Method and system for analyzing interaction ability of intelligent electric vehicle charging station

Abstract

The invention discloses an interaction ability analysis method and system for an electric vehicle charging and battery swap smart station. The method comprises the following steps of: 1, analyzing response time: analyzing the response time by distinguishing a direct control mode and a station invitation mode; and step 2, down-regulation load and sustainable time analysis: by analyzing the charging behavior habits of the user, counting the charging duration of the user and the time of leaving the station after the charging is completed, and establishing normal distribution to confirm the extendable time of the user. And step 3, analysis of an up-regulation load and sustainable time: the maximum charging power, the current automobile charging power and the like are counted for analysis. And step 4, calculating the interaction capability of the intelligent charging station based on the response time, the adjustable load, the adjustable sustainable time, the adjustable load and the adjustable sustainable time. By analyzing multiple elements such as response time, adjustable load, adjustable load, sustainable time and the like, accurate evaluation of the interaction capability of the electric vehicle charging and battery swap intelligent station is realized, and the operation efficiency and service quality of the station are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging and swapping, and in particular to a method and system for analyzing the interactive capabilities of electric vehicle charging and swapping smart stations taking into account the relevance of station users. Background Art

[0002] With the rapid popularization of electric vehicles, charging and swapping stations, as important infrastructure for electric vehicle energy replenishment, bear the growing user demand. However, the existing station-grid interaction system has not yet achieved integrated monitoring and flexible regulation of multiple types of resources, and cannot accurately track the demand response curve. This leads to low operating efficiency of the station, making it difficult to strike a balance between economy and service quality, and also difficult to achieve friendly interaction with the power grid.

[0003] The current communication solutions and equipment on the market have problems such as high cost and unstable communication when dealing with complex charging and swapping scenarios, which restricts the further optimization and expansion of charging and swapping station systems. Therefore, it is urgent to develop a charging and swapping smart station interactive system that can support multi-resource type coordinated scheduling, efficient energy consumption management and flexible regulation capabilities, so as to improve the intelligence and digitalization level of charging and swapping stations.

[0004] In view of the limitations of the existing system in terms of efficient interconnection and cost control, further research should include in-depth investigation and analysis of existing communication solutions and equipment on the market, so as to clarify the direction of cost optimization and provide guidance for the design of low-cost combined communication methods. At the same time, by providing economical and efficient solutions for device interconnection in different scenarios, it can effectively reduce human intervention, improve system operation efficiency and accuracy, and significantly save operators' time and labor costs.

[0005] Therefore, developing a new interactive system for electric vehicle charging and swapping smart stations can not only improve the operating efficiency of the stations, but also be promoted to other users through an open platform, further promoting the intelligent development of the electric vehicle industry. Summary of the invention

[0006] In order to solve the deficiencies in the prior art, the present invention provides a method for analyzing the interactive capabilities of smart charging and swapping stations for electric vehicles, which matches user needs with station service capabilities by analyzing response time, adjustable load, adjustable load, and duration.

[0007] The present invention adopts the following technical solution.

[0008] On the one hand, the present application discloses a method for analyzing the interactive capability of an electric vehicle charging and swapping smart station, characterized in that the method comprises the following steps:

[0009] Step 1: Determine the response time of the station to receive the request for charging or replacing electric vehicles;

[0010] Step 2: Calculate the load that can be reduced and the duration of the reduction for each charging pile corresponding to the electric vehicle;

[0011] Step 3: Calculate the adjustable load and the duration of the adjustment for each charging pile corresponding to the electric vehicle;

[0012] Step 4: Calculate and analyze the interactive capabilities of the smart charging and swapping stations based on the response time, load that can be reduced and the duration of the reduction, and load that can be increased and the duration of the increase.

[0013] More preferably,

[0014] In step 1, the analysis of response time includes two modes: direct control and site invitation:

[0015] Among them, for the direct control mode, the response time is the information communication delay Tid and the device response delay Tdd;

[0016] For the site invitation mode, the response time is analyzed by establishing a user model to calculate the user invitation time Tiv.

