Intelligent charging method and system for electric vehicle

Abstract

The invention relates to an intelligent charging method and system for an electric vehicle, and relates to the field of the vehicle charging technology, and the method comprises the steps: obtaining a user demand mode; when the user demand mode is consistent with the intelligent charging mode, the power-on unit duration of the socket is controlled, and vehicle charging information is obtained within the unit duration; inputting the vehicle charging information into an electric quantity estimation model to determine the remaining electric quantity of the vehicle, and inputting the vehicle charging information and the remaining electric quantity of the vehicle into a vehicle charging model to determine the required charging duration; determining a theoretical end point according to the acquisition time point of the required charging duration and the required charging duration; judging whether the theoretical end point is in an idle time period or not; if yes, a charging starting point is determined according to the required charging duration and the idle time period, the socket is controlled to be powered off at the current time point, and the socket is controlled to be powered on at the charging starting point until the vehicle is fully charged. The method has the effect of reducing the charging cost of electric vehicle charging.

Description

Technical Field

[0001] The present application relates to the field of vehicle charging technology, and in particular to an intelligent charging method and system for electric vehicles. Background Art

[0002] At present, in order to reduce the occurrence of fires caused by charging electric bicycles, the charging of electric bicycles in the community is generally achieved through shared charging stations. That is, when a user needs to charge an electric vehicle, the electric vehicle charger is inserted into the socket of the charging station. At this time, the socket is powered by scanning the QR code on the charging station and paying the fee, thereby realizing the charging process of the electric vehicle.

[0003] In the above-mentioned related technologies, after the user scans the code to pay, the socket can be powered on to charge the electric vehicle. However, in general, some users charge the electric vehicle after arriving at the community after get off work. If charging is performed at this time, the charging operation will generally be completed in the early morning. At this time, there will be no new electric vehicles entering and requiring charging. The electric vehicle occupies part of the peak period electricity when charging, resulting in a higher overall charging cost. There is still room for improvement. Summary of the invention

[0004] In order to reduce the charging cost of electric vehicles, the present application provides an electric vehicle intelligent charging method and system.

[0005] In the first aspect, the present application provides an electric vehicle intelligent charging method, which adopts the following technical solution: An intelligent charging method for an electric vehicle, comprising: Obtain user demand patterns; When the user demand mode is consistent with the preset intelligent charging mode, the socket is powered on for a preset unit time, and the vehicle charging information is obtained within the unit time; Inputting the vehicle charging information into a preset power estimation model to determine the remaining power of the vehicle, and inputting the vehicle charging information and the remaining power of the vehicle into a preset vehicle charging model to determine the required charging time; Determine the theoretical end point according to the acquisition time point of the required charging time and the required charging time; Determine whether the theoretical end point is within a preset idle time period; If the theoretical end point is not within the idle time period, the control socket continues to be powered until the vehicle is fully charged; If the theoretical end point is within the idle time period, the charging start point is determined based on the required charging time and the idle time period, and the socket is controlled to be powered off at the current time point, and the socket is controlled to be powered on at the charging start point until the vehicle is fully charged.

[0006] Optionally, the method further includes a step of determining an idle time period, the step comprising: Get the time period of low power consumption; A detection time period of random width is established with the rear end point of the off-peak power consumption time period as the rear end point, and the width of the detection time period is defined as the detection width value; On a preset time axis, a historical interval with a width of a preset historical duration is established with the current time point as the rear end point, and a similar time period is determined in the historical interval according to the detection time period; Obtain the number of vehicles connected in each similar time period; Perform data analysis based on the number of all vehicle accesses to determine the number of representative accesses, and define the detection time period as a valid time period when the number of representative accesses is not greater than a preset benchmark number; The valid time period with the largest detection width value is determined according to a preset sorting rule, and the valid time period is determined as the idle time period.

[0007] Optionally, the step of performing data analysis based on the number of all vehicle accesses to determine the representative access number includes: Selecting a vehicle access number from all vehicle access numbers as a standard access number, and defining the remaining vehicle access numbers as comparison access numbers; Performing a difference calculation based on the standard access quantity and the comparison access quantity to determine the difference access quantity, and performing an average calculation based on all the difference access quantities to determine the difference average quantity; The average number of differences with the smallest value is determined according to the sorting rule, and the standard access number corresponding to the average number of differences is defined as the representative access number.

