Electric vehicle slow charging predetermined charging function intelligent identification control method, device and equipment and storage medium

Abstract

The invention discloses an intelligent identification control method, device and equipment for a slow charging predetermined charging function of an electric vehicle and a storage medium, and relates to the technical field of electric vehicle charging, and the method comprises the steps: obtaining predetermined feature information, vehicle time information and vehicle machine charging time; identifying a vehicle charging intention and determining a vehicle count value based on the predetermined feature information, the vehicle time information and the vehicle machine charging time; and controlling the vehicle to intelligently trigger a target charging process based on the vehicle count value. The charging intention of the user is intelligently recognized, the vehicle count value is determined, the target charging process is automatically triggered, manual operation of the user in the charging process is reduced, the charging strategy is automatically adjusted by learning the charging habit of the user so as to adapt to the actual requirement of the user, the charging intelligence and convenience are improved, and the user experience is improved. And the after-sales complaint risk caused by misunderstanding operation is reduced, and the flexibility of the charging strategy and the user experience are improved, so that the charging process is more personalized and convenient.

Description

Technical Field

[0001] The present application relates to the technical field of electric vehicle charging, and in particular to an intelligent identification and control method, device, equipment and storage medium for a slow charging predetermined charging function of an electric vehicle. Background Art

[0002] With the popularity of electric vehicles, the demand for charging is growing, and users are increasingly demanding charging convenience. As a way to optimize the charging experience, the slow charging scheduled charging function allows users to set the charging time in advance so that they can charge during low-peak hours of electricity demand or when electricity prices are low, thereby saving costs and reducing the impact on the power grid. However, the existing slow charging scheduled charging function often requires users to manually start charging after arriving at the charging station or wait for the scheduled time to arrive, which limits the flexibility and convenience of charging. Therefore, intelligent identification and control of the slow charging scheduled charging function of electric vehicles is a must.

[0003] At present, the slow charging scheduled charging function of electric vehicles usually relies on users to set the scheduled time on the car computer and then connect the charging gun after arriving at the charging station. If the scheduled time has not arrived, charging will not start automatically. Users need to manually click the "Charge Now" option on the car computer interface or turn off the scheduled charging function to charge immediately.

[0004] However, although this operation mode can meet the basic scheduled charging needs, it lacks intelligent processing and cannot automatically adapt to the user's charging habits and on-site conditions. Users need to manually operate to start charging, which increases the user's usage cost. If the user forgets that he has set up scheduled charging, he may be confused because he cannot charge immediately, or even mistakenly think that it is a vehicle failure. In addition, due to the lack of learning and adaptation to the user's charging habits, it is unable to intelligently identify the user's charging intentions, resulting in a charging experience that is not personalized and intelligent enough. In some cases, such as when the user repeatedly plugs and unplugs the charging gun, it is unable to effectively identify and handle such abnormal situations. Therefore, how to intelligently identify the user's charging intentions and automatically adjust the charging strategy for slow charging scheduled charging of electric vehicles has become an urgent problem to be solved.

[0005] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0006] The main purpose of this application is to provide an intelligent identification and control method, device, equipment and storage medium for the slow charging scheduled charging function of an electric vehicle, aiming to solve the technical problem of how to intelligently identify the user's charging intention and automatically adjust the charging strategy for the slow charging scheduled charging of the electric vehicle.

[0007] To achieve the above objectives, the present application proposes an intelligent identification and control method for a slow charging scheduled charging function of an electric vehicle, the method comprising:

[0008] Obtaining predetermined feature information, vehicle time information, and vehicle charging time;

[0009] Identify the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle charging time to determine the vehicle count value;

[0010] The vehicle is controlled to intelligently trigger a target charging process based on the vehicle count value.

[0011] In one embodiment, the step of obtaining predetermined characteristic information, vehicle time information and vehicle charging time includes:

[0012] Obtaining the scheduled function status information, the scheduled time information, the first timing information, the second timing information, the current charging time of the vehicle and the user's scheduled stay time;

[0013] Determining predetermined characteristic information based on the predetermined functional state information and the predetermined time information;

[0014] determining vehicle time information based on the first timing information and the second timing information;

[0015] The vehicle computer charging time is determined based on the current charging time of the vehicle computer and the scheduled stay time of the user.

[0016] In one embodiment, the step of identifying the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle charging time to determine the vehicle count value includes:

[0017] Get charging signal information;

[0018] Determine the vehicle charging intention based on the charging signal information, the predetermined characteristic information and the vehicle time information, and obtain a vehicle count value;

[0019] The vehicle count value is adjusted based on the vehicle charging time to determine the user's habits.

[0020] In one embodiment, the step of determining the vehicle charging intention based on the charging signal information, the predetermined characteristic information and the vehicle time information and obtaining the vehicle count value comprises:

[0021] When the predetermined function status information in the predetermined feature information is off or the predetermined time information in the predetermined feature information is used up, the vehicle charging intention is direct charging, and the vehicle count value is cleared;

[0022] When the predetermined function status information in the predetermined feature information is turned on and the predetermined time information in the predetermined feature information is not used up, the vehicle charging intention is predetermined charging, the vehicle operating condition status information is determined based on the vehicle time information and the charging signal information, and the vehicle count value is determined based on the vehicle operating condition status information.

