Charging pile authentication method and system

Abstract

The invention relates to the technical field of charging piles, and discloses a charging pile authentication method and system, and the method comprises the steps: obtaining the maximum rated power, charging voltage, charging current, the number of components, environment temperature, environment humidity and user information of a charging pile; calculating actual charging power based on the charging voltage and the charging current; based on the maximum rated power, the maximum adaptive power of the charging pile is calculated through a charging power adaptive model; based on the environment temperature and the environment humidity, analyzing through a temperature and humidity distribution model to obtain temperature and humidity distribution data of the working component; performing analysis based on the maximum adaptive power, the temperature and humidity distribution data and the working temperature threshold value of the component to obtain the optimal adaptive power; and performing overcurrent protection verification based on the optimal adaptive power, the maximum adaptive power and the actual charging power, and outputting a charging pile authentication result according to a verification result. The method solves the problem of low charging efficiency caused by the change of the temperature and humidity of the environment in the charging process.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to a charging pile authentication method and system. Background Art

[0002] At present, as a key component of electric vehicle charging infrastructure, the installation and application of charging piles are of great significance to the development of the new energy vehicle industry. Charging piles can not only provide the necessary power supplement for electric vehicles, but also change the usage habits of traditional fuel vehicles to a certain extent, and promote the popularization of the concept of green travel. Charging piles are mainly divided into two types: AC charging piles and DC charging piles. They have significant differences in installation location, usage method, charging speed, etc. Charging piles can be connected to the background management system through the network to realize remote monitoring, fault diagnosis, data analysis and other functions, thereby improving the quality and efficiency of charging services.

[0003] In one prior art, charging an electric vehicle using a charging station is a relatively simple and user-friendly process. First, the electric vehicle driver needs to find a suitable charging station, which can be done through the application provided by the charging station operator, which usually displays the location of available charging stations nearby and their status information. After arriving at the charging station, the user needs to verify his identity, which is usually done by swiping a card, scanning a QR code, or using a smartphone application. Once the identity verification is successful, the user can connect the charging gun to the charging port of the vehicle. The operation of AC charging stations and DC charging stations is slightly different, but most modern charging stations are designed with clear indicator lights and screen prompts to guide users through the connection process. For AC charging stations, it usually provides a slower charging speed, which is suitable for parking and charging at night or parking for a long time; while DC charging stations can provide faster charging speeds, which are suitable for the need of fast charging. After the connection is completed, the user can select the charging mode through the charging station's human-machine interface, such as different charging methods such as by amount, by power, or by duration, and start the charging process. During this process, the charging station will display information such as charging status, charged amount, and cost in real time. After charging is completed, the system will automatically stop and deduct the fee from the user's account, and send a notification to the user to inform him that charging is complete.

[0004] However, in the prior art, since the authentication process only considers the issue of charging safety but does not take into account the changes in temperature and humidity of the environment during the charging process, the charging effect is poor, resulting in low charging efficiency. Summary of the invention

[0005] The present invention provides a charging pile authentication method and system to solve the problem that the charging efficiency is low due to changes in the temperature and humidity of the environment during the charging process.

[0006] In a first aspect, in order to solve the above technical problems, the present invention provides a charging pile authentication method, comprising: Obtain the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity, and user information of the charging pile, where the user information includes battery resistance and motor resistance; Calculate the actual charging power based on the charging voltage and the charging current; Based on the maximum rated power, the maximum adaptation power of the charging pile is calculated by a preset charging power adaptation model; Based on the ambient temperature and the ambient humidity, analyzing by a preset temperature and humidity distribution model, obtaining temperature and humidity distribution data of the working components, wherein the temperature and humidity distribution data includes the working temperature and relative humidity; Analyze based on the maximum adaptive power, the temperature and humidity distribution data and the pre-stored operating temperature thresholds of the components to obtain the optimal adaptive power; An overcurrent protection check is performed based on the optimal adaptive power, the maximum adaptive power and the actual charging power, and a charging pile authentication result is output according to the check result.

[0007] In an optional implementation, the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity, and user information of the charging pile are obtained, wherein the user information includes battery resistance and motor resistance, including: Obtain the maximum rated power, charging voltage, charging current and number of components of the charging pile through the pre-stored energy cloud platform; Measure the ambient temperature and humidity with a hygrothermometer; Obtain user information through the preset user authentication platform.

[0008] In an optional implementation, the calculating the actual charging power based on the charging voltage and the charging current includes: The actual charging power is calculated using the following formula: in, Indicates the actual charging power. Indicates the charging voltage, Indicates the charging current.

