Battery case condensation detection method and device in vehicle, electronic equipment and storage medium

Abstract

The present disclosure provides a battery box condensation detection method and device, electronic equipment and storage medium in a vehicle. It relates to the technical field of batteries. The method comprises: if it is determined that temperature-related information in the battery box meets a preset condition, detecting a change in the water content of a preset volume of gas in the battery box within a preset detection period; detecting the maximum condensation mass of a preset condensation-prone position in the battery box within the preset detection period; determining the maximum condensation mass in the battery box according to the change in the water content and the maximum condensation mass; and outputting an alarm message according to the maximum condensation mass in the battery box. The present disclosure can accurately determine the maximum condensation mass in the battery box by detecting the change in the water content and the maximum condensation mass of the condensation-prone position, thereby accurately determining the alarm timing for condensation and avoiding excessive condensation that causes damage to the battery box.

Description

Technical Field

[0001] This disclosure relates to the field of battery technology, and in particular to a method, apparatus, electronic device, and storage medium for detecting condensation in a battery box in a vehicle. Background Technology

[0002] Condensation may form inside the battery pack of a vehicle due to temperature changes. Initially, this condensation may not directly cause a malfunction. However, over time, as condensation accumulates on various components inside the battery pack, it can affect the lifespan and performance of these components, and even lead to serious malfunctions such as insulation leakage.

[0003] Therefore, how to accurately detect condensation inside the battery box is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0004] In view of this, the purpose of this disclosure is to provide a method, apparatus, electronic device and storage medium for detecting condensation in a vehicle's battery box, which can specifically solve existing problems.

[0005] Based on the above objectives, in a first aspect, this disclosure proposes a method for detecting condensation in a battery box in a vehicle, comprising: if it is determined that temperature-related information inside the battery box meets preset conditions, detecting the change in water content of a preset volume of gas inside the battery box within a preset detection period; detecting the maximum condensation mass at a preset condensation-prone location inside the battery box within the preset detection period; determining the maximum condensation mass inside the battery box based on the change in water content and the maximum condensation mass; and outputting an alarm message based on the maximum condensation mass inside the battery box.

[0006] Secondly, a condensation detection device for a battery box in a vehicle is also provided, comprising: a first detection unit configured to detect the change in water content of a preset volume of gas in the battery box within a preset detection period if it is determined that temperature-related information within the battery box meets preset conditions; a second detection unit configured to detect the maximum condensation mass at a preset condensation-prone location within the battery box within the preset detection period; a condensation determination unit configured to determine the maximum condensation mass within the battery box based on the change in water content and the maximum condensation mass; and an alarm unit configured to output alarm information based on the maximum condensation mass within the battery box.

[0007] Thirdly, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor running the computer program to implement the method of the first aspect.

[0008] Fourthly, a computer-readable storage medium is also provided, on which a computer program is stored, the program being executed by a processor to implement the method described in any one of the first aspects.

[0009] In summary, this disclosure has at least the following beneficial effects: by detecting changes in the water content inside the battery box and the maximum condensation mass at locations prone to condensation, the maximum condensation mass inside the battery box can be accurately determined, thereby accurately determining the alarm timing for condensation and preventing excessive condensation from causing damage to the battery box. Attached Figure Description

[0010] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the various drawings denote the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in this disclosure and should not be construed as limiting the scope of this disclosure.

[0011] Figure 1 A flowchart of a method for detecting condensation in a battery box in a vehicle according to an embodiment of the present disclosure is shown;

[0012] Figure 2 Another flowchart of a method for detecting condensation in a battery box in a vehicle according to an embodiment of the present disclosure is shown;

[0013] Figure 3 A schematic diagram of a condensation detection device for a battery box in a vehicle according to an embodiment of the present disclosure is shown;

[0014] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure is shown;

[0015] Figure 5 A schematic diagram of a storage medium provided according to an embodiment of the present disclosure is shown. Detailed Implementation

[0016] The present disclosure will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0017] It should be noted that, unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other. This disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0018] Figure 1 The present disclosure illustrates a method for detecting condensation in the battery compartment of a vehicle, which may include the following steps:

[0019] Step S101: If it is determined that the temperature-related information inside the battery box meets the preset conditions, the change in water content of a preset volume of gas inside the battery box is detected within a preset detection period.