[0017] More preferably,

[0018] For the direct control mode, the information communication delay is determined by the PING protocol test, and the average value of multiple test results is taken as the communication delay; the device response delay is determined by experimental methods.

[0019] More preferably,

[0020] For the site invitation mode, historical data are collected, the average value is estimated by the maximum likelihood method, the mean and variance are calculated through samples, and then the mean and variance are substituted into the normal distribution to build a model of site response, and then the confidence interval is considered to form the response time.

[0021] More preferably,

[0022] Step 2 specifically includes the following:

[0023] Count the user's historical charging time and the time from the completion of charging to leaving the charging station, and obtain the user's extended waiting time after charging;

[0024] Collect statistics on the user's historical charging power and remaining power, obtain the vehicle's remaining power ratio and maximum charging power before charging, and calculate the required charging power based on the rated capacity and remaining power ratio;

[0025] Calculate the load that can be reduced and the duration of the reduction under normal circumstances, as well as the load that can be reduced and the duration of the reduction in emergency situations.

[0026] More preferably,

[0027] Under normal circumstances, the calculation method for reducing the load and the duration of the reduction is as follows:

[0028] Calculate the current amount of electricity that the car needs to charge Echarging, which is the product of the car's rated capacity S and (1-pro), where pro is the remaining power ratio;

[0029] Get the current car charging power Lcurrent;

[0030] Calculate expected charging time

[0031] Expected load Among them, Tdelay is the waiting time that users can extend;

[0032] The value in the interval (0, (Lcurrent-Eexpect)] is taken as the value of the load that can be lowered under normal circumstances Llower, and the sum of the user's extended waiting time Tdelay and the expected charging time Texpected is taken as the lowering duration Tlduration.

[0033] More preferably,

[0034] The calculation method for reducing the load and the duration of the reduction in emergency is as follows:

[0035] The value in the interval ((Lcurrent-Eexpect),Pmax] is taken as the value of the load that can be lowered in an emergency situation L'lower;

[0036] The duration of emergency downgrade T'duration is calculated as follows:

[0037]

[0038] Among them, Pmax is the maximum charging power.

[0039] More preferably,

[0040] Take (maximum charging power Pmax-current vehicle charging power Lcurrent) as the maximum adjustable load Lupmax, and the value range of the adjustable load Lup is (0, (Pmax-Lcurrent)];

[0041] The up-adjustment duration Tuduration is calculated using the following formula:

[0042]

[0043] Among them, Echarging is the amount of electricity that the car currently needs to be charged.

[0044] More preferably,

[0045] The interactive capability of smart charging and swapping stations is calculated as follows:

[0046] Calculate the response speed index RSI;

[0047] When in direct control mode,

[0048] When in site invitation mode,

[0049] Among them, Tidmin and Tidmax are the minimum and maximum values ​​of information communication delay, Tddmin and Tddmax are the minimum and maximum values ​​of device response delay, μ and σ are the sample mean and variance of response time in the site invitation mode, respectively.

[0050] Calculate the load regulation capability index LRCI;

[0051]

[0052] Calculate the duration index STI;

[0053]

[0054] Wherein, Llower,i and L'lower,i are the load values ​​that can be adjusted down in normal and emergency situations respectively for the i-th charging pile, Lup,i is the load value that can be adjusted up for the i-th charging pile, Pmax,i is the maximum charging power corresponding to the i-th charging pile; Tlduration,i, T'lduration,i, Tuduration,i respectively represent the adjustable duration in normal situation, the adjustable duration in emergency situation, and the adjustable duration in increase corresponding to the i-th charging pile; Tldurationmax, T'ldurationmax, Tudurationmax respectively represent the maximum values ​​of the adjustable duration in normal situation, the adjustable duration in emergency situation, and the adjustable duration in increase; k is the number of charging piles in the station;

[0055] Calculate the comprehensive score of interactive ability ICS;

[0056] ICS=0.4·RSI+0.3·LRCI+0.3·STI.

