Intelligent control method and system for charging gun

Abstract

This application relates to an intelligent control method and system for charging guns, belonging to the field of new energy charging technology. The method includes acquiring the temperature detected at the charging gun head; constructing a detection interval, a historical interval, and a comparison interval on a time axis, and analyzing the detection interval and the comparison interval to determine interval similarity; defining the comparison interval corresponding to the largest interval similarity as a similar interval, and constructing a prediction reference interval by using the latter endpoint of the similar interval as the former endpoint, and defining the temperature detected at the charging gun head in the prediction reference interval as the prediction reference temperature; defining an over-limit detection temperature when there is a prediction reference temperature greater than the warning processing temperature, and determining the prediction warning duration based on the time point corresponding to the over-limit detection temperature, and constructing a normal charging period based on the current time point and the prediction warning duration; and adjusting the charging gun charging power by reducing parameters when the normal charging period includes a high-low price switching point. This application has the effect of improving the charging economy for users.

Description

Technical Field

[0001] This application relates to the field of new energy charging technology, and in particular to a method and system for intelligent control of a charging gun. Background Technology

[0002] In the field of electric vehicle charging, the charging gun, as a key component for power transmission, directly affects charging efficiency and safety. Currently, charging guns typically have built-in temperature sensors to monitor the temperature of the gun head and connecting parts in real time to prevent safety hazards caused by overheating. When the temperature exceeds a preset threshold, the charging control system will take protective measures such as reducing power or cutting off power to ensure equipment safety and the stability of the charging process.

[0003] Because the charging power is reduced or shut off only when the temperature exceeds the limit, the system fails to anticipate temperature increases in advance, resulting in a rather random timing of power reduction. For example, if the temperature is normal during peak electricity consumption periods, the charging gun will operate normally; however, if an abnormal temperature is detected during off-peak periods, the charging gun will adjust its power. This means that the charging process cannot be adapted to different electricity price periods, leading to poor charging economy for users and indicating room for improvement. Summary of the Invention

[0004] To improve the charging economy for users, this application provides a smart control method and system for charging guns.

[0005] Firstly, this application provides a smart control method for a charging gun, employing the following technical solution:

[0006] A smart control method for a charging gun includes:

[0007] Obtain the temperature detected by the gun head;

[0008] Construct a detection interval with the current time point as the endpoint and a detection duration of the preset width, and a historical interval with the preset historical duration on the preset time axis;

[0009] A comparison interval with a width equal to the detection duration is constructed within the historical interval, and the similarity between the detection temperature of the probe in the detection interval and the detection temperature of the probe in the comparison interval are analyzed to determine the similarity between the intervals.

[0010] The comparison interval corresponding to the largest interval similarity is defined as the similar interval, and the end point of the similar interval is used as the front point to construct the prediction reference interval. The gun head detection temperature in the prediction reference interval is defined as the prediction reference temperature.

[0011] When there is a predicted reference temperature that is greater than the preset warning processing temperature, an over-limit detection temperature is defined, and the predicted warning duration is determined based on the time point that is closest to the front end of the predicted reference interval as the over-limit detection temperature. A normal charging period is constructed based on the current time point and the predicted warning duration.

[0012] During normal charging periods, when there is a preset high / low price switching point, the charging power of the charging gun will be reduced by a preset adjustment parameter.

[0013] Optionally, after the interval similarity is determined, the intelligent control method for the charging gun further includes:

[0014] Determine whether there exist at least two intervals with the same maximum similarity;

[0015] If there are no two intervals with the same maximum similarity, then the interval corresponding to the maximum interval similarity is defined as the similar interval.

[0016] If there are at least two intervals with the same maximum similarity, then the interval with the maximum similarity is defined as the candidate interval.

[0017] The difference between the probe temperature at each time point in the candidate interval and the probe temperature at the corresponding time point in the detection interval is calculated to determine the single-point difference temperature.

[0018] A single point difference temperature is randomly selected and defined as the primary difference temperature, and the remaining single point difference temperatures are defined as secondary difference temperatures.

[0019] The primary representative parameter is determined by calculation based on the primary difference temperature and all secondary difference temperatures;

[0020] The main difference temperature corresponding to the largest main representative parameter is defined as the representative difference temperature, and a similar temperature difference range is constructed based on the representative difference temperature and the preset similar parameters.