[0008] Optionally, the method further includes a step of determining a benchmark quantity, the step comprising: Get the socket usage status of each socket; When the socket usage state is consistent with the preset idle state, the corresponding socket is defined as an idle socket, and the idle sockets are counted to determine the idle number; Construct a socket usage time period based on the current time point and the front end of the detection time period; Determine a similar usage time period according to the socket usage time period in the historical interval, and obtain the socket usage quantity in the similar usage time period; Input the usage quantity of each socket from front to back in chronological order into a preset usage prediction model to output a subsequent prediction quantity; The baseline quantity is determined by performing a difference calculation based on the available quantity and the subsequent forecast quantity.

[0009] Optionally, the step of determining the charging starting point according to the required charging time and the idle time period includes: Get the order user; Determine the valid reference order based on the order user and the current time point, and determine the disconnection time point in the valid reference order; Compare each disconnection time point with the rear end point of the idle time period to determine the point direction, and count the point directions consistent with the preset delay direction to determine the delay quantity; Count all disconnection time points to determine the total number of disconnections, and calculate the delay ratio based on the delay number and the total number of disconnections; Determine whether the delay ratio is greater than the preset demand upper limit ratio; If the delay ratio is not greater than the demand upper limit ratio, an advance processing signal is output; If the delay ratio is greater than the upper limit ratio of demand, the charging starting point is determined by moving the required charging time forward from the rear end of the idle time period.

[0010] Optionally, after the signal output is processed in advance, the electric vehicle intelligent charging method further includes: The disconnection time point corresponding to the point direction being inconsistent with the delayed direction is defined as the advance time point; Determine the time interval between any two advance time points; The advance time points whose point interval time is less than the preset reference interval time are summarized into the same preset initially empty collection set; Count the advance time points in each collection set to determine the number within the set, and count all the advance time points to determine the total advance number; Count the internal quantity of the set and the total quantity in advance to determine the internal proportion, and define the storage set whose internal proportion is greater than the preset benchmark proportion as a valid set; The most forward time point is determined in all valid sets, and the forward time point is defined as the pick-up time point. The charging start point is determined by moving the pick-up time point forward by the required charging time.

[0011] Optionally, after the charging starting point is determined, the electric vehicle intelligent charging method further includes: Determine the start-to-start interval length in the preset advance direction with the charging start point as the starting point and the front end point of the idle time period as the end point; Determine whether the start-to-end interval is greater than zero; If the starting interval time is not greater than zero, the determined charging starting point is maintained; If the starting interval time is greater than zero, determine whether the starting interval time is greater than the preset reserved time; If the starting interval time is greater than the reserved time, the charging starting point is moved in the advance direction by the reserved time to update the charging starting point; If the starting interval time is not greater than the reserved time, the charging starting point is moved in the advance direction by the starting interval time to update the charging starting point.

[0012] In a second aspect, the present application provides an electric vehicle intelligent charging system, which adopts the following technical solutions: An electric vehicle intelligent charging system, comprising: An acquisition module is used to acquire user demand patterns; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; When the judging module judges that the user demand mode is consistent with the preset intelligent charging mode, the processing module controls the socket to be powered on for a preset unit time, and enables the acquisition module to acquire the vehicle charging information within the unit time; The processing module inputs the vehicle charging information into a preset power estimation model to determine the remaining power of the vehicle, and inputs the vehicle charging information and the remaining power of the vehicle into a preset vehicle charging model to determine the required charging time; The processing module determines the theoretical end point according to the acquisition time point of the required charging time and the required charging time; The judging module judges whether the theoretical end point is within a preset idle time period; If the judgment module determines that the theoretical end point is not within the idle time period, the processing module controls the socket to continue to be powered on until the vehicle is fully charged; If the judgment module determines that the theoretical end point is within the idle time period, the processing module determines the charging starting point according to the required charging time and the idle time period, and controls the socket to cut off power at the current time point, and controls the socket to power on at the charging starting point until the vehicle is fully charged.

