Battery pack condensation risk assessment method and device, electronic equipment and vehicle

Abstract

The invention provides a battery pack condensation risk assessment method and device, electronic equipment and a vehicle, relates to the technical field of vehicles, and is used for solving the problem that the battery pack condensation risk cannot be comprehensively assessed in related technologies, and the method comprises the following steps: performing simulation through a battery pack simulation model to obtain a simulation result under a target working condition, the simulation result is used for representing the test temperature, humidity and pressure of each point of an air domain in the battery pack at different moments; based on the simulation result under the target working condition, the condensation risk of the battery pack is evaluated, a condensation risk evaluation result under the target working condition is obtained, the evaluation result is used for representing the occurrence moment, the occurrence area and the condensation degree of a condensation event in the battery pack, and the condensation risk of the battery pack can be comprehensively reflected through the method; and the evaluation efficiency of the condensation risk is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a battery pack condensation risk assessment method and device, an electronic device and a vehicle. BACKGROUND

[0002] As a core component of new energy vehicles, the battery pack is an energy storage device and an important power output device of the new energy vehicle, and its performance directly affects the safety, power and economy of the vehicle. Since users have high requirements for charging time and hope to complete charging in a short time, technical personnel shorten the charging time by increasing the charging rate, but this method causes the battery pack to generate more and more heat, the air temperature in the battery pack becomes higher and higher, and the risk of condensation water in the battery pack becomes larger and larger.

[0003] In related technologies, the condensation risk of the battery pack can be evaluated in the following ways: one is to increase non-combustible gas and one-way communication devices in the structural design, and to evaluate the condensation risk of the battery pack by evaluating the air pressure in the battery pack. Another way is to evaluate the condensation risk by evaluating the temperature of the battery pack. However, in the first method, the non-combustible gas cannot continue to balance the internal air pressure of the battery pack after being consumed, so the condensation risk of the battery pack cannot be evaluated based on the internal air pressure. The second method only evaluates the temperature of the battery pack, which has a single evaluation parameter and cannot accurately reflect the overall condensation risk of the battery pack, resulting in low evaluation accuracy. Therefore, the condensation risk evaluation method in related technologies is inefficient and cannot accurately and effectively reflect the condensation risk of the battery pack. SUMMARY

[0004] One of the purposes of the present application is to provide a battery pack condensation risk assessment method to comprehensively reflect the condensation risk of the battery pack and improve the evaluation efficiency of the condensation risk. The second purpose is to provide a battery pack condensation risk assessment device. The third purpose is to provide an electronic device. The fourth purpose is to provide a vehicle.

[0005] To achieve the above purposes, the technical solution adopted by the present application is as follows:

[0006] In a first aspect, the present application provides a battery pack condensation risk assessment method, which comprises: simulating through a battery pack simulation model to obtain a simulation result under a target working condition, the simulation result being used to represent the test temperature, humidity and pressure of each point in the air domain of the battery pack at different times; evaluating the condensation risk of the battery pack based on the simulation result under the target working condition to obtain a condensation risk evaluation result under the target working condition, the evaluation result being used to represent the time, area and degree of condensation event occurrence in the battery pack.

[0007] According to the technical solution, the condensation risk of the battery pack can be evaluated based on the test temperature, humidity and pressure inside the battery pack, the condensation risk can be evaluated based on multiple battery pack related parameters, a more accurate evaluation result can be obtained, and the time, area and condensation degree of the condensation event inside the battery pack can be reflected based on the simulation result, the condensation risk of the battery pack can be comprehensively reflected, and the evaluation efficiency of the condensation risk is improved.

[0008] In a possible implementation, the condensation risk of the battery pack is evaluated based on the simulation result under the target working condition, and a condensation risk evaluation result under the target working condition is obtained, including: based on the simulation result under the target working condition, determining the dew point temperature of each point in the air domain inside the battery pack at different times; comparing the dew point temperature and the test temperature of each point in the air domain at different times to obtain the condensation risk evaluation result under the target working condition.

[0009] According to the technical means, the condensation risk of the battery pack can be evaluated based on the comparison result of the dew point temperature and the test temperature, so that the accuracy of the evaluation of the condensation risk is improved.

[0010] In a possible implementation, the condensation risk evaluation result under the target working condition is obtained by comparing the dew point temperature and the test temperature of each point in the air domain at different times, including: in the case that the test temperature of the target point in the air domain at the target time is lower than the dew point temperature, determining that the area of the condensation event includes the target point and the time of the condensation event is the target time; determining the condensation degree of the condensation event based on the difference between the test temperature and the dew point temperature of the target point in the air domain at the target time.

[0011] According to the technical means, the time, area and degree of the condensation event can be determined, so that the overall situation of the condensation event can be accurately reflected, and the comprehensive evaluation of the condensation event is realized.

[0012] In a possible implementation, the battery pack simulation model is obtained by the following method: simulation is performed based on an initial battery pack simulation model to obtain a simulation result under a test working condition; the condensation risk of the battery pack is evaluated based on the simulation result under the test working condition to obtain a condensation risk evaluation result under the test working condition; the initial battery pack simulation model is optimized based on the condensation risk evaluation result under the test working condition and a condensation risk actual result under the test working condition until the optimized battery pack simulation model is output when a model output condition is met; wherein the condensation risk actual result is obtained by test.

[0013] According to the technical means, the battery pack simulation model can be optimized based on the actual condensation risk result obtained through the test, and the accuracy of the simulation result of the simulation model is ensured.

[0014] In a possible implementation, the simulation is performed through the initial battery pack simulation model to obtain a simulation result under a test working condition, including: based on a 3D digital model of the battery pack obtained through the test, physical property parameters of each component, and test boundaries of each component, an initial battery pack simulation model is constructed through simulation software; the test boundary refers to a parameter boundary of the working state of each component; a test working condition parameter obtained through the test is taken as an input of the simulation software, and the initial battery pack simulation model is simulated to obtain the simulation result under the test working condition.