[0023] In one embodiment, the step of determining the vehicle operating state information based on the vehicle time information and the charging signal information, and determining the vehicle count value based on the vehicle operating state information includes:

[0024] When the first timing information in the vehicle time information is not less than a preset first timing threshold, the vehicle operating state information is that the slow charging gun is fully connected, and the vehicle count value is obtained by accumulating the number of charging times based on the charging signal information;

[0025] When the second timing information in the vehicle time information is not less than a preset second timing threshold, the vehicle operating state information clears the vehicle count value to avoid switching to automatic charging.

[0026] In one embodiment, the step of adjusting the vehicle count value based on the vehicle charging time to determine the user's habits includes:

[0027] When the current charging time of the vehicle computer is not equal to the user's scheduled stay time in the vehicle computer charging time, the vehicle count value is reduced;

[0028] When the current charging time of the vehicle computer is equal to the predetermined stay time of the user in the vehicle computer charging time, the vehicle count value is increased.

[0029] In one embodiment, the step of adjusting the vehicle count value based on the vehicle charging time to determine the user's habits further includes:

[0030] Acquire software factory setting information and a charging cycle, wherein the software factory setting information includes a first target scheduled charging stay time, a second target scheduled charging stay time, a first count value, and a second count value;

[0031] When the charging signal information indicates that the signal is normal, increasing the vehicle count value;

[0032] When the second count value in the software factory setting information is equal to zero, the current charging time of the vehicle in the vehicle charging time is used as the first target scheduled stay charging time, the first count value is increased, and the second count value is assigned to one;

[0033] When the second count value in the software factory setting information is not equal to zero, increasing the first count value;

[0034] A second target scheduled stop charging time is calculated based on the first count value and the charging cycle, the second target scheduled stop charging time is assigned to the first target scheduled stop charging time, and the first count value is cleared.

[0035] In addition, to achieve the above-mentioned purpose, the present application also proposes an intelligent recognition and control device for a slow-charging scheduled charging function of an electric vehicle, the intelligent recognition and control device for a slow-charging scheduled charging function of an electric vehicle comprising:

[0036] An acquisition module, used to acquire predetermined characteristic information, vehicle time information and vehicle charging time;

[0037] A processing module, configured to identify a vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle charging time to determine a vehicle count value;

[0038] An execution module is used to control the vehicle to intelligently trigger a target charging process based on the vehicle count value.

[0039] In addition, to achieve the above-mentioned purpose, the present application also proposes an intelligent identification and control device for the slow charging scheduled charging function of an electric vehicle, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the intelligent identification and control method for the slow charging scheduled charging function of an electric vehicle as described above.

[0040] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the intelligent identification and control method of the slow charging scheduled charging function of an electric vehicle as described above are implemented.

[0041] One or more technical solutions proposed in this application have at least the following technical effects:

[0042] The present application proposes an intelligent identification and control method for the electric vehicle slow charging scheduled charging function, which obtains predetermined feature information, vehicle time information and vehicle-machine charging time; identifies the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle-machine charging time to determine the vehicle count value; and controls the vehicle to intelligently trigger the target charging process based on the vehicle count value. The present application obtains predetermined feature information, vehicle time information and vehicle-machine charging time, intelligently identifies the user's charging intention and determines the vehicle count value, thereby automatically triggering the target charging process, reducing the user's manual operation during the charging process, and achieving a more intelligent charging experience. By learning the user's charging habits, the charging strategy is automatically adjusted to adapt to the user's actual needs, thereby reducing the user's learning cost for the scheduled charging function, improving the intelligence and convenience of charging, and reducing the risk of after-sales complaints caused by misunderstanding operations. At the same time, it improves the flexibility of the charging strategy and user experience, making the charging process more personalized and convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0045] Figure 1 A flow chart of the first embodiment of the intelligent identification and control method for the slow charging scheduled charging function of an electric vehicle provided in the present application;

[0046] Figure 2 A flow chart of the second embodiment of the intelligent identification and control method for the slow charging scheduled charging function of an electric vehicle provided in the present application;

[0047] Figure 3 This is a control flow chart of the intelligent identification control method for the electric vehicle slow charging scheduled charging function VCU self-learning user scheduled charging habits in this application;

[0048] Figure 4 A schematic diagram of a simplified flow chart of an intelligent identification and control method for a slow charging scheduled charging function of an electric vehicle provided in an embodiment of the present application;

[0049] Figure 5 This is a schematic diagram of the module structure of the intelligent identification control device for the slow charging predetermined charging function of an electric vehicle according to an embodiment of the present application;

[0050] Figure 6This is a schematic diagram of the device structure of the hardware operating environment involved in the intelligent identification and control method for the slow charging predetermined charging function of an electric vehicle in the embodiment of the present application.

[0051] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0053] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0054] The main solution of the embodiment of the present application is: obtaining predetermined feature information, vehicle time information and vehicle charging time; identifying the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle charging time to determine the vehicle count value; and controlling the vehicle to intelligently trigger the target charging process based on the vehicle count value.

[0055] In this embodiment, for the convenience of description, the following description is made by taking the intelligent identification control device for identifying the slow charging scheduled charging function of an electric vehicle as the execution subject.

