A charging module cavity self-adaptive anti-condensation control device

Abstract

The present application relates to a kind of charging module cavity adaptive anti-condensation control device, by real-time acquisition multiple humidity detection values, average humidity value and maximum humidity gradient value are generated based on the multiple humidity detection values, then based on the average humidity value, the maximum gradient value, first preset humidity reference value, first preset gradient reference value, second preset humidity reference value and second preset gradient reference value judge condensation risk level, and based on the condensation risk of determination generates different condensation removal signal, finally based on the different condensation removal signal executes different condensation removal signal corresponding condensation removal action, can realize the dynamic discharge of moisture and condensation inhibition, can effectively prevent the generation of condensation, to realize safety protection.

Description

Technical Field

[0001] This invention relates to the field of condensation control in charging modules, and more specifically, to an adaptive anti-condensation control device for the cavity of a charging module. Background Technology

[0002] Some charging piles use charging modules with IP65 high protection ratings. These modules are completely dustproof, can withstand splashes of water, and prevent water intrusion. However, in high humidity environments, although water is unlikely to enter the module, internal water vapor may condense when the temperature changes, forming condensation on the internal walls, component surfaces, and PCB surfaces, posing a risk of electrical short circuits. Traditional moisture-proof solutions typically use ventilated valve assemblies for dehumidification; that is, once the internal humidity reaches a certain threshold, the ventilated valve assembly opens to dehumidify. However, this solution has the drawback of delayed condensation prediction and the risk of protection failure. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an adaptive anti-condensation control device for the charging module cavity, which can realize the dynamic discharge of moisture, prevent condensation, and achieve safety protection, in order to address the above-mentioned deficiencies of the prior art.

[0004] The technical solution adopted by this invention to solve its technical problem is: constructing a charging module cavity adaptive anti-condensation control device, comprising: The humidity detection module includes multiple humidity sensors located at different sampling positions inside the cavity of the charging module, for real-time acquisition of multiple humidity detection values; The control module is used to generate an average humidity value and a maximum humidity gradient value based on the multiple humidity detection values, and to determine the condensation risk level based on the average humidity value, the maximum gradient value, the first preset humidity reference value, the first preset gradient reference value, the second preset humidity reference value and the second preset gradient reference value, and to generate condensation removal signals corresponding to different levels based on the determined condensation risk level. The condensation removal module performs condensation removal actions corresponding to different condensation removal signals based on the different condensation removal signals.

[0005] In the adaptive anti-condensation control device for the charging module cavity described in this invention, the control module is used to generate an average humidity value and a maximum humidity gradient value based on the plurality of humidity detection values, including: The average humidity value is generated based on the multiple humidity detection values ​​according to the following formula: , in, The values ​​represent average humidity, H1(t), H2(t), ..., Hn (t) represents the plurality of humidity detection values; Multiple humidity gradient values ​​are generated based on the multiple humidity detection values ​​according to the following formula: , in, and These represent the humidity readings at two different sampling locations, M and N. This represents the distance between the two different sampling positions M and N; This represents the humidity gradient value between two different sampling locations M and N; Select the maximum value from the plurality of humidity gradient values. This is the maximum humidity gradient value.

[0006] In the adaptive anti-condensation control device for the charging module cavity of the present invention, the control module is used to generate an average humidity value and a maximum humidity gradient value based on the plurality of humidity detection values, and simultaneously determine the condensation risk level based on the average humidity value, the maximum gradient value, a first preset humidity reference value, a first preset gradient reference value, a second preset humidity reference value, and a second preset gradient reference value, and generate condensation removal signals corresponding to different levels based on the determined condensation risk level, including: When the average humidity value is less than the first preset humidity reference value and the maximum gradient value is less than the first preset gradient reference value, it is determined to be a first risk level and a first condensation removal signal is generated. When the average humidity value is greater than or equal to the first preset humidity reference value, or when the maximum gradient value is greater than or equal to the first preset gradient reference value, it is determined to be a second risk level and a second condensation removal signal is generated. When the average humidity value is greater than the second preset humidity reference value and the maximum gradient value is greater than the second preset gradient reference value, it is determined to be a third risk level and a third condensation removal signal is generated. The third risk level is higher than the second risk level, the second risk level is higher than the first risk level, the second preset humidity benchmark value is greater than the first preset humidity benchmark value, and the second preset gradient benchmark value is greater than the first preset gradient benchmark value.