[0057] The second aspect of the present application discloses an electric vehicle charging and swapping smart station interactive capability analysis system based on the analysis method, including a response time analysis module, a load that can be reduced and a duration calculation module for the reduced load, a load that can be increased and a duration calculation module for the increased load, and a charging and swapping smart station interactive capability analysis module; characterized in that:

[0058] The response time analysis module is used to determine the response time of the station receiving the request for charging or replacing the electric vehicle;

[0059] The load that can be adjusted downward and the duration that can be adjusted downward are calculated by the module for calculating the load that can be adjusted downward and the duration that can be adjusted downward for the electric vehicle corresponding to each charging pile under normal circumstances, and the load that can be adjusted downward and the duration that can be adjusted downward in an emergency situation;

[0060] The adjustable load and adjustable duration calculation module is used to calculate the adjustable load and adjustable duration of the electric vehicle corresponding to each charging pile;

[0061] The interactive capability analysis module of the charging and swapping smart station calculates and analyzes the interactive capability of the charging and swapping smart station based on the response time, the load that can be reduced and the duration for the reduction, and the load that can be increased and the duration for the increase.

[0062] The present application also seeks to protect a terminal, including a processor and a storage medium; the characteristics of which are:

[0063] The storage medium is used to store instructions;

[0064] The processor is used to operate according to the instructions to execute the steps of the method for analyzing the interactive capabilities of the electric vehicle charging and swapping smart station.

[0065] A computer-readable storage medium having a computer program stored thereon, characterized in that when the program is executed by a processor, the program implements the steps of a method for analyzing the interactive capabilities of smart charging and swapping stations for electric vehicles.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] 1. Improve service quality: When the service capacity of the station cannot meet the needs of all users, introduce a user invitation mechanism to guide users to charge during low-load periods through text messages or station notifications, thereby improving the overall service capacity of the station and user satisfaction.

[0068] 2. Enhanced interactive capabilities: Taking into account the interrelationships between site users, it is possible to better understand the behavior patterns of individual users and predict group behavior trends, thereby enhancing the interactive capabilities and response speed between the site and users.

[0069] 3. Dynamic adjustment strategy: Based on the results of real-time data analysis, the system supports dynamic adjustment of charging strategies. By collecting and analyzing real-time data from charging stations and users, the system can automatically adjust the charging strategy according to changes in different scenarios to ensure that the station can flexibly respond to various usage situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 This is a block diagram of the interactive capability analysis of the electric vehicle charging and swapping smart station of the present invention;

[0071] Figure 2 This is a schematic flow chart of the interactive capability analysis method of the electric vehicle charging and swapping smart station of the present invention. DETAILED DESCRIPTION

[0072] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only embodiments of a part of the present invention, rather than all embodiments. Based on the spirit of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the protection scope of the present invention.

[0073] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0074] As attached Figure 2 As shown, the electric vehicle charging and swapping smart station interactive capability analysis method disclosed in the present invention specifically includes the following steps:

[0075] Step 1: Determine the response time of the station to receive the request for charging or replacing electric vehicles;

[0076] The analysis of response time includes two modes: direct control and site invitation:

[0077] Among them, for the direct control mode, the response time is the information communication delay Tid and the device response delay Tdd;

[0078] For the site invitation mode, the response time is analyzed by establishing a user model to calculate the user invitation time Tiv.

[0079] For the direct control mode, the information communication delay is determined by the PING protocol test, and the average value of multiple test results is taken as the communication delay; the device response delay is determined by an experimental method. In the embodiment of the present invention, the default time of the direct control mode is: 1 second.

[0080] For the site invitation mode, historical data are collected, the average value is estimated by the maximum likelihood method, the mean and variance are calculated through samples, and then the mean and variance are substituted into the normal distribution to build a model of site response, and then the confidence interval is considered to form the response time.

