A control system and method for a split charging pile

Abstract

The present invention relates to the field of charging pile control technology, and specifically discloses a control system and method for a split charging pile, S1, electrically connecting a charging terminal to a new energy vehicle, and obtaining charging parameters of the new energy vehicle through a communication protocol; S2, after receiving a charging start signal, a charging pile control host outputs a corresponding charging voltage and current according to the obtained charging parameters; S3, during the charging process, a collection module collects charging environment information, charging vehicle status information and charging pile status information; the present invention monitors the charging process of the charging pile through the collected multi-directional data such as the charging pile status, charging environment and charging vehicle status, avoids the limitations of the monitoring process of a single parameter, improves the timeliness and effectiveness of early warning when charging abnormalities occur during the charging process, and eliminates potential safety hazards during the charging process of the charging pile.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile control, and in particular to a control system and method for a split-type charging pile. Background Art

[0002] With the development of new energy vehicles, electric vehicles are gradually replacing traditional fuel vehicles and are widely used in people's daily life and production. Charging piles that provide power supplement for electric vehicles have gradually become a new type of infrastructure construction. A split charging pile is a charging pile with a charging terminal and a charging gun separated. The charging terminal is integrated on the charging host, and the charging gun is integrated on the charging pile terminal. Before charging the electric vehicle, the traditional split charging pile usually obtains the charging requirements of the new energy vehicle to be charged through a communication protocol, and adjusts the output power of the charging host according to the charging requirements. In the process of charging the electric vehicle, the electric vehicle is charged according to the adjusted output power. During the charging process, in order to improve the safety of charging, the temperature, voltage, current and other parameters of the battery of the charged vehicle are mostly monitored. When any parameter value exceeds the preset warning value, it indicates that a charging failure has occurred and charging is stopped.

[0003] Although this method of monitoring a single parameter of the battery of a charging vehicle can improve the safety of charging to a certain extent, the monitoring process often only sends an alarm when the monitoring parameter reaches the preset warning value. The monitoring method is relatively single and limited. When the temperature rises rapidly but has not reached the threshold, it may not be identified and warned in time, or when smoke appears in the charging environment and a fire may occur, it may not be identified and warned in time, which poses certain safety hazards. Summary of the invention

[0004] The purpose of the present invention is to provide a control system and method for a split charging pile to solve the following technical problems:

[0005] The problem of how to comprehensively monitor the charging status through multiple parameters.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A control method for a split-type charging pile, the method comprising:

[0008] S1. Electrically connect the charging terminal to the new energy vehicle and obtain the charging parameters of the new energy vehicle through the communication protocol;

[0009] S2. After receiving the charging start signal, the charging pile control host outputs the corresponding charging voltage and current according to the acquired charging parameters;

[0010] S3. During the charging process, the collection module collects the charging environment information, the charging vehicle status information and the charging pile status information;

[0011] S4, the analysis and monitoring module analyzes the collected information at a preset frequency to determine whether there is an abnormality in the charging process of the new energy vehicle. If there is an abnormality, a stop charging signal and an abnormality warning signal are generated;

[0012] S5. The charging pile control host executes the stop charging signal and abnormal warning signal.

[0013] Furthermore, the acquisition module includes:

[0014] Environmental collection module, used to collect various environmental parameters around the charging pile;

[0015] Charging pile status acquisition module, used to collect various status parameters inside the charging pile;

[0016] The vehicle status acquisition module is used to collect various status parameters of the charging vehicle.

[0017] In one embodiment, the process of determining whether there is an abnormality during the charging process of the new energy vehicle includes:

[0018] S41, analyzing the state parameters of the charging vehicle at different charging stages through the monitoring module to obtain a charging state deviation reference value;

[0019] S42, analyzing the state parameters of the charging vehicle, the state parameters inside the charging pile, and the environmental parameters around the charging pile through the monitoring module to obtain a charging state temperature anomaly coefficient;

[0020] S43, performing a comprehensive analysis on the charging state deviation reference value and the charging state temperature anomaly coefficient through the monitoring module to obtain a charging anomaly characteristic value;

[0021] S44: Compare the charging abnormality characteristic value with the preset warning abnormality characteristic value, and if the charging abnormality characteristic value is greater than or equal to the preset warning abnormality characteristic value, generate a charging stop signal and an abnormality warning signal.