[0015] According to the technical means, the initial battery pack simulation model can be constructed based on the related parameters of the battery pack obtained through the test, the physical battery pack is fully reproduced, and the condensation risk assessment is performed based on the initial battery pack simulation model obtained through the full reproduction, so that the overall parameters of the battery pack can be assessed, and the accuracy of the condensation risk assessment is improved.

[0016] In a possible implementation, the initial battery pack simulation model is optimized based on the condensation risk assessment result under the test working condition and the actual condensation risk result under the test working condition, including: in a case where a deviation value between the condensation risk assessment result under the test working condition and the actual condensation risk result under the test working condition is greater than or equal to a preset threshold value, the initial battery pack simulation model is optimized based on an influence factor of the test working condition.

[0017] According to the technical means, the accuracy of the simulation model can be assessed based on the deviation value between the condensation risk assessment result under the test working condition and the actual condensation risk result under the test working condition, and in a case where the deviation value is greater than or equal to a preset threshold value, the initial battery pack simulation model is optimized to improve the accuracy of the model.

[0018] In a possible implementation, the initial battery pack simulation model is optimized based on the influence factor of the test working condition, including: based on the deviation value between the condensation risk assessment result under the test working condition and the actual condensation risk result under the test working condition, and a preset influence factor range, the influence factor of the test working condition is determined; through simulation software, the test working condition parameter of the initial battery pack model is adjusted based on the influence factor of the test working condition, and an optimized battery pack simulation model is obtained.

[0019] According to the above technical means, the influence factor under the test working condition can be determined based on the deviation value and the preset influence factor range, so as to optimize the initial battery pack model through the influence factor, thereby improving the accuracy of the condensation risk evaluation result of the battery pack model.

[0020] In a possible implementation, the model output condition includes that the deviation value between the condensation risk evaluation result under the test working condition and the actual condensation risk result under the test working condition is less than a preset threshold.

[0021] In a possible implementation, the deviation value between the condensation risk evaluation result under the test working condition and the actual condensation risk result under the test working condition includes at least one of the following: a deviation value between a condensation water quality generated by a condensation event in the condensation risk evaluation result under the test working condition and a condensation water quality generated by a condensation event in the actual condensation risk result under the test working condition; a deviation value between a time of occurrence of a condensation event in the condensation risk evaluation result under the test working condition and a time of occurrence of a condensation event in the actual condensation risk result under the test working condition; and a deviation value between a region of occurrence of a condensation event in the condensation risk evaluation result under the test working condition and a region of occurrence of a condensation event in the actual condensation risk result under the test working condition.

[0022] In a second aspect, the present application provides a battery pack condensation risk evaluation device, which comprises: a simulation module, configured to simulate through a battery pack simulation model to obtain a simulation result under a target working condition, the simulation result being used to represent test temperatures, humidities and pressures of each point in an air domain inside the battery pack at different times; and an evaluation module, configured to evaluate a condensation risk of the battery pack based on the simulation result under the target working condition to obtain a condensation risk evaluation result under the target working condition, the evaluation result being used to represent a time, a region and a condensation degree of occurrence of a condensation event in the battery pack.

[0023] According to the above technical solution, the condensation risk of the battery pack can be evaluated based on the test temperatures, humidities and pressures inside the battery pack, a more accurate evaluation result can be obtained through the condensation risk evaluation of various battery pack related parameters, and the time, the region and the condensation degree of occurrence of the condensation event in the battery pack can be reflected based on the simulation result, so that the condensation risk of the battery pack can be comprehensively reflected, and the evaluation efficiency of the condensation risk is improved.

[0024] In a possible implementation, the evaluation module is configured to determine dew point temperatures of each point in the air domain inside the battery pack at different times based on the simulation result under the target working condition, and compare the dew point temperatures and the test temperatures of each point in the air domain at different times to obtain the condensation risk evaluation result under the target working condition.

[0025] In a possible implementation, the evaluation module is configured to: in a case where the test temperature of the target point of the air field at the target moment is lower than the dew point temperature, determine that the area in which the condensation event occurs includes the target point, and the moment at which the condensation event occurs is the target moment; and determine the condensation degree of the condensation event based on a difference between the test temperature and the dew point temperature of the target point of the air field at the target moment.

[0026] In a possible implementation, the battery pack simulation model is constructed by: simulating an initial battery pack simulation model to obtain a simulation result under a test working condition; evaluating a condensation risk of the battery pack based on the simulation result under the test working condition to obtain a condensation risk evaluation result under the test working condition; and optimizing the initial battery pack simulation model based on the condensation risk evaluation result under the test working condition and a condensation risk actual result under the test working condition until the optimized battery pack simulation model is output when a model output condition is met; wherein the condensation risk actual result is obtained by test.

[0027] In a possible implementation, the simulating the initial battery pack simulation model to obtain a simulation result under a test working condition includes: constructing the initial battery pack simulation model based on a 3D digital model of the battery pack obtained by test, physical property parameters of each component, and test boundaries of each component; the test boundaries refer to parameter boundaries of the components in working states; and inputting test working condition parameters obtained by test into the simulation software to simulate the initial battery pack simulation model and obtain the simulation result under the test working condition.

[0028] In a possible implementation, the optimizing the initial battery pack simulation model based on the condensation risk evaluation result under the test working condition and the condensation risk actual result under the test working condition includes: in a case where a deviation value between the condensation risk evaluation result under the test working condition and the condensation risk actual result under the test working condition is greater than or equal to a preset threshold, optimizing the initial battery pack simulation model based on an influence factor of the test working condition.