[0056] Although the existing technology can meet basic scheduled charging needs, it lacks intelligent processing and cannot automatically adapt to users' charging habits and on-site conditions. Users need to manually operate to start charging, which increases the user's usage cost. If the user forgets that he has set up scheduled charging, he may be confused because he cannot charge immediately, or even mistakenly think that there is a vehicle failure. In addition, the technology lacks learning and adaptation to users' charging habits and cannot intelligently identify users' charging intentions, resulting in a charging experience that is not personalized and intelligent enough. In some cases, such as when users repeatedly plug and unplug the charging gun, the technology cannot effectively identify and handle such abnormal situations.

[0057] The present application provides a solution to obtain predetermined feature information, vehicle time information and vehicle-computer charging time; identify the vehicle charging intention and determine the vehicle count value based on the predetermined feature information, the vehicle time information and the vehicle-computer charging time; and control the vehicle to intelligently trigger the target charging process based on the vehicle count value.

[0058] It can be seen from the above embodiments that the present application obtains predetermined feature information, vehicle time information and vehicle charging time, intelligently identifies the user's charging intention and determines the vehicle count value, thereby automatically triggering the target charging process, reducing the user's manual operations during the charging process, and achieving a more intelligent charging experience. By learning the user's charging habits, the charging strategy is automatically adjusted to adapt to the user's actual needs, thereby reducing the user's learning cost for the predetermined charging function, improving the intelligence and convenience of charging, and reducing the risk of after-sales complaints caused by misunderstanding operations. At the same time, it improves the flexibility of the charging strategy and user experience, making the charging process more personalized and convenient.

[0059] Based on this, the embodiment of the present application provides an intelligent identification and control method for the slow charging scheduled charging function of an electric vehicle, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the intelligent identification and control method for the slow charging scheduled charging function of an electric vehicle of the present application.

[0060] In this embodiment, the electric vehicle slow charging predetermined charging function intelligent identification and control method comprises steps S10 to S30:

[0061] Step S10, obtaining predetermined characteristic information, vehicle time information and vehicle charging time;

[0062] It should be noted that the predetermined characteristic information reflects the characteristics of the vehicle's predetermined charging status, the vehicle time information reflects the characteristics of the vehicle's current time status, and the vehicle charging time reflects the characteristics of the vehicle's current charging status and the time the user waits for the scheduled charging.

[0063] It can be understood that the predetermined feature information includes predetermined function status information and predetermined time information, so as to determine whether the current period is within the effective period of predetermined charging. The vehicle time information includes first timing information and second timing information, so as to determine the real-time status of the vehicle, such as whether the charging time set by the user has been reached. The vehicle charging time includes the current charging time of the vehicle and the predetermined stay time of the user, so as to determine the user's charging habits and intentions.

[0064] For ease of understanding, the example of obtaining predetermined characteristic information, vehicle time information and vehicle charging time is used for explanation, wherein the information collection device is an information collection module, and the storage device is a memory.

[0065] The information collection device obtains predetermined function status information, predetermined time information, first timing information, second timing information, current charging time of the vehicle computer and predetermined stay time of the user, determines predetermined feature information based on the predetermined function status information and the predetermined time information, determines vehicle time information based on the first timing information and the second timing information, determines vehicle computer charging time based on the current charging time of the vehicle computer and the predetermined stay time of the user, stores the predetermined feature information, vehicle time information and vehicle computer charging time in a memory, and performs subsequent processing based on the predetermined feature information, vehicle time information and vehicle computer charging time.

[0066] In a feasible implementation, step S10 may include steps A11 to A14:

[0067] Step A11, obtaining the scheduled function status information, the scheduled time information, the first timing information, the second timing information, the current charging time of the vehicle machine and the scheduled stay time of the user;

[0068] It should be noted that the scheduled function status information reflects the characteristics of the activation state of the reservation function, the scheduled time information reflects the characteristics of the specific time of scheduled charging set by the user, the first timing information reflects the characteristics of the time when the user connects the slow charging gun to the charging pile to start timing, the second timing information reflects the characteristics of the timing starting after the scheduled time arrives, the current charging time of the vehicle computer reflects the characteristics of the current charging time point of the vehicle, and the user's scheduled stay time reflects the characteristics of the waiting time set by the user for scheduled charging to the current time.

[0069] Step A12, determining predetermined characteristic information based on the predetermined function state information and the predetermined time information;

[0070] It can be understood that the predetermined function status information is used to determine whether the user uses the predetermined charging service, and the predetermined time information is used to determine whether the scheduled charging time has arrived during charging.

[0071] Step A13, determining vehicle time information based on the first timing information and the second timing information;

[0072] It can be understood that the first timing information is used to monitor whether the state of the slow charging gun connection is stable, and the second timing information is used to monitor the time interval from the scheduled time to the actual charging operation.

[0073] Step A14, determining the vehicle computer charging time based on the vehicle computer current charging time and the user's scheduled stay time.

[0074] It can be understood that the current charging time of the vehicle computer is used to compare with the scheduled time to determine whether charging needs to be started, and the user's scheduled stay time is used for the system to identify the user's charging intention and represent the urgency of charging.

[0075] Step S20, identifying the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle charging time to determine the vehicle count value;

[0076] It should be noted that the vehicle count value reflects the characteristics of the quantitative value corresponding to the identified charging intention, and is used to determine whether to trigger the charging process.

[0077] It is understandable that if the scheduled charging function is turned on and the scheduled time has not yet arrived, the charging intention is judged to be scheduled charging, and the system will wait for the scheduled time. If the scheduled time has arrived or the scheduled charging function is not turned on, the charging intention is judged to be direct charging, and the system directly enters the slow charging high-voltage process.