[0009] In an optional implementation, the maximum adapted power of the charging pile is calculated based on the maximum rated power by a preset charging power adaptation model, including: The preset charging power adaptation model is as follows: in, Indicates the maximum adaptive power, Indicates the maximum rated power, Indicates the charging current, represents the battery resistance, represents the motor resistance, Represents the assumed average efficiency of electric vehicle batteries.

[0010] In an optional implementation, the temperature and humidity distribution data of the working components are obtained by analyzing the ambient temperature and the ambient humidity through a preset temperature and humidity distribution model, wherein the temperature and humidity distribution data includes the working temperature and relative humidity, including: The operating temperature and relative humidity of components are calculated using the following temperature and humidity distribution model: in, Indicates The operating temperature of each component, Indicates the ambient temperature, Indicates the maximum rated power, Indicates the pre-stored The thermal impedance of each component is Indicates the number of components. Indicates the preset ambient temperature sensitivity coefficient, Indicates the preset reference temperature, represents the preset average efficiency of electric vehicle batteries, Relative humidity, Indicates pre-stored Standard humidity at operating temperature, Indicates the ambient humidity.

[0011] In an optional implementation, the analysis based on the maximum adaptive power, the temperature and humidity distribution data, and the pre-stored operating temperature and humidity thresholds of the components to obtain the optimal adaptive power includes: Using the maximum adaptive power as the initial adaptive power; By comparing the temperature and humidity distribution data under the initial adaptive power state with the working temperature and humidity threshold, if the temperature and humidity distribution data exceeds the working temperature and humidity threshold, the initial adaptive power is reduced according to a preset decreasing step size to obtain a new adaptive power; Iteratively comparing the temperature and humidity distribution data under the new adaptive power state with the working temperature and humidity threshold until the temperature and humidity distribution data does not exceed the working temperature and humidity threshold, and taking the new adaptive power at this time as the optimal adaptive power; The adaptive power is updated by the following formula: Among them, the operating temperature and relative humidity of the components are updated by the following formula: in, Indicates the new adapted power. Indicates the maximum rated power, Indicates the charging current, represents the battery resistance, represents the motor resistance, represents the preset average efficiency of electric vehicle batteries, Indicates the preset decrement step size, Indicates the number of decrements, Indicates The operating temperature of each component, Indicates the ambient temperature, Indicates the pre-stored The thermal impedance of each component is Indicates the number of components. Indicates the preset ambient temperature sensitivity coefficient, Indicates the preset reference temperature, Relative humidity, Indicates pre-stored Standard humidity at operating temperature, Indicates the ambient humidity.

[0012] In an optional implementation, the performing of overcurrent protection verification based on the best adapted power, the maximum adapted power and the actual charging power, and outputting a charging pile authentication result according to the verification result, includes: Compare the maximum adaptive power with the actual charging power. If the maximum adaptive power is less than the actual charging power, do not output the optimal adaptive power and determine that the charging pile certification is unqualified. If the maximum adaptive power is greater than or equal to the actual charging power, the optimal adaptive power is output and the charging pile is determined to be qualified for certification.

[0013] In a second aspect, the present invention provides a charging pile authentication system, comprising: The data acquisition module is used to obtain the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity and user information of the charging pile, where the user information includes battery resistance and motor resistance; An actual power calculation module, used to calculate the actual charging power based on the charging voltage and the charging current; A maximum adaptive power calculation module, used to calculate the maximum adaptive power of the charging pile based on the maximum rated power through a preset charging power adaptation model; A temperature and humidity calculation module, used to analyze the ambient temperature and the ambient humidity through a preset temperature and humidity distribution model to obtain temperature and humidity distribution data of the working components, wherein the temperature and humidity distribution data includes working temperature and relative humidity; An optimal adaptive power analysis module, used to analyze based on the maximum adaptive power, the temperature and humidity distribution data and the pre-stored operating temperature threshold of the components to obtain the optimal adaptive power; The output module is used to perform overcurrent protection verification based on the optimal adaptive power, the maximum adaptive power and the actual charging power, and output the charging pile authentication result according to the verification result.

[0014] In a third aspect, the present invention further provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements any one of the above-mentioned charging pile authentication methods when executing the computer program.