[0029] In a possible implementation, the optimizing the initial battery pack simulation model based on the influence factor of the test working condition includes: determining the influence factor of the test working condition based on a deviation value between the condensation risk evaluation result under the test working condition and the condensation risk actual result under the test working condition and a preset influence factor range; and adjusting, by simulation software, the test working condition parameters of the initial battery pack model based on the influence factor of the test working condition to obtain an optimized battery pack simulation model.

[0030] In a possible implementation, the model output condition comprises that a deviation value between the condensation risk evaluation result under the test working condition and an actual result of the condensation risk under the test working condition is less than a preset threshold.

[0031] In a possible implementation, the deviation value between the condensation risk evaluation result under the test working condition and the actual result of the condensation risk under the test working condition comprises at least one of the following: a deviation value between a condensation water quality generated by a condensation event in the condensation risk evaluation result under the test working condition and a condensation water quality generated by a condensation event in the actual result of the condensation risk under the test working condition; a deviation value between a time of occurrence of a condensation event in the condensation risk evaluation result under the test working condition and a time of occurrence of a condensation event in the actual result of the condensation risk under the test working condition; and a deviation value between a region of occurrence of a condensation event in the condensation risk evaluation result under the test working condition and a region of occurrence of a condensation event in the actual result of the condensation risk under the test working condition.

[0032] In a third aspect, the present application provides an electronic device, comprising a memory and a processor, the memory and the processor are connected, and the processor is configured to execute the battery pack condensation risk evaluation method of the first aspect.

[0033] In a fourth aspect, the present application provides a vehicle, comprising the battery pack condensation risk evaluation device of the second aspect.

[0034] The present application has the following beneficial effects:

[0035] (1) The battery pack condensation risk can be evaluated based on the test temperature, humidity and pressure inside the battery pack. The condensation risk evaluation is performed based on multiple battery pack related parameters, so that more accurate evaluation results can be obtained. The simulation results can reflect the time, region and degree of condensation events in the battery pack, and can comprehensively reflect the condensation risk of the battery pack, thereby improving the evaluation efficiency of the condensation risk.

[0036] (2) The battery pack simulation model can be optimized based on the actual result of the condensation risk obtained by the test, so as to ensure the accuracy of the simulation results of the simulation model.

[0037] (3) According to the above technical means, the initial battery pack simulation model can be constructed based on the related parameters of the battery pack obtained by the test, so as to realize comprehensive replication of the physical battery pack. The condensation risk evaluation is performed based on the initial battery pack simulation model obtained by the comprehensive replication, so as to realize evaluation of all parameters of the battery pack, and improve the accuracy of the condensation risk evaluation. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1is a flow chart of a battery pack condensation risk assessment method according to an example embodiment;

[0039] Figure 2 is a flow chart of another battery pack condensation risk assessment method according to an example embodiment;

[0040] Figure 3 is a schematic diagram of simulation results under a test condition according to an example embodiment;

[0041] Figure 4 is a block diagram of a battery pack test rack according to an example embodiment;

[0042] Figure 5 is a structural diagram of a battery pack assembly according to an example embodiment;

[0043] Figure 6 is a structural diagram of another battery pack assembly according to an example embodiment;

[0044] Figure 7 is a structural diagram of another battery pack assembly according to an example embodiment;

[0045] Figure 8 is a flow chart of an optimization method of a battery pack simulation model according to an example embodiment;

[0046] Figure 9 is a block diagram of a battery pack condensation risk assessment device according to an example embodiment;

[0047] Figure 10 is a block diagram of an electronic device according to an example embodiment;

[0048] Figure 11 is a block diagram of a vehicle according to an example embodiment.

[0049] Reference Signs

[0050] 00 - environmental chamber; 01 - battery pack assembly, 1 - battery pack upper cover, 2 - battery cell, 3 - structural thermal conductive adhesive between battery cell and cold plate, 4 - sealing adhesive between frame and battery pack upper cover, 5 - frame, 6 - sealing adhesive between frame and cold plate, 7 - water nozzle (fluid domain), 8 - battery pack cold plate, 9 - sealing adhesive between battery pack cold plate and bottom shield, 10 - battery pack bottom shield, 11 - upper part of battery pack air domain, 12 - lower part of battery pack air domain; 02 - thermal management system assembly, 21 - valve, 22 - valve switching strategy, 23 - cooling liquid flow, 24 - cooling liquid temperature; 03 - signal collector; 04 - controller; 05 - data operation processing module; 06 - control console. DETAILED DESCRIPTION

[0051] The present application will be described in more detail by the following embodiments with reference to the attached drawings. The technical advantages and effects of the present application can be easily understood by those skilled in the art from the disclosure herein. The present application can also be implemented or applied by other different specific embodiments, and various modifications or changes can be made to the details herein based on different views and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, but not for limiting the protection scope of the present application. It should be noted that the drawings provided in the following embodiments only schematically illustrate the basic concept of the present application.

[0052] Firstly, the application scenario of the present application is introduced, and the present application is applied in the scenario of evaluating the condensation risk of a vehicle battery pack. In the related art, the method for evaluating the condensation risk of the battery pack is inefficient, and cannot accurately reflect the overall condensation risk of the battery pack, and the evaluation accuracy is low. In order to solve the above technical problems, the present application provides a battery pack condensation risk evaluation method, device, electronic equipment and vehicle, which simulates through a battery pack simulation model to obtain a simulation result under a target working condition. The simulation result is used to represent the test temperature, humidity and pressure of each point in the air domain inside the battery pack at different time points. The condensation risk of the battery pack is evaluated based on the simulation result under the target working condition to obtain a condensation risk evaluation result under the target working condition. The evaluation result is used to represent the time, area and condensation degree of the condensation event in the battery pack. According to the above technical solution, the condensation risk of the battery pack can be evaluated based on the test temperature, humidity and pressure inside the battery pack. The condensation risk can be evaluated through various battery pack related parameters, a more accurate evaluation result can be obtained, and the time, area and condensation degree of the condensation event in the battery pack can be reflected based on the simulation result. The condensation risk of the battery pack can be comprehensively reflected, and the evaluation efficiency of the condensation risk is improved.