[0022] Further, in step S41, the different charging stages include:

[0023] In the constant current stage, the charger maintains a constant charging current and the battery voltage rises rapidly;

[0024] In the constant voltage stage, the charger maintains a fixed charging voltage, the battery voltage rises slowly, and the charging current gradually decreases;

[0025] During the floating charge stage, the charger continues to charge at a small current to maintain the battery in optimal condition.

[0026] Furthermore, the process of obtaining the charge state deviation reference value includes:

[0027] Q c =W c,i *τ i (1)

[0028]

[0029] The charge state deviation reference value Q is obtained by analyzing and calculating formulas (1)-(4) c ;

[0030] Among them, W c,i is the state deviation characteristic value during the charging process of the i-th charging stage, τ i is the deviation correction coefficient corresponding to the i-th charging stage, U c is the voltage deviation characteristic value during the preset time period during the charging process, U s (t) is the actual charging voltage curve of the charging vehicle over time, U std (t) is the theoretical charging voltage curve of the charging vehicle over time, V c is the current deviation characteristic value in the preset time period during the charging process, V s (t) is the actual charging current curve of the charging vehicle over time, V std (t) is the curve of the theoretical charging current of the charging vehicle changing with time, and is the weight coefficient corresponding to the influencing factor of the charging state deviation in the i-th charging stage.

[0031] Furthermore, the process of obtaining the charging state temperature anomaly coefficient includes:

[0032] Z c =E c *ω1+R c *ω2+exp(D c (t2))*ω3 (5)

[0033]

[0034] R c =T1'(t2)*δ1+T2'(t2)*δ2 (7)

[0035]

[0036] The temperature anomaly coefficient Z of the charging state is obtained by analyzing and calculating the formula (5)-(9) c ;

[0037] Among them, E cis the temperature excess coefficient, R c is the temperature change abnormality parameter, D c (t2) is the smoke concentration value near the charging pile at time node t2, ω1, ω2, ω3 are the weight coefficients corresponding to the temperature anomaly influencing factors, T1(t2) is the temperature of the battery inside the charging vehicle at time node t2, T 1,std is the preset maximum rated temperature of the battery inside the charging vehicle, T2(t2) is the internal temperature of the charging pile at time node t2, T 2,std is the preset maximum rated temperature inside the charging pile, σ1 and σ2 are the weight coefficients corresponding to the factors affecting the temperature excess coefficient, T1′(t2) is the temperature change rate of the battery temperature inside the charging vehicle at the time node t2 of the time change curve T1(t), T2′(t2) is the temperature change rate of the temperature inside the charging pile at the time node t2 of the time change curve T2(t), δ1 is the heat dissipation parameter of the battery inside the charging vehicle in this environment, δ2 is the heat dissipation parameter of the temperature inside the charging pile in this environment, T3(t2) is the ambient temperature of the charging pile at the time node t2, f(t2) is the air circulation speed around the charging pile at the time node t2, α1 is the corrected heat dissipation coefficient of the battery inside the charging vehicle, and α2 is the corrected heat dissipation coefficient inside the charging pile.

[0038] Furthermore, the process of obtaining the charging abnormality characteristic value includes:

[0039] H c =Q c *μ1+Z c *μ2 (10)

[0040] The charging abnormality characteristic value H is obtained by analyzing and calculating the formula (10): c ;

[0041] Among them, μ1 and μ2 are the weight coefficients corresponding to the factors affecting charging abnormality.

[0042] A control system for a split-type charging pile, the system adopts a control method for a split-type charging pile, and the system comprises:

[0043] Charging terminal, used to charge new energy vehicles and exchange information with charging vehicles;

[0044] The acquisition module includes an environment acquisition module, a vehicle status acquisition module and a charging pile status acquisition module. The environment acquisition module is used to acquire charging environment information, the vehicle status acquisition module is used to acquire charging vehicle status information, and the charging pile status acquisition module is used to acquire charging pile status information;

[0045] The analysis and monitoring module analyzes the various information collected by the collection module to determine whether there is any abnormality in the charging process of the charging terminal for the new energy vehicle;

[0046] The charging pile control host is used to execute the charging start signal, charging stop signal, and abnormal warning signal.