[0007] In the charging module cavity adaptive anti-condensation control device of the present invention, the condensation removal module includes a vent valve assembly and multiple heating elements; The vent valve assembly is used to maintain a reference opening degree based on the first condensation removal signal; The vent valve assembly is used to maintain a first opening based on the second condensation removal signal; The vent valve assembly is used to close based on the third condensation removal signal, and the plurality of heating devices are used to activate based on the third condensation removal signal to heat according to a set power.

[0008] In the adaptive anti-condensation control device for the charging module cavity of the present invention, the control module is used to calculate the first opening degree based on the PID algorithm;

[0009] in, Indicates the first opening degree. Indicates proportional gain. Indicates integral gain. Represents differential gain. ; This represents the average humidity value. This indicates the target humidity value.

[0010] In the charging module cavity adaptive anti-condensation control device of the present invention, the control module is used to calculate the set power based on the following formula:

[0011] in, This represents the base power consumption value of the heating device, where α represents the power consumption adjustment coefficient. This represents the average humidity value. This represents the first preset humidity reference value.

[0012] In the adaptive anti-condensation control device for the charging module cavity described in this invention, the second preset humidity reference value is 1.2 times or more of the first preset humidity reference value; the reference opening degree is 20%; and the target humidity is 50%RH.

[0013] The adaptive anti-condensation control device for the charging module cavity of the present invention further includes: The temperature detection module includes multiple temperature sensors located at multiple different sampling positions inside the cavity of the charging module, for real-time acquisition of multiple temperature detection values; the sampling position of each temperature sensor corresponds to the sampling position of a humidity sensor to sample the humidity detection value and temperature detection value at the same sampling position. The control module is further configured to calculate the dew point temperature value of each sampling location based on the humidity detection value and the temperature detection value of each sampling location, and when the dew point temperature value of a certain sampling location is less than the dew point condensation value and the humidity detection value of the sampling location is greater than the maximum set humidity value, determine that the risk level of the sampling location is a single-point condensation risk level, and generate a single-point condensation clearance signal.

[0014] In the adaptive anti-condensation control device for the charging module cavity described in this invention, the control module is used to calculate the dew point temperature value based on the Magnus-Tetens formula:

[0015] in, The dew point temperature value is represented by T, the temperature detection value at the sampling location is represented by H, and the humidity detection value at the sampling location is represented by a; a represents the fitting parameter, and b represents the temperature scale constant. The heating device near the sampling location starts heating based on the single-point condensation removal signal.

[0016] In the adaptive anti-condensation control device for the charging module cavity described in this invention, the humidity sensor and the temperature sensor are integrated temperature and humidity sampling chips, and are attached to the top, bottom and adjacent circuit board of the charging module cavity. The multiple heating elements of the condensation removal module are attached to the condensation-sensitive locations of the adjacent circuit board and connectors inside the cavity of the charging module. The vent valve assembly of the condensation removal module includes a vent valve and a drive circuit. The drive circuit is electrically connected to the control module to receive the condensation removal signal. The vent valve is installed on the panel of the charging module and connects to the outside and the cavity of the charging module.

[0017] The charging module cavity adaptive anti-condensation control device of the present invention includes: a humidity detection module, including multiple humidity sensors disposed at multiple different sampling positions inside the cavity of the charging module, for real-time acquisition of multiple humidity detection values; a control module, for generating an average humidity value and a maximum humidity gradient value based on the multiple humidity detection values, and simultaneously determining a condensation risk level based on the average humidity value, the maximum gradient value, a first preset humidity reference value, a first preset gradient reference value, a second preset humidity reference value, and a second preset gradient reference value, and generating condensation removal signals corresponding to different levels based on the determined condensation risk level; and a condensation removal module, for performing condensation removal actions corresponding to different condensation removal signals based on the different condensation removal signals. In this invention, multiple humidity detection values ​​are collected in real time, and an average humidity value and a maximum humidity gradient value are generated based on these values. Then, based on the average humidity value, the maximum gradient value, a first preset humidity reference value, a first preset gradient reference value, a second preset humidity reference value, and a second preset gradient reference value, the condensation risk level is determined. Based on the determined condensation risk level, condensation removal signals corresponding to different levels are generated. Finally, based on the different condensation removal signals, different condensation removal actions corresponding to the signals are executed. This enables dynamic moisture removal and condensation suppression, effectively preventing condensation formation and thus achieving safety protection. Attached Figure Description