[0053] Figure 1 is a flow chart of a battery pack condensation risk evaluation method according to an exemplary embodiment. As shown in Figure 1 , the method can include the following steps.

[0054] S101, simulating through a battery pack simulation model to obtain a simulation result under a target working condition.

[0055] The simulation result is used to represent various parameter information such as the test temperature, humidity and pressure of each point in the air domain inside the battery pack at different time points.

[0056] The air domain is a main area where the condensation event occurs inside the battery pack. The air domain can refer to an air collection between an upper cover and a cold plate of the battery pack, and an air collection between a bottom guard plate and the cold plate of the battery pack. The test temperature, humidity, and pressure can be monitored by simulation sensors in the battery pack simulation model.

[0057] S102, based on the simulation result under the target working condition, the condensation risk of the battery pack is evaluated, and a condensation risk evaluation result under the target working condition is obtained.

[0058] The evaluation result is used to represent the time, area, and condensation degree of the condensation event in the battery pack.

[0059] According to the above technical solution, the condensation risk of the battery pack can be evaluated based on the test temperature, humidity, and pressure inside the battery pack. By evaluating the condensation risk based on multiple battery pack related parameters, a more accurate evaluation result can be obtained. The simulation result can reflect the time, area, and condensation degree of the condensation event in the battery pack, which can comprehensively reflect the condensation risk of the battery pack and improve the evaluation efficiency of the condensation risk.

[0060] Figure 2 is a flow chart of another battery pack condensation risk evaluation method according to an example embodiment. As Figure 2 shown, S102 can include the following steps.

[0061] S1021, based on the simulation result under the target working condition, the dew point temperature of each point in the air domain inside the battery pack at different times is determined.

[0062] The dew point temperature refers to the temperature at which water vapor in the air begins to condense into liquid water or ice crystals under constant air humidity and air pressure. The dew point temperature can be calculated based on simulation sensors of multiple monitoring points in the air domain. The simulation sensors can be simulated based on temperature, humidity, and pressure integrated sensors.

[0063] S1022, the dew point temperature of each point in the air domain at different times is compared with the test temperature, and a condensation risk evaluation result under the target working condition is obtained.

[0064] The test temperature can be monitored by simulation sensors of multiple monitoring points in the air domain.

[0065] According to the above technical means, by comparing the dew point temperature and the test temperature, it can be determined whether the area where the monitoring point is located will have a condensation event, thereby realizing the evaluation of the condensation risk of the battery pack.

[0066] In a possible implementation, S1022 can include: determining that the region where the condensation event occurs includes the target point and the time when the condensation event occurs is the target time, in a case where the test temperature of the target point in the air domain at the target time is lower than the dew point temperature; and determining the condensation degree of the condensation event based on a difference between the test temperature of the target point in the air domain at the target time and the dew point temperature.

[0067] For example, in a case where the test point temperature Ttest is less than the dew point temperature Tdew, a condensation event occurs in the air domain. The greater the difference between the test point temperature Ttest and the dew point temperature Tdew, the greater the condensation degree of the condensation event. Further, the dew point temperature can be determined by a function: Tdew = f(Ttest, RHtest, Ptest), where Tdew is the dew point temperature, Ttest is the test point temperature, RHtest is the relative humidity, and Ptest is the pressure. According to the above technical means, the time, region and degree of the condensation event can be determined, so as to accurately reflect the overall situation of the condensation event, and further to realize comprehensive evaluation of the condensation event.

[0068] In a possible implementation, the battery pack simulation model is constructed by: performing simulation by using an initial battery pack simulation model to obtain a simulation result under a test working condition; evaluating the condensation risk of the battery pack based on the simulation result under the test working condition to obtain a condensation risk evaluation result under the test working condition; and optimizing the initial battery pack simulation model based on the condensation risk evaluation result under the test working condition and a condensation risk actual result under the test working condition, until a model output condition is met, and then outputting the optimized battery pack simulation model; where the condensation risk actual result is obtained by experimentally testing a real battery pack.

[0069] For example, the real battery pack can be experimentally tested by using a battery pack test rack to obtain the condensation risk actual result.

[0070] For example, the model output condition can include that a deviation value between the condensation risk evaluation result under the test working condition and the condensation risk actual result under the test working condition is less than a preset threshold. The preset threshold can be set by a user and is not limited herein. In a case where the deviation value is less than the preset threshold, it can be determined that the condensation risk evaluation result is closer to the condensation risk actual result obtained by the test, indicating that the accuracy of the evaluation result of the battery pack simulation model has been improved to a high level, and the optimized battery pack simulation model can be output.

[0071] The deviation value between the condensation risk evaluation result under the test working condition and the actual condensation risk result under the test working condition includes at least one of the following: a deviation value between a condensation water quality generated by a condensation event in the condensation risk evaluation result under the test working condition and a condensation water quality generated by a condensation event in the actual condensation risk result under the test working condition; a deviation value between a time when the condensation event occurs in the condensation risk evaluation result under the test working condition and a time when the condensation event occurs in the actual condensation risk result under the test working condition; and a deviation value between a region where the condensation event occurs in the condensation risk evaluation result under the test working condition and a region where the condensation event occurs in the actual condensation risk result under the test working condition. In this way, the condensation degree can be intuitively reflected by the condensation water quality generated in the condensation event, the time when the condensation event occurs can reflect the time when the condensation water is generated, and the region where the condensation event occurs can reflect the position where the condensation event occurs. The occurrence effect of the condensation event can be reflected from different dimensions based on the three parameters, so that the condensation risk of the battery pack can be comprehensively reflected.