[0015] In a fourth aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned charging pile authentication methods.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses a charging pile authentication method, comprising obtaining a maximum rated power, a charging voltage, a charging current, the number of components, an ambient temperature, an ambient humidity and user information of the charging pile, wherein the user information comprises a battery resistance and a motor resistance; calculating the actual charging power based on the charging voltage and the charging current; calculating the maximum adaptation power of the charging pile based on the maximum rated power through a preset charging power adaptation model; analyzing based on the ambient temperature and the ambient humidity through a preset temperature and humidity distribution model to obtain temperature and humidity distribution data of working components, wherein the temperature and humidity distribution data comprises working temperature and relative humidity; analyzing based on the maximum adaptation power, the temperature and humidity distribution data and the pre-stored working temperature thresholds of the components to obtain the optimal adaptation power; performing an overcurrent protection check based on the optimal adaptation power, the maximum adaptation power and the actual charging power, and outputting a charging pile authentication result according to the check result. The present invention calculates the actual charging power and determines the maximum adaptation power by comprehensively considering the hardware parameters, environmental factors and user information of the charging pile, and analyzes the influence of temperature and humidity on the charging pile to determine the optimal adaptation power, performs overcurrent protection verification to ensure the safety of the charging process, and outputs the authentication result, thereby solving the problem of low charging efficiency caused by changes in environmental temperature and humidity during the charging process. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the flow of the authentication method of the charging pile provided by the first embodiment of the present invention; Figure 2 It is a schematic diagram of the structure of the authentication system of the charging pile provided by the second embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Reference Figure 1 The first embodiment of the present invention provides a charging pile authentication method, comprising the following steps: S11, obtaining the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity and user information of the charging pile, wherein the user information includes battery resistance and motor resistance; S12, calculating actual charging power based on the charging voltage and the charging current; S13, based on the maximum rated power, calculating the maximum adaptation power of the charging pile through a preset charging power adaptation model; S14, based on the ambient temperature and the ambient humidity, analyzing by a preset temperature and humidity distribution model to obtain temperature and humidity distribution data of the working components, wherein the temperature and humidity distribution data includes working temperature and relative humidity; S15, analyzing based on the maximum adaptive power, the temperature and humidity distribution data and the pre-stored operating temperature thresholds of components to obtain an optimal adaptive power; S16, performing overcurrent protection verification based on the optimal adaptive power, the maximum adaptive power and the actual charging power, and outputting a charging pile authentication result according to the verification result.

[0020] In step S11, the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity and user information of the charging pile are obtained, wherein the user information includes battery resistance and motor resistance.

[0021] In a specific implementation, the obtaining of the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity, and user information of the charging pile, wherein the user information includes battery resistance and motor resistance, includes: Obtain the maximum rated power, charging voltage, charging current and number of components of the charging pile through the pre-stored energy cloud platform; Measure the ambient temperature and humidity with a hygrothermometer; Obtain user information through the preset user authentication platform.

[0022] Specifically, the relevant technical parameters of the charging pile are first obtained through the pre-stored energy cloud platform, including the maximum rated power, charging voltage, charging current, and the number of components that make up the charging pile. This information is usually stored in a cloud database and can provide performance indicators and hardware configuration details of the charging pile. In order to ensure data accuracy and real-time, the system will automatically connect to the energy cloud platform and extract key parameters from its latest data records.

[0023] Then, choose a location away from direct heat sources, away from strong airflows, at least 1 meter above the ground and away from extreme weather to place the hygrometer to ensure that the collected data can accurately reflect the actual working conditions of the charging pile. The hygrometer has fast response capabilities and high measurement accuracy, and can accurately measure ambient temperature and humidity.

[0024] Finally, the preset user authentication platform is used to obtain specific information about users who are currently using or about to use the charging pile, which mainly includes key electrical characteristic parameters such as battery resistance and motor resistance. The user authentication platform requires users to provide basic information about the corresponding equipment or directly retrieve relevant data from the registered user database. The purpose of this is to better understand the specific needs of the vehicles to be charged, so as to develop a charging strategy that is more suitable for actual application conditions.

[0025] In step S12, the actual charging power is calculated based on the charging voltage and the charging current.

[0026] In a specific implementation, the calculating the actual charging power based on the charging voltage and the charging current includes: The actual charging power is calculated using the following formula: in, Indicates the actual charging power. Indicates the charging voltage, Indicates the charging current.

[0027] Specifically, based on the charging voltage and charging current obtained from the charging pile, the electric power calculation formula is adopted, that is, , and calculate the actual charging power. This process involves accurately measuring the voltage at the output port of the charging pile and the current passing through the load (electric vehicle battery) and uploading them to the pre-stored energy cloud platform. These two parameters are then substituted into the above formula and multiplied directly to obtain the actual charging power provided by the charging pile to the electric vehicle at the current moment. This method can quickly and effectively evaluate the instantaneous performance of the charging pile under working conditions.

[0028] In step S13, based on the maximum rated power, the maximum adaptation power of the charging pile is calculated by a preset charging power adaptation model.