[0020] In this embodiment, the execution subject of the condensation detection method for the vehicle's battery box can detect the change in water content of a preset volume of gas in the battery box when it is determined that the temperature-related information inside the battery box meets preset conditions.

[0021] Specifically, the aforementioned executing entity detects the change in moisture content within a preset detection period, and the detection result is the change in moisture content from the start time to the end time of the preset detection period. This preset detection period can be, for example, a preset duration, such as 10 minutes.

[0022] The preset volume can be various, such as the gas volume inside the battery box. In some applications, the gas volume can be calculated using a 3D model. Alternatively, the preset volume can be a unit volume inside the battery box, specifically, 1 cubic meter or 1 cubic centimeter, etc. The gas in this disclosure is generally air.

[0023] The aforementioned implementing entity can determine the change in moisture content using various methods. For example, the implementing entity can obtain the moisture content detection result from a moisture content detector (i.e., a moisture content meter) installed inside the battery box. This moisture content is the saturated water vapor content, measured in g / m³. 3 Then, the aforementioned executing entity can input the detection result into the model and obtain the change in water content output by the model. Specifically, the model is a pre-trained deep neural network that can predict the aforementioned change in water content based on the detection result of the water content detector.

[0024] Step S102: Detect the maximum condensation mass at a preset condensation-prone location inside the battery box within the preset detection period.

[0025] In this embodiment, the aforementioned execution entity can detect the maximum condensation mass at a condensation-prone location within the battery box within a preset detection period. A condensation-prone location refers to a location where condensation is likely to occur; this location is preset or pre-detected.

[0026] In some application scenarios, the preset locations prone to condensation can be at least one of the following: battery cell, electrical box, inside of the box cover, or liquid cooling plate.

[0027] The aforementioned executing entity can use various methods to detect the maximum condensation mass. For example, a moisture content detector can be installed at a condensation-prone location inside the battery box. The executing entity can obtain the detection result from this detector and use the moisture content of a specified volume as the maximum condensation mass. For example, the detection result might be a moisture content of 1000 g / m³. 3 The specified volume is 2dm 3 The aforementioned implementing entity can determine 2dm. 3 That is 2 / 1000m 3 The maximum condensation mass at the preset condensation-prone location is 1000 x g / m³. 3 ×2 / 1000m 3 =2X g is the maximum condensation mass at the preset location prone to condensation.

[0028] Step S103: Determine the maximum condensation mass inside the battery box based on the change in water content and the maximum condensation mass.

[0029] In this embodiment, the execution entity can determine the maximum condensation mass inside the battery box using various methods based on the change in water content obtained in step 101 and the maximum condensation mass obtained in step S102. For example, the execution entity can input the change in water content and the maximum condensation mass into a preset formula or model, and obtain the maximum condensation mass inside the battery box output by the formula or model.

[0030] Step S104: Output alarm information based on the maximum condensation mass inside the battery box.

[0031] In this embodiment, the aforementioned execution entity can output alarm information based on the maximum condensation mass inside the battery box in various ways. For example, the execution entity can send the maximum condensation mass to a preset electronic device, and output alarm information if the alarm indication information fed back by the electronic device is yes.

[0032] This embodiment can accurately determine the maximum condensation mass inside the battery box by detecting changes in the water content and the maximum condensation mass at locations prone to condensation. This allows for accurate determination of the alarm timing regarding condensation, preventing excessive condensation from causing damage to the battery box.

[0033] Figure 2 A method for detecting condensation in the battery box of a vehicle according to an embodiment of this disclosure is shown. Figure 2 As shown, the method includes:

[0034] Step S201: If it is determined that the temperature-related information inside the battery box meets the preset conditions, the change in water content of a preset volume of gas inside the battery box is detected within a preset detection period.

[0035] Step S202: Detect the maximum condensation mass at a preset condensation-prone location inside the battery box within the preset detection period.

[0036] Step S203: The larger of the change in water content and the maximum condensation mass is determined as the maximum condensation mass inside the battery box.

[0037] In this embodiment, the execution entity can compare the change in water content obtained in step S201 and the maximum condensation mass obtained in step S202, and take the larger of the comparison results as the maximum condensation mass in the battery box.

[0038] Step S204: Output alarm information based on the maximum condensation mass inside the battery box.