[0013] In summary, the present application includes at least one of the following beneficial technical effects: 1. When charging electric vehicles, factors such as the charging time and the number of sockets can be comprehensively considered to determine the charging period of electric vehicles, so that electric vehicles can be charged during the off-peak period as much as possible, reducing the charging cost of electric vehicles; 2. Analyzing the user's historical order situation can determine the user's car usage habits, so that the electric vehicle charging can be coordinated with the user's car usage habits, giving the user a better charging experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flow chart of the smart charging method for electric vehicles.

[0015] Figure 2 It is a module flow chart of the smart charging method for electric vehicles. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0017] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0018] The present application discloses a smart charging method for electric vehicles. Figure 1 The method flow of the electric vehicle intelligent charging method includes the following steps: Step S100: Acquire user demand patterns.

[0019] The user demand mode refers to the charging mode selected by the user after scanning the code and logging into the charging system. This mode includes immediate charging mode and smart charging mode. The immediate charging mode starts charging immediately after scanning the code and paying until the electric vehicle is fully charged. The smart charging mode is a mode that can combine peak and valley electricity conditions to reduce electricity costs. Generally, the price of the smart charging mode is lower than the immediate charging mode, so users are encouraged to choose the smart charging mode.

[0020] Step S101: When the user demand mode is consistent with the preset smart charging mode, the socket is controlled to be powered on for a preset unit time, and the vehicle charging information is obtained within the unit time.

[0021] The unit duration is a fixed duration set by the staff, which should be a shorter duration, such as 5 minutes; the vehicle charging information refers to various parameters such as voltage and current output by the charging socket at various time points within the unit duration.

[0022] Step S102: inputting the vehicle charging information into a preset power estimation model to determine the remaining power of the vehicle, and inputting the vehicle charging information and the remaining power of the vehicle into a preset vehicle charging model to determine the required charging time.

[0023] The power estimation model is a pre-established model that can predict the remaining power on the vehicle through the changes in the vehicle charging information over a period of time. The construction method of the model is a conventional technical means of those skilled in the art and will not be described in detail here. The power estimation model can be used to know the remaining power of the vehicle after a unit time. The vehicle charging model is a pre-established model for simulating the charging of the vehicle. Different vehicle charging information indicates different charging conditions for the vehicle per unit time, and the charging time required for the vehicle is also different. Similarly, different vehicle remaining power indicates different overall power required for charging, and the corresponding charging time is also different. Therefore, the vehicle charging model can be used to predict the charging time required for the vehicle, which is convenient for subsequent analysis. The predicted time is the required charging time.

[0024] Step S103: determining a theoretical end point according to the acquisition time point of the required charging duration and the required charging duration.

[0025] The theoretical end point is the time point corresponding to when the vehicle is fully charged while maintaining power supply to the socket so that the vehicle continues to charge, that is, the time point obtained by moving the required charging time backward by the required charging time.

[0026] Step S104: determining whether the theoretical end point is within a preset idle time period.

[0027] The idle time period is the time period set by the staff when the electricity consumption is low and no new people need to use the socket for charging, such as 0:00-6:00 every day. The specific time period can be set by the staff according to the actual situation, or determined according to the method in steps S200-S205; the purpose of the judgment is to know whether the vehicle can be delayed for charging.

[0028] Step S1041: If the theoretical end point is not within the idle time period, the control socket continues to be powered on until the vehicle is fully charged.

[0029] When the theoretical end point is not within the idle time period, it indicates that other vehicles may need to use the socket in the future. In this case, the electric vehicle can be controlled normally for charging.

[0030] Step S1042: If the theoretical end point is within the idle time period, the charging start point is determined according to the required charging time and the idle time period, and the socket is controlled to be powered off at the current time point, and the socket is controlled to be powered on at the charging start point until the vehicle is fully charged.

[0031] When the theoretical end point is within the idle time period, it means that basically no new vehicles will need to use the socket in the future. Therefore, the charging period of the vehicle can be adjusted according to the off-peak electricity consumption situation. The charging starting point, that is, the starting point for the electric vehicle to start charging, can be determined by moving the required charging time forward from the rear end point of the idle time period, or by the method of steps S500-S70122. By controlling the socket to be powered on at the charging starting point, most of the vehicle charging process is within the off-peak electricity consumption period, thereby reducing the charging cost.