[0078] In addition, it should be noted that if the current charging time of the vehicle matches the user's scheduled stay time, indicating that the user is ready to charge, the system will increase the vehicle count value. If it does not match, the system will reduce the vehicle count value.

[0079] For ease of understanding, the determination of vehicle count values ​​is taken as an example for explanation, wherein the information collection device is an information collection module, the storage device is a memory, and the processing device is a processing module.

[0080] The information collection device obtains predetermined characteristic information, the vehicle time information and the vehicle computer charging time, obtains charging signal information, judges the vehicle charging intention based on the charging signal information, the predetermined characteristic information and the vehicle time information, obtains a vehicle count value, adjusts the vehicle count value based on the vehicle computer charging time to judge the user habit, and performs subsequent processing based on the vehicle count value.

[0081] After waking up, the vehicle controller performs self-check and clears the internal counter Cnt of the vehicle controller. After the user connects the slow charging gun, the vehicle controller starts the internal timers T1 and T2 to start timing to obtain the first timing information and the second timing information, and obtains the charging signal information, the predetermined feature information and the vehicle time information. When the predetermined function status information in the predetermined feature information is closed or the predetermined time information in the predetermined feature information is used up, the vehicle charging intention is direct charging, and the vehicle count value is cleared. When the predetermined function status information in the predetermined feature information is turned on and the predetermined time information in the predetermined feature information is not used up, the vehicle charging intention is scheduled charging. The vehicle operating condition status information is determined based on the vehicle time information and the charging signal information, and the vehicle count value is determined based on the vehicle operating condition status information. The first timing information in the vehicle time information is When the second timing information in the vehicle time information is not less than the preset second timing threshold, the vehicle operating status information is that the slow charging gun is fully connected, excluding the abnormal situation that the user repeatedly plugs and unplugs the gun, and the vehicle count value is obtained by accumulating the number of charging times based on the charging signal information. By receiving the CP signal of the OBC, it is confirmed that the user is charging the vehicle, and the internal counter Cnt of the vehicle controller is increased by 1. When the second timing information in the vehicle time information is not less than the preset second timing threshold, the vehicle operating status information is to avoid automatic charging, and the counter Cnt is cleared to avoid Cnt accumulation and automatically transferring the scheduled charging function to immediate charging. When the current charging time of the vehicle in the vehicle charging time is not equal to the user's scheduled stay time, the vehicle count value is reduced, and when the current charging time of the vehicle in the vehicle charging time is equal to the user's scheduled stay time, the vehicle count value is increased.

[0082] Step S30, controlling the vehicle to intelligently trigger a target charging process based on the vehicle count value.

[0083] It is understandable that if the vehicle count value reaches or exceeds the preset threshold, the system will consider that the user currently has a charging demand and immediately trigger the charging process. By intelligently judging the user's charging intention, the system can automatically start charging without the need for manual intervention by the user, thereby improving the user experience and reducing the complexity of the user's operations.

[0084] In addition, it should be noted that, based on the user's reaction and feedback to the charging process, the evaluation algorithm and threshold of the vehicle count value can be continuously adjusted to more accurately predict and meet the user's charging needs.

[0085] For ease of understanding, the acquisition of vehicle count values ​​is taken as an example for explanation, wherein the information collection device is the information collection module, the storage device is the memory, and the execution device is the execution module.

[0086] The information acquisition module obtains the vehicle count value and stores it in the memory, and controls the vehicle to intelligently trigger the target charging process based on the vehicle count value. If the vehicle count value reaches or exceeds the preset threshold, the system will consider that the user currently has a charging demand. When the current charging time of the vehicle computer is not equal to the user's scheduled stay time in the vehicle computer charging time, the judgment of the Cnt value can be reduced. For example, when Cnt≥2, the vehicle controller recognizes the user's intention to charge immediately. When the current charging time of the vehicle computer is equal to the user's scheduled stay time in the vehicle computer charging time, the Cnt value needs to be increased. For example, when Cnt≥3, the vehicle controller recognizes the user's intention to charge immediately, immediately triggers the slow charging high-voltage process, and clears the vehicle count value.

[0087] The intelligent identification and control method of the electric vehicle slow charging scheduled charging function proposed in this embodiment obtains predetermined feature information, vehicle time information and vehicle-machine charging time; identifies the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle-machine charging time to determine the vehicle count value; and controls the vehicle to intelligently trigger the target charging process based on the vehicle count value. The technical problem of how to identify the charging intention and perform intelligent charging is solved. Compared with the prior art, the present application intelligently identifies the charging intention of the electric vehicle by obtaining the predetermined feature information, the vehicle time information and the vehicle-machine charging time, and determines the vehicle count value, thereby automatically controlling the charging process, and can intelligently identify the user's charging intention, automatically convert the scheduled charging state to immediate charging, without the user frequently operating the vehicle machine, thereby improving the intelligence of the vehicle's scheduled charging function, and improving the convenience and efficiency of charging. This strategy can be used by all new energy vehicle models, and reduces the user's learning cost for the scheduled charging function, reduces the risk of after-sales complaints, and can also be used as a promotional selling point.

[0088] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction and will not be repeated later.