[0081] Step 2: Calculate the load that can be reduced and the duration of the reduction for each charging pile corresponding to the electric vehicle;

[0082] Count the user's historical charging time and the time from the completion of charging to leaving the charging station, and obtain the user's extended waiting time after charging;

[0083] Collect statistics on the user's historical charging power and remaining power, obtain the vehicle's remaining power ratio and maximum charging power before charging, and calculate the required charging power based on the rated capacity and remaining power ratio;

[0084] Calculate the load that can be reduced and the duration of the reduction under normal circumstances, as well as the load that can be reduced and the duration of the reduction in emergency situations.

[0085] Among them, the calculation method of the load that can be reduced and the duration of the reduction under normal circumstances is as follows:

[0086] Calculate the current amount of electricity that the car needs to charge Echarging, which is the product of the car's rated capacity S and (1-pro), where pro is the remaining power ratio;

[0087] Get the current car charging power Lcurrent;

[0088] Calculate expected charging time

[0089] Expected load Among them, Tdelay is the waiting time that the user can extend.

[0090] The value in the interval (0, (Lcurrent-Eexpect)] is taken as the value of the load that can be lowered under normal circumstances Llower, and the sum of the user's extended waiting time Tdelay and the expected charging time Texpected is taken as the lowering duration Tlduration.

[0091] The calculation method for reducing the load and the duration of the reduction in emergency is as follows:

[0092] The value in the interval ((Lcurrent-Eexpect),Pmax] is taken as the value of the load that can be lowered in an emergency situation L'lower;

[0093] The duration of emergency downgrade T'duration is calculated as follows:

[0094]

[0095] Among them, Pmax is the maximum charging power.

[0096] Step 3: Calculate the adjustable load and the duration of the adjustment for each charging pile corresponding to the electric vehicle;

[0097] Take (maximum charging power Pmax-current vehicle charging power Lcurrent) as the maximum adjustable load Lupmax, and the value range of the adjustable load Lup is (0, (Pmax-Lcurrent)];

[0098] The up-adjustment duration Tuduration is calculated using the following formula:

[0099]

[0100] Among them, Echarging is the amount of electricity that the car currently needs to be charged.

[0101] Step 4: Calculate and analyze the interactive capabilities of the smart charging and swapping stations based on the response time, load that can be reduced and the duration of the reduction, and load that can be increased and the duration of the increase.

[0102] The interactive capability of smart charging and swapping stations is calculated as follows:

[0103] Calculate the response speed index RSI;

[0104] When in direct control mode,

[0105] When in site invitation mode,

[0106] Among them, Tidmin and Tidmax are the minimum and maximum values ​​of information communication delay, Tddmin and Tddmax are the minimum and maximum values ​​of device response delay, μ and σ are the sample mean and variance of response time in the site invitation mode, respectively.

[0107] Calculate the load regulation capability index LRCI;

[0108]

[0109] Calculate the duration index STI;

[0110]

[0111] Wherein, Llower,i and L'lower,i are the load values ​​that can be adjusted down in normal and emergency situations respectively for the i-th charging pile, Lup,i is the load value that can be adjusted up for the i-th charging pile, Pmax,i is the maximum charging power corresponding to the i-th charging pile; Tlduration,i, T'lduration,i, Tuduration,i respectively represent the adjustable duration in normal situation, the adjustable duration in emergency situation, and the adjustable duration in increase corresponding to the i-th charging pile; Tldurationmax, T'ldurationmax, Tudurationmax respectively represent the maximum values ​​of the adjustable duration in normal situation, the adjustable duration in emergency situation, and the adjustable duration in increase; k is the number of charging piles in the station;

[0112] Calculate the comprehensive score of interactive ability ICS;

[0113] ICS=0.4·RSI+0.3·LRCI+0.3·STI.

[0114] The present application also discloses an interactive capability analysis system for electric vehicle charging and swapping smart stations based on the analysis method, including a response time analysis module, a module for calculating the load that can be reduced and the duration of the reduction, a module for calculating the load that can be increased and the duration of the increase, and a module for analyzing the interactive capability of the charging and swapping smart stations.