[0047] Beneficial effects of the present invention:

[0048] (1) The present invention monitors the charging process of the charging pile by collecting multi-directional data such as the charging pile status, charging environment and charging vehicle status, avoiding the limitations of monitoring a single parameter, and can comprehensively analyze various abnormal information that may occur during the charging process, thereby improving the timeliness and effectiveness of early warning when charging abnormalities occur during the charging process and eliminating potential safety hazards during the charging process of the charging pile.

[0049] (2) The present invention intelligently adjusts the preset frequency during the execution of the control method according to the charging status, thereby reducing the computing power required during the execution of the control method. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] Figure 1 It is a flow chart of the steps of a control method of a split-type charging pile proposed by the present invention;

[0052] Figure 2 It is a flowchart of step S4 in a control method of a split-type charging pile proposed by the present invention;

[0053] Figure 3 It is a schematic block diagram of a control system of a split-type charging pile proposed by the present invention. DETAILED DESCRIPTION

[0054] 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.

[0055] See also Figure 1-Figure 2 As shown, in one embodiment, a control method for a split-type charging pile is provided, the method comprising:

[0056] S1. Electrically connect the charging terminal to the new energy vehicle and obtain the charging parameters of the new energy vehicle through the communication protocol;

[0057] S2. After receiving the charging start signal, the charging pile control host outputs the corresponding charging voltage and current according to the acquired charging parameters;

[0058] S3. During the charging process, the collection module collects the charging environment information, the charging vehicle status information and the charging pile status information;

[0059] The acquisition module includes: an environment acquisition module for acquiring various environmental parameters around the charging pile; a charging pile state acquisition module for acquiring various state parameters inside the charging pile; and a vehicle state acquisition module for acquiring various state parameters of the charging vehicle;

[0060] S4, the analysis and monitoring module analyzes the collected information at a preset frequency to determine whether there is an abnormality in the charging process of the new energy vehicle. If there is an abnormality, a stop charging signal and an abnormality warning signal are generated;

[0061] S5. The charging pile control host executes the stop charging signal and abnormal warning signal.

[0062] Through the above technical method, this embodiment provides a control method for a split charging pile. First, the charging terminal and the new energy vehicle are electrically connected, and the charging parameters of the new energy vehicle are obtained through the communication protocol. The charging parameters include battery type, rated voltage, rated capacity, remaining power, maximum charging current, maximum charging voltage, charging temperature range, etc. The communication protocol can be transmitted through the physical connection between the charging terminal and the new energy vehicle, or through the wireless communication module of the charging pile host and the new energy vehicle. Then, after receiving the start charging signal, the charging pile control host outputs the corresponding charging voltage and current according to the acquired charging parameters. The start charging signal can be automatically generated after receiving the vehicle charging parameters, or it can be manually sent by the user through the human-computer interaction interface of the charging pile, or it can be sent to the charging pile control host by the user through the mobile phone APP remote platform. During the charging process, the environment acquisition module collects the environmental parameters around the charging pile, and the environmental parameters include ambient temperature, smoke concentration, ambient ventilation efficiency, etc. The charging pile state acquisition module collects the state parameters inside the charging pile, and the state parameters of the charging pile include output voltage, output current and internal charging pile. Temperature, etc. The vehicle status acquisition module collects the status parameters of the charging vehicle. The status parameters of the charging vehicle include the charging battery voltage, input current and charging battery temperature, etc. In general, the vehicle status acquisition module is the battery management system of the charging vehicle. The collected data is transmitted to the charging pile control host through the communication protocol, and then the analysis and monitoring module installed in the charging pile control host analyzes the collected information at a preset frequency to determine whether there is an abnormality in the charging process of the new energy vehicle. If there is an abnormality, a stop charging signal and an abnormal warning signal are generated. The charging pile control host executes the stop charging signal to stop charging the new energy vehicle, and executes the abnormal warning signal to notify the management personnel or users. This method of charging control for the split charging pile can monitor the charging process of the charging pile through the collected multi-directional data such as the charging pile status, charging environment and charging vehicle status, avoiding the limitations of the monitoring process of a single parameter, and can comprehensively analyze various abnormal information that may occur in the charging process, thereby improving the timeliness and effectiveness of the warning when charging abnormalities occur during the charging process, and eliminating the potential safety hazards in the charging process of the charging pile.