[0018] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings: Figure 1 This is a schematic block diagram of a preferred embodiment of the charging module cavity adaptive anti-condensation control device of the present invention; Figure 2 This is a schematic diagram of another preferred embodiment of the charging module cavity adaptive anti-condensation control device of the present invention; Figure 3 This is a schematic diagram of a preferred embodiment of the charging module cavity adaptive anti-condensation control device of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0020] Figure 1 This is a schematic block diagram of a preferred embodiment of the charging module cavity adaptive anti-condensation control device of the present invention. Figure 1 As shown, an adaptive anti-condensation control device for a charging module cavity according to the present invention includes: a humidity detection module 10, a control module 20, and a condensation removal module 30. The humidity detection module 10 includes multiple humidity sensors disposed at multiple different sampling positions inside the cavity of the charging module for real-time acquisition of multiple humidity detection values. The control module 20 is used to generate an average humidity value and a maximum humidity gradient value based on the multiple humidity detection values, and simultaneously determine the condensation risk level based on the average humidity value, the maximum gradient value, a first preset humidity reference value, a first preset gradient reference value, a second preset humidity reference value, and a second preset gradient reference value, and generate condensation removal signals corresponding to different condensation risk levels based on the determined condensation risk levels. The condensation removal module 30 executes condensation removal actions corresponding to different condensation removal signals based on the different condensation removal signals.

[0021] In a preferred embodiment of the present invention, the humidity detection module 10 consists of multiple high-precision humidity sensor arrays distributed at different sampling positions inside the cavity, which monitor the humidity detection values ​​at each sampling position in real time and transmit the multiple humidity detection values ​​back to the control module 20 for data analysis and processing.

[0022] The control module 20 is used to generate an average humidity value and a maximum humidity gradient value based on the multiple humidity detection values. For example, the average humidity value can be generated based on the multiple humidity detection values ​​according to the following formula: , in, The values ​​represent average humidity, H1(t), H2(t), ..., H n (t) represents the plurality of humidity detection values; Multiple humidity gradient values ​​are generated based on the multiple humidity detection values ​​according to the following formula: , in, and These represent the humidity readings at two different sampling locations, M and N. This represents the distance between the two different sampling positions M and N; This represents the humidity gradient value between two different sampling locations M and N; Select the maximum value from the plurality of humidity gradient values. This is the maximum humidity gradient value.

[0023] In a preferred embodiment of the present invention, the control module 20 may be further configured to determine a first risk level and generate a first condensation removal signal when the average humidity value is less than the first preset humidity reference value and the maximum gradient value is less than the first preset gradient reference value; determine a second risk level and generate a second condensation removal signal when the average humidity value is greater than or equal to the first preset humidity reference value or when the maximum gradient value is greater than or equal to the first preset gradient reference value; determine a third risk level and generate a third condensation removal signal when the average humidity value is greater than the second preset humidity reference value and the maximum gradient value is greater than the second preset gradient reference value; wherein the third risk level is higher than the second risk level, the second risk level is higher than the first risk level, the second preset humidity reference value is greater than the first preset humidity reference value, and the second preset gradient reference value is greater than the first preset gradient reference value.

[0024] In a preferred embodiment of the present invention, the condensation removal module 30 includes a vent valve assembly and a plurality of heating elements. The plurality of heating elements are attached to condensation-sensitive locations adjacent to the circuit board and connectors inside the cavity of the charging module. The vent valve assembly includes a vent valve and a drive circuit, the drive circuit being electrically connected to the control module 20 to receive the condensation removal signal. The vent valve is mounted on the panel of the charging module and communicates with the outside environment and the cavity of the charging module. The vent valve assembly is used to maintain a reference opening degree based on the first condensation removal signal; the vent valve assembly is used to maintain a first opening degree based on the second condensation removal signal; the vent valve assembly is used to close based on the third condensation removal signal, and the plurality of heating elements are used to activate based on the third condensation removal signal to heat according to a set power.

[0025] In a preferred embodiment of the present invention, the control module 20 is used to calculate the first opening degree based on a PID algorithm;

[0026] in, Indicates the first opening degree. Indicates proportional gain. Indicates integral gain. Represents differential gain. ; This represents the average humidity value. This indicates the target humidity value.

[0027] In a preferred embodiment of the present invention, the control module 20 is used to calculate the set power based on the following formula:

[0028] in, This represents the base power consumption value of the heating device, where α represents the power consumption adjustment coefficient. This represents the average humidity value. This represents the first preset humidity reference value.