[0039] In this embodiment, the aforementioned changes in moisture content and the maximum condensation mass at easily condensing locations are theoretically achievable condensation amounts. This embodiment uses the larger of the two values ​​to accurately determine the maximum condensation mass achievable inside the battery box, thus avoiding the problem of the determined condensation mass being less than the actual condensed condensation mass, and improving the accuracy of the alarm.

[0040] In some optional implementations of any embodiment of this disclosure, the temperature-related information includes a preset temperature difference and a temperature change rate. The preset temperature difference is the temperature difference between the air inside the battery box and the condensation-prone location, and the temperature change rate is the rate of temperature change of the air inside the battery box. The preset condition includes at least one of the following: the preset temperature difference is greater than a temperature difference threshold, and the temperature change rate is greater than a change rate threshold. The preset temperature difference is determined by a first mapping relationship, which indicates the correspondence between temperature, humidity, and the preset temperature difference. The temperature change rate is determined by a second mapping relationship, which indicates the correspondence between temperature, humidity, and the temperature change rate.

[0041] Among these optional implementation methods, the preset condition can refer to a preset temperature difference value corresponding to a location prone to condensation being greater than a temperature difference threshold, or the preset condition can refer to a temperature change rate being greater than a change rate threshold.

[0042] Furthermore, both the preset temperature difference and the rate of temperature change here correspond to a decrease in temperature.

[0043] The aforementioned executing entity or other electronic device can acquire the temperature and humidity inside the battery compartment and query the preset temperature difference corresponding to that temperature and humidity in the first mapping relationship. The aforementioned executing entity or other electronic device can also query the temperature change rate corresponding to that temperature and humidity in the second mapping relationship.

[0044] The aforementioned executing entity or other electronic equipment can conduct experiments in advance to determine the preset temperature difference and temperature change rate corresponding to different temperatures and humidity, thereby generating the first mapping relationship and the second mapping relationship.

[0045] These methods can use local temperature changes at locations prone to condensation as a condition for condensation detection, or use overall temperature changes within the battery box as a condition for condensation detection. This allows for different perspectives on whether the battery box needs condensation detection, thus improving the accuracy of determining the timing of condensation detection.

[0046] In some optional implementations of any embodiment of this disclosure, the preset detection period includes a first moment and a last moment; the detection of the change in moisture content of a preset volume of gas in the battery box within the preset detection period includes: determining the moisture content of the air in the battery box at a first temperature as a first moisture content, the first temperature being the battery box temperature corresponding to the first moment; determining the moisture content of the air in the battery box at a second temperature as a second moisture content, the second temperature being the battery box temperature corresponding to the last moment; and determining the difference between the first moisture content and the second moisture content as the change in moisture content of the preset volume of gas in the battery box.

[0047] In these implementations, the first and last moments of the preset detection cycle can be T1 and T2, respectively. The change in water content (m1) of a preset volume of gas (e.g., within the same volume V) in the battery compartment with temperature between moments T1 and T2 can be expressed as:

[0048] m1 = V × A1(t1) - V × A2(t2),

[0049] Where V represents the preset volume of air inside the battery box (e.g., the total volume of air inside the battery box), t1 represents the temperature inside the battery box at time T1, and t2 represents the temperature inside the battery box at time T2. A1(t1) is the saturated water vapor content at temperature t1, and A2(t2) is the saturated water vapor content at temperature t2. Specifically, A1(t1) and A2(t2) can be obtained by looking up the temperature in a temperature-water content correspondence table. V×A can represent the water content, i.e., the condensation amount, when all the water vapor in volume V of air has turned into condensation. The aforementioned t1 and t2 can be obtained by temperature detection using a thermometer installed inside the battery box.

[0050] These methods can accurately obtain the rate of change of water content by measuring the water content at different times.

[0051] In some optional implementations of any embodiment of this disclosure, the preset detection period includes a first moment and a last moment; the detection of the maximum condensation mass at a preset condensation-prone location within the battery box within the preset detection period includes: determining the moisture content of the air inside the battery box at a first temperature as a first moisture content, where the first temperature is the temperature inside the battery box corresponding to the first moment; determining the moisture content of the air inside the battery box at a third temperature as a third moisture content, where the third temperature corresponds to the last moment and is the temperature at the preset condensation-prone location; and determining the difference between the first moisture content and the third moisture content as the maximum condensation mass at the preset condensation-prone location.