[0063] In one embodiment, the process of determining whether there is an abnormality during the charging process of the new energy vehicle includes:

[0064] S41. Analyze the state parameters of the charging vehicle at different charging stages through the monitoring module to obtain a charging state deviation reference value, wherein the different charging stages include: a first stage, a constant current stage, in which the charger maintains a constant charging current, and the battery voltage rises rapidly. When the battery voltage rises to a preset value, it enters a second stage, a constant voltage stage, in which the charger maintains a fixed charging voltage, the battery voltage rises slowly, and the charging current gradually decreases. When the charging current drops to a preset value, it enters a third stage, a floating charge stage, in which the charger continues to charge with a small current to maintain the best state of the battery;

[0065] The process of obtaining the charge state deviation reference value includes:

[0066] Q c =W c,i *τ i (1)

[0067]

[0068]

[0069] The charge state deviation reference value Q is obtained by analyzing and calculating formulas (1)-(4) c ;

[0070] Wherein, [t1, t2] is a preset time period, which can be in any charging stage, i∈[1,3], W c,i is the state deviation characteristic value during the charging process of the i-th charging stage, τ i is the deviation correction coefficient corresponding to the i-th charging stage, which is obtained based on experience. c is the voltage deviation characteristic value during the preset time period during the charging process, U s (t) is the actual charging voltage curve of the charging vehicle over time, which can be obtained by modeling the real-time battery voltage data transmitted from the battery management system of the charging vehicle to the charging pile control host. std (t) is the curve of the theoretical charging voltage of the charging vehicle changing with time, which can be obtained by bringing the battery type, rated voltage, rated capacity, remaining power and other data transmitted from the battery management system of the charging vehicle to the charging pile control host into the analysis model. The analysis model can be provided by the battery manufacturer or obtained from the corresponding battery monitoring experiment. V c is the current deviation characteristic value in the preset time period during the charging process, V s (t) is the actual charging current curve of the charging vehicle over time, which can be generated by modeling the real-time battery current data transmitted from the battery management system of the charging vehicle to the charging pile control host. V std(t) is the curve of the theoretical charging current of the charging vehicle changing with time, which can be obtained by bringing the battery type, rated voltage, rated capacity, remaining power and other data transmitted from the battery management system of the charging vehicle to the charging pile control host into the analysis model. The analysis model can be provided by the battery manufacturer or obtained from the corresponding battery monitoring experiment. and is the weight coefficient corresponding to the influencing factor of the charging state deviation at the i-th charging stage, which can be obtained according to the experiments on the influencing factors of the charging state deviation at different charging stages;

[0071] S42, analyzing the state parameters of the charging vehicle, the state parameters inside the charging pile, and the environmental parameters around the charging pile through the monitoring module to obtain a charging state temperature anomaly coefficient;

[0072] The process of obtaining the temperature anomaly coefficient of the charging state includes:

[0073] Z c =E c *ω1+R c *ω2+exp(D c (t2))*ω3 (5)

[0074]

[0075] R c =T1'(t2)*δ1+T2'(t2)*δ2 (7)

[0076]

[0077] The temperature anomaly coefficient Z of the charging state is obtained by analyzing and calculating the formula (5)-(9) c ;