[0032] The step of determining an idle time period is also included, and the step comprises: Step S200: Obtain the off-peak power consumption time period.

[0033] The off-peak electricity consumption period is the off-peak electricity consumption period in the area where the charging station is located.

[0034] Step S201: establishing a detection time period of random width with the rear end point of the off-peak power consumption time period as the rear end point, and defining the width of the detection time period as a detection width value.

[0035] Establish a detection time period to define the specific situation during the off-peak power consumption period for subsequent analysis, and define a detection width value to determine the width situation for subsequent analysis.

[0036] Step S202: establishing a historical interval with a preset historical duration on a preset time axis with the current time point as the rear end point, and determining a similar time period in the historical interval according to the detection time period.

[0037] The time axis is a coordinate axis formed by the combination of various time points, and the coordinate axis points from the time points that have passed to the time points that have not yet arrived, wherein the time points that have passed are on the left side of the coordinate axis, and the time points that have not yet arrived are on the right side of the coordinate axis, and the left side is defined as the front and the right side is defined as the back; the historical duration is the duration set by the staff for acquiring data on the historical charging conditions of the charging station, for example, 1 year, and a historical interval is established to facilitate the acquisition and analysis of data within the historical duration; a similar time period is a time period in the historical interval that is similar to the detection time period. For example, a week can be divided into 2 rest days and 5 working days, and the time periods of working days and working days are the same, and the time periods of rest days and rest days are the same. For example, the current detection time period is Saturday 23:00-Sunday 6:00, then the similar time periods can be each Saturday 23:00-Sunday 6:00 and Friday 23:00-Saturday 6:00 in the historical situation.

[0038] Step S203: Obtain the number of vehicles connected in each similar time period.

[0039] The number of connected vehicles refers to the number of electric vehicles that need to be charged and connected in a similar time period, which can be determined by counting the usage of the sockets.

[0040] Step S204: Perform data analysis based on the number of all accessed vehicles to determine the representative access number, and define the detection time period as a valid time period when the representative access number is not greater than a preset reference number.

[0041] The representative access number is the number of vehicles that will access the network from outside during this time period. The specific determination method can refer to steps S300-S302. The benchmark number is the number of sockets that can be used in theory. When the representative access number is not greater than the benchmark number, it means that even if the socket is not charged immediately, it will not affect the subsequent charging operations of other vehicles. That is, the currently determined detection time period meets the requirements of the idle time period. Therefore, it is defined as a valid time period to distinguish different detection time periods, which is convenient for subsequent analysis.

[0042] Step S205: determining the valid time period with the largest detection width value according to a preset sorting rule, and determining the valid time period as the idle time period.

[0043] The sorting rule is a method set by the staff to sort the size of values, such as the bubble method. The sorting rule can be used to determine the effective time period with the largest detection width value, which means that electric vehicles can be charged effectively at a low cost during the effective time period. In this case, it can be determined as an idle time period.

[0044] The steps for analyzing the data based on the total number of vehicle accesses to determine the representative number of accesses include: Step S300: Selecting a vehicle access number from all vehicle access numbers as a standard access number, and defining the remaining vehicle access numbers as comparative access numbers.

[0045] Define the standard access quantity and compare the access quantity to distinguish the access quantities of different vehicles, which is convenient for subsequent analysis.

[0046] Step S301: performing difference calculation according to the standard access quantity and the comparison access quantity to determine the difference access quantity, and performing mean calculation according to all the difference access quantities to determine the difference average quantity.

[0047] The difference access quantity is the difference between the standard access quantity and the comparison access quantity, and the difference is an absolute value. The difference average quantity is the average value of all the difference access quantities.

[0048] Step S302: determining the average number of differences with the smallest value according to the sorting rule, and defining the standard access number corresponding to the average number of differences as the representative access number.

[0049] The sorting rules can be used to determine the average number of differences with the smallest value, that is, the standard access number corresponding to the average number of differences is closest to the remaining comparison access numbers, that is, the standard access number is the most representative of the remaining comparison access numbers, and that is, the standard access number is the most representative of the theoretical number of electric vehicles that may be connected during the detection time period. At this time, it can be defined as the representative access number.

[0050] The method further comprises a step of determining a benchmark quantity, which step comprises: Step S400: Obtain the socket usage status of each socket.