[0029] In a specific implementation, the maximum adapted power of the charging pile is calculated based on the maximum rated power by a preset charging power adaptation model, including: The preset charging power adaptation model is as follows: in, Indicates the maximum adaptive power, Indicates the maximum rated power, Indicates the charging current, represents the battery resistance, represents the motor resistance, Represents the assumed average efficiency of electric vehicle batteries.

[0030] To better understand this process, let's use an example. Assume that the maximum rated power of the charging pile is 60 kW ( ), the average efficiency of electric vehicle batteries is 0.9 ( ), the charging current obtained by real-time monitoring is 80 amperes ( ), the user-supplied battery resistance is 0.01 ohm ( ), the motor resistance is 0.015 ohms ( ). Substitute these values ​​into the charging power adaptation model for calculation: Therefore, under the given conditions, based on the above parameters, the maximum adaptive power of the charging pile is calculated to be 53.84 kW. This means that even if the maximum rated power of the charging pile is 60 kW, after considering the loss of the battery and motor and the efficiency factor, the maximum power that can actually be provided safely and efficiently is 53.84 kW. This precise power control helps to extend battery life, reduce energy waste, and ensure the stable operation of the entire charging system. In addition, in this way, the charging strategy can be dynamically adjusted according to the actual situation to adapt to the needs of different vehicles, further improving the service quality and user experience of the charging station.

[0031] The maximum adaptive power of the charging pile is calculated through a preset charging power adaptation model, ensuring that the charging process is not only efficient but also safe. At the same time, it also takes into account the actual conditions of the electric vehicle battery and motor, avoiding potential problems caused by overload or mismatch, such as overheating, battery damage, etc., thereby protecting electric vehicles and their charging facilities.

[0032] In step S14, based on the ambient temperature and the ambient humidity, a preset temperature and humidity distribution model is used for analysis to obtain temperature and humidity distribution data of the working components, wherein the temperature and humidity distribution data includes the working temperature and relative humidity.

[0033] In a specific implementation, the temperature and humidity distribution data of the working components are obtained by analyzing the ambient temperature and the ambient humidity through a preset temperature and humidity distribution model, wherein the temperature and humidity distribution data includes the working temperature and relative humidity, including: The operating temperature and relative humidity of components are calculated using the following temperature and humidity distribution model: in, Indicates The operating temperature of each component, Indicates the ambient temperature, Indicates the maximum rated power, Indicates the pre-stored The thermal impedance of each component is Indicates the number of components. Indicates the preset ambient temperature sensitivity coefficient, Indicates the preset reference temperature, represents the preset average efficiency of electric vehicle batteries, Relative humidity, Indicates pre-stored Standard humidity at operating temperature, Indicates the ambient humidity.

[0034] Specifically, the preset temperature and humidity distribution model is used to analyze the impact of temperature and humidity in the working environment of the charging pile on the internal components to ensure the safe operation of the charging facility. This is because changes in temperature and humidity can significantly affect the performance and life of electronic components. In particular, high temperature and high humidity conditions can cause components to overheat, accelerate aging, or cause short circuits, while low temperature and low humidity can cause material shrinkage or reduced insulation performance. Therefore, using the temperature and humidity distribution model to accurately predict these parameters can help take appropriate measures to protect the equipment.

[0035] The temperature and humidity distribution model is used to calculate the operating temperature and relative humidity of each component. The expression is as follows: in, Indicates The operating temperature of each component, Indicates the ambient temperature, Indicates the maximum rated power, Indicates the pre-stored The thermal impedance of each component is Indicates the number of components. Indicates the preset ambient temperature sensitivity coefficient, Indicates the preset reference temperature, represents the preset average efficiency of electric vehicle batteries, Relative humidity, Indicates pre-stored Standard humidity at operating temperature, Indicates the ambient humidity.

[0036] To better understand this process, let's use an example to illustrate. Assume that the ambient temperature of the charging pile is ( ), the ambient humidity is ( ), the maximum rated power of the charging pile is ( ), the average battery efficiency is 0.9 ( ), there are 5 main heat generating components in the charging pile ( ), where the thermal impedance of a component is ( ), the environmental temperature sensitivity coefficient is ( ), the reference temperature is set to ( ).

[0037] First calculate the operating temperature of the component: exist The standard saturated humidity is ( ), and then calculate the relative humidity: Therefore, under given conditions, the operating temperature of the component is , and the relative humidity is about Such analysis helps to assess the actual working conditions of the components inside the charging pile and adjust the output power accordingly to ensure that all components can operate normally within a safe temperature and humidity range. In addition, by continuously monitoring and updating this data, the reliability and service life of the charging pile system can be further improved.

[0038] In step S15, an analysis is performed based on the maximum adaptive power, the temperature and humidity distribution data, and the pre-stored operating temperature thresholds of components to obtain an optimal adaptive power.