[0029] In this invention, multiple humidity detection values ​​are collected in real time, and an average humidity value and a maximum humidity gradient value are generated based on these values. Then, the condensation risk level is determined simultaneously based on the average humidity value, the maximum gradient value, a first preset humidity reference value, a first preset gradient reference value, a second preset humidity reference value, and a second preset gradient reference value. Based on the determined condensation risk level, condensation removal signals corresponding to different levels are generated. Finally, condensation removal actions corresponding to different condensation removal signals are executed. This enables dynamic moisture removal and condensation suppression, effectively preventing condensation formation and thus achieving safety protection.

[0030] Figure 2 This is a schematic diagram of another preferred embodiment of the charging module cavity adaptive anti-condensation control device of the present invention; Figure 3 This is a schematic diagram of a preferred embodiment of the charging module cavity adaptive anti-condensation control device of the present invention. The following will be combined with... Figures 2-3A preferred embodiment of the adaptive anti-condensation control device for the charging module cavity of the present invention is described in detail below. The adaptive anti-condensation control device for the charging module cavity of the present invention includes: a humidity detection module 10, a control module 20, a condensation removal module 30, and a temperature detection module 40, and is preferably applicable to a 60kW liquid-cooled charging module. The volume of the cavity 2 of the body 1 of the liquid-cooled charging module is 0.05m³. The cavity 2 is equipped with a liquid-cooling pipeline 6 and a power device 7. The liquid-cooling pipeline 6 is used to cool the power device 7. The power device 7 generates a large amount of heat during operation, and the operation of the liquid-cooling system causes the temperature of the cavity 2 to drop rapidly, easily leading to condensation.

[0031] In a preferred embodiment of the present invention, the humidity detection module 10 consists of multiple high-precision humidity sensor arrays distributed at different sampling positions inside the cavity, which monitor the humidity detection values ​​at each sampling position in real time and transmit the multiple humidity detection values ​​back to the control module 20 for data analysis and processing. Similarly, the temperature detection module 40 consists of multiple high-precision temperature sensor arrays distributed at different sampling positions inside the cavity, which monitor the temperature detection values ​​at each sampling position in real time and transmit the multiple temperature detection values ​​back to the control module 20 for data analysis and processing. In this preferred embodiment, the sampling position of each temperature sensor corresponds to the sampling position of a humidity sensor to sample the humidity detection value and temperature detection value at the same sampling position.

[0032] exist Figure 3 In the preferred embodiment shown, the humidity detection module 10 and temperature detection module 40 are constructed using an SHT30 high-precision digital temperature and humidity sensor 3. The sensor has a measurement accuracy of ±0.2℃ (temperature) and ±2%RH (humidity), and a sampling frequency of 3Hz. It is fixedly installed inside the cavity 2 of the charging module near the power device 7. It collects the humidity detection value RH and temperature detection value T at each sampling position inside the cavity 2 of the charging module in real time and transmits them back to the control module 20 for data analysis and processing.

[0033] The condensation removal module 30 includes a vent valve assembly and multiple heating elements. The heating elements may include, for example, a PTC heater 5. The PTC heater 5 is a waterproof ceramic PTC heater with a power rating of 50W, fixedly installed on the top inner wall of the cavity 2, maintaining a safe distance of 8cm from the power device 7 and the liquid cooling pipeline 6 to avoid affecting other components during heating. The control module 20 can be used to adjust the heating power of the PTC heater 5 (adjustment range 0-5W). For example, it can be composed of distributed PTC (Positive Temperature Coefficient) heating elements, which are attached to condensation-sensitive areas such as circuit boards and connectors.

[0034] The vent valve assembly includes a vent valve 8 and a drive circuit. The drive circuit is electrically connected to the control module 20 to receive the condensation removal signal. The vent valve 8 is mounted on the panel 1 of the charging module and connects to the outside environment and the interior of the charging module's cavity 2. The vent valve 8 is a waterproof vent valve, model MV-01, meeting IP65 protection requirements, which can block external moisture and dust from entering while simultaneously enabling air exchange. The drive circuit can be a stepper motor drive circuit, connected to the control module 4 (i.e., Figure 2 The control module 20 and the vent valve 8 are electrically connected, and the opening degree of the vent valve 8 can be adjusted (the opening degree range is 0%-100%) with an adjustment accuracy of 5%. The vent valve is a multi-stage opening vent valve driven by a stepper motor, with a response time ≤1S and the vent valve opening degree K range of 0~100%.