[0072] The condensation water quality generated by the condensation event in the actual condensation risk result under the test working condition can be obtained by a hygroscopic sheet of the battery pack assembly in the battery pack test rack. For the condensation water quality in the actual condensation risk result under the test working condition, the difference between the initial mass of the hygroscopic sheet before the condensation event and the mass of the hygroscopic sheet after the condensation event can be obtained. According to the above technical means, the battery pack simulation model can be optimized based on the actual condensation risk result obtained by the test, and the accuracy of the simulation result of the simulation model can be ensured.

[0073] In a possible implementation, the simulation result under the test working condition is obtained by simulating the initial battery pack simulation model, including: constructing the initial battery pack simulation model based on the 3D digital model of the battery pack obtained by the test, the physical parameters of each component, and the test boundary of each component; the test boundary refers to the parameter boundary of the working state of each component; inputting the test working condition parameters obtained by the test into the simulation software to simulate the initial battery pack simulation model, and obtaining the simulation result under the test working condition.

[0074] The simulation result under the test working condition will be described below. Figure 3 The simulation result under the test working condition will be described below. Figure 3 FIG. 1 is a schematic diagram of a simulation result under a test working condition according to an example embodiment. Figure 3 FIG. 1A is a schematic diagram of a battery pack simulation model in which no condensation event occurs in an air domain, and FIG. 1B is a schematic diagram of a battery pack simulation model in which a condensation event occurs in the air domain. In FIG. 1A, points A, B, and C are marked points where the condensation event is likely to occur, degC represents temperature, ① represents a temperature value, and ② represents a humidity value. The closed curve in the air domain is an isotherm. Figure 3FIG. 2 is a schematic diagram of the occurrence of a condensation event in the air domain of a battery pack simulation model, wherein A, B, C, and D are marked points prone to condensation events.

[0075] In an example, the test battery pack can be a physical battery pack, and a 3D digital model of the test battery pack is used to represent the shape, size, and spatial relationship of the test battery pack. The physical property parameters of each component of the test battery pack can refer to the inherent physical properties of the material constituting the component, such as thermal conductivity, density, viscosity, or constant-pressure heat capacity, etc. The test boundary of each component of the test battery pack refers to the working limit of the performance parameters of the battery pack, which can include voltage, current, temperature, etc. The working limit can refer to the maximum and minimum values of voltage, the maximum and minimum values of current, the maximum and minimum values of temperature, etc., which are not limited herein.

[0076] According to the above technical means, an initial battery pack simulation model can be constructed based on the related parameters of the test battery pack, which can achieve a comprehensive replication of the physical battery pack. Furthermore, the condensation risk assessment can be performed based on the initial battery pack simulation model obtained through the comprehensive replication, which can achieve an assessment of all parameters of the battery pack and improve the accuracy of the condensation risk assessment.

[0077] In a possible implementation, the initial battery pack simulation model is optimized based on the condensation risk assessment result under the test working condition and the actual condensation risk result under the test working condition, including: in a case where a deviation value between the condensation risk assessment result under the test working condition and the actual condensation risk result under the test working condition is greater than or equal to a preset threshold, the initial battery pack simulation model is optimized based on the influence factor of the test working condition.

[0078] In an example, the influence factor can be used to adjust the range of the test working condition parameters. According to the above technical means, the accuracy of the simulation model can be evaluated based on the deviation value between the condensation risk assessment result under the test working condition and the actual condensation risk result under the test working condition, and in a case where the deviation value is greater than or equal to a preset threshold, the initial battery pack simulation model is optimized to improve the accuracy of the model.

[0079] In a possible implementation, the initial battery pack simulation model is optimized based on the influence factor of the test working condition, including: determining the influence factor of the test working condition based on the deviation value between the condensation risk assessment result under the test working condition and the actual condensation risk result under the test working condition, and a preset influence factor range; and adjusting the test working condition parameters of the initial battery pack model based on the influence factor of the test working condition through simulation software to obtain an optimized battery pack simulation model.

[0080] For example, the preset range of the influence factor can be set by the user and is not limited here. Based on this influence factor of the test condition, the test condition parameters of the initial battery pack model can be adjusted to ensure that the test condition parameters are within a more accurate range, thereby reducing the deviation between the condensation risk assessment results and the actual condensation risk results, and improving the accuracy of the battery pack simulation model. Furthermore, the optimized battery pack simulation model has higher accuracy and can be directly used to assess the condensation risk of the battery pack, thereby further improving the efficiency of condensation risk assessment.

[0081] In one possible implementation, the battery pack test can be performed using a battery pack test fixture. Figure 4 This is a block diagram illustrating a battery pack test fixture according to an exemplary embodiment, used to simulate the actual heat exchange process of a vehicle. Figure 4 As shown, the battery pack test fixture 400 may include an environmental chamber 00, a battery pack assembly 01, a thermal management system assembly 02, a signal acquisition unit 03, a controller 04, a data processing module 05, and a control console 06. The environmental chamber 00 may include the battery pack assembly 01 and the thermal management system assembly 02. The environmental chamber 00 can adjust the temperature, humidity, or pressure within the chamber in real time to ensure that the test boundaries within the environmental chamber are consistent with the actual environment of the vehicle.

[0082] The battery pack assembly 01 includes a battery pack cover 1, battery cells 2, thermally conductive adhesive between the battery cells and the cold plate 3, sealant between the frame and the battery pack cover 4, frame 5, sealant between the frame and the cold plate 6, water inlet (fluid area) 7, battery pack cold plate 8, sealant between the battery pack cold plate and the bottom guard plate 9, battery pack bottom guard plate 10, upper air area 11, and lower air area 12. Specifically, the upper air area 11 refers to the air collection area below the battery pack cover 1 and above the battery pack cold plate 8, and the lower air area 12 refers to the air collection area below the battery pack cold plate 8 and above the battery pack bottom guard plate 10. The thermal management system assembly 02 includes valves 21, valve switching strategies 22, coolant flow rate 23, and coolant temperature 24. Line ① indicates coolant flow direction, line ② indicates sensor signal transmission, and line ③ indicates control signal transmission.