[0089] In this embodiment, refer to Figure 2 , Figure 2 This is a flow chart of the second embodiment of the intelligent identification and control method for the slow charging scheduled charging function of an electric vehicle in this application, wherein step S20 specifically includes steps S21 to S23:

[0090] Step S21, obtaining charging signal information;

[0091] It should be noted that the charging signal information reflects the characteristics of the signal expected to meet the charging characteristic state, including the charging gun connection state, the availability of the charging pile and the state of the power supply.

[0092] It can be understood that by detecting the charging signal through the vehicle's built-in sensors and control unit, it can be ensured that the charging process can be carried out safely. If the charging signal is normal, it indicates that the vehicle is ready for charging and the connection between the charging pile and the vehicle is normal. If the charging signal is abnormal, the system can further diagnose the problem or prompt the user to check the charging equipment.

[0093] For ease of understanding, the acquisition of charging signal information is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, and the storage device is a memory.

[0094] The information collection device obtains charging signal information by receiving the CP signal of the OBC and stores it in a memory, confirms that the user is charging the vehicle based on the charging signal information, and performs subsequent processing based on the charging signal information.

[0095] Step S22, judging the vehicle charging intention based on the charging signal information, the predetermined characteristic information and the vehicle time information, and obtaining a vehicle count value;

[0096] It can be understood that by analyzing the charging signal information, predetermined feature information and vehicle time information, the system can intelligently determine whether the vehicle is ready to start charging. If the scheduled charging function is turned off or the reservation time has passed, the system will identify the charging intention as direct charging and reset the vehicle count value; if the scheduled charging function is turned on and the time has not arrived, the system will determine whether the vehicle is connected to the charging gun based on the vehicle time and charging signal, and accumulate the number of charging times to obtain the vehicle count value, so as to make adjustments based on the vehicle's operating status information to characterize the vehicle's charging intention and decide whether to trigger the charging process.

[0097] For ease of understanding, the acquisition of charging signal information, predetermined characteristic information and vehicle time information is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the processing device is a processing module.

[0098] The information acquisition module acquires charging signal information, predetermined feature information and vehicle time information and stores them in a memory. When the predetermined function status information in the predetermined feature information is off or the predetermined time information in the predetermined feature information is used up, the vehicle charging intention is direct charging, and the vehicle count value is cleared. When the predetermined function status information in the predetermined feature information is on and the predetermined time information in the predetermined feature information is not used up, the vehicle charging intention is scheduled charging. The vehicle operating state information is determined based on the vehicle time information and the charging signal information, and the vehicle count value is determined based on the vehicle operating state information. When the first timing information in the vehicle time information is not less than the preset first timing threshold, the vehicle operating state information is that the slow charging gun is fully connected. The vehicle count value is obtained by accumulating the number of charging times based on the charging signal information. When the second timing information in the vehicle time information is not less than the preset second timing threshold, the vehicle operating state information is to avoid switching to automatic charging, the vehicle count value is cleared, and subsequent processing is performed based on the vehicle count value.

[0099] In a feasible implementation, step S22 may include steps B11 to B12:

[0100] Step B11, when the predetermined function status information in the predetermined feature information is off or the predetermined time information in the predetermined feature information is used up, the vehicle charging intention is direct charging, and the vehicle count value is cleared;

[0101] It is understandable that when the vehicle charging intention is direct charging, the system will directly enter the high-voltage slow charging process and reset the vehicle count value to zero, intelligently identify user intentions and respond quickly, thereby improving user experience and reducing user dissatisfaction caused by waiting for appointment time.

[0102] Step B12, when the predetermined function status information in the predetermined feature information is turned on and the predetermined time information in the predetermined feature information is not used up, the vehicle charging intention is predetermined charging, the vehicle operating condition status information is determined based on the vehicle time information and the charging signal information, and the vehicle count value is determined based on the vehicle operating condition status information.

[0103] It is understandable that when the vehicle's charging intention is scheduled charging, the system will wait for the appointment time, intelligently identify the user's scheduled charging intention, and automatically adjust the charging strategy to adapt to the scheduled charging time set by the user. By considering the real-time status of the vehicle and the user's scheduled charging intention, the charging strategy can be optimized to ensure that the charging process meets the user's expectations and efficiently utilizes electricity resources, providing a more intelligent and personalized charging experience.

[0104] In a feasible implementation, step B12 may include steps C11 to C12:

[0105] Step C11, when the first timing information in the vehicle time information is not less than the preset first timing threshold, the vehicle operating state information is that the slow charging gun is fully connected, and the vehicle count value is obtained by accumulating the number of charging times based on the charging signal information;

[0106] It can be understood that the first timing information is the timing information that starts after the vehicle is connected to the charging gun. The system checks whether the first timing information in the vehicle time information reaches the preset first timing threshold to confirm whether the charging gun is fully connected. If the first timing information reaches or exceeds the preset first timing threshold, the system updates the vehicle's operating status information to indicate that the slow charging gun is fully connected, indicating that the vehicle is already in a chargeable state and that the connection between the charging gun and the vehicle is stable and effective. The charging times are accumulated based on the charging signal information, and the vehicle count value is increased to record the number of times the vehicle is ready to charge. The charging process is started by automatically detecting the connection status of the charging gun and updating the vehicle's charging count value. The user's charging intention is clarified by accumulating the charging times, thereby reducing the manual checks and operations required by the user and improving the user experience.

[0107] Step C12: when the second timing information in the vehicle time information is not less than a preset second timing threshold, the vehicle operating state information clears the vehicle count value to avoid switching to automatic charging.

