast thermal runaway are two different types of thermal runaway risk trends for battery packs. They are mainly distinguished by the rate of temperature rise and reflect the characteristics of the changes that occur during the thermal runaway process of the battery pack. Specifically, slow thermal runaway refers to a relatively low rate of temperature rise of the target battery pack. Although the temperature gradually increases, the heating process is relatively gentle and will not quickly reach the critical point of thermal runaway within a short period of time, providing a certain buffer time. Fast thermal runaway, on the other hand, refers to a relatively high rate of temperature rise of the target battery pack, quickly approaching or even exceeding the critical point of thermal runaway within a short period of time. Therefore, through the accurate identification of slow thermal runaway and fast thermal runaway, computer equipment can provide an important basis for adopting targeted risk assessment strategies and effectively reduce the safety risks that thermal runaway may bring.

[0103] In one embodiment, multiple normal temperature rise rate curves with different charge-discharge rates are plotted in the normal temperature rise rate curve graph in step S140. Among them, the process of obtaining the evaluation result by performing a risk assessment on the monitoring result based on the normal temperature rise rate curve graph using a risk assessment strategy corresponding to the risk trend type may include:

[0104] S1411: When the risk trend type is slow thermal runaway, determine the charge-discharge rate of the target battery pack in the actual usage scenario and determine the normal temperature rise rate curve corresponding to the charge-discharge rate in the normal temperature rise rate curve graph.

[0105] S1412: Determine the standard temperature rise degree corresponding to the target battery pack within the target time period from the normal temperature rise rate curve, and determine the actual temperature rise degree corresponding to the target battery pack within the target time period from the monitoring result.

[0106] S1413: Judge whether the actual temperature rise degree exceeds the standard temperature rise degree.

[0107] S1414: If so, confirm that the evaluation result of the target battery pack is that there is no thermal runaway risk.

[0108] S1415: If not, confirm that the evaluation result of the target battery pack is that there is a thermal runaway risk.

[0109] In this embodiment, when the risk trend type of the target battery pack is slow thermal runaway, the computer device can first determine the charge-discharge rate of the target battery pack in the actual usage scenario. Since multiple normal temperature rise rate curves with different charge-discharge rates are plotted in the normal temperature rise rate curve graph, the computer device can determine the standard temperature rise degree corresponding to the target battery pack within the target time period from the normal temperature rise rate curves. At the same time, the computer device can also determine the actual temperature rise degree corresponding to the target battery pack within the target time period from the monitoring results, and then compare the actual temperature rise degree with the standard temperature rise degree to confirm the evaluation result of the target battery pack according to the comparison result.

[0110] It can be understood that the charge-discharge rate of the target battery pack in the actual usage scenario is directly related to the thermal characteristics and performance of the target battery pack during operation, and the normal temperature rise rate curves of each charge-discharge rate in the normal temperature rise rate curve graph comprehensively reflect the temperature rise law of the battery pack under normal operating conditions at different rates. Therefore, after the computer device determines the charge-discharge rate of the target battery pack, it can select the standard temperature rise rate curve matching this rate from the normal temperature rise rate curve graph, and further determine the standard temperature rise degree corresponding to the target time period as the reference temperature change range of the target battery pack under normal operating conditions for judging whether the current state deviates from the normal operating range.

[0111] Furthermore, while determining the standard temperature rise degree corresponding to the target battery pack within the target time period, the computer device can also extract the actual temperature rise degree of the target battery pack within the same target time period from the monitoring data to reflect the current temperature change of the target battery pack. Then, the computer device can compare the actual temperature rise degree with the standard temperature rise degree to determine whether the actual temperature rise degree exceeds the standard temperature rise degree. If it exceeds, it indicates that there is an abnormal heat accumulation phenomenon in the target battery pack, so the evaluation result of the target battery pack is that there is a risk of thermal runaway. If it does not exceed, it indicates that the current temperature rise of the target battery pack conforms to the normal state, so the evaluation result of the target battery pack is that there is no risk of thermal runaway.