[0035] The inner wall of the cavity 2 of the liquid-cooled charging module body 1 is coated with a 50μm thick polytetrafluoroethylene hydrophobic coating, which can reduce condensation adhesion and accelerate condensation evaporation.

[0036] The control module 20 is used to generate an average humidity value and a maximum humidity gradient value based on the multiple humidity detection values. Simultaneously, it determines the condensation risk level based on the average humidity value, the maximum gradient value, a first preset humidity reference value, a first preset gradient reference value, a second preset humidity reference value, and a second preset gradient reference value. Based on the determined condensation risk level, it generates condensation removal signals corresponding to different levels. The control module 20 is further used to calculate the dew point temperature value at each sampling location based on the humidity detection value and the temperature detection value. When the dew point temperature value at a sampling location is less than the dew point condensation value and the humidity detection value at the sampling location is greater than the maximum set humidity value, the risk level of the sampling location is determined to be a single-point condensation risk level, and a single-point condensation removal signal is generated.

[0037] The working principle and specific working process of the charging module cavity adaptive anti-condensation control device of the present invention are described below.

[0038] The SHT30 high-precision digital temperature and humidity sensor 3 is used for real-time monitoring and data acquisition. The SHT30 high-precision digital temperature and humidity sensor 3 is installed in several locations inside the cavity prone to condensation, such as the top, bottom, and near the circuit board. The humidity values ​​H1(t), H2(t), ..., H3 at these locations inside the cavity are collected in real time. n (t) and temperature detection values ​​T1(t), T2(t), ..., T n (t).

[0039] The control module is used to generate an average humidity value and a maximum humidity gradient value based on the multiple humidity detection values. Simultaneously, it determines the condensation risk level based on the average humidity value, the maximum gradient value, a first preset humidity reference value, a first preset gradient reference value, a second preset humidity reference value, and a second preset gradient reference value, and generates condensation removal signals corresponding to different levels based on the determined condensation risk level. The specific steps are as follows: The control module is configured to generate the average humidity value based on the plurality of humidity detection values ​​according to the following formula: , in, The values ​​represent average humidity, H1(t), H2(t), ..., H n (t) represents the plurality of humidity detection values.

[0040] The control module generates multiple humidity gradient values ​​based on the multiple humidity detection values ​​according to the following formula: , in, and These represent the humidity readings at two different sampling locations, M and N. This represents the distance between the two different sampling positions M and N; This represents the humidity gradient value between two different sampling locations M and N; The control module selects the maximum value from the plurality of humidity gradient values. This is the maximum humidity gradient value.

[0041] Meanwhile, the control module is used to calculate the dew point temperature value based on the Magnus-Tetens formula:

[0042] in, The dew point temperature value is represented by T, the temperature detection value at the sampling location is represented by H, the humidity detection value at the sampling location is represented by a, the fitting parameter is represented by b, and the temperature scale constant is represented by b; for example, a = 17.27 and b = 237.7℃.

[0043] When the average humidity value Less than the first preset humidity reference value (e.g., H) set And the maximum gradient value is less than the first preset gradient reference value (e.g., ▽H). th When the risk level is determined to be the first level, a first condensation removal signal is generated; When the average humidity value Greater than or equal to the first preset humidity reference value (e.g., H). set), or when the maximum gradient value is greater than or equal to the first preset gradient reference value (e.g., ▽H). th When the risk level is determined to be the second level, a second condensation removal signal is generated; When the average humidity value Greater than the second preset humidity reference value (e.g., 1.2H). set When the maximum gradient value is greater than the second preset gradient reference value (e.g., a certain set value, such as a value greater than zero, which indicates that the humidity is continuously rising), it is determined to be the third risk level and a third condensation removal signal is generated. When the humidity value H at a certain sampling location n is detected n (t)≈100%, and the temperature detection value T at sampling location n n (t) < T (n)d If the sampling point is deemed to have a condensation risk, the PTC heating device near the sampling location is activated to break the condensation conditions at that point and eliminate the condensation risk.

[0044] When it is determined to be at the highest risk level (i.e., H) avg (t) <H set And |▽H|<▽H th This indicates that the risk is low at this time, and it is sufficient to maintain the vent valve at the baseline opening (e.g., 20%) to ensure basic ventilation function.