[0108] It can be understood that the second timing information is the time after the scheduled charging time. The second timing information in the vehicle time information is checked to see whether it has reached the preset second timing threshold to determine whether charging can start. If the second timing information reaches or exceeds the preset second timing threshold, the system will update the vehicle's operating status information, indicating that automatic switching to the charging state should be avoided at this time, and the vehicle count value will be cleared to zero, and the triggering of the automatic charging process will be suspended to give the user more time to decide whether to start charging, or allow the system to trigger charging at a more appropriate time. If the user does not show the intention to charge immediately, the system will not automatically start charging, but will remain in a waiting state to avoid unnecessary energy waste. Through intelligent judgment and timely reset, the charging experience is optimized to ensure that the charging process is more in line with user expectations and actual needs.

[0109] Step S23, adjusting the vehicle count value based on the vehicle charging time and judging the user's habit.

[0110] It should be noted that if Figure 3 As shown, Figure 3For this application, the control flow chart of the VCU self-learning user's scheduled charging habits of the electric vehicle slow charging scheduled charging function intelligent identification control method is provided. The VCU software factory settings are set. The VCU recognizes that the vehicle computer has turned on the scheduled charging function, and determines whether the CP signal of the OBC is normal, confirms that the user has completed a scheduled charging action, and initializes the value of T5 by judging the value of Cnt2. After completing the charging cycle, such as after collecting 30 scheduled charging data, the VCU calculates that within the current statistical period, the user connects the slow charging gun to wait for the scheduled charging probability. Time period T10, and the value is assigned to T5, Cnt1 = 0, after which the VCU starts self-learning for the next cycle.

[0111] It is understandable that the VCU stores the time period in which the vehicle computer is currently located, using a twenty-hour system with one hour as a time period. Taking into account the number of samples and changes in user habits, the VCU self-learns the user's scheduled charging habits with 30 scheduled charges as a cycle.

[0112] For ease of understanding, the example of obtaining the vehicle charging time is used for explanation, wherein the information collection device is the information collection module, the storage device is the memory, and the processing device is the processing module.

[0113] The information acquisition module obtains the first target scheduled charging stop time, the second target scheduled charging stop time, the first count value and the second count value, sets the VCU software factory settings, determines the software factory settings information based on the first target scheduled charging stop time, the second target scheduled charging stop time, the first count value and the second count value, obtains the charging cycle and the vehicle charging time, the VCU recognizes that the vehicle has turned on the scheduled charging function, and determines whether the CP signal of the OBC is normal. When the charging signal information is normal, the vehicle count value is increased to confirm that the user has completed a scheduled charging action, and the value of T5 is initialized by judging the value of Cnt2. After completing the collection of the scheduled charging data of the charging cycle, the VCU calculates the current statistical cycle. During the period, the user connects the slow charging gun to wait for the time period T10 with the highest probability of scheduled charging, and assigns it to T5, Cnt1=0. After that, the VCU starts self-learning in the next cycle. When the second count value in the software factory setting information is equal to zero, the current charging time of the vehicle in the vehicle charging time is used as the first target scheduled stay charging time, the first count value is increased, and the second count value is assigned to one. When the second count value in the software factory setting information is not equal to zero, the first count value is increased, and the second target scheduled stay charging time is calculated based on the first count value and the charging cycle, the second target scheduled stay charging time is assigned to the first target scheduled stay charging time, and the first count value is cleared.

[0114] In a feasible implementation, step S23 may include steps D11 to D12:

[0115] Step D11, when the current charging time of the vehicle computer is not equal to the user's scheduled stay time in the vehicle computer charging time, the vehicle count value is reduced;

[0116] It is understandable that if the current charging time of the vehicle computer is not the scheduled time the user is waiting for, it means that the charging conditions have not yet met the user's predetermined charging intention, so the vehicle count value is adjusted and the charging process is more flexibly scheduled to adapt to the user's actual needs and the load conditions of the power grid, thereby improving the user's charging experience and reducing unnecessary impact on the power grid, more accurately reflecting the user's charging intention and charging conditions, and thus optimizing the entire charging process.

[0117] Step D12, when the current charging time of the vehicle computer is equal to the user's scheduled stay time in the vehicle computer charging time, the vehicle count value is increased.

[0118] It can be understood that if the current charging time of the vehicle computer is consistent with the user's scheduled charging time, it means that the user is ready to charge and the charging conditions meet the user's expectations. The increase in the vehicle count value indicates that the system recognizes that the user wants to charge immediately. By intelligently judging the user's charging time preference, the charging strategy is automatically adjusted to provide users with a more personalized and convenient charging experience, effectively improve charging efficiency, reduce the idle time of charging piles, and optimize resource utilization.

[0119] In another feasible implementation, step S23 may include steps E11 to E15:

[0120] Step E11, obtaining software factory setting information and a charging cycle, wherein the software factory setting information includes a first target scheduled charging stay time, a second target scheduled charging stay time, a first count value, and a second count value;

[0121] It should be noted that the software factory setting information reflects the feature of retrieving the factory setting information of the software from the memory or database of the vehicle, and the charging cycle reflects the feature that the charging cycle refers to the periodic regularity of the user's use of the charging service.

[0122] Step E12, when the charging signal information indicates that the signal is normal, increasing the vehicle count value;

[0123] It is understandable that if the charging signal information appears normal, the system will increase the vehicle count value, indicating that the user wishes to charge immediately, ensuring that the system can automatically trigger the charging process at the right time, respond to normal charging signals in a timely manner, reduce user waiting time, and improve the smoothness and convenience of the charging experience, thereby achieving a more intelligent and efficient charging experience.