[0083] The battery pack assembly 01 and the thermal management system assembly 02 are connected by pipelines. Valve switch 22 is adjusted via a control strategy to simulate the actual heat exchange conditions of the vehicle. The signal acquisition unit 03, controller 04, and data processing module 05 are integrated into the control console 06. The data from the signal acquisition unit 03 mainly includes the temperature of the battery pack cells, data monitored by the integrated temperature / humidity / pressure sensor, and the temperature and pressure values ​​of the thermal management system coolant. The control strategy of the controller 04 is consistent with the actual vehicle control strategy. During the test, the controller 04 can adjust the thermal management system in real time according to the required signals.

[0084] To facilitate reader understanding, this section uses... Figure 5 , Figure 6 and Figure 7 right Figure 3 The structure of the battery pack assembly 01 is described in more detail. (Refer to...) Figure 5 The battery pack assembly 01 may include the above-mentioned Figure 3 The components numbered 1 to 12 in the battery pack assembly 01 are not described in detail here.

[0085] Reference Figure 6 , Figure 6 'a' is Figure 3 The overall view of the battery pack cover 1 in the figure shows that the battery pack cover 1 may include battery pack cover 1-1, battery pack cover 1-2 and battery pack cover 1-3, where b is... Figure 3 A magnified view of the battery pack cover 1-1 in the image, where c is... Figure 3 The image shows a partial enlarged view of the battery pack cover 1-3. Both battery pack covers 1-1 and 1-3 are made of transparent material, allowing users to easily monitor the battery pack for condensation and water accumulation. Battery pack covers 1-1, 1-3, and 1-2 are bonded together as a single unit using positioning slots and special sealant. Sensors can be installed in battery pack cover 1, such as sensor 13 in battery pack cover 1-1 (a) and sensor 14 in battery pack cover 1-3 (b). These sensors can be integrated temperature, humidity, and pressure sensors to record the temperature, humidity, and pressure of the air inside the battery pack in real time. A camera can also be installed in battery pack cover 1, positioned between battery pack covers 1-1 and 1-2. This camera can be a 360° panoramic high-definition camera for real-time recording of the battery pack's internal status.

[0086] Reference Figure 7 , Figure 7 'a' is Figure 3 The diagram shows the sensor arrangement space of the battery pack cover 1. The battery pack cover 1 can be divided into 3 sensor arrangement spaces, namely sensor arrangement space 1, sensor arrangement space 2 and sensor arrangement space 3. The spacing between the 3 sensor arrangement spaces is the same. Figure 7 Figure b shows a schematic diagram of the sensor distribution. Multiple sensors can be arranged in the three sensor arrangement spaces and evenly distributed in each sensor arrangement space, so as to record the data in the battery pack more comprehensively and in detail.

[0087] From the above battery pack condensation risk assessment method, in the process of assessing the condensation risk of the battery pack, simulation and test will be involved, and based on the deviation value between the condensation risk assessment result obtained by simulation and the actual result of the condensation risk obtained by test, the initial battery pack simulation model is optimized, here through Figure 8 The optimization process of the above battery pack simulation model is described.

[0088] Figure 8 is a flow chart of another battery pack simulation model optimization method according to an exemplary embodiment. As shown in Figure 8 , the method can include the following steps.

[0089] S801, based on the 3D digital model of the battery pack obtained by test, the physical property parameters of each component and the test boundary of each component, the initial battery pack simulation model is constructed by simulation software.

[0090] S802, the test working condition parameters obtained by test are taken as the input of the simulation software, the initial battery pack simulation model is simulated, and the simulation result under the test working condition is obtained.

[0091] S803, based on the simulation result under the test working condition, the condensation risk of the battery pack is evaluated, and the condensation risk evaluation result under the test working condition is obtained.

[0092] S804, based on the heat exchange control parameters and environmental parameters of the vehicle battery pack, a battery pack test stand is constructed.

[0093] S805, the battery pack heat exchange performance test is carried out through the battery pack test stand, and the test working condition parameters under the test working condition are obtained.

[0094] S806, the test working condition parameters under the test working condition are analyzed, and the actual result of the condensation risk of the battery pack is obtained.

[0095] The execution order of S801-S803 is not earlier than the execution order of S804-S806, and they can also be performed simultaneously.

[0096] S807, the deviation value between the condensation risk evaluation result under the test working condition and the actual result of the condensation risk under the test working condition is determined.

[0097] S808, it is judged whether the deviation value is less than a preset threshold.

[0098] In the case where it is determined that the deviation value is less than the preset threshold, the initial battery pack simulation model is taken as the battery pack simulation model, and the process is ended. In the case where it is determined that the deviation value is greater than or equal to the preset threshold, S802 is executed.

[0099] According to the technical solution, the condensation risk of the battery pack can be evaluated based on the test temperature, humidity and pressure inside the battery pack, the condensation risk can be evaluated based on multiple battery pack related parameters, a more accurate evaluation result can be obtained, and the time, area and condensation degree of the condensation event inside the battery pack can be reflected based on the simulation result, the condensation risk of the battery pack can be comprehensively reflected, and the evaluation efficiency of the condensation risk is improved.

[0100] The above mainly introduces the scheme provided by the embodiments of the application from the perspective of the method. In order to realize the above functions, the battery pack condensation risk evaluation device or the electronic device comprises a hardware structure and / or a software module for executing each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed in the present application, the application can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the form of hardware or computer software driven hardware depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the application.

[0101] The embodiments of the application can divide the battery pack condensation risk evaluation device or the electronic device into functional modules according to the above method. For example, the battery pack condensation risk evaluation device or the electronic device can comprise functional modules corresponding to each functional division, or two or more functions can be integrated into one processing module. The integrated module can be realized in the form of hardware or software functional module. It should be noted that the division of modules in the embodiments of the application is illustrative, and is only a logical functional division. Actual implementation can have another division method.