[0115] For analysis structure, please refer to the attached Figure 1 As shown,

[0116] The response time analysis module is used to determine the response time of the station receiving the request for charging or replacing the electric vehicle;

[0117] The load that can be adjusted downward and the duration that can be adjusted downward are calculated by the module for calculating the load that can be adjusted downward and the duration that can be adjusted downward for the electric vehicle corresponding to each charging pile under normal circumstances, and the load that can be adjusted downward and the duration that can be adjusted downward in an emergency situation;

[0118] The adjustable load and adjustable duration calculation module is used to calculate the adjustable load and adjustable duration of the electric vehicle corresponding to each charging pile;

[0119] The interactive capability analysis module of the charging and swapping smart station calculates and analyzes the interactive capability of the charging and swapping smart station based on the response time, the load that can be reduced and the duration for the reduction, and the load that can be increased and the duration for the increase.

[0120] Embodiment 1:

[0121] Step 1: Response time analysis;

[0122] Information communication delay: Use the PING protocol to test the communication delay from the master station to the charging pile. After multiple tests (for example, 10 times), take the average value as the communication delay. Assume that the test result is 2 seconds.

[0123] Device response delay: The device response delay is measured by experimental method. The specific steps are as follows: Repeat the test 10 times and calculate the average response time as 1 second.

[0124] Total response time: The total response time of the direct control mode is the information communication delay plus the device response delay, that is, 2+1=3 seconds.

[0125] Site invitation mode: User invitation time: Assume that the average user invitation time estimated by the maximum likelihood method is 5 minutes and the standard deviation is 1 minute.

[0126] Step 2: Analysis of load reduction and duration:

[0127] User charging behavior: Assume that the average charging time is 30 minutes. Count the time from charging completion to unplugging the charging cable: Assume that the average time is 5 minutes.

[0128] Establish a normal distribution model: Assume that the user can extend the time to 15 minutes (that is, 5 minutes after charging is completed plus an additional 10 minutes).

[0129] Get the remaining power of the vehicle:

[0130] ① Rated capacity: Assume that the rated capacity of a vehicle’s battery is 15kWh.

[0131] ② Remaining power: Assuming the current remaining power is 20%, the amount of power required to be charged is 15×(1-0.2)=12kWh.

[0132] ③ Maximum charging power: According to historical charging data, the maximum charging power of this vehicle is 50kW.

[0133] ④Current car charging power: Assume that the current charging power is 30kW.

[0134] Maximum load that can be reduced: The maximum load that can be reduced is the current car charging power, which is 30kW.

[0135] Duration: The duration is the user-extendable time, i.e. 15 minutes (0.25 hours).

[0136] Expected charging time: Hour

[0137] Adjustable load range:

[0138] ① Under normal circumstances: the load that can be adjusted down should be between 0 and Lcurrent-Eexpect=30-24=6kW, and the duration is Texpected+Tdelay=0.4+0.25=0.65 hours.

[0139] ② Special circumstances (i.e. emergency situations): If the grid has additional demand and the user agrees to extend the charging time, the load that can be reduced can be greater than 6kW, and the duration is the result of solving the equation.

[0140] Calculation of load reduction under special circumstances:

[0141] Assume that the duration of load reduction is Tduration, and the maximum charging power time is Tmaximum: the load reduction multiplied by Tduration plus the maximum power multiplied by Tmaximum equals the required charging power.

[0142] Tduration+Tmaximum equals the expected charging time plus the time that can be extended by the user.

[0143] Solving the equation:

[0144] Assume that the load reduction is Llower=30kW, the maximum charging power is Pmax=50kW, the required charging power is Echarging=12kWh, the expected charging time is Texpected=0.4 hours, and the user can extend the time to Tdelay=0.25 hours.