[0051] The socket usage status refers to the status of each charging socket of the charging station, which includes a status when it is in use and a status when it is not in use.

[0052] Step S401: when the socket usage state is consistent with the preset idle state, the corresponding socket is defined as an idle socket, and the idle sockets are counted to determine the idle number.

[0053] The idle state refers to the socket usage state when the socket is not connected to the charger. When the socket usage state is consistent with the idle state, it means that the socket can also be used for charging other electric vehicles. At this time, it is defined as an idle socket to distinguish different sockets for subsequent analysis; the idle number is the total number of idle sockets determined.

[0054] Step S402: construct a socket usage time period according to the current time point and the front end point of the detection time period.

[0055] The socket use time period is a time period between the arrival detection time period, and the time period is constructed with the current time point and the front end point of the detection time period as two end points.

[0056] Step S403: determining a similar usage time period in the historical interval according to the socket usage time period, and obtaining the socket usage quantity in the similar usage time period.

[0057] The similar usage time period is a time period in the historical interval that is similar to the socket usage time period type. The determination method is the same as the determination method for the similar time period, which will not be repeated here; the number of socket usage is the number of sockets used in the similar usage time period, that is, the number of electric vehicles that need to be charged in the similar usage time period.

[0058] Step S404: input the usage quantity of each socket into a preset usage prediction model in chronological order from front to back to output a subsequent prediction quantity.

[0059] The prediction model used is a model set up in advance by the staff to predict the usage of the sockets. The number of sockets used is input in chronological order to know the changes in the number of sockets used, so that the number of electric vehicles that may be connected during the socket usage period can be predicted, and this number is the subsequent predicted number. The method of constructing the prediction model is a conventional technical means for personnel in this field and will not be elaborated here.

[0060] Step S405: performing difference calculation based on the idle quantity and the subsequent predicted quantity to determine the reference quantity.

[0061] The benchmark quantity is the value obtained by subtracting the subsequent predicted quantity from the idle quantity. When the value is negative, it is uniformly treated as zero.

[0062] The steps of determining the charging starting point according to the required charging time and the idle time period include: Step S500: Obtain the order user.

[0063] The order user is the user who currently scans the code to pay and needs to charge the electric vehicle.

[0064] Step S501: Determine a valid reference order based on the order user and the current time point, and determine a disconnection time point in the valid reference order.

[0065] A valid reference order is an order among all the orders of the order-using user that has significance for reference in the current situation. For example, a holiday or a weekday is determined by the current time point, and then orders that are also holiday days or weekdays are filtered out from all orders; the disconnection time point is the time point when the charger leaves the corresponding socket, which is also the time point when the user picks up the vehicle for use.

[0066] Step S502: Compare each disconnection time point with the rear end point of the idle time period to determine the point direction, and count the point directions consistent with the preset postponement direction to determine the postponement quantity.

[0067] The point direction is the direction from the rear end point of the idle time period to the disconnection time point, the delay direction is the backward direction along the time axis, and the delay quantity is the total number of disconnection time points behind the rear end point of the idle time period on the time axis.

[0068] Step S503: Count all disconnection time points to determine the total number of disconnections, and calculate the delay ratio based on the delay number and the total number of disconnections.

[0069] The total number of disconnections is the total number of all determined disconnection time points, and the delay ratio is the ratio of the disconnection time point behind the back end point in the idle time period to all disconnection time points, which is determined by dividing the delay number by the total number of disconnections.

[0070] Step S504: Determine whether the delay ratio is greater than the preset demand upper limit ratio.

[0071] The demand upper limit ratio is the minimum delay ratio set by the staff to determine that most of the user's car pick-up time is at the rear time point of the back end point of the idle time period. The purpose of the judgment is to know whether the user will pick up the car during the idle time period.

[0072] Step S5041: If the delay ratio is not greater than the demand upper limit ratio, an advance processing signal is output.

[0073] When the delay ratio is not greater than the demand upper limit ratio, it means that the user may pick up the car during the idle time period. At this time, an advance processing signal can be output to mark the situation, which is convenient for subsequent processing.

[0074] Step S5042: If the delay ratio is greater than the upper limit ratio of the demand, the charging start point is determined by moving the required charging time forward from the rear end point of the idle time period.