[0052] In these optional implementations, the aforementioned execution entity can not only determine the first moisture content corresponding to the first temperature for the entire battery box, but also determine the moisture content at the location prone to condensation, i.e., the third moisture content, at the third temperature.

[0053] Subsequently, the aforementioned implementing entity can determine the difference between the first moisture content and the third moisture content as the maximum condensation mass at the preset condensation-prone location:

[0054] m2=V×A1(t1)-V×A3(t3),

[0055] Where t3 represents the temperature of the preset condensation-prone location at time T2. A3(t3) is the saturated water vapor content at the condensation-prone location at temperature t3. The aforementioned t3 can be obtained by temperature detection using a thermometer installed at the condensation-prone location inside the battery box.

[0056] These implementation methods can determine the amount of condensation that will accumulate at the condensation-prone location if all water vapor in the volume V inside the battery box condenses at the condensation-prone location after the entire preset detection cycle. This allows for the maximum estimation of condensation at the condensation-prone location, avoiding the problem of missing the alarm due to underestimating the condensation quality at the condensation-prone location.

[0057] In some optional implementations of any embodiment of this disclosure, the above-mentioned output of alarm information based on the maximum condensation mass in the battery box includes: determining the magnitude relationship between the maximum condensation mass in the battery box and a condensation mass threshold; and outputting alarm information based on the magnitude relationship.

[0058] In these optional implementations, the aforementioned execution entity can determine the relationship between the maximum condensation mass and the condensation mass threshold within the battery box, and output alarm information based on this relationship in various ways. For example, the execution entity can directly input the relationship into a specified model and obtain information output from that model. This information is used to indicate whether an alarm should be triggered, and the alarm information to be displayed when an alarm is triggered.

[0059] These optional implementations can accurately determine whether the maximum condensation mass meets the alarm conditions by using condensation quality thresholds.

[0060] In some optional application scenarios of these implementation methods, the step of outputting alarm information based on the size relationship may include: if the maximum condensation mass in the battery box is greater than or equal to the condensation mass threshold, then outputting alarm information in real time; if the maximum condensation mass in the battery box is less than the condensation mass threshold, then determining the maximum condensation mass in the battery box in another detection cycle after the preset detection cycle; determining the sum of each maximum condensation mass until the sum is greater than or equal to the condensation mass threshold, then outputting alarm information.

[0061] In these application scenarios, the aforementioned execution entity can directly output alarm information in real time when the maximum condensation quality is high. When the maximum condensation quality is low, it continues to determine the maximum condensation quality for the next detection cycle, thus establishing a cumulative value for the maximum condensation quality. This cumulative value is the sum of all maximum condensation qualities. An alarm information can be output when this cumulative value reaches the condensation quality threshold.

[0062] These application scenarios can output alarm information according to different situations when the relationship between the maximum condensation quality and the condensation quality threshold is different, thereby improving the accuracy of the alarm.

[0063] This disclosure provides a condensation detection device for a battery box in a vehicle. This device is used to perform the condensation detection method for a battery box in a vehicle described in the above embodiments. Figure 3 As shown, the device includes: a first detection unit 301, configured to detect the change in water content of a preset volume of gas in the battery box within a preset detection period if the temperature-related information inside the battery box meets preset conditions; a second detection unit 302, configured to detect the maximum condensation mass at a preset condensation-prone location inside the battery box within the preset detection period; a condensation determination unit 303, configured to determine the maximum condensation mass inside the battery box based on the change in water content and the maximum condensation mass; and an alarm unit 304, configured to output alarm information based on the maximum condensation mass inside the battery box.

[0064] Optionally, determining the maximum condensation mass inside the battery box based on the change in moisture content and the maximum condensation mass includes: determining the larger of the change in moisture content and the maximum condensation mass as the maximum condensation mass inside the battery box.

[0065] Optionally, the temperature-related information includes a preset temperature difference and a temperature change rate. The preset temperature difference is the temperature difference between the air inside the battery box and the location prone to condensation, and the temperature change rate is the rate of temperature change of the air inside the battery box. The preset condition includes at least one of the following: the preset temperature difference is greater than a temperature difference threshold, and the temperature change rate is greater than a change rate threshold. The preset temperature difference is determined through a first mapping relationship, which indicates the correspondence between temperature, humidity, and the preset temperature difference. The temperature change rate is determined through a second mapping relationship, which indicates the correspondence between temperature, humidity, and the temperature change rate.