[0112] It should be noted that the working state of the target battery pack can include the discharge state and the charge state. Therefore, when the computer device confirms the standard temperature rise degree of the target battery pack, it can first confirm the working state of the target battery pack, and then select the corresponding normal temperature rise rate curve graph to confirm the standard temperature rise degree. For example, when the working state of the target battery pack is the discharge state, the computer device can select the normal temperature rise rate curve graph for discharge at the shown rate; when the working state of the target battery pack is the charge state, the computer device can select the normal temperature rise rate curve graph for charge at the shown rate. Figure 3 shown; when the working state of the target battery pack is the charge state, the computer device can select the normal temperature rise rate curve graph for charge at the shown rate as Figure 4 shown.

[0113] In one embodiment, in step S140, when using a risk assessment strategy corresponding to the risk trend type to perform a risk assessment on the monitoring result based on the normal temperature rise rate curve to obtain the assessment result, the process may further include:

[0114] S1421: When the risk trend type is rapid thermal runaway, determine the starting temperature of the battery cells in the target battery pack and the current temperature at the current moment.

[0115] S1422: Determine the actual time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the monitoring result, and determine the standard time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the normal temperature rise rate curve.

[0116] S1423: Calculate the time difference between the actual time taken and the standard time taken, and determine whether the time difference is less than the time safety threshold.

[0117] S1424: If so, confirm that the assessment result of the target battery pack is that there is no risk of thermal runaway.

[0118] S1425: If not, confirm that the assessment result of the target battery pack is that there is a risk of thermal runaway.

[0119] In this embodiment, when the risk trend type of the target battery pack is rapid thermal runaway, the computer device may first determine the starting temperature of the battery cells in the target battery pack and the current temperature at the current moment, so as to determine the actual time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the monitoring result, and determine the standard time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the normal temperature rise rate curve. Then, the computer device may calculate the difference between the actual temperature rise degree and the standard temperature rise degree to confirm the assessment result of the target battery pack according to the calculation result.

[0120] It should be noted that for rapid thermal runaway, the process of determining the standard data of the target battery pack from the normal temperature rise rate curve is the same as that of slow thermal runaway, which will not be elaborated here.

[0121] Specifically, the starting temperature refers to the initial state when the battery cells in the target battery pack start to heat up, while the current temperature refers to the temperature level of the battery cells in the target battery pack at the current moment. By combining and analyzing these two temperature data, the computer device can reflect the temperature change trend of the battery cells in the target battery pack over a period of time. Specifically, based on the monitoring results, the computer device can calculate the actual time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature, which is used as the actual time consumption in the actual usage scenario. At the same time, the computer device can also extract the standard time required for the battery cells in the target battery pack to rise from the starting temperature to the current temperature from the normal temperature rise rate curve graph, which represents the time required for the battery cells in the target battery pack to complete the same temperature change under normal working conditions. Subsequently, the computer device can calculate the time difference between the two; if the time difference is less than the time consumption safety threshold, it indicates that the actual time consumption is close to the standard time consumption, and the temperature rise rate of the battery cells in the target battery pack is not significantly abnormal. Therefore, the evaluation result of the target battery pack is that there is no risk of thermal runaway; if the time difference is not less than the time consumption safety threshold, it indicates that the temperature rise rate of the battery cells in the target battery pack is significantly higher than the normal state, and it may enter the dangerous range of thermal runaway. Therefore, the evaluation result of the target battery pack is that there is a risk of thermal runaway.

[0122] In one embodiment, the process of marking the target battery pack as a risk battery pack and performing risk control on the risk battery pack in step S150 may include:

[0123] S151: Determine the battery safety temperature of the target battery pack according to the preset thermal runaway temperature change curve graph, and monitor the real-time temperature of the battery cells in the target battery pack in real time.

[0124] S152: When it is monitored that the real-time temperature exceeds the battery safety temperature, perform power-off prevention processing on the target battery pack and initiate a thermal runaway alarm.

[0125] In this embodiment, when the computer device performs risk control on the risk battery pack, it can determine the battery safety temperature of the target battery pack according to the preset thermal runaway temperature change curve graph, and monitor the real-time temperature of the battery cells in the target battery pack in real time. When the computer device monitors that the real-time temperature exceeds the battery safety temperature, it performs power-off prevention processing on the target battery pack and initiates a thermal runaway alarm.