[0045] When it is judged to be at the second risk level (i.e., H) avg (t)≥H set Or |▽H|≥▽H th This indicates a medium-risk situation, requiring adjustment of the vent valve opening K to enhance ventilation. The vent valve is a stepper motor-controlled valve with a precise opening range of 0-100%. The valve also features a built-in waterproof and breathable membrane to prevent backflow of moisture. At this time, the control module 200 uses the received humidity detection value and a PID algorithm to precisely control the first opening K of the vent valve via the stepper motor. The specific calculation method of the PID control algorithm is as follows.

[0046] The control module is used to calculate the first opening degree based on the PID algorithm;

[0047] in, Indicates the first opening degree. Indicates proportional gain. Indicates integral gain. Represents differential gain. ; This represents the average humidity value. This represents the target humidity value. The target humidity H... targetThe default setting is 50%RH.

[0048] When the risk level is determined to be level 3 (i.e., H(t)>1.2Hset and ▽H>0 (humidity continues to rise)), it indicates that the risk of condensation is high. At this time, the vent valve is closed and the PTC heating is started to enter the active dehumidification mode and heat according to the set power.

[0049]

[0050] in, This represents the base power consumption value of the heating device, where α represents the power consumption adjustment coefficient. This represents the average humidity value. This represents the first preset humidity reference value. Here, α is a coefficient for adjusting PTC power consumption based on humidity, which can be determined according to specific experimental results. A larger α results in a higher heating rate, and a smaller α results in a lower heating rate.

[0051] When the humidity value H at a certain sampling location n is detected n (t)≈100%, and the temperature detection value T at sampling location n n (t) < T (n)d If the sampling point is deemed to have a condensation risk, the PTC heating device near the sampling location is activated to break the condensation conditions at that point and eliminate the condensation risk.

[0052] In this invention, multiple humidity detection values ​​are collected in real time, and an average humidity value and a maximum humidity gradient value are generated based on these values. Then, based on the average humidity value, the maximum gradient value, a first preset humidity reference value, a first preset gradient reference value, a second preset humidity reference value, and a second preset gradient reference value, a condensation risk level is determined. Based on the determined condensation risk level, different condensation removal signals are generated for different levels. Finally, different condensation removal actions are executed based on the different condensation removal signals. This achieves dynamic moisture removal and condensation suppression, effectively preventing condensation formation and thus providing safety protection. Furthermore, this invention provides different control schemes for different condensation risks, which not only achieves precise condensation suppression but also prevents device damage caused by improper activation of the condensation removal module, better maintaining the normal operation of the charging module.

[0053] Although the present invention has been described through specific embodiments, those skilled in the art will understand that various modifications and equivalent substitutions can be made to the invention without departing from its scope. Furthermore, various modifications can be made to the invention for specific situations or materials without departing from its scope. Therefore, the present invention is not limited to the specific embodiments disclosed, but should include all embodiments falling within the scope of the claims.

[0054] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A charging module cavity adaptive anti-condensation control device, characterized in that, include: The humidity detection module includes multiple humidity sensors located at different sampling positions inside the cavity of the charging module, for real-time acquisition of multiple humidity detection values; The control module is used to generate an average humidity value and a maximum humidity gradient value based on the multiple humidity detection values, and to determine the condensation risk level based on the average humidity value, the maximum gradient value, the first preset humidity reference value, the first preset gradient reference value, the second preset humidity reference value and the second preset gradient reference value, and to generate condensation removal signals corresponding to different levels based on the determined condensation risk level. The condensation removal module performs condensation removal actions corresponding to different condensation removal signals based on the different condensation removal signals.

2. The adaptive anti-condensation control device for the charging module cavity according to claim 1, characterized in that, The control module is used to generate an average humidity value and a maximum humidity gradient value based on the multiple humidity detection values, including: The average humidity value is generated based on the multiple humidity detection values ​​according to the following formula: ， in, The values ​​represent average humidity, H1(t), H2(t), ..., H n (t) represents the plurality of humidity detection values; Multiple humidity gradient values ​​are generated based on the multiple humidity detection values ​​according to the following formula: ， in, and These represent the humidity readings at two different sampling locations, M and N. This represents the distance between the two different sampling positions M and N; This represents the humidity gradient value between two different sampling locations M and N; Select the maximum value from the plurality of humidity gradient values. This is the maximum humidity gradient value.