[0124] Step E13, when the second count value in the software factory setting information is equal to zero, the current charging time of the vehicle in the vehicle charging time is used as the first target scheduled stay charging time, the first count value is increased, and the second count value is assigned to one;

[0125] It can be understood that when the second count value is reset to zero, the system uses the current charging time as the new first target scheduled charging stop time, indicating that the system updates the scheduled charging plan. At the same time, the first count value is increased and the second count value is set to one, so as to flexibly adapt to changes in the user's charging habits or grid conditions, improve the accuracy of the charging plan and user satisfaction, and optimize the load management of the grid to enhance the overall charging experience.

[0126] Step E14, when the second count value in the software factory setting information is not equal to zero, increasing the first count value;

[0127] It is understandable that when the second count value in the software factory setting information is not equal to zero, the first count value is increased, the user's charging habits are learned, and the charging strategy is further adjusted to make it more in line with the user's charging mode. The charging plan is optimized according to the user's charging history, thereby providing more personalized services and improving user satisfaction.

[0128] Step E15, calculating a second target scheduled stop charging time based on the first count value and the charging cycle, assigning the second target scheduled stop charging time to the first target scheduled stop charging time, and clearing the first count value.

[0129] It can be understood that at the end of each charging cycle, the user's most likely next charging start time, i.e., the second target scheduled charging stop time, is calculated, the second target scheduled charging stop time is assigned to the first target scheduled charging stop time, and the first count value is cleared, so that the charging plan is more in line with the user's actual behavior pattern, more accurately meets the user's actual charging habits, improves the user experience, and is ready at the time when the user is most likely to start charging, thereby improving the utilization rate of charging facilities and reducing energy waste.

[0130] The intelligent identification and control method for the electric vehicle slow charging scheduled charging function proposed in this embodiment obtains charging signal information; judges the vehicle charging intention based on the charging signal information, the predetermined feature information and the vehicle time information, and obtains the vehicle count value; and adjusts the vehicle count value based on the vehicle charging time to judge the user's habits. The technical problem of how to self-learn the user's scheduled charging habits and perform intelligent charging is solved. Compared with the prior art, the present application obtains charging signal information and combines the predetermined feature information and vehicle time information to intelligently judge the charging intention of the electric vehicle, self-learn the user's scheduled charging habits, thereby obtaining the vehicle count value, and adjusting the vehicle count value according to the vehicle charging time to adapt to the user's charging habits, thereby improving the charging efficiency and user satisfaction. At the same time, it optimizes the power grid load management, improves the intelligence of the vehicle scheduled charging function, ensures the realization of the user's charging function, reduces the user's learning cost for the scheduled charging function, and reduces the risk of after-sales complaints.

[0131] For example, in order to help understand the implementation process of the electric vehicle slow charging scheduled charging function intelligent identification control method obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Figure 4 , Figure 4 A brief flow chart of an intelligent identification and control method for a slow charging scheduled charging function of an electric vehicle is provided, specifically:

[0132] The vehicle controller performs self-check after waking up; the internal counter Cnt of the vehicle controller is cleared; the user connects a slow charging gun to proceed to the next step; the vehicle controller starts internal timers T1 and T2 to start timing; referring to Example 1, predetermined feature information, vehicle time information and vehicle-machine charging time are obtained; based on the predetermined feature information, the vehicle time information and the vehicle-machine charging time, the vehicle charging intention is identified to determine the vehicle count value; based on the vehicle count value, the vehicle is controlled to intelligently trigger the target charging process. If the vehicle computer turns on the scheduled charging function and the scheduled charging time on the vehicle computer has not arrived, the timer T1≥5S is used to determine that the slow charging gun is fully connected, eliminating the abnormal situation that the user repeatedly plugs and unplugs the gun; the CP signal of the OBC is received to confirm that the user is charging the vehicle; the internal counter Cnt of the vehicle controller is increased by 1; the timer T2≥360S is used as a timing cycle to clear the counter Cnt to avoid the scheduled charging function automatically switching to immediate charging due to Cnt accumulation; it is determined whether the current time T3 of the vehicle computer is equal to T5. The vehicle controller uses the self-learning function to calculate the time period T5 when the user is accustomed to connecting the slow charging gun to wait for the scheduled charging according to the real-time feedback of the scheduled charging data, so as to more accurately and quickly identify the user's charging intention; see Example 2, obtain charging signal information; judge the vehicle charging intention based on the charging signal information, the predetermined feature information and the vehicle time information, and obtain the vehicle count value; judge the user's habit based on the charging time of the vehicle computer and adjust the vehicle count value. If T3 is not equal to T5, it means that the current time is not in the scheduled charging start time period that the user is accustomed to, and the judgment of the Cnt value can be reduced. If Cnt≥2, the vehicle controller recognizes the user's intention to charge immediately; if T3 is equal to T5, it means that the current time is in the scheduled charging start time period that the user is accustomed to, and the Cnt value needs to be increased. By judging that the counter Cnt≥3, the vehicle controller recognizes the user's intention to charge immediately; finally, after entering the slow charging high-voltage process, the internal counter Cnt is cleared. Otherwise, if the vehicle computer has not turned on the scheduled charging function or the scheduled charging time on the vehicle computer has arrived, the internal counter Cnt is cleared after entering the slow charging high-voltage process.