[0102] Figure 9 is a block diagram of a battery pack condensation risk evaluation device 900 according to an example embodiment. As shown in Figure 9 The device 900 comprises a simulation module 910 and an evaluation module 920;

[0103] The simulation module 910 is configured to simulate through a battery pack simulation model to obtain a simulation result under a target working condition, the simulation result being used to represent test temperature, humidity and pressure of each point in the air domain inside the battery pack at different times;

[0104] The evaluation module 920 is configured to evaluate the condensation risk of the battery pack based on the simulation result under the target working condition to obtain a condensation risk evaluation result under the target working condition, the evaluation result being used to represent the time, area and condensation degree of the condensation event inside the battery pack.

[0105] According to the technical solution, the condensation risk of the battery pack can be evaluated based on the test temperature, humidity and pressure inside the battery pack, the condensation risk can be evaluated based on multiple battery pack related parameters, more accurate evaluation results can be obtained, and the time, area and condensation degree of the condensation event inside the battery pack can be reflected based on the simulation results, the condensation risk of the battery pack can be comprehensively reflected, and the evaluation efficiency of the condensation risk is improved.

[0106] In a possible implementation, the evaluation module 920 is configured to determine the dew point temperature of each point in the air domain inside the battery pack at different times based on the simulation result under the target working condition; compare the dew point temperature of each point in the air domain at different times with the test temperature to obtain the condensation risk evaluation result under the target working condition.

[0107] In a possible implementation, the evaluation module 920 is configured to determine that the area of the condensation event includes the target point and the time of the condensation event is the target time when the test temperature of the target point in the air domain at the target time is lower than the dew point temperature; and determine the condensation degree of the condensation event based on the difference between the test temperature and the dew point temperature of the target point in the air domain at the target time.

[0108] In a possible implementation, the battery pack simulation model is constructed in the following manner: simulation is performed based on an initial battery pack simulation model to obtain a simulation result under a test working condition; the condensation risk of the battery pack is evaluated based on the simulation result under the test working condition to obtain a condensation risk evaluation result under the test working condition; the initial battery pack simulation model is optimized based on the condensation risk evaluation result under the test working condition and an actual condensation risk result under the test working condition until the optimized battery pack simulation model is output when a model output condition is met; and the actual condensation risk result is obtained through test.

[0109] In a possible implementation, the simulation is performed based on the initial battery pack simulation model to obtain a simulation result under a test working condition, including: the initial battery pack simulation model is constructed based on a 3D digital model of the battery pack obtained through test, physical property parameters of each component and test boundaries of each component; the test boundaries refer to parameter boundaries of the components in working states; and the test working condition parameters obtained through test are used as input of the simulation software to simulate the initial battery pack simulation model to obtain the simulation result under the test working condition.

[0110] In a possible implementation, the initial battery pack simulation model is optimized based on the condensation risk evaluation result under the test working condition and the actual condensation risk result under the test working condition, including: in a case where a deviation value between the condensation risk evaluation result under the test working condition and the actual condensation risk result under the test working condition is greater than or equal to a preset threshold, the initial battery pack simulation model is optimized based on the influence factor of the test working condition.

[0111] In a possible implementation, the initial battery pack simulation model is optimized based on the influence factor of the test working condition, including: the influence factor of the test working condition is determined based on a deviation value between the condensation risk evaluation result under the test working condition and the actual condensation risk result under the test working condition, and a preset influence factor range; and the initial battery pack model test working condition parameter is adjusted based on the influence factor of the test working condition by using simulation software, to obtain an optimized battery pack simulation model.

[0112] In a possible implementation, the model output condition includes that a deviation value between the condensation risk evaluation result under the test working condition and the actual condensation risk result under the test working condition is less than a preset threshold.

[0113] In a possible implementation, the deviation value between the condensation risk evaluation result under the test working condition and the actual condensation risk result under the test working condition includes at least one of the following: a deviation value between a condensation water mass generated by a condensation event in the condensation risk evaluation result under the test working condition and a condensation water mass generated by a condensation event in the actual condensation risk result under the test working condition; a deviation value between a time of occurrence of a condensation event in the condensation risk evaluation result under the test working condition and a time of occurrence of a condensation event in the actual condensation risk result under the test working condition; and a deviation value between a region of occurrence of a condensation event in the condensation risk evaluation result under the test working condition and a region of occurrence of a condensation event in the actual condensation risk result under the test working condition.

[0114] Figure 10 FIG. 1 is a block diagram illustrating an electronic device 1000 according to an example embodiment. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the application as described and / or claimed in this document.

[0115] As Figure 10As shown, the electronic device 1000 can include a computing unit 1001 that can perform various appropriate actions and processes in accordance with a computer program stored in a read-only memory (ROM) 1002 or a computer program loaded into a random access memory (RAM) 1003 from a storage unit 1008. Various programs and data required for the operation of the electronic device 1000 can also be stored in the RAM 1003. The computing unit 1001, the ROM 1002, and the RAM 1003 are connected to each other through a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.

[0116] A plurality of components in the electronic device 1000 are connected to the I / O interface 1005, including an input unit 1006 such as a keyboard, a mouse, and the like, an output unit 1007 such as various types of displays, a speaker, and the like, a storage unit 1008 such as a magnetic disk, an optical disk, and the like, and a communication unit 1009 such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 1009 allows the electronic device 1000 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0117] The computing unit 1001 can be various general-purpose and / or special-purpose processing components having processing and computing capabilities. Some examples of the computing unit 1001 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, and the like. The computing unit 1001 performs various methods and processes described above, such as the flow control method. For example, in some embodiments, the flow control method can be implemented as a computer software program that is tangibly embodied in a machine-readable medium, such as the storage unit 1008. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 1000 via the ROM 1002 and / or the communication unit 1009. When the computer program is loaded into the RAM 1003 and executed by the computing unit 1001, one or more steps of the flow control method described above can be performed. Alternatively, in other embodiments, the computing unit 1001 can be configured to perform the flow control method by any other appropriate means, such as by means of firmware.