[0039] In a specific implementation, the analysis based on the maximum adaptive power, the temperature and humidity distribution data, and the pre-stored operating temperature and humidity thresholds of the components to obtain the optimal adaptive power includes: Using the maximum adaptive power as the initial adaptive power; By comparing the temperature and humidity distribution data under the initial adaptive power state with the working temperature and humidity threshold, if the temperature and humidity distribution data exceeds the working temperature and humidity threshold, the initial adaptive power is reduced according to a preset decreasing step size to obtain a new adaptive power; Iteratively comparing the temperature and humidity distribution data under the new adaptive power state with the working temperature and humidity threshold until the temperature and humidity distribution data does not exceed the working temperature and humidity threshold, and taking the new adaptive power at this time as the optimal adaptive power; The adaptive power is updated by the following formula: Among them, the operating temperature and relative humidity of the components are updated by the following formula: in, Indicates the new adapted power. Indicates the maximum rated power, Indicates the charging current, represents the battery resistance, represents the motor resistance, represents the preset average efficiency of electric vehicle batteries, Indicates the preset decrement step size, Indicates the number of decrements, Indicates The operating temperature of each component, Indicates the ambient temperature, Indicates the pre-stored The thermal impedance of each component is Indicates the number of components. Indicates the preset ambient temperature sensitivity coefficient, Indicates the preset reference temperature, Relative humidity, Indicates pre-stored Standard humidity at operating temperature, Indicates the ambient humidity.

[0040] Specifically, the maximum adaptive power is first used as the initial adaptive power. Then, the temperature and humidity distribution data calculated in the previous step S14 is compared with the preset working temperature and humidity thresholds. If the temperature and humidity distribution data exceeds the working temperature and humidity thresholds, the adaptive power needs to be gradually reduced according to a certain decreasing step size, that is, the adaptive power is updated by the following formula: in, Indicates the new adapted power. Indicates the maximum rated power, Indicates the charging current, represents the battery resistance, represents the motor resistance, represents the preset average efficiency of electric vehicle batteries, Indicates the preset decrement step size, Indicates the number of decrements.

[0041] At the same time, calculate the operating temperature and relative humidity of each component again to verify whether it meets the safety requirements. Update the operating temperature and relative humidity of the components using the following formula: in, Indicates the maximum rated power, represents the preset average efficiency of electric vehicle batteries, Indicates the preset decrement step size, Indicates the number of decrements, Indicates The operating temperature of each component, Indicates the ambient temperature, Indicates the pre-stored The thermal impedance of each component is Indicates the number of components. Indicates the preset ambient temperature sensitivity coefficient, Indicates the preset reference temperature, Relative humidity, Indicates the preset Standard humidity at operating temperature, Indicates the ambient humidity.

[0042] The temperature and humidity distribution data under the new adaptive power state is iteratively compared with the working temperature and humidity threshold until the latest temperature and humidity distribution data does not exceed the working temperature and humidity threshold, and the new adaptive power at this time is used as the optimal adaptive power.

[0043] To better illustrate this process, based on the previous example, under given conditions, the maximum adaptable power of the charging pile is calculated as , where the operating temperature of a component is , and the relative humidity is about Assume that the working temperature and humidity thresholds are set as temperature thresholds , humidity threshold At this time, since the operating temperature of the components exceeds the temperature threshold, it is necessary to reduce the adaptation power and perform the first iterative update, in which the preset decrement step size is 0.1.

[0044] The updated new adaptable power is: The operating temperature of the updated components is: exist The standard saturated humidity is ( ), the relative humidity of the updated components is: Now, the temperature and humidity distribution data do not exceed the threshold, so the adapted power is This is the optimal power for the charging pile under this condition. In this way, it can be ensured that the charging pile can operate safely and reliably under various environmental conditions.

[0045] In step S16, an overcurrent protection check is performed based on the optimal adaptive power, the maximum adaptive power and the actual charging power, and a charging pile authentication result is output according to the check result.

[0046] In a specific implementation, the overcurrent protection verification is performed based on the best adaptive power, the maximum adaptive power and the actual charging power, and the charging pile authentication result is output according to the verification result, including: Compare the maximum adaptive power with the actual charging power. If the maximum adaptive power is less than the actual charging power, do not output the optimal adaptive power and determine that the charging pile certification is unqualified. If the maximum adaptive power is greater than or equal to the actual charging power, the optimal adaptive power is output and the charging pile is determined to be qualified for certification.