[0021] The internal quantity is determined by counting the minor temperature difference within the similar temperature range, and the candidate range corresponding to the largest internal quantity is defined as the similar range.

[0022] Optionally, once the internal quantity is determined, the intelligent control method for the charging gun may also include:

[0023] Determine whether there exist at least two candidate intervals with the same and largest internal quantity;

[0024] If there are no two candidate intervals with the same and largest internal quantity, then the candidate interval corresponding to the largest internal quantity is defined as a similar interval.

[0025] If there are at least two candidate intervals with the same and largest internal quantity, then the candidate interval corresponding to the largest internal quantity is defined as the waiting interval.

[0026] Within the waiting period, the secondary temperature difference outside the temperature difference range is defined as the external temperature difference, and the external temperature difference is determined based on the external temperature difference and the temperature difference range.

[0027] The mean temperature difference is determined by calculating all external temperature differences, and the waiting interval corresponding to the smallest mean temperature difference is defined as the similarity interval.

[0028] Optionally, after the predicted reference temperature is determined, the intelligent control method for the charging gun further includes:

[0029] The temperature difference weighting coefficient is determined by analyzing the temperature difference at a single point and the conditions inside and outside the temperature difference range that are similar to the temperature difference at the same point.

[0030] The interval adjustment temperature is determined by calculating based on all single-point temperature differences and their corresponding temperature difference weighting coefficients.

[0031] The temperature is adjusted according to the range to update the predicted reference temperature.

[0032] Optionally, after the predicted warning duration is determined, the intelligent control method for the charging gun may also include:

[0033] Obtain internally recharged battery power;

[0034] The difference between the preset required charging volume and the internal charging volume is calculated to determine the waiting charging volume, and the estimated charging time is calculated based on the waiting charging volume and the preset effective charging power.

[0035] Determine whether the predicted warning duration is longer than the expected recharge duration;

[0036] If the predicted warning duration is longer than the expected recharge duration, then a normal charging period will be established;

[0037] If the predicted warning duration is no longer than the expected recharge duration, the original status will be maintained.

[0038] Optionally, it also includes a step for determining the adjustment parameters, which includes:

[0039] The nozzle rising temperature is determined by calculating the difference between the current nozzle detection temperature and the early warning processing temperature.

[0040] The rate of temperature rise is determined by calculation based on the rising temperature of the nozzle and the predicted warning duration.

[0041] The adjustment parameters corresponding to the temperature rise rate and the amount of electricity to be recharged are determined based on the preset adjustment matching relationship.

[0042] Secondly, this application provides an intelligent control system for a charging gun, which adopts the following technical solution:

[0043] A smart control system for a charging gun includes:

[0044] The acquisition module is used to acquire the temperature detected by the gun head;

[0045] The processing module, connected to the acquisition and judgment modules, is used for information storage and processing;

[0046] The judgment module, connected to the acquisition and processing modules, is used for judging information.

[0047] The processing module constructs a detection interval with the current time point as the end point and a detection duration of the preset width, as well as a historical interval with the preset historical duration on the preset time axis;

[0048] The processing module constructs a comparison interval with a width equal to the detection duration in the historical interval, and analyzes the nozzle detection temperature in the detection interval and the nozzle detection temperature in the comparison interval to determine the interval similarity.

[0049] The processing module defines the comparison interval corresponding to the largest interval similarity as the similar interval, and uses the end point of the similar interval as the front point to construct the prediction reference interval, and defines the gun head detection temperature in the prediction reference interval as the prediction reference temperature.

[0050] When the judgment module determines that there is a predicted reference temperature that is greater than the preset warning processing temperature, the processing module defines the over-limit detection temperature, determines the predicted warning duration based on the time point that is closest to the front end of the predicted reference interval as the over-limit detection temperature, and constructs a normal charging period based on the current time point and the predicted warning duration.

[0051] When the judgment module determines that the normal charging period includes a preset high-low price switching point, the processing module will reduce the charging power of the charging gun by a preset adjustment parameter.