[0126] Schematically, as Figure 5 shown, Figure 5 is a display diagram of a thermal runaway temperature change curve graph provided by an embodiment of the present application; Figure 5Illustrated is a graph showing the change in temperature of a battery pack over time during thermal runaway. It can be seen that the temperature of the battery cells inside the battery pack keeps rising before thermal runaway, gradually reaching the battery safety temperature T1 = 134.2 °C, the thermal runaway initiation temperature T2 = 196.7 °C, and the maximum thermal runaway temperature T3 = 471.2 °C. Among them, the battery safety temperature T1 refers to the upper limit of the safety temperature of the battery pack under normal operating conditions. Below this temperature, the performance parameters of the battery pack can still remain stable, and the internal electrochemical reactions are at a normal level; the thermal runaway initiation temperature T2 refers to the critical temperature at which the battery pack enters the thermal runaway state. When the temperature of the battery pack rises to T2, the internal chemical reaction rate increases sharply, resulting in a large amount of heat generation, forming a positive feedback effect, and further accelerating the temperature rise; the maximum thermal runaway temperature T3 refers to the highest temperature value reached by the battery pack during thermal runaway. At this stage, almost all the heat sources inside the battery pack are released, posing a safety threat to the target battery pack and its surrounding equipment.

[0127] Therefore, when the computer device performs risk control on a risk battery pack, it can determine the battery safety temperature of the battery cells inside the target battery pack according to the thermal runaway temperature change curve corresponding to the target battery pack specification data, and then monitor the real-time temperature of the battery cells inside the target battery pack in real time. When the monitored real-time temperature exceeds the battery safety temperature, power-off prevention processing is performed on the target battery pack, and a thermal runaway alarm is initiated.

[0128] For example, when the target battery pack is in the charging state, the computer device can stop charging by cutting off the power; when the target battery pack is in the discharging state, the computer device can stop discharging by cutting off the power. At the same time, the computer device can also generate a thermal runaway alarm message through the BMS (Battery Management System) and transmit it to the upper-level control unit, such as the vehicle controller, the general controller, the EMS (Energy Management System) and other upper-level controllers in different fields, and activate the fire protection system.

[0129] Next, the battery pack thermal runaway prevention device provided by the embodiments of the present application will be described. The battery pack thermal runaway prevention device described below can be mutually referred to the battery pack thermal runaway prevention method described above.

[0130] In one embodiment, as Figure 6 shown, Figure 6 is a schematic structural diagram of a battery pack thermal runaway prevention device provided by an embodiment of the present application; the present application also provides a battery pack thermal runaway prevention device, including a data acquisition module 210, a temperature monitoring module 220, a trend prediction module 230, a risk assessment module 240, and a risk control module 250, which specifically include the following:

[0131] A data acquisition module 210, configured to acquire specification data of a target battery pack and determine standard comparison data corresponding to the specification data; the standard comparison data includes a thermal runaway temperature rise rate curve graph and a normal temperature rise rate curve graph of the battery cells in the target battery pack.

[0132] A temperature monitoring module 220, configured to monitor the temperature of the target battery pack to obtain a monitoring result, and determine the actual temperature rise rate of the battery cells in the target battery pack in real time according to the monitoring result.

[0133] A trend prediction module 230, configured to determine the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate corresponding in the thermal runaway temperature rise rate curve graph, and when the rate difference is less than the rate safety threshold, determine the risk trend type of the target battery pack according to the actual temperature rise rate.

[0134] A risk assessment module 240, configured to adopt a risk assessment strategy corresponding to the risk trend type, and perform a risk assessment on the monitoring result based on the normal temperature rise rate curve graph to obtain an assessment result.

[0135] A risk control module 250, configured to mark the target battery pack as a risk battery pack when the assessment result indicates a thermal runaway risk, and perform risk control on the risk battery pack.

[0136] In the above embodiments, when preventing thermal runaway of the battery pack, the specification data of the target battery pack can be obtained, so that the standard comparison data corresponding to the specification data can be determined. The standard comparison data here is obtained by conducting design experiments on battery packs with corresponding specification data in advance, and includes a thermal runaway temperature rise rate curve graph and a normal temperature rise rate curve graph. It is the standard judgment basis for predicting the thermal runaway risk of the battery pack. For example, during the process of preventing thermal runaway, the temperature of the target battery pack can be monitored to obtain the monitoring result, and the actual temperature rise rate of the battery cells in the target battery pack can be determined in real time according to the monitoring result. Then, the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate corresponding in the thermal runaway temperature rise rate curve graph can be determined, so as to judge whether the battery pack has a thermal runaway risk by judging whether the monitoring data of the battery pack is abnormal. When the monitoring data is abnormal, that is, the rate difference is less than the rate safety threshold, the risk trend type of the target battery pack can be determined according to the actual temperature rise rate. Furthermore, a risk assessment strategy corresponding to the risk trend type can be adopted to conduct a risk assessment on the monitoring result based on the normal temperature rise rate curve graph to obtain the assessment result. Here, the accuracy of the assessment result can be improved through risk assessment strategies of different risk trend types; finally, the battery packs with the assessment result of having a thermal runaway risk can be marked as risk battery packs, and risk control is carried out on the risk battery packs. Through this method, the present application can predict in advance the battery packs with thermal runaway risks and intervene in them, thereby effectively controlling the reaction time and thermal spread problem of the thermal runaway of the battery pack.