[0075] When the delay ratio is greater than the demand upper limit ratio, it means that the user's car usage habit is basically not to pick up the car during the idle time period. Therefore, the required charging time can be moved forward by the rear end point of the idle time period to determine the charging starting point.

[0076] After the signal output is processed in advance, the electric vehicle intelligent charging method also includes: Step S600: defining the disconnection time point corresponding to when the point direction is inconsistent with the delay direction as the advance time point.

[0077] The advance time point is defined to distinguish different disconnection time points for the convenience of subsequent analysis.

[0078] Step S601: Determine the time interval between any two advance time points.

[0079] The time interval between points is the time interval between two advance time points.

[0080] Step S602: The advanced time points whose point interval time length is less than the preset reference interval time length are grouped into the same preset initially empty storage set.

[0081] The benchmark interval time is the maximum point interval time allowed when the distance between two advance time points is close, which is set by the staff. The relationship between the advance time points can be determined by summarizing the advance time points in a collection set, which is convenient for subsequent analysis. The summarization method is as follows: for example, there are three advance time points A, B, and C, among which the point interval time between A and B is less than the benchmark interval time, the point interval time between B and C is less than the benchmark interval time, and the point interval time between A and C is not less than the benchmark interval time. Since B, A, and C can all be summarized in the same collection set, A, B, and C can be summarized in the same collection set at the same time.

[0082] Step S603: Count the advance time points in each storage set to determine the number within the set, and count all the advance time points to determine the total advance number.

[0083] The internal quantity of the set is the number of advance time points in the storage set, and the total advance quantity is the total number of all determined advance time points.

[0084] Step S604: Count the internal quantity of the set and the total quantity in advance to determine the internal proportion, and define the storage set whose internal proportion is greater than the preset reference proportion as a valid set.

[0085] The internal proportion is the value obtained by dividing the internal quantity of the collection in the storage set by the total advance quantity. The benchmark proportion is the minimum internal proportion set by the staff to be required to identify the storage collection that occupies more advance time points. The effective set is defined to distinguish different storage collections for subsequent analysis.

[0086] Step S605: Determine the most forward time point in all valid sets, define the forward time point as the pick-up time point, and move the required charging time forward from the pick-up time point to determine the charging start point.

[0087] Determine the earliest time point in the valid set to determine the fastest time point at which the user may pick up the car in theoretical circumstances. At this time, it is defined as the pick-up time point to distinguish different advance time points, and the charging starting point is determined according to the charging time required to move forward from the pick-up time point, thereby ensuring that the electric vehicle can be charged well without affecting the subsequent use of the electric vehicle by users.

[0088] After the charging starting point is determined, the electric vehicle smart charging method also includes: Step S700: determining the start-to-start interval time length in a preset advance direction with the charging start point as the starting point and the front end point of the idle time period as the end point.

[0089] The advance direction is the direction pointing forward on the time axis, and the starting interval time is the interval time between the charging starting point and the front end point of the idle time period. When the direction corresponding to the charging starting point as the starting point and the front end point of the idle time period as the end point is inconsistent with the advance direction, the starting interval time is a negative value.

[0090] Step S701: Determine whether the start interval time is greater than zero.

[0091] The purpose of the judgment is to find out whether the charging starting point can be set forward.

[0092] Step S7011: If the starting interval time is not greater than zero, the determined charging starting point is maintained.

[0093] When the start interval time is not greater than zero, it means that the charging start point cannot be set earlier. At this time, the charging operation can be performed normally according to the determined charging start point.

[0094] Step S7012: If the starting interval time is greater than zero, determine whether the starting interval time is greater than a preset reserved time.

[0095] When the starting interval time is greater than zero, it means that the charging starting point can be set forward to reserve time for electric vehicles to charge in subsequent time periods, thereby reducing the situation where the required charging time is not accurately determined and causes a poor charging experience; the reserved time is the time set by the staff to prevent the required charging time from being inaccurately determined and requiring reserved processing. This time is a fixed value. The purpose of the judgment is to know whether the charging starting point can adjust the reserved time forward.

[0096] Step S70121: If the start interval time is greater than the reserved time, the charging start point is moved in the advance direction by the reserved time to update the charging start point.