[0078] Among them, E c is the temperature excess coefficient, R c is the temperature change abnormality parameter, D c (t2) is the smoke concentration value near the charging pile at time t2, which can be obtained through the smoke sensor in the environment acquisition module. ω1, ω2, and ω3 are the weight coefficients corresponding to the temperature anomaly influencing factors, which are obtained based on experience. T1(t2) is the temperature of the battery inside the charging vehicle at time t2, which can be obtained based on the battery temperature data at time t2 transmitted from the battery management system of the charging vehicle to the charging pile control host. 1,std is the preset maximum rated temperature of the battery inside the charging vehicle, which can be obtained according to the charging parameters of the new energy vehicle obtained by the communication protocol. T2(t2) is the internal temperature of the charging pile at the time node t2, which can be obtained according to the temperature data of the time node t2 collected by the temperature sensor in the charging pile status acquisition module. 2,stdis the preset maximum rated temperature inside the charging pile, which is obtained according to the preset specification parameters in the charging pile generation design process. σ1 and σ2 are the weight coefficients corresponding to the factors affecting the temperature excess coefficient, which can be obtained according to the temperature excess coefficient influencing factor experiment. T1′(t2) is the temperature change rate of the battery temperature change curve T1(t) inside the charging vehicle at the t2 time node. It can be obtained by deriving the battery temperature change curve T1(t) inside the charging vehicle and selecting the Y value corresponding to the t2 time node. Among them, the battery temperature change curve T1(t) inside the charging vehicle can be generated according to the real-time battery temperature data modeling transmitted to the charging pile control host by the battery management system of the charging vehicle. T2'(t2) is the temperature change rate of the charging pile internal temperature change curve T2(t) at the t2 time node. It can be obtained by deriving the battery temperature change curve T1(t) inside the charging pile. The curve T1(t) is derived to select the Y value corresponding to the t2 time node, where the curve T1(t) of the internal temperature change of the charging pile over time can be generated and modeled based on the temperature data collected by the temperature sensor in the charging pile status acquisition module. δ1 is the heat dissipation parameter of the battery inside the charging vehicle in the environment, δ2 is the heat dissipation parameter of the internal temperature of the charging pile in the environment, T3(t2) is the ambient temperature around the charging pile at the t2 time node, which can be obtained by collecting the ambient temperature sensor in the environment acquisition module, f(t2) is the air circulation speed around the charging pile at the t2 time node, which can be obtained by collecting the wind speed sensor in the environment acquisition module, α1 is the corrected heat dissipation coefficient of the battery inside the charging vehicle, and α2 is the corrected heat dissipation coefficient inside the charging pile. Both α1 and α2 are selected based on experience and are specifically related to the heat dissipation efficiency of the battery inside the charging vehicle and the heat dissipation efficiency of the charging pile.

[0079] S43, performing a comprehensive analysis on the charging state deviation reference value and the charging state temperature anomaly coefficient through the monitoring module to obtain a charging anomaly characteristic value;

[0080] The process of obtaining the charging abnormality characteristic value includes:

[0081] H c =Q c *μ1+Z c *μ2 (10)

[0082] The charging abnormality characteristic value H is obtained by analyzing and calculating the formula (10): c ;

[0083] Among them, μ1 and μ2 are weight coefficients corresponding to the factors affecting abnormal charging, which can be obtained by selecting based on experience;

[0084] S44, comparing the charging abnormality characteristic value with the preset warning abnormality characteristic value, if the charging abnormality characteristic value is greater than or equal to the preset warning abnormality characteristic value, generating a stop charging signal and an abnormal warning signal, wherein the preset warning abnormality characteristic value can be selected and obtained based on experience.

[0085] Through the above technical solution, this embodiment provides a method for judging whether there is an abnormality in the charging process of a new energy vehicle. The charging state deviation reference value within a preset time period during the charging process is analyzed and calculated by formulas (1)-(4). The charging state temperature abnormality coefficient at the closest time node in the preset time period during the charging process is analyzed and calculated by formulas (5)-(9). Then, the charging abnormality characteristic value within the preset time period is obtained by analysis and calculation by formula (10). The charging abnormality characteristic value is compared with the preset warning abnormality characteristic value. If the charging abnormality characteristic value is greater than or equal to the preset warning abnormality characteristic value, it means that there is an abnormality in the charging within the preset time period. Then, a stop charging signal and an abnormal warning signal are generated. This method for judging whether there is an abnormality in the charging process of a new energy vehicle fully and comprehensively analyzes the state of the charging pile, the state of the battery of the charging vehicle and the charging environment during the charging process, which can effectively improve the accuracy and timeliness of monitoring the charging process of the charging pile, and eliminate the potential safety hazards in the charging process of the charging pile.