[0145] ①Write two equations:

[0146] ·Llower·Tduration+Pmax·Tmaximum=Echarging

[0147] ·Tduration+Tmaximum=Texpected+Tdelay

[0148] ② Solve Tmaximum from the second equation:

[0149] ·Tmaximum=(Texpected+Tdelay)-Tduration

[0150] ③Substitute the expression of Tmaximum into the first equation:

[0151] ·Llower·Tduration+Pmax·((Texpected+Tdelay)-Tduration)=Echarging

[0152] ④ Expand and organize:

[0153] ·Llower·Tduration+Pmax·(Texpected+Tdelay)-Pmax·Tduration=Echarging·(Llower-Pmax)·Tduration=Echarging-Pmax·(Texpected+Tdelay)

[0154] ⑤Solve Tduration:

[0155] ·

[0156] ⑥Substitute the values: Hour

[0157] Step 3: Analysis of adjustable load and duration

[0158] ① Maximum adjustable load: Lup = Pmax-Lcurrent = 50-30 = 20kW

[0159] ② Duration: Hour

[0160] Step 4: Quantitatively evaluate the site interaction capabilities

[0161] ① Response Speed ​​Index (RSI):

[0162] RSI = 1.7

[0163] ② Load Regulation Capacity Index (LRCI):

[0164] LRCI = 0.52

[0165] ③Sustainability Index (STI):

[0166] STI = 0.65

[0167] ④ Comprehensive score of interactive ability (ICS):

[0168] Assuming the weight coefficients w1 = 0.4, w2 = 0.3, w3 = 0.3, then:

[0169] ·ICS=0.4·1.7+0.3·0.52+0.3·0.65=0.896.

[0170] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0171] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0172] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0173] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0174] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for analyzing the interactive capabilities of electric vehicle charging and swapping smart stations, characterized in that: The method comprises the following steps: Step 1: Determine the response time of the station to receive the request for charging or replacing electric vehicles; Step 2: Calculate the load that can be reduced and the duration of the reduction for each charging pile corresponding to the electric vehicle; Step 3: Calculate the adjustable load and the duration of the adjustment for each charging pile corresponding to the electric vehicle; Step 4: Calculate and analyze the interactive capabilities of the smart charging and swapping stations based on the response time, load that can be reduced and the duration of the reduction, and load that can be increased and the duration of the increase.

2. The method for analyzing the interactive capability of electric vehicle charging and swapping smart stations according to claim 1 is characterized by: In step 1, the analysis of response time includes two modes: direct control and site invitation: Among them, for the direct control mode, the response time is the information communication delay Tid and the device response delay Tdd; For the site invitation mode, the response time is analyzed by establishing a user model to calculate the user invitation time Tiv.

3. The method for analyzing the interactive capability of electric vehicle charging and swapping smart stations according to claim 2 is characterized by: For the direct control mode, the information communication delay is determined by the PING protocol test, and the average value of multiple test results is taken as the communication delay; the device response delay is determined by experimental methods.

4. The method for analyzing the interactive capability of an electric vehicle charging and swapping smart station according to claim 2 or 3, characterized in that: For the site invitation mode, historical data are collected, the average value is estimated by the maximum likelihood method, the mean and variance are calculated through samples, and then the mean and variance are substituted into the normal distribution to build a model of site response, and then the confidence interval is considered to form the response time.

5. The method for analyzing the interactive capability of electric vehicle charging and swapping smart stations according to claim 1 is characterized by: Step 2 specifically includes the following: Count the user's historical charging time and the time from the completion of charging to leaving the charging station, and obtain the user's extended waiting time after charging; Collect statistics on the user's historical charging power and remaining power, obtain the vehicle's remaining power ratio and maximum charging power before charging, and calculate the required charging power based on the rated capacity and remaining power ratio; Calculate the load that can be reduced and the duration of the reduction under normal circumstances, as well as the load that can be reduced and the duration of the reduction in emergency situations.