[0097] When the starting interval time is greater than the reserved time, it means that the reserved time of the charging starting point can be adjusted forward, and the charging starting point can be updated normally.

[0098] Step S70122: If the starting interval time is not greater than the reserved time, the charging starting point is moved in the advance direction by the starting interval time to update the charging starting point.

[0099] When the starting interval time is not greater than the reserved time, it means that the distance ahead for adjusting the charging starting point cannot reach the reserved time. At this time, the charging starting point can be updated using the starting interval time.

[0100] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention provides an electric vehicle intelligent charging system, comprising: An acquisition module is used to acquire user demand patterns; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; When the judging module judges that the user demand mode is consistent with the preset intelligent charging mode, the processing module controls the socket to be powered on for a preset unit time, and enables the acquisition module to acquire the vehicle charging information within the unit time; The processing module inputs the vehicle charging information into a preset power estimation model to determine the remaining power of the vehicle, and inputs the vehicle charging information and the remaining power of the vehicle into a preset vehicle charging model to determine the required charging time; The processing module determines the theoretical end point according to the acquisition time point of the required charging time and the required charging time; The judging module judges whether the theoretical end point is within a preset idle time period; If the judgment module determines that the theoretical end point is not within the idle time period, the processing module controls the socket to continue to be powered on until the vehicle is fully charged; If the judgment module determines that the theoretical end point is within the idle time period, the processing module determines the charging start point according to the required charging time and the idle time period, and controls the socket to be powered off at the current time point, and controls the socket to be powered on at the charging start point until the vehicle is fully charged; An idle time period determination module is used to determine a more suitable idle time period; A representative access quantity determination module, used to determine the number of representative accesses for data analysis; A benchmark quantity determination module is used to determine an appropriate benchmark quantity according to the usage of the sockets; A charging starting point determination module is used to determine the charging starting point for charging the electric vehicle; An advance situation analysis module is used to analyze and process the situation after the advance processing signal is output; The charging starting point updating module is used to update the charging starting point to improve the rationality of subsequent charging.

[0101] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

Claims

1. A smart charging method for electric vehicles, characterized in that: include: Obtain user demand patterns; When the user demand mode is consistent with the preset intelligent charging mode, the socket is powered on for a preset unit time, and the vehicle charging information is obtained within the unit time; Inputting the vehicle charging information into a preset power estimation model to determine the remaining power of the vehicle, and inputting the vehicle charging information and the remaining power of the vehicle into a preset vehicle charging model to determine the required charging time; Determine the theoretical end point according to the acquisition time point of the required charging time and the required charging time; Determine whether the theoretical end point is within a preset idle time period; If the theoretical end point is not within the idle time period, the control socket continues to be powered until the vehicle is fully charged; If the theoretical end point is within the idle time period, the charging start point is determined based on the required charging time and the idle time period, and the socket is controlled to be powered off at the current time point, and the socket is controlled to be powered on at the charging start point until the vehicle is fully charged.

2. The electric vehicle intelligent charging method according to claim 1, characterized in that: The step of determining an idle time period is also included, and the step comprises: Get the time period of low power consumption; A detection time period of random width is established with the rear end point of the off-peak power consumption time period as the rear end point, and the width of the detection time period is defined as the detection width value; On a preset time axis, a historical interval with a width of a preset historical duration is established with the current time point as the rear end point, and a similar time period is determined in the historical interval according to the detection time period; Obtain the number of vehicles connected in each similar time period; Perform data analysis based on the number of all vehicle accesses to determine the number of representative accesses, and define the detection time period as a valid time period when the number of representative accesses is not greater than a preset benchmark number; The valid time period with the largest detection width value is determined according to a preset sorting rule, and the valid time period is determined as the idle time period.

3. The electric vehicle intelligent charging method according to claim 2, characterized in that: The steps for analyzing the data based on the total number of vehicle accesses to determine the representative number of accesses include: Selecting a vehicle access number from all vehicle access numbers as a standard access number, and defining the remaining vehicle access numbers as comparison access numbers; Performing a difference calculation based on the standard access quantity and the comparison access quantity to determine the difference access quantity, and performing an average calculation based on all the difference access quantities to determine the difference average quantity; The average number of differences with the smallest value is determined according to the sorting rule, and the standard access number corresponding to the average number of differences is defined as the representative access number.