[0066] Optionally, the preset detection period includes a first moment and a last moment; the detection of the change in moisture content of a preset volume of gas in the battery box within the preset detection period includes: determining the moisture content of the air in the battery box at a first temperature as the first moisture content, where the first temperature is the temperature inside the battery box corresponding to the first moment; determining the moisture content of the air in the battery box at a second temperature as the second moisture content, where the second temperature is the temperature inside the battery box corresponding to the last moment; and determining the difference between the first moisture content and the second moisture content as the change in moisture content of the preset volume of gas in the battery box.

[0067] Optionally, the preset detection period includes a first moment and a last moment; the detection of the maximum condensation mass at a preset condensation-prone location within the battery box within the preset detection period includes: determining the moisture content of the air inside the battery box at a first temperature as the first moisture content, where the first temperature is the temperature inside the battery box corresponding to the first moment; determining the moisture content of the air inside the battery box at a third temperature as the third moisture content, where the third temperature corresponds to the last moment and is the temperature at the preset condensation-prone location; and determining the difference between the first moisture content and the third moisture content as the maximum condensation mass at the preset condensation-prone location.

[0068] Optionally, the step of outputting alarm information based on the maximum condensation mass in the battery box includes: determining the magnitude relationship between the maximum condensation mass in the battery box and a condensation mass threshold; and outputting alarm information based on the magnitude relationship.

[0069] Optionally, the step of outputting alarm information based on the size relationship includes: if the maximum condensation mass in the battery box is greater than or equal to the condensation mass threshold, then outputting alarm information in real time; if the maximum condensation mass in the battery box is less than the condensation mass threshold, then determining the maximum condensation mass in the battery box in another detection cycle after the preset detection cycle; determining the sum of each maximum condensation mass until the sum is greater than or equal to the condensation mass threshold, then outputting alarm information.

[0070] The condensation detection device for the battery box in a vehicle provided in the above embodiments of this disclosure and the condensation detection method for the battery box in a vehicle provided in the embodiments of this disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the applications stored therein.

[0071] This disclosure also provides an electronic device corresponding to the condensation detection method for a battery box in a vehicle provided in the foregoing embodiments, for performing the aforementioned condensation detection method for a battery box in a vehicle. This disclosure is not limiting.

[0072] Please refer to Figure 4 This illustrates a schematic diagram of an electronic device provided by some embodiments of the present disclosure. For example... Figure 4 As shown, the electronic device 40 includes: a processor 400, a memory 401, a bus 402, and a communication interface 403. The processor 400, the communication interface 403, and the memory 401 are connected via the bus 402. The memory 401 stores a computer program that can run on the processor 400. When the processor 400 runs the computer program, it executes the method provided in any of the foregoing embodiments of this disclosure.

[0073] The memory 401 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 403 (which can be wired or wireless), such as the Internet, wide area network, local area network, or metropolitan area network.

[0074] Bus 402 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory 401 is used to store programs. After receiving an execution instruction, the processor 400 executes the program. The condensation detection method for the battery box in a vehicle disclosed in any of the foregoing embodiments of this disclosure can be applied to the processor 400, or implemented by the processor 400.

[0075] The processor 400 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of the processor 400 or by instructions in software form. The processor 400 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this disclosure. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this disclosure can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 401. The processor 400 reads the information in memory 401 and, in conjunction with its hardware, completes the steps of the above method.

[0076] The electronic device provided in this disclosure and the condensation detection method for the battery box in a vehicle provided in this disclosure are based on the same inventive concept and have the same beneficial effects as the methods they employ, operate, or implement.

[0077] This disclosure also provides a computer-readable storage medium corresponding to the condensation detection method for a vehicle battery box provided in the foregoing embodiments. Please refer to... Figure 5 The computer-readable storage medium shown is an optical disc 50, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it executes the condensation detection method for the battery box in a vehicle provided in any of the foregoing embodiments.

[0078] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0079] The computer-readable storage medium provided in the above embodiments of this disclosure and the condensation detection method for the battery box in a vehicle provided in the embodiments of this disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0080] It should be noted that:

[0081] In the foregoing text, the terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in this disclosure is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0082] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this disclosure.