[0047] Specifically, the previously calculated actual charging power and maximum adaptive power need to be used as reference values. If the maximum adaptive power of the system is less than the actual charging power, this means that the current charging conditions are beyond the range that the system design can safely handle. In this case, even if a theoretically better adaptive power has been calculated, it should not be applied to actual operations, as doing so may cause safety hazards such as overload or overheating. Therefore, in this case, the new optimal adaptive power will not be output, and the charging pile will be judged to have failed the certification, that is, the certification result is unqualified.

[0048] On the contrary, if the current actual charging power does not exceed the maximum adaptive power allowed by the system. At this time, it can be considered that it is safe and feasible to use the optimal adaptive power under the existing conditions. Therefore, the system will output this optimal adaptive power to the charging pile and determine that the charging pile is qualified for certification. This ensures that all operating parameters are within the safe range and avoids any potential hazards caused by exceeding the design limit.

[0049] The above steps provide a final safety check mechanism to ensure that even in a dynamically changing working environment, possible overcurrent conditions can be detected and prevented in a timely manner. In this way, not only can the operational safety of the charging pile be improved, but its service life can also be effectively extended, the failure rate can be reduced, and a more reliable and stable charging service can be provided to users.

[0050] The following describes the working process of the present invention using a relatively common scenario as an example. Figure 1 , a charging pile authentication method, comprising the following steps: In a typical charging pile certification process, a series of key parameters need to be collected first to ensure the safety and efficiency of the charging process. The process begins by obtaining the maximum rated power, charging voltage, charging current and number of components of the charging pile through a pre-stored energy cloud platform. This data is usually stored in a cloud database, and the system automatically connects to the platform and extracts key parameters from the latest data records. For example, suppose a charging pile has a maximum rated power of 60 kilowatts (kW), which means that under ideal conditions, it can provide up to 60 kilowatts of power output.

[0051] Next, in order to understand the actual working conditions of the charging pile, a location away from direct heat sources and strong airflows will be selected to place the hygrometer to ensure that the collected data accurately reflects the surrounding environmental conditions. For example, in an environment with a temperature of 30 degrees Celsius and a humidity of 20.37 grams per cubic meter, the hygrometer can quickly respond and measure the current ambient temperature and relative humidity. Such environmental information is crucial for evaluating the working conditions of the internal components of the charging pile, because changes in temperature and humidity can directly affect the performance and life of electronic equipment.

[0052] At the same time, the preset user authentication platform is used to obtain specific information about users who are currently using or about to use the charging pile, such as key electrical characteristic parameters such as battery resistance and motor resistance. This information helps to better understand the specific needs of the vehicle to be charged, so as to develop a charging strategy that is more suitable for actual application conditions. For example, if the battery resistance provided by the user is 0.01 ohms and the motor resistance is 0.015 ohms, then the influence of these factors needs to be considered when calculating the maximum adaptive power.

[0053] Based on the charging voltage and charging current obtained above, the actual charging power can be calculated using the electric power calculation formula. If the charging voltage of the charging pile is 400 volts (V) and the charging current is 80 amperes (A), the actual charging power is 32 kilowatts (kW). This value reflects the instantaneous power output level provided by the charging pile to the electric vehicle.

[0054] Subsequently, the maximum adaptable power is determined based on the maximum rated power of the charging pile and through a preset charging power adaptation model. This model takes into account a variety of factors, including battery and motor losses, to ensure safe and efficient charging even under non-ideal conditions. According to the example mentioned above, if the average efficiency of the electric vehicle battery is 0.9, the maximum adaptable power of the charging pile is calculated to be 53.84 kilowatts. This means that although the maximum rated power of the charging pile is 60 kilowatts, after taking into account various losses, the maximum safe power that can actually be provided is 53.84 kilowatts.

[0055] Next, the preset temperature and humidity distribution model is used to analyze the impact of temperature and humidity in the working environment of the charging pile on the internal components. Under given environmental conditions, the operating temperature of a component may reach 39 degrees Celsius, and the relative humidity is about 67.81%. By comparing these data with the preset operating temperature and humidity thresholds, it can be determined whether the adaptation power needs to be adjusted to avoid overheating or other potential risks. If it is found that the operating temperature exceeds the set threshold, such as 38 degrees Celsius, then it is necessary to gradually reduce the adaptation power according to a certain decreasing step size until the operating temperature of all components is within a safe range. In this example, after one iteration, the new adaptation power dropped to 48.44 kilowatts, and the operating temperature of the components dropped to 37.83 degrees Celsius. At this time, the temperature and humidity did not exceed the threshold, so 48.44 kilowatts was the optimal adaptation power of the charging pile under this condition.