[0137] In one embodiment, the temperature monitoring module 220 may include:

[0138] A temperature reading sub-module, configured to read the current temperature of the target battery pack at the current moment, and determine the starting temperature corresponding to the current temperature in the monitoring result according to a preset duration.

[0139] A rate calculation sub-module, configured to determine the temperature difference between the current temperature and the starting temperature, and calculate the ratio of the preset duration to the temperature difference as the actual temperature rise rate of the battery cells in the target battery pack.

[0140] In one embodiment, the trend prediction module 230 may include:

[0141] A duration determination sub-module, configured to determine the starting temperature and the current temperature corresponding to the actual temperature rise rate, and determine the change duration between the starting temperature and the current temperature from the thermal runaway temperature rise rate curve graph.

[0142] A difference calculation sub-module, configured to calculate the thermal runaway temperature rise rate of the battery cells in the target battery pack according to the starting temperature, the current temperature, and the change duration, and calculate the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate.

[0143] In one embodiment, the risk trend types in the trend prediction module 230 may include slow thermal runaway and rapid thermal runaway; wherein, the trend prediction module 230 may further include:

[0144] A rate judgment sub-module, configured to judge whether the actual temperature rise rate is less than a preset runaway rate.

[0145] A first type confirmation sub-module, configured to confirm that the risk trend type of the target battery pack is slow thermal runaway when the actual temperature rise rate is less than the preset runaway rate.

[0146] A second type sub-module, configured to confirm that the risk trend type of the target battery pack is rapid thermal runaway when the actual temperature rise rate is not less than the preset runaway rate.

[0147] In one embodiment, multiple normal temperature rise rate curves with different charge and discharge rates are plotted in the normal temperature rise rate curve graph in the risk assessment module 240; wherein, the risk assessment module 240 may include:

[0148] A first type assessment sub-module, configured to determine the charge and discharge rate of the target battery pack in the actual usage scenario and determine the normal rate temperature rise curve corresponding to the charge and discharge rate in the normal temperature rise rate curve graph when the risk trend type is slow thermal runaway.

[0149] A first data determination sub-module, configured to determine the standard temperature rise degree corresponding to the target battery pack within the target time period from the normal temperature rise rate curve, and determine the actual temperature rise degree corresponding to the target battery pack within the target time period from the monitoring result.

[0150] A first data comparison sub-module, configured to judge whether the actual temperature rise degree exceeds the standard temperature rise degree.

[0151] A first result confirmation sub-module, configured to confirm that the evaluation result of the target battery pack is that there is no risk of thermal runaway when the actual temperature rise degree exceeds the standard temperature rise degree.

[0152] A second result confirmation sub-module, configured to confirm that the evaluation result of the target battery pack is that there is a risk of thermal runaway when the actual temperature rise degree does not exceed the standard temperature rise degree.

[0153] In one embodiment, the risk assessment module 240 may further include:

[0154] A second type assessment sub-module, configured to determine the starting temperature of the battery cells in the target battery pack and the current temperature at the current moment when the risk trend type is rapid thermal runaway.

[0155] The second data determination sub-module is configured to determine the actual time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the monitoring result, and determine the standard time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the normal temperature rise rate curve graph.

[0156] The second data comparison sub-module is configured to calculate the time difference between the actual time and the standard time, and determine whether the time difference is less than the time safety threshold.

[0157] The third result confirmation sub-module is configured to confirm that the evaluation result of the target battery pack is that there is no risk of thermal runaway when the time difference is less than the time safety threshold.

[0158] The fourth result confirmation sub-module is configured to confirm that the evaluation result of the target battery pack is that there is a risk of thermal runaway when the time difference is not less than the time safety threshold.