4. The electric vehicle intelligent charging method according to claim 2, characterized in that: The method further comprises a step of determining a benchmark quantity, which step comprises: Get the socket usage status of each socket; When the socket usage state is consistent with the preset idle state, the corresponding socket is defined as an idle socket, and the idle sockets are counted to determine the idle number; Construct a socket usage time period based on the current time point and the front end of the detection time period; Determine a similar usage time period according to the socket usage time period in the historical interval, and obtain the socket usage quantity in the similar usage time period; Input the usage quantity of each socket from front to back in chronological order into a preset usage prediction model to output a subsequent prediction quantity; The baseline quantity is determined by performing a difference calculation based on the available quantity and the subsequent forecast quantity.

5. The electric vehicle intelligent charging method according to claim 1, characterized in that: The steps of determining the charging starting point according to the required charging time and the idle time period include: Get the order user; Determine the valid reference order based on the order user and the current time point, and determine the disconnection time point in the valid reference order; Compare each disconnection time point with the rear end point of the idle time period to determine the point direction, and count the point directions consistent with the preset delay direction to determine the delay quantity; Count all disconnection time points to determine the total number of disconnections, and calculate the delay ratio based on the delay number and the total number of disconnections; Determine whether the delay ratio is greater than the preset demand upper limit ratio; If the delay ratio is not greater than the demand upper limit ratio, an advance processing signal is output; If the delay ratio is greater than the upper limit ratio of demand, the charging starting point is determined by moving the required charging time forward from the rear end of the idle time period.

6. The electric vehicle intelligent charging method according to claim 5, characterized in that: After the signal output is processed in advance, the electric vehicle intelligent charging method also includes: The disconnection time point corresponding to the point direction being inconsistent with the delayed direction is defined as the advance time point; Determine the time interval between any two advance time points; The advance time points whose point interval time is less than the preset reference interval time are summarized into the same preset initially empty collection set; Count the advance time points in each collection set to determine the number within the set, and count all the advance time points to determine the total advance number; Count the internal quantity of the set and the total quantity in advance to determine the internal proportion, and define the storage set whose internal proportion is greater than the preset benchmark proportion as a valid set; The most forward time point is determined in all valid sets, and the forward time point is defined as the pick-up time point. The charging start point is determined by moving the pick-up time point forward by the required charging time.

7. The electric vehicle intelligent charging method according to claim 6, characterized in that: After the charging starting point is determined, the electric vehicle smart charging method also includes: Determine the start-to-start interval length in the preset advance direction with the charging start point as the starting point and the front end point of the idle time period as the end point; Determine whether the start-to-start interval is greater than zero; If the starting interval time is not greater than zero, the determined charging starting point is maintained; If the starting interval time is greater than zero, determine whether the starting interval time is greater than the preset reserved time; If the starting interval time is greater than the reserved time, the charging starting point is moved in the advance direction by the reserved time to update the charging starting point; If the starting interval time is not greater than the reserved time, the charging starting point is moved in the advance direction by the starting interval time to update the charging starting point.

8. An electric vehicle intelligent charging system, characterized in that: include: An acquisition module is used to acquire user demand patterns; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; When the judging module judges that the user demand mode is consistent with the preset intelligent charging mode, the processing module controls the socket to be powered on for a preset unit time, and enables the acquisition module to acquire the vehicle charging information within the unit time; The processing module inputs the vehicle charging information into a preset power estimation model to determine the remaining power of the vehicle, and inputs the vehicle charging information and the remaining power of the vehicle into a preset vehicle charging model to determine the required charging time; The processing module determines the theoretical end point according to the acquisition time point of the required charging time and the required charging time; The judging module judges whether the theoretical end point is within a preset idle time period; If the judgment module determines that the theoretical end point is not within the idle time period, the processing module controls the socket to continue to be powered on until the vehicle is fully charged; If the judgment module determines that the theoretical end point is within the idle time period, the processing module determines the charging starting point according to the required charging time and the idle time period, and controls the socket to cut off power at the current time point, and controls the socket to power on at the charging starting point until the vehicle is fully charged.

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