[0086] The preset frequency can be intelligently adjusted according to the charging state, which can be specifically adjusted by formula P s =IF[H c *ε1+E c *ε2)>K std ,P std *(E c +1),P std ] is obtained by analysis and calculation, where ε1 and ε2 are weight coefficients corresponding to the influencing factors of real-time frequency regulation parameters, which are obtained by empirical selection, K std is the standard parameter for frequency regulation, which is obtained by empirical selection, P std The preset reference frequency is obtained based on experience. The formula is expressed as follows: when the real-time frequency adjustment parameter is less than or equal to the frequency adjustment standard parameter, the preset frequency is the warning reference frequency; when the real-time frequency adjustment parameter is greater than the frequency adjustment standard parameter, the preset frequency is E c +1 times the warning reference frequency, in this way, when the abnormal characteristic value of the charging state and the charging temperature are relatively low, the preset reference frequency is used to judge whether the charging process of the new energy vehicle is abnormal. When the abnormal characteristic value of the charging state and the charging temperature are relatively high, the frequency of judging and analyzing whether the charging process of the new energy vehicle is abnormal is increased. In this way, the purpose of reducing the computing power requirement during the execution of the control method of the split charging pile proposed in the present invention can be achieved.

[0087] See also Figure 3 As shown, in one embodiment, a control system of a split charging pile is provided, the system adopts a control method of a split charging pile, and the system includes:

[0088] Charging terminal, used to charge new energy vehicles and exchange information with charging vehicles;

[0089] The acquisition module includes an environment acquisition module, a vehicle status acquisition module and a charging pile status acquisition module. The environment acquisition module is used to acquire charging environment information, the vehicle status acquisition module is used to acquire charging vehicle status information, and the charging pile status acquisition module is used to acquire charging pile status information;

[0090] The analysis and monitoring module analyzes the various information collected by the acquisition module at a preset frequency to determine whether there is any abnormality in the charging process of the charging terminal for the new energy vehicle, which effectively improves the accuracy and timeliness of the monitoring of the charging process of the charging pile; the preset frequency is intelligently adjusted according to the charging status, reducing the computing power required in the execution of this control method;

[0091] The charging pile control host is used to execute the charging start signal, charging stop signal, and abnormal warning signal.

[0092] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A control method for a split charging pile, characterized in that: The method comprises: S1. Electrically connect the charging terminal to the new energy vehicle and obtain the charging parameters of the new energy vehicle through the communication protocol; S2. After receiving the charging start signal, the charging pile control host outputs the corresponding charging voltage and current according to the acquired charging parameters; S3. During the charging process, the collection module collects the charging environment information, the charging vehicle status information and the charging pile status information; S4, the analysis and monitoring module analyzes the collected information at a preset frequency to determine whether there is an abnormality in the charging process of the new energy vehicle. If there is an abnormality, a stop charging signal and an abnormality warning signal are generated; S5, the charging pile control host executes the stop charging signal and abnormal warning signal; The process of determining whether there is an abnormality during the charging process of the new energy vehicle includes: S41, analyzing the state parameters of the charging vehicle at different charging stages through the monitoring module to obtain a charging state deviation reference value; S42, analyzing the state parameters of the charging vehicle, the state parameters inside the charging pile, and the environmental parameters around the charging pile through the monitoring module to obtain a charging state temperature anomaly coefficient; S43, performing a comprehensive analysis on the charging state deviation reference value and the charging state temperature anomaly coefficient through the monitoring module to obtain a charging anomaly characteristic value; S44, comparing the charging abnormality characteristic value with the preset warning abnormality characteristic value, and generating a charging stop signal and an abnormality warning signal if the charging abnormality characteristic value is greater than or equal to the preset warning abnormality characteristic value; In step S41, the different charging stages include: In the constant current stage, the charger maintains a constant charging current and the battery voltage rises rapidly; In the constant voltage stage, the charger maintains a fixed charging voltage, the battery voltage rises slowly, and the charging current gradually decreases; During the floating charge stage, the charger continues to charge with a small current to maintain the battery in the best condition; The process of obtaining the charge state deviation reference value includes: Q c =W c,i *τ i (1) The charge state deviation reference value Q is obtained by analyzing and calculating formulas (1)-(4) c ; Among them, W c,i is the state deviation characteristic value during the charging process of the i-th charging stage, τ i is the deviation correction coefficient corresponding to the i-th charging stage, U c is the voltage deviation characteristic value during the preset time period during the charging process, U s (t) is the actual charging voltage curve of the charging vehicle over time, U std (t) is the theoretical charging voltage curve of the charging vehicle over time, V c is the current deviation characteristic value in the preset time period during the charging process, V s (t) is the actual charging current curve of the charging vehicle over time, V std (t) is the curve of the theoretical charging current of the charging vehicle changing with time, and is the weight coefficient corresponding to the influencing factor of the charging state deviation in the i-th charging stage.