[0159] In one embodiment, the risk control module 250 may include:

[0160] The temperature monitoring sub-module is configured to determine the battery safety temperature of the target battery pack according to the preset thermal runaway temperature change curve graph, and monitor the real-time temperature of the battery cells in the target battery pack in real time.

[0161] The prevention and warning sub-module is configured to perform power-off prevention processing on the target battery pack and initiate a thermal runaway warning when it monitors that the real-time temperature exceeds the battery safety temperature.

[0162] In one embodiment, the present application also provides a storage medium, in which computer-readable instructions are stored. When the computer-readable instructions are executed by one or more processors, one or more processors are caused to execute the steps of the battery pack thermal runaway prevention method as described in any one of the above embodiments.

[0163] In one embodiment, the present application also provides a computer device, in which computer-readable instructions are stored. When the computer-readable instructions are executed by one or more processors, one or more processors are caused to execute the steps of the battery pack thermal runaway prevention method as described in any one of the above embodiments.

[0164] Schematically, as Figure 7 shown, Figure 7 is an internal structure schematic diagram of a computer device provided by an embodiment of the present application. The computer device 300 may be provided as a server. Referring to Figure 7, the computer device 300 includes a processing component 302, which further includes one or more processors, and memory resources represented by a memory 301 for storing instructions executable by the processing component 302, such as application programs. The application programs stored in the memory 301 may include one or more modules each corresponding to a set of instructions. In addition, the processing component 302 is configured to execute instructions to perform the battery pack thermal runaway prevention method of any of the above embodiments.

[0165] The computer device 300 may further include a power component 303 configured to perform power management of the computer device 300, a wired or wireless network interface 304 configured to connect the computer device 300 to a network, and an input / output (I / O) interface 305. The computer device 300 may operate based on an operating system stored in the memory 301, such as Windows Server TM, Mac OS XTM, Unix TM, Linux TM, Free BSDTM, or the like.

[0166] Those skilled in the art can understand that Figure 7 the structure shown in

[0167] is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0168] Each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0169] The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for preventing thermal runaway of a battery pack, characterized in that: The method comprises: S110, obtaining specification data of a target battery pack, and determining standard comparison data corresponding to the specification data; the standard comparison data includes a thermal runaway temperature rise rate curve diagram and a normal temperature rise rate curve diagram of battery cells in the target battery pack; S120, monitoring the temperature of the target battery pack to obtain a monitoring result, and determining in real time an actual temperature rise rate of the battery cells in the target battery pack according to the monitoring result; S130, determining a rate difference between the actual temperature rise rate and the corresponding thermal runaway temperature rise rate in the thermal runaway temperature rise rate curve diagram, and when the rate difference is less than a rate safety threshold, determining a risk trend type of the target battery pack according to the actual temperature rise rate; S140, using a risk assessment strategy corresponding to the risk trend type, and performing risk assessment on the monitoring result based on the normal temperature rise rate curve to obtain an assessment result; S150: When the assessment result shows that there is a risk of thermal runaway, the target battery pack is marked as a risky battery pack, and risk management and control is performed on the risky battery pack.

2. The method for preventing thermal runaway of a battery pack according to claim 1, characterized in that: The step of determining the actual temperature rise rate of the battery cells in the target battery pack in real time according to the monitoring result includes: S121, reading the current temperature of the target battery pack at the current moment, and determining the starting temperature corresponding to the current temperature in the monitoring result according to a preset duration; S122: Determine the temperature difference between the current temperature and the starting temperature, and calculate the ratio of the preset time length to the temperature difference as the actual temperature rise rate of the battery cells in the target battery pack.

3. The method for preventing thermal runaway of a battery pack according to claim 1, characterized in that: Determining the rate difference between the actual temperature rise rate and the corresponding thermal runaway temperature rise rate in the thermal runaway temperature rise rate curve graph includes: S131, determining the starting temperature and the current temperature corresponding to the actual temperature rise rate, and determining the change time between the starting temperature and the current temperature from the thermal runaway temperature rise rate curve; S132. Calculate the thermal runaway temperature rise rate of the battery cells in the target battery pack according to the starting temperature, the current temperature and the change duration, and calculate the rate difference between the actual temperature rise rate and the thermal runaway temperature rise rate.