6. The method for analyzing the interactive capability of electric vehicle charging and swapping smart stations according to claim 5 is characterized by: Under normal circumstances, the calculation method for reducing the load and the duration of the reduction is as follows: Calculate the current amount of electricity that the car needs to charge Echarging, which is the product of the car's rated capacity S and (1-pro), where pro is the remaining power ratio; Get the current car charging power Lcurrent; Calculate expected charging time Expected load in, Tdelay is the waiting time that users can extend; The value in the interval (0, (Lcurrent-Eexpect)] is taken as the value of the load that can be lowered under normal circumstances Llower, and the sum of the user's extended waiting time Tdelay and the expected charging time Texpected is taken as the lowering duration Tlduration.

7. The method for analyzing the interactive capability of electric vehicle charging and swapping smart stations according to claim 6 is characterized by: The calculation method for reducing the load and the duration of the reduction in emergency is as follows: The value in the interval ((Lcurrent-Eexpect),Pmax] is taken as the value of the load that can be lowered in an emergency situation L'lower; The duration of emergency downgrade T'duration is calculated as follows: Among them, Pmax is the maximum charging power.

8. The method for analyzing the interactive capability of an electric vehicle charging and swapping smart station according to claim 1 or 7, characterized in that: In step 3, (maximum charging power Pmax-current vehicle charging power Lcurrent) is used as the maximum adjustable load Lupmax, and the value range of the adjustable load Lup is (0, (Pmax-Lcurrent)]; The up-adjustment duration Tuduration is calculated using the following formula: Among them, Echarging is the amount of electricity that the car currently needs to be charged.

9. The method for analyzing the interactive capability of an electric vehicle charging and swapping smart station according to claim 1 or 8, characterized in that: In step 4, the interactive capability of the smart charging and swapping station is calculated as follows: Calculate the response speed index RSI; When in direct control mode, When in site invitation mode, Among them, Tidmin and Tidmax are the minimum and maximum values ​​of information communication delay, Tddmin and Tddmax are the minimum and maximum values ​​of device response delay, μ and σ are the sample mean and variance of response time in the site invitation mode, respectively. Calculate the load regulation capability index LRCI; Calculate the duration index STI; Wherein, Llower,i and L'lower,i are the load values ​​that can be adjusted down in normal and emergency situations respectively for the i-th charging pile, Lup,i is the load value that can be adjusted up for the i-th charging pile, Pmax,i is the maximum charging power corresponding to the i-th charging pile; Tlduration,i, T'lduration,i, Tuduration,i respectively represent the adjustable duration in normal situation, the adjustable duration in emergency situation, and the adjustable duration in increase corresponding to the i-th charging pile; Tldurationmax, T'ldurationmax, Tudurationmax respectively represent the maximum values ​​of the adjustable duration in normal situation, the adjustable duration in emergency situation, and the adjustable duration in increase; k is the number of charging piles in the station; Calculate the comprehensive score of interactive ability ICS; ICS=0.4·RSI+0.3·LRCI+0.3·STI.

10. An electric vehicle charging and swapping smart station interactive capability analysis system based on the analysis method described in any one of claims 1 to 9, comprising a response time analysis module, a down-adjustable load and down-adjustable duration calculation module, an up-adjustable load and up-adjustable duration calculation module, and a charging and swapping smart station interactive capability analysis module; characterized in that: The response time analysis module is used to determine the response time of the station receiving the request for charging or replacing the electric vehicle; The load that can be adjusted downward and the duration that can be adjusted downward are calculated by the module for calculating the load that can be adjusted downward and the duration that can be adjusted downward for the electric vehicle corresponding to each charging pile under normal circumstances, and the load that can be adjusted downward and the duration that can be adjusted downward in an emergency situation; The adjustable load and adjustable duration calculation module is used to calculate the adjustable load and adjustable duration of the electric vehicle corresponding to each charging pile; The interactive capability analysis module of the charging and swapping smart station calculates and analyzes the interactive capability of the charging and swapping smart station based on the response time, the load that can be reduced and the duration for the reduction, and the load that can be increased and the duration for the increase.

11. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-9.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 9 are implemented.

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