[0133] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the intelligent identification and control method for the slow charging scheduled charging function of an electric vehicle of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0134] This application also provides an intelligent identification and control device for electric vehicle slow charging scheduled charging function, please refer to Figure 5 The electric vehicle slow charging predetermined charging function intelligent identification control device comprises:

[0135] The acquisition module 10 is used to acquire predetermined characteristic information, vehicle time information and vehicle charging time;

[0136] A processing module 20, configured to identify a vehicle charging intention and determine a vehicle count value based on the predetermined feature information, the vehicle time information and the vehicle charging time;

[0137] The execution module 30 is used to control the vehicle to intelligently trigger a target charging process based on the vehicle count value.

[0138] The acquisition module 10 is further used to acquire the predetermined function status information, the predetermined time information, the first timing information, the second timing information, the current charging time of the vehicle and the predetermined stay time of the user;

[0139] Determining predetermined characteristic information based on the predetermined functional state information and the predetermined time information;

[0140] determining vehicle time information based on the first timing information and the second timing information;

[0141] The vehicle computer charging time is determined based on the current charging time of the vehicle computer and the scheduled stay time of the user.

[0142] The processing module 20 is also used to obtain charging signal information;

[0143] Determine the vehicle charging intention based on the charging signal information, the predetermined characteristic information and the vehicle time information, and obtain a vehicle count value;

[0144] The vehicle count value is adjusted based on the vehicle charging time to determine the user's habits.

[0145] The processing module 20 is further configured to, when the predetermined function status information in the predetermined feature information is off or the predetermined time information in the predetermined feature information is used up, the vehicle charging intention is direct charging, and clear the vehicle count value;

[0146] When the predetermined function status information in the predetermined feature information is turned on and the predetermined time information in the predetermined feature information is not used up, the vehicle charging intention is predetermined charging, the vehicle operating condition status information is determined based on the vehicle time information and the charging signal information, and the vehicle count value is determined based on the vehicle operating condition status information.

[0147] The processing module 20 is further configured to obtain the vehicle count value by accumulating the number of charging times based on the charging signal information when the first timing information in the vehicle time information is not less than a preset first timing threshold and the vehicle operating state information is that the slow charging gun is fully connected;

[0148] When the second timing information in the vehicle time information is not less than a preset second timing threshold, the vehicle operating state information clears the vehicle count value to avoid switching to automatic charging.

[0149] The processing module 20 is further configured to reduce the vehicle count value when the current charging time of the vehicle computer is not equal to the user's scheduled stay time in the vehicle computer charging time;

[0150] When the current charging time of the vehicle computer is equal to the predetermined stay time of the user in the vehicle computer charging time, the vehicle count value is increased.

[0151] The processing module 20 is further used to obtain software factory setting information and a charging cycle, wherein the software factory setting information includes a first target predetermined charging stay time, a second target predetermined charging stay time, a first count value, and a second count value;

[0152] When the charging signal information indicates that the signal is normal, increasing the vehicle count value;

[0153] When the second count value in the software factory setting information is equal to zero, the current charging time of the vehicle in the vehicle charging time is used as the first target scheduled stay charging time, the first count value is increased, and the second count value is assigned to one;

[0154] When the second count value in the software factory setting information is not equal to zero, increasing the first count value;

[0155] A second target scheduled stop charging time is calculated based on the first count value and the charging cycle, the second target scheduled stop charging time is assigned to the first target scheduled stop charging time, and the first count value is cleared.

[0156] The electric vehicle slow charging scheduled charging function intelligent identification control device provided by the present application adopts the electric vehicle slow charging scheduled charging function intelligent identification control method in the above-mentioned embodiment, which can solve the technical problem of how to intelligently identify the user's charging intention and automatically adjust the charging strategy to perform the electric vehicle slow charging scheduled charging. Compared with the prior art, the beneficial effects of the electric vehicle slow charging scheduled charging function intelligent identification control device provided by the present application are the same as the beneficial effects of the electric vehicle slow charging scheduled charging function intelligent identification control method provided by the above-mentioned embodiment, and the other technical features of the electric vehicle slow charging scheduled charging function intelligent identification control device are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0157] The present application provides an intelligent recognition and control device for a slow-charging scheduled charging function of an electric vehicle, the intelligent recognition and control device for a slow-charging scheduled charging function of an electric vehicle comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent recognition and control method for the slow-charging scheduled charging function of an electric vehicle in the above-mentioned embodiment one.

[0158] Reference below Figure 6 , which shows a schematic diagram of the structure of an intelligent identification control device for the electric vehicle slow charging scheduled charging function suitable for implementing the embodiment of the present application. The intelligent identification control device for the electric vehicle slow charging scheduled charging function in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The electric vehicle slow charging scheduled charging function intelligent identification and control device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0159] like Figure 6 As shown, the electric vehicle slow charging scheduled charging function intelligent identification control device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the electric vehicle slow charging scheduled charging function intelligent identification control device are also stored in RAM1004. The processing device 1001, ROM1002 and RAM1004 are connected to each other via a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the electric vehicle slow charging scheduled charging function intelligent identification control device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows an electric vehicle slow charging scheduled charging function intelligent identification control device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or provided alternatively.

[0160] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0161] The electric vehicle slow charging scheduled