4. The method for preventing thermal runaway of a battery pack according to claim 1, characterized in that: The risk trend types include slow thermal runaway and rapid thermal runaway; The determining the risk trend type of the target battery pack according to the actual temperature rise rate includes: S133, determining whether the actual temperature rise rate is less than a preset out-of-control rate; S134: If yes, confirm that the risk trend type of the target battery pack is slow thermal runaway; S135: If not, confirm that the risk trend type of the target battery pack is rapid thermal runaway.

5. The method for preventing thermal runaway of a battery pack according to claim 1, characterized in that: The normal temperature rise rate curve graph is plotted with a plurality of normal temperature rise rate curves at different charge and discharge rates; The risk assessment strategy corresponding to the risk trend type is adopted to perform risk assessment on the monitoring result based on the normal temperature rise rate curve to obtain an assessment result, including: S1411. When the risk trend type is slow thermal runaway, determining the charge and discharge rate of the target battery pack in an actual use scenario, and determining a normal temperature rise rate curve corresponding to the charge and discharge rate in the normal temperature rise rate curve graph; S1412, determining a standard temperature rise degree corresponding to the target battery pack within the target time period from the normal temperature rise rate curve, and determining an actual temperature rise degree corresponding to the target battery pack within the target time period from the monitoring result; S1413, determining whether the actual temperature rise exceeds the standard temperature rise; S1414: If yes, confirm that the evaluation result of the target battery pack is that there is no risk of thermal runaway; S1415: If not, confirm that the evaluation result of the target battery pack is that there is a risk of thermal runaway.

6. The method for preventing thermal runaway of a battery pack according to claim 1, characterized in that: The adopting a risk assessment strategy corresponding to the risk trend type and performing risk assessment on the monitoring result based on the normal temperature rise rate curve to obtain an assessment result also includes: S1421. When the risk trend type is rapid thermal runaway, determining the starting temperature of the battery cells in the target battery pack and the current temperature at the current moment; S1422, determining the actual time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the monitoring result, and determining the standard time taken for the battery cells in the target battery pack to rise from the starting temperature to the current temperature according to the normal temperature rise rate curve; S1423, calculating the time difference between the actual time and the standard time, and determining whether the time difference is less than a time safety threshold; S1424: If yes, confirm that the evaluation result of the target battery pack is that there is no risk of thermal runaway; S1425: If not, confirm that the evaluation result of the target battery pack is that there is a risk of thermal runaway.

7. The method for preventing thermal runaway of a battery pack according to claim 1, characterized in that: The step of marking the target battery pack as a risky battery pack and performing risk management and control on the risky battery pack includes: S151, determining the battery safety temperature of the target battery pack according to a preset thermal runaway temperature change curve, and monitoring the real-time temperature of the battery cells in the target battery pack in real time; S1512: When it is monitored that the real-time temperature exceeds the battery safety temperature, a power-off prevention process is performed on the target battery pack, and a thermal runaway alarm is initiated.

8. A battery pack thermal runaway prevention device, characterized in that: include: A data acquisition module, used to acquire specification data of a target battery pack and determine standard comparison data corresponding to the specification data; The standard comparison data includes a thermal runaway temperature rise rate curve diagram and a normal temperature rise rate curve diagram of the battery cells in the target battery pack; A temperature monitoring module, used to monitor the temperature of the target battery pack and determine the actual temperature rise rate of the battery cells in the target battery pack in real time according to the monitoring results; a trend prediction module, used to determine a rate difference between the actual temperature rise rate and the corresponding thermal runaway temperature rise rate in the thermal runaway temperature rise rate curve diagram, and when the rate difference is less than a rate safety threshold, determine a risk trend type of the target battery pack according to the actual temperature rise rate; A risk assessment module, configured to adopt a risk assessment strategy corresponding to the risk trend type, perform risk assessment on the monitoring result based on the normal temperature rise rate curve, and obtain an assessment result; The risk management and control module is used to mark the target battery pack as a risky battery pack when the assessment result shows that there is a risk of thermal runaway, and to perform risk management on the risky battery pack.

9. A storage medium, characterized in that: The storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the battery pack thermal runaway prevention method as described in any one of claims 1 to 7.

10. A computer device, characterized in that: include: one or more processors, and memory; The memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the battery pack thermal runaway prevention method as described in any one of claims 1 to 7 are performed.

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