[0083] The embodiments of this disclosure have been described above with reference to the accompanying drawings. These are merely specific implementations of this disclosure, but this disclosure is not limited to the specific implementations described above. The specific implementations described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this disclosure without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this disclosure.

Claims

1. A method for detecting condensation in a vehicle's battery box, characterized in that, include: If it is determined that the temperature-related information inside the battery box meets the preset conditions, the change in water content of a preset volume of gas inside the battery box is detected within a preset detection period. Within the preset detection period, the maximum condensation mass at a preset condensation-prone location inside the battery box is detected. The preset condensation-prone location includes at least one of the following: battery cell, electrical box, inside of the box cover, and liquid cooling plate. The maximum condensation mass inside the battery box is determined based on the change in moisture content and the maximum condensation mass. An alarm message is output based on the maximum condensation mass inside the battery box; The preset detection period includes the first moment and the last moment; The detection of the change in water content of a preset volume of gas inside the battery box within a preset detection period includes: The moisture content of the air inside the battery box at the first temperature is defined as the first moisture content, and the first temperature is the temperature inside the battery box at the earliest moment. The moisture content of the air inside the battery box at the second temperature is defined as the second moisture content, and the second temperature is the temperature inside the battery box corresponding to the last moment. The difference between the first moisture content and the second moisture content is determined as the change in moisture content of the preset volume of gas in the battery box; The detection of the maximum condensation mass at a preset condensation-prone location within the battery box during the preset detection period includes: The moisture content of the air inside the battery box at the first temperature is defined as the first moisture content, and the first temperature is the temperature inside the battery box at the earliest moment. The moisture content of the air inside the battery box at the third temperature is defined as the third moisture content. The third temperature corresponds to the last moment and is the temperature of the preset condensation-prone location. The difference between the first moisture content and the third moisture content is determined as the maximum condensation mass at the preset condensation-prone location.

2. The method according to claim 1, characterized in that, Determining the maximum condensation mass inside the battery box based on the change in moisture content and the maximum condensation mass includes: The larger of the change in moisture content and the maximum condensation mass is determined as the maximum condensation mass inside the battery box.

3. The method according to claim 1, characterized in that, The temperature-related information includes a preset temperature difference and a temperature change rate. The preset temperature difference is the temperature difference between the air inside the battery box and the location prone to condensation. The temperature change rate is the rate of temperature change of the air inside the battery box. The preset conditions include at least one of the following: The preset temperature difference is greater than the temperature difference threshold, and the temperature change rate is greater than the change rate threshold; The preset temperature difference is determined by a first mapping relationship, which indicates the correspondence between temperature, humidity and the preset temperature difference. The temperature change rate is determined by a second mapping relationship, which indicates the correspondence between temperature, humidity and the temperature change rate.

4. The method according to claim 1, characterized in that, The alarm information is output based on the maximum condensation mass inside the battery box, including: Determine the relationship between the maximum condensation mass and the condensation mass threshold inside the battery box; Based on the stated size relationship, an alarm message is output.

5. The method according to claim 4, characterized in that, The step of outputting alarm information based on the size relationship includes: If the maximum condensation mass inside the battery box is greater than or equal to the condensation mass threshold, an alarm message will be output in real time. If the maximum condensation mass inside the battery box is less than the condensation mass threshold, then the maximum condensation mass inside the battery box is determined in another detection cycle after the preset detection cycle. Determine the sum of the maximum condensation masses, and output an alarm message when the sum is greater than or equal to the condensation mass threshold.

6. A condensation detection device for a battery box in a vehicle, characterized in that, The apparatus is used to perform the method as described in any one of claims 1-5, the apparatus comprising: The first detection unit is configured to detect the change in water content of a preset volume of gas in the battery box within a preset detection period if it is determined that the temperature-related information inside the battery box meets preset conditions. The second detection unit is configured to detect the maximum condensation mass at a preset condensation-prone location inside the battery box within the preset detection period. The condensation determination unit is configured to determine the maximum condensation mass inside the battery box based on the change in water content and the maximum condensation mass. The alarm unit is configured to output an alarm message based on the maximum condensation mass inside the battery box.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the method as described in any one of claims 1-5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by a processor to implement the method as described in any one of claims 1-5.

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