[0052] In summary, this application includes at least one of the following beneficial technical effects:

[0053] During the monitoring of the charging gun temperature, the timing of the charging power adjustment can be determined, so that the charging process can be adapted to the grid electricity price, thereby improving the charging economy for users.

[0054] The charging power is adjusted adaptively according to the specific charging conditions of the vehicle, so as to achieve better overall charging effect. Attached Figure Description

[0055] Figure 1This is a flowchart of the intelligent control method for charging guns.

[0056] Figure 2 This is a flowchart of the module for the intelligent control method of the charging gun. Detailed Implementation

[0057] To make the purpose, technical solution, and advantages of this application clearer, the following is combined with Figures 1-2 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0058] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0059] This application discloses an intelligent control method for a charging gun, referring to... Figure 1 The method flow of the intelligent control method for charging gun includes the following steps:

[0060] Step S100: Obtain the temperature detected by the nozzle.

[0061] The temperature detected by the charging gun head is the temperature value obtained by the temperature sensor built into the charging gun head.

[0062] Step S101: Construct a detection interval with the current time point as the end point and a detection duration of the preset width, and a historical interval with the preset historical duration on the preset time axis.

[0063] The time axis is a coordinate axis formed by combining various time points. This coordinate axis points from the time points that have already passed to the time points that have not yet been reached. The time points that have already passed are on the left side of the coordinate axis, and the left side of the coordinate axis is defined as the front side of the time axis. The detection duration is the duration for which data is acquired in advance by the staff for the period of time preceding the current charging. The historical duration is the duration for which data on the historical charging status of the current charging gun can be acquired. By constructing detection intervals and historical intervals, different data can be acquired and analyzed.

[0064] Step S102: Construct a comparison interval with a width equal to the detection duration in the historical interval, and analyze the nozzle detection temperature in the detection interval and the nozzle detection temperature in the comparison interval to determine the interval similarity.

[0065] The comparison interval is a time interval with the same width as the detection interval in the historical interval. At this time, each time point in the comparison interval can correspond one-to-one with each time point in the detection interval. The interval similarity is a numerical value that reflects the degree of similarity of temperature conditions in two intervals. The larger the value, the more similar the temperature conditions are. The interval similarity is calculated by subtracting the probe detection temperatures at each corresponding time point, summing the absolute values, and taking the reciprocal.

[0066] Step S103: Define the comparison interval corresponding to the largest interval similarity as the similar interval, and use the end point of the similar interval as the front point to construct the prediction reference interval, and define the gun head detection temperature in the prediction reference interval as the prediction reference temperature.

[0067] A similarity interval is defined to identify the comparison interval with the highest similarity. The predicted reference interval constructed at this time is the probe detection temperature that may appear at the current time point. Therefore, it is defined as the predicted reference temperature to distinguish different probe detection temperatures, which is convenient for subsequent analysis.

[0068] Step S104: When there is a predicted reference temperature that is greater than the preset warning processing temperature, define the over-limit detection temperature, determine the predicted warning duration based on the time point that is closest to the front end of the predicted reference interval as the over-limit detection temperature, and construct the normal charging period based on the current time point and the predicted warning duration.

[0069] The warning processing temperature is the temperature value set by the staff to determine when the charging gun needs to reduce its power, such as 70℃. When there is a predicted reference temperature higher than the warning processing temperature, it indicates that a power reduction will be required in the future. In this case, the predicted reference temperature higher than the warning processing temperature is defined as the over-limit detection temperature for subsequent analysis. The predicted warning duration is the interval between when the charging gun will need to reduce its power in the future under the current conditions. By taking the current time point as the starting point and the predicted warning duration as the width, the time period during which the charging gun can continue to charge normally can be defined on the time axis, which is the normal charging period.

[0070] Step S105: When the normal charging period includes a preset high-low price switching point, reduce the charging power of the charging gun by a preset adjustment parameter.

[0071] The high-low price switching point is the time when the grid electricity price switches from a high price to a low price, such as 23:00. When the high-low price switching point is included in the normal charging period, it means that the charging cost after the normal charging period is lower than the current cost. Therefore, the power of the charging gun is reduced to reduce the number of vehicles charging when the price is high. At this time, the power reduction can delay the rise in the temperature of the charging gun head, thereby adjusting the high-power charging period to the low-price period and improving the charging economy for users.

[0072] After the interval similarity is determined, the intelligent control method for charging guns also includes:

[0073] Step S200: Determine whether there exist at least two intervals with the same and largest similarity.

[0074] The purpose of this judgment is to determine whether there are multiple matching intervals that meet the requirements, so as to identify similar intervals.

[0075] Step S2001: If there are no two intervals with the same maximum similarity, then the interval corresponding to the maximum interval similarity is defined as the similar interval.

[0076] When there are no two intervals with the same maximum similarity, it means that there is only one matching interval that meets the requirements. In this case, it can be defined as a similar interval.

[0077] Step S2002: If there are at least two intervals with the same and largest similarity, then the interval corresponding to the largest interval similarity is defined as the candidate interval.

[0078] When there are at least two comparison intervals with the same and largest similarity, it indicates that there are multiple comparison intervals that meet the requirements. In this case, they are defined as candidate intervals to identify different comparison intervals for subsequent analysis.

[0079] Step S201: Calculate the difference between the probe temperature at each time point in the candidate interval and the probe temperature at the corresponding time point in the detection interval to determine the single-point difference temperature.

[0080] The difference between the temperature detected by the nozzle of a single-point differential thermometer at two corresponding time points is a relative value.

[0081] Step S202: Randomly select a single-point difference temperature as the primary difference temperature, and define the remaining single-point difference temperatures as secondary difference temperatures.

[0082] Define primary and secondary difference temperatures to distinguish different single-point difference temperatures, which facilitates subsequent analysis.

[0083] Step S203: Calculate and determine the main representative parameter based on the primary difference temperature and all secondary difference temperatures.

[0084] The primary representative parameter is a parameter value that reflects the feasibility of the current primary difference temperature representing all secondary difference temperatures. The larger the value, the more representative it is, that is, the smaller the difference between the primary difference temperature and each secondary difference temperature. The primary representative parameter is determined by adding the absolute values ​​of the differences between the primary difference temperature and each secondary difference temperature and then taking the reciprocal.

[0085] Step S204: Define the main difference temperature corresponding to the largest main representative parameter as the representative difference temperature, and construct a similar temperature difference range based on the representative difference temperature and the preset similar parameters.

[0086] Define a representative difference temperature to identify the point difference temperature that best represents all single-point difference temperatures; the similarity parameter is the maximum difference that is allowed when two difference temperatures are considered to be close to each other, set by the staff; the similar temperature range is the range in which other difference temperatures that are close to the representative difference temperature should be located; the two endpoints of the similar temperature range can be constructed by adding and subtracting the similarity parameter from the representative difference temperature.

[0087] Step S205: Count the secondary difference temperature within the similar temperature difference range to determine the internal quantity, and define the candidate range corresponding to the largest internal quantity as the similar range.

[0088] The internal quantity refers to the number of minor temperature differences within a similar temperature range. The larger this quantity is, the more stable the difference between points in the range, which means higher reliability. Therefore, the candidate range corresponding to the largest internal quantity is defined as the similar range to improve the accuracy of data analysis.

[0089] Once the internal quantity is determined, the intelligent control method for the charging gun also includes:

[0090] Step S300: Determine whether there are at least two candidate intervals with the same internal quantity and the largest possible value.

[0091] The purpose of the judgment is to determine whether there are multiple candidate intervals that meet the requirements, so as to identify the unique similar interval.

[0092] Step S3001: If there are no at least two candidate intervals with the same and largest internal quantity, then the candidate interval corresponding to the largest internal quantity is defined as a similar interval.

[0093] When there are no at least two candidate intervals with the same and largest internal quantity, it means that there is only one candidate interval that meets the requirements. In this case, it can be defined as a similar interval.

[0094] Step S3002: If there are at least two candidate intervals with the same and largest internal quantity, then the candidate interval corresponding to the largest internal quantity is defined as the waiting interval.

[0095] When there are at least two candidate intervals with the same and largest internal quantity, it indicates that there are multiple candidate intervals that meet the requirements. In this case, they are defined as waiting intervals to distinguish different candidate intervals and facilitate further analysis.

[0096] Step S301: In the waiting interval, the secondary difference temperature outside the temperature difference range is defined as the external difference temperature, and the external temperature difference is determined based on the external difference temperature and the temperature difference range.

[0097] External difference temperature is defined to distinguish different secondary difference temperatures for easier subsequent analysis; external temperature interval is the distance between the external difference temperature and the temperature difference range, that is, the distance between the external difference temperature and the nearest value in the temperature difference range.

[0098] Step S302: Calculate the mean temperature difference based on all external temperature differences, and define the waiting interval corresponding to the smallest mean temperature difference as the similarity interval.

[0099] The mean temperature difference is the average of all external temperature differences. The smaller this value, the stronger the data reliability. Therefore, the waiting interval corresponding to the smallest mean temperature difference is defined as the similarity interval to improve the reliability and accuracy of data analysis.

[0100] After the predicted reference temperature is determined, the intelligent control method for the charging gun also includes:

[0101] Step S400: Analyze the temperature difference based on the single-point difference temperature and the situation inside and outside the temperature difference range to determine the temperature difference weighting coefficient.

[0102] The temperature difference weighting coefficient is a parameter value that reflects the importance of the data. The temperature difference weighting coefficient corresponding to the single-point temperature difference within the same temperature difference range is A, and the temperature difference weighting coefficient corresponding to the single-point temperature difference outside the same temperature difference range is B. A is at least ten times B, and the specific value can be set by the staff according to the accuracy requirements of the data.

[0103] Step S401: Calculate and determine the interval adjustment temperature based on all single-point difference temperatures and the corresponding temperature difference weighting coefficients.

[0104] The interval adjustment temperature is the parameter value obtained by averaging the parameter values ​​obtained by multiplying all the single-point difference temperatures by the corresponding temperature difference weighting coefficient, which is the overall temperature deviation between the similar interval and the detection interval.

[0105] Step S402: Adjust the temperature according to the interval to update the predicted reference temperature.

[0106] By adjusting the temperature range and adding the predicted reference temperature, the predicted reference temperature can be updated, thereby improving the accuracy of data analysis.

[0107] After the predicted warning duration is determined, the intelligent control method for charging guns also includes:

[0108] Step S500: Obtain internal recharge capacity.

[0109] The internal charge level is the amount of electricity that has already been charged into the vehicle, which is also the amount of electricity remaining in the vehicle.

[0110] Step S501: Calculate the difference between the preset required recharge amount and the internal recharge amount to determine the waiting recharge amount, and calculate the expected recharge time based on the waiting recharge amount and the preset effective charging power.

[0111] The required charging capacity is the target charging capacity set by the user. Subtracting the internal charging capacity from the required charging capacity gives the current amount of charge that still needs to be added, i.e., the amount waiting to be charged. The effective charging power is the current charging power of the vehicle. Dividing the amount waiting to be charged by the effective charging power determines the time required for the vehicle to charge to the target capacity under the current power, i.e., the estimated charging time.

[0112] Step S502: Determine whether the predicted warning duration is greater than the expected recharge duration.

[0113] The purpose of this assessment is to determine whether the vehicle can complete charging before the power reduction operation.

[0114] Step S5021: If the predicted warning duration is longer than the expected charging duration, then construct a normal charging period.

[0115] When the predicted warning duration is longer than the expected charging duration, it means that the vehicle cannot complete charging before the power reduction operation. In this case, a normal charging period should be constructed to analyze the power reduction situation.

[0116] Step S5022: If the predicted warning duration is not greater than the expected recharge duration, then maintain the original state.

[0117] When the predicted warning duration is longer than the expected charging duration, it means that the vehicle can complete charging before the power reduction operation. In this case, the normal effective charging power can be maintained to continue the charging operation.

[0118] It also includes a step for determining the adjustment parameters, which includes:

[0119] Step S600: Calculate the difference between the current nozzle detection temperature and the warning processing temperature to determine the nozzle rising temperature.

[0120] The nozzle temperature rise is the temperature value required when the nozzle needs to reduce power for processing, which is the value obtained by subtracting the current nozzle detection temperature from the warning processing temperature.

[0121] Step S601: Calculate the temperature rise rate based on the nozzle temperature rise and the predicted warning duration.

[0122] The rate of temperature rise is the predicted rate of overall temperature increase, determined by dividing the temperature rise at the nozzle by the predicted warning duration.

[0123] Step S602: Determine the temperature rise rate and the corresponding adjustment parameters for the amount of electricity to be charged based on the preset adjustment matching relationship.

[0124] Different rates of temperature rise reflect different levels of excess power, and the corresponding adjustment parameters will also be different. Similarly, different amounts of electricity waiting to be charged indicate different charging needs of the vehicle, and the corresponding adjustment parameters will also be different. The adjustment matching relationship between the three is determined by the staff in advance through multiple tests. It is necessary to ensure that the higher the rate of temperature rise, the larger the corresponding adjustment parameter, and the larger the amount of electricity waiting to be charged, the smaller the corresponding adjustment parameter.

[0125] Reference Figure 2 Based on the same inventive concept, embodiments of the present invention provide an intelligent control system for a charging gun, comprising:

[0126] The acquisition module is used to acquire the temperature detected by the gun head;

[0127] The processing module, connected to the acquisition and judgment modules, is used for information storage and processing;

[0128] The judgment module, connected to the acquisition and processing modules, is used for judging information.

[0129] The processing module constructs a detection interval with the current time point as the end point and a detection duration of the preset width, as well as a historical interval with the preset historical duration on the preset time axis;

[0130] The processing module constructs a comparison interval with a width equal to the detection duration in the historical interval, and analyzes the nozzle detection temperature in the detection interval and the nozzle detection temperature in the comparison interval to determine the interval similarity.

[0131] The processing module defines the comparison interval corresponding to the largest interval similarity as the similar interval, and uses the end point of the similar interval as the front point to construct the prediction reference interval, and defines the gun head detection temperature in the prediction reference interval as the prediction reference temperature.

[0132] When the judgment module determines that there is a predicted reference temperature that is greater than the preset warning processing temperature, the processing module defines the over-limit detection temperature, determines the predicted warning duration based on the time point that is closest to the front end of the predicted reference interval as the over-limit detection temperature, and constructs a normal charging period based on the current time point and the predicted warning duration.

[0133] When the judgment module determines that the normal charging period includes a preset high-low price switching point, the processing module will reduce the charging power of the charging gun by a preset adjustment parameter.

[0134] The comparison interval filtering module is used to filter multiple comparison intervals that meet the requirements.

[0135] The candidate range filtering module is used to filter multiple candidate ranges that meet the requirements.

[0136] The predicted reference temperature update module is used to update the predicted reference temperature.

[0137] The charging power control module controls the charging power according to the specific charging conditions;

[0138] The power adjustment module determines the appropriate power based on the temperature rise and charging demand.

[0139] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

Claims

1. A smart control method for a charging gun, characterized in that, include: Obtain the temperature detected by the gun head; Construct a detection interval with the current time point as the endpoint and a detection duration of the preset width, and a historical interval with the preset historical duration on the preset time axis; A comparison interval with a width equal to the detection duration is constructed within the historical interval, and the similarity between the detection temperature of the probe in the detection interval and the detection temperature of the probe in the comparison interval are analyzed to determine the similarity between the intervals. The comparison interval corresponding to the largest interval similarity is defined as the similar interval, and the end point of the similar interval is used as the front point to construct the prediction reference interval. The gun head detection temperature in the prediction reference interval is defined as the prediction reference temperature. When there is a predicted reference temperature that is greater than the preset warning processing temperature, an over-limit detection temperature is defined, and the predicted warning duration is determined based on the time point that is closest to the front end of the predicted reference interval as the over-limit detection temperature. A normal charging period is constructed based on the current time point and the predicted warning duration. When the normal charging period includes a preset high-low price switching point, the charging power of the charging gun will be reduced by a preset adjustment parameter. After the interval similarity is determined, the intelligent control method for charging guns also includes: Determine whether there exist at least two intervals with the same maximum similarity; If there are no two intervals with the same maximum similarity, then the interval corresponding to the maximum interval similarity is defined as the similar interval. If there are at least two intervals with the same maximum similarity, then the interval with the maximum similarity is defined as the candidate interval. The difference between the probe temperature at each time point in the candidate interval and the probe temperature at the corresponding time point in the detection interval is calculated to determine the single-point difference temperature. A single point difference temperature is randomly selected and defined as the primary difference temperature, and the remaining single point difference temperatures are defined as secondary difference temperatures. The primary representative parameter is determined by calculation based on the primary difference temperature and all secondary difference temperatures; The main difference temperature corresponding to the largest main representative parameter is defined as the representative difference temperature, and a similar temperature difference range is constructed based on the representative difference temperature and the preset similar parameters. The internal quantity is determined by counting the minor difference temperature within the similar temperature difference range, and the candidate range corresponding to the largest internal quantity is defined as the similar range. Once the internal quantity is determined, the intelligent control method for the charging gun also includes: Determine whether there exist at least two candidate intervals with the same and largest internal quantity; If there are no two candidate intervals with the same and largest internal quantity, then the candidate interval corresponding to the largest internal quantity is defined as a similar interval. If there are at least two candidate intervals with the same and largest internal quantity, then the candidate interval corresponding to the largest internal quantity is defined as the waiting interval. Within the waiting period, the secondary temperature difference outside the temperature difference range is defined as the external temperature difference, and the external temperature difference is determined based on the external temperature difference and the temperature difference range. The mean temperature difference is determined by calculating all external temperature differences, and the waiting interval corresponding to the smallest mean temperature difference is defined as the similarity interval.

2. The intelligent control method for a charging gun according to claim 1, characterized in that, After the predicted reference temperature is determined, the intelligent control method for the charging gun also includes: The temperature difference weighting coefficient is determined by analyzing the temperature difference at a single point and the conditions inside and outside the temperature difference range that are similar to the temperature difference at the same point. The interval adjustment temperature is determined by calculating based on all single-point temperature differences and their corresponding temperature difference weighting coefficients. The temperature is adjusted according to the range to update the predicted reference temperature.

3. The intelligent control method for a charging gun according to claim 1, characterized in that, After the predicted warning duration is determined, the intelligent control method for charging guns also includes: Obtain internally recharged battery power; The difference between the preset required charging volume and the internal charging volume is calculated to determine the waiting charging volume, and the estimated charging time is calculated based on the waiting charging volume and the preset effective charging power. Determine whether the predicted warning duration is longer than the expected recharge duration; If the predicted warning duration is longer than the expected recharge duration, then a normal charging period will be established; If the predicted warning duration is no longer than the expected recharge duration, the original status will be maintained.

4. The intelligent control method for a charging gun according to claim 3, characterized in that, It also includes a step for determining the adjustment parameters, which includes: The nozzle rising temperature is determined by calculating the difference between the current nozzle detection temperature and the early warning processing temperature. The rate of temperature rise is determined by calculation based on the rising temperature of the nozzle and the predicted warning duration. The adjustment parameters corresponding to the temperature rise rate and the amount of electricity to be recharged are determined based on the preset adjustment matching relationship.

5. A charging gun intelligent control system, used to implement the charging gun intelligent control method as described in any one of claims 1-4, characterized in that, include: The acquisition module is used to acquire the temperature detected by the gun head; The processing module, connected to the acquisition and judgment modules, is used for information storage and processing; The judgment module, connected to the acquisition and processing modules, is used for judging information. The processing module constructs a detection interval with the current time point as the end point and a detection duration of the preset width, as well as a historical interval with the preset historical duration on the preset time axis; The processing module constructs a comparison interval with a width equal to the detection duration in the historical interval, and analyzes the nozzle detection temperature in the detection interval and the nozzle detection temperature in the comparison interval to determine the interval similarity. The processing module defines the comparison interval corresponding to the largest interval similarity as the similar interval, and uses the end point of the similar interval as the front point to construct the prediction reference interval, and defines the gun head detection temperature in the prediction reference interval as the prediction reference temperature. When the judgment module determines that there is a predicted reference temperature that is greater than the preset warning processing temperature, the processing module defines the over-limit detection temperature, determines the predicted warning duration based on the time point that is closest to the front end of the predicted reference interval as the over-limit detection temperature, and constructs a normal charging period based on the current time point and the predicted warning duration. When the judgment module determines that the normal charging period includes a preset high-low price switching point, the processing module will reduce the charging power of the charging gun by a preset adjustment parameter.

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