3. The adaptive anti-condensation control device for the charging module cavity according to claim 2, characterized in that, The control module is used to generate an average humidity value and a maximum humidity gradient value based on the multiple humidity detection values, and simultaneously determine the condensation risk level based on the average humidity value, the maximum gradient value, a first preset humidity reference value, a first preset gradient reference value, a second preset humidity reference value, and a second preset gradient reference value, and generate condensation removal signals corresponding to different levels based on the determined condensation risk level, including: When the average humidity value is less than the first preset humidity reference value and the maximum gradient value is less than the first preset gradient reference value, it is determined to be a first risk level and a first condensation removal signal is generated. When the average humidity value is greater than or equal to the first preset humidity reference value, or when the maximum gradient value is greater than or equal to the first preset gradient reference value, it is determined to be a second risk level and a second condensation removal signal is generated. When the average humidity value is greater than the second preset humidity reference value and the maximum gradient value is greater than the second preset gradient reference value, it is determined to be a third risk level and a third condensation removal signal is generated. The third risk level is higher than the second risk level, the second risk level is higher than the first risk level, the second preset humidity benchmark value is greater than the first preset humidity benchmark value, and the second preset gradient benchmark value is greater than the first preset gradient benchmark value.

4. The adaptive anti-condensation control device for the charging module cavity according to claim 3, characterized in that, The condensation removal module includes a vent valve assembly and multiple heating elements; The vent valve assembly is used to maintain a reference opening degree based on the first condensation removal signal; The vent valve assembly is used to maintain a first opening based on the second condensation removal signal; The vent valve assembly is used to close based on the third condensation removal signal, and the plurality of heating devices are used to activate based on the third condensation removal signal to heat according to a set power.

5. The adaptive anti-condensation control device for the charging module cavity according to claim 4, characterized in that, The control module is used to calculate the first opening degree based on the PID algorithm; in, Indicates the first opening degree. Indicates proportional gain. Indicates integral gain. Represents differential gain. ; This represents the average humidity value. This indicates the target humidity value.

6. The adaptive anti-condensation control device for the charging module cavity according to claim 5, characterized in that, The control module is used to calculate the set power based on the following formula: in, This represents the base power consumption value of the heating device, where α represents the power consumption adjustment coefficient. This represents the average humidity value. This represents the first preset humidity reference value.

7. The adaptive anti-condensation control device for the charging module cavity according to claim 6, characterized in that, The second preset humidity reference value is 1.2 times or more of the first preset humidity reference value; the reference opening degree is 20%; and the target humidity is 50%RH.

8. The adaptive anti-condensation control device for the charging module cavity according to any one of claims 1 to 7, characterized in that, Further includes: The temperature detection module includes multiple temperature sensors located at multiple different sampling positions inside the cavity of the charging module, for real-time acquisition of multiple temperature detection values; the sampling position of each temperature sensor corresponds to the sampling position of a humidity sensor to sample the humidity detection value and temperature detection value at the same sampling position. The control module is further configured to calculate the dew point temperature value of each sampling location based on the humidity detection value and the temperature detection value of each sampling location, and when the dew point temperature value of a certain sampling location is less than the dew point condensation value and the humidity detection value of the sampling location is greater than the maximum set humidity value, determine that the risk level of the sampling location is a single-point condensation risk level, and generate a single-point condensation clearance signal.

9. The adaptive anti-condensation control device for the charging module cavity according to claim 8, characterized in that, The control module is used to calculate the dew point temperature value based on the Magnus-Tetens formula: in, The dew point temperature value is represented by T, the temperature detection value at the sampling location is represented by H, and the humidity detection value at the sampling location is represented by a; a represents the fitting parameter, and b represents the temperature scale constant. The heating device near the sampling location starts heating based on the single-point condensation removal signal.

10. The adaptive anti-condensation control device for the charging module cavity according to claim 9, characterized in that, The humidity sensor and the temperature sensor are integrated temperature and humidity sampling chips, and are attached to the top, bottom and adjacent circuit board of the charging module cavity. The multiple heating elements of the condensation removal module are attached to the condensation-sensitive locations of the adjacent circuit board and connectors inside the cavity of the charging module. The vent valve assembly of the condensation removal module includes a vent valve and a drive circuit. The drive circuit is electrically connected to the control module to receive the condensation removal signal. The vent valve is installed on the panel of the charging module and connects to the outside and the cavity of the charging module.

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