[0118] Figure 11 is a block diagram of a vehicle 1100 that can include the battery pack condensation risk assessment apparatus 900 described above.

[0119] Program code for carrying out methods of the present application can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program code, when executed by the processor or controller, causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server. In an embodiment, the above described functions / operations can be implemented in hardware.

[0120] To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0121] It should be understood that the various forms of flow shown in the figures can be re-ordered, added to, or deleted from without departing from the spirit of the present application. For example, the steps recited in the present application can be performed in parallel, in series, or in different orders, as long as the desired results of the technology disclosed in the present application are achieved, and are not limited herein.

[0122] The above embodiments are only preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Any equivalent replacement or transformation made by those skilled in the art based on the present application is within the protection scope of the present application.

Claims

1. A method for assessing the condensation risk of a battery pack, characterized in that, The method includes: Simulation was performed using a battery pack simulation model to obtain simulation results under the target operating conditions. The simulation results were used to characterize the test temperature, humidity, and pressure at various points in the air domain inside the battery pack at different times. The condensation risk of the battery pack is assessed based on the simulation results under the target operating condition, and the condensation risk assessment result under the target operating condition is obtained. The assessment result is used to characterize the time, area and degree of condensation event in the battery pack.

2. The method according to claim 1, characterized in that, The assessment of the condensation risk of the battery pack based on the simulation results under the target operating condition, to obtain the condensation risk assessment result under the target operating condition, includes: Based on the simulation results under the target operating conditions, the dew point temperature of each point in the air domain inside the battery pack at different times is determined. By comparing the dew point temperature and the test temperature at different times at various points in the air domain, the condensation risk assessment result under the target operating condition is obtained.

3. The method according to claim 2, characterized in that, The comparison of dew point temperatures and test temperatures at different times at various points in the air domain to obtain the condensation risk assessment results under the target operating condition includes: If the test temperature at the target point in the air domain is lower than the dew point temperature at the target time, the area where the condensation event occurs is determined to include the target point, and the time when the condensation event occurs is the target time. The degree of condensation of the condensation event is determined based on the difference between the test temperature and the dew point temperature at the target point in the air domain at the target time.

4. The method according to any one of claims 1 to 3, characterized in that, The battery pack simulation model was constructed in the following way: Simulation was performed using an initial battery pack simulation model to obtain simulation results under test conditions. The condensation risk of the battery pack is assessed based on the simulation results under the test conditions, and the condensation risk assessment results under the test conditions are obtained. Based on the condensation risk assessment results and the actual condensation risk results under the test conditions, the initial battery pack simulation model is optimized until the model output conditions are met, at which point the optimized battery pack simulation model is output; wherein, the actual condensation risk results are obtained through experimental testing.

5. The method according to claim 4, characterized in that, The simulation, performed using an initial battery pack simulation model, yields simulation results under test conditions, including: Based on the 3D digital model of the battery pack obtained from the test, the physical property parameters of each component and the test boundaries of each component, the initial battery pack simulation model is constructed using simulation software; the test boundaries refer to the parameter boundaries of each component under the working state. The test condition parameters obtained through experimental testing are used as input to the simulation software to simulate the initial battery pack simulation model, thereby obtaining the simulation results under the test conditions.

6. The method according to claim 4, characterized in that, The initial battery pack simulation model is optimized based on the condensation risk assessment results and the actual condensation risk results under the test conditions, including: If the deviation between the condensation risk assessment result under the test condition and the actual condensation risk result under the test condition is greater than or equal to a preset threshold, the initial battery pack simulation model is optimized based on the influence factor of the test condition.

7. The method according to claim 6, characterized in that, The optimization of the initial battery pack simulation model based on the influence factors of the test conditions includes: Based on the deviation between the condensation risk assessment results under the test conditions and the actual condensation risk results under the test conditions, and the preset influence factor range, the influence factor of the test conditions is determined. By using simulation software, the initial battery pack model test condition parameters are adjusted based on the influence factors of the test conditions to obtain an optimized battery pack simulation model.

8. The method according to claim 4, characterized in that, The model output conditions include that the deviation between the condensation risk assessment result under the test conditions and the actual condensation risk result under the test conditions is less than a preset threshold.

9. The method according to claim 8, characterized in that, The deviation between the condensation risk assessment result under the test condition and the actual condensation risk result under the test condition includes at least one of the following: The deviation between the mass of condensate generated by the condensation event in the condensation risk assessment result under the test conditions and the mass of condensate generated by the condensation event in the actual condensation risk result under the test conditions; The deviation between the time of occurrence of the condensation event in the condensation risk assessment result under the test conditions and the time of occurrence of the condensation event in the actual condensation risk result under the test conditions; The deviation between the area where condensation events occur in the condensation risk assessment results under the test conditions and the area where condensation events occur in the actual condensation risk results under the test conditions.

10. A battery pack condensation risk assessment device, characterized in that, The device includes: The simulation module is used to perform simulations using a battery pack simulation model to obtain simulation results under target operating conditions. The simulation results are used to characterize the test temperature, humidity, and pressure at various points in the air domain inside the battery pack at different times. The evaluation module is used to evaluate the condensation risk of the battery pack based on the simulation results under the target operating condition, and obtain the condensation risk evaluation result under the target operating condition. The evaluation result is used to characterize the time, area and degree of condensation event in the battery pack.

11. An electronic device, characterized in that, It includes a memory and a processor, the memory and the processor being connected, the processor being configured to execute the method of any one of claims 1 to 9 stored on the memory.

12. A vehicle, characterized in that, The vehicle includes the battery pack condensation risk assessment device as described in claim 10.

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