[0056] The last step is to check the overcurrent protection of the optimal adaptation power, the maximum adaptation power and the actual charging power. If the maximum adaptation power of the system is less than the actual charging power, it means that the current charging conditions have exceeded the range that the design can withstand. At this time, the new optimal adaptation power will not be output, and the charging pile certification will be judged to be unqualified. On the contrary, if the actual charging power does not exceed the maximum adaptation power, then the optimal adaptation power can be safely used for charging, and the charging pile certification will be judged to be qualified. In this example, since the actual charging power of 32 kilowatts is less than the maximum adaptation power of 48.44 kilowatts, the system will output the optimal adaptation power of 48.44 kilowatts and confirm that the charging pile certification is qualified.

[0057] The entire certification process not only ensures that the charging pile can operate safely and reliably under various environmental conditions, but also improves charging efficiency and extends the service life of the equipment by precisely controlling the charging power, ultimately providing users with a more stable and reliable charging experience. This comprehensive and meticulous approach helps build a more robust electric vehicle charging ecosystem and promotes the development and popularization of electric vehicle technology.

[0058] To summarize, the present invention calculates the actual charging power and determines the maximum adaptation power by comprehensively considering the hardware parameters, environmental factors and user information of the charging pile, and analyzes the influence of temperature and humidity on the charging pile to determine the optimal adaptation power, and performs overcurrent protection verification to ensure the safety of the charging process, and outputs the authentication result, thereby solving the problem of low charging efficiency due to changes in environmental temperature and humidity during the charging process.

[0059] Those skilled in the art will appreciate that the embodiments of the present application may provide methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.

[0060] The present application is described with reference to the flowcharts or block diagrams of the methods, systems, and computer program products according to the embodiments of the present application. It should be understood that each process or box in the flowchart or block diagram, as well as the combination of processes or boxes in the flowchart or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart or block diagram. Figure 1 A process or multiple processes or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0061] Reference Figure 2 The second embodiment of the present invention provides a charging pile authentication system, including: The data acquisition module is used to obtain the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity and user information of the charging pile, where the user information includes battery resistance and motor resistance; An actual power calculation module, used to calculate the actual charging power based on the charging voltage and the charging current; A maximum adaptive power calculation module, used to calculate the maximum adaptive power of the charging pile based on the maximum rated power through a preset charging power adaptation model; A temperature and humidity calculation module, used to analyze the ambient temperature and the ambient humidity through a preset temperature and humidity distribution model to obtain temperature and humidity distribution data of the working components, wherein the temperature and humidity distribution data includes working temperature and relative humidity; An optimal adaptive power analysis module, used to analyze based on the maximum adaptive power, the temperature and humidity distribution data and the pre-stored operating temperature threshold of the components to obtain the optimal adaptive power; The output module is used to perform overcurrent protection verification based on the optimal adaptive power, the maximum adaptive power and the actual charging power, and output the charging pile authentication result according to the verification result.

[0062] It should be noted that the charging pile authentication device provided in an embodiment of the present invention is used to execute all the process steps of the charging pile authentication method of the above embodiment, and the working principles and beneficial effects of the two correspond one to one, so they will not be repeated.

[0063] The embodiment of the present invention further provides an electronic device. The electronic device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a charging pile authentication program. When the processor executes the computer program, the steps in the above-mentioned charging pile authentication method embodiments are implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of the modules / units in the above-mentioned device embodiments are realized, such as the authentication module of the charging pile.

[0064] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0065] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. The electronic device may include more or fewer components than the above components, or may combine certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0066] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0067] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0068] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0069] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0070] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A charging pile authentication method, characterized in that: Executed by the controller, including: Obtain the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity, and user information of the charging pile, where the user information includes battery resistance and motor resistance; Calculate the actual charging power based on the charging voltage and the charging current; Based on the maximum rated power, the maximum adaptation power of the charging pile is calculated by a preset charging power adaptation model; Based on the ambient temperature and the ambient humidity, analyzing by a preset temperature and humidity distribution model, obtaining temperature and humidity distribution data of the working components, wherein the temperature and humidity distribution data includes the working temperature and relative humidity; Analyze based on the maximum adaptive power, the temperature and humidity distribution data and the pre-stored operating temperature thresholds of the components to obtain the optimal adaptive power; An overcurrent protection check is performed based on the optimal adaptive power, the maximum adaptive power and the actual charging power, and a charging pile authentication result is output according to the check result.

2. The charging pile authentication method according to claim 1, characterized in that: The obtaining of the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity and user information of the charging pile, wherein the user information includes battery resistance and motor resistance, includes: Obtain the maximum rated power, charging voltage, charging current and number of components of the charging pile through the pre-stored energy cloud platform; Measure the ambient temperature and humidity with a hygrothermometer; Obtain user information through the preset user authentication platform.