2. A control method for a split-type charging pile according to claim 1, characterized in that: The acquisition module comprises: Environmental collection module, used to collect various environmental parameters around the charging pile; Charging pile status acquisition module, used to collect various status parameters inside the charging pile; The vehicle status acquisition module is used to collect various status parameters of the charging vehicle.

3. A control method for a split-type charging pile according to claim 2, characterized in that: The process of obtaining the temperature anomaly coefficient of the charging state includes: Z c =E c *ω1+R c *ω2+exp(D c (t2))*ω3 (5) The temperature anomaly coefficient Z of the charging state is obtained by analyzing and calculating the formula (5)-(9) c ; Among them, E c is the temperature excess coefficient, R c is the temperature change abnormality parameter, D c (t2) is the smoke concentration value near the charging pile at time node t2, ω1, ω2, ω3 are the weight coefficients corresponding to the temperature anomaly influencing factors, T1(t2) is the temperature of the battery inside the charging vehicle at time node t2, T 1，std is the preset maximum rated temperature of the battery inside the charging vehicle, T2(t2) is the internal temperature of the charging pile at time node t2, T 2，std is the preset maximum rated temperature inside the charging pile, σ1 and σ2 are the weight coefficients corresponding to the factors affecting the temperature excess coefficient, T1′(t2) is the temperature change rate of the battery temperature inside the charging vehicle at the time node t2 of the time change curve T1(t), T2′(t2) is the temperature change rate of the temperature inside the charging pile at the time node t2 of the time change curve T2(t), δ1 is the heat dissipation parameter of the battery inside the charging vehicle in this environment, δ2 is the heat dissipation parameter of the temperature inside the charging pile in this environment, T3(t2) is the ambient temperature of the charging pile at the time node t2, f(t2) is the air circulation speed around the charging pile at the time node t2, α1 is the corrected heat dissipation coefficient of the battery inside the charging vehicle, and α2 is the corrected heat dissipation coefficient inside the charging pile.

4. The control method of a split-type charging pile according to claim 3, characterized in that: The process of obtaining the charging abnormality characteristic value includes: H c =Q c *μ1+Z c *μ2 (10) The charging abnormality characteristic value H is obtained by analyzing and calculating the formula (10): c ; Among them, μ1 and μ2 are the weight coefficients corresponding to the factors affecting abnormal charging.

5. A control system for a split charging pile, characterized in that: The system adopts a control method for a split-type charging pile according to any one of claims 2 to 4, and the system comprises: Charging terminal, used to charge new energy vehicles and exchange information with charging vehicles; The acquisition module includes an environment acquisition module, a vehicle status acquisition module and a charging pile status acquisition module. The environment acquisition module is used to acquire charging environment information, the vehicle status acquisition module is used to acquire charging vehicle status information, and the charging pile status acquisition module is used to acquire charging pile status information; The analysis and monitoring module analyzes the various information collected by the collection module to determine whether there is any abnormality in the charging process of the charging terminal for the new energy vehicle; The charging pile control host is used to execute the charging start signal, charging stop signal, and abnormal warning signal.

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