3. The charging pile authentication method according to claim 1, characterized in that: The calculating the actual charging power based on the charging voltage and the charging current includes: The actual charging power is calculated using the following formula: in, Indicates the actual charging power. Indicates the charging voltage, Indicates the charging current.

4. The charging pile authentication method according to claim 1, characterized in that: The calculating, based on the maximum rated power, of the maximum adapted power of the charging pile by a preset charging power adaptation model includes: The preset charging power adaptation model is as follows: in, Indicates the maximum adaptive power, Indicates the maximum rated power, Indicates the charging current, represents the battery resistance, represents the motor resistance, Represents the assumed average efficiency of electric vehicle batteries.

5. The charging pile authentication method according to claim 1, characterized in that: Based on the ambient temperature and the ambient humidity, the temperature and humidity distribution data of the working components are obtained by analyzing through a preset temperature and humidity distribution model, wherein the temperature and humidity distribution data includes the working temperature and relative humidity, including: The operating temperature and relative humidity of components are calculated using the following temperature and humidity distribution model: in, Indicates The operating temperature of each component, Indicates the ambient temperature, Indicates the maximum rated power, Indicates the pre-stored The thermal impedance of each component is Indicates the number of components. Indicates the preset ambient temperature sensitivity coefficient, Indicates the preset reference temperature, represents the preset average efficiency of electric vehicle batteries, Relative humidity, Indicates pre-stored Standard humidity at operating temperature, Indicates the ambient humidity.

6. The charging pile authentication method according to claim 1, characterized in that: The analyzing based on the maximum adaptive power, the temperature and humidity distribution data and the pre-stored working temperature and humidity thresholds of the components to obtain the optimal adaptive power includes: Using the maximum adaptive power as the initial adaptive power; By comparing the temperature and humidity distribution data under the initial adaptive power state with the working temperature and humidity threshold, if the temperature and humidity distribution data exceeds the working temperature and humidity threshold, the initial adaptive power is reduced according to a preset decreasing step size to obtain a new adaptive power; Iteratively comparing the temperature and humidity distribution data under the new adaptive power state with the working temperature and humidity threshold until the temperature and humidity distribution data does not exceed the working temperature and humidity threshold, and taking the new adaptive power at this time as the optimal adaptive power; The adaptive power is updated by the following formula: Among them, the operating temperature and relative humidity of the components are updated by the following formula: in, Indicates the new adapted power. Indicates the maximum rated power, Indicates the charging current, represents the battery resistance, represents the motor resistance, represents the preset average efficiency of electric vehicle batteries, Indicates the preset decrement step size, Indicates the number of decrements, Indicates The operating temperature of each component, Indicates the ambient temperature, Indicates the pre-stored The thermal impedance of each component is Indicates the number of components. Indicates the preset ambient temperature sensitivity coefficient, Indicates the preset reference temperature, Relative humidity, Indicates pre-stored Standard humidity at operating temperature, Indicates the ambient humidity.

7. The charging pile authentication method according to claim 1, characterized in that: The overcurrent protection verification is performed based on the best adaptive power, the maximum adaptive power and the actual charging power, and the charging pile authentication result is output according to the verification result, including: Compare the maximum adaptive power with the actual charging power. If the maximum adaptive power is less than the actual charging power, do not output the optimal adaptive power and determine that the charging pile certification is unqualified. If the maximum adaptive power is greater than or equal to the actual charging power, the optimal adaptive power is output and the charging pile is determined to be qualified for certification.

8. A charging pile authentication system, characterized in that: include: The data acquisition module is used to obtain the maximum rated power, charging voltage, charging current, number of components, ambient temperature, ambient humidity and user information of the charging pile, where the user information includes battery resistance and motor resistance; An actual power calculation module, used to calculate the actual charging power based on the charging voltage and the charging current; A maximum adaptive power calculation module, used to calculate the maximum adaptive power of the charging pile based on the maximum rated power through a preset charging power adaptation model; A temperature and humidity calculation module, used to analyze the ambient temperature and the ambient humidity through a preset temperature and humidity distribution model to obtain temperature and humidity distribution data of the working components, wherein the temperature and humidity distribution data includes working temperature and relative humidity; An optimal adaptive power analysis module, used to analyze based on the maximum adaptive power, the temperature and humidity distribution data and the pre-stored operating temperature threshold of the components to obtain the optimal adaptive power; The output module is used to perform overcurrent protection verification based on the optimal adaptive power, the maximum adaptive power and the actual charging power, and output the charging pile authentication result according to the verification result.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a charging pile authentication method as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a charging pile authentication method as described in any one of claims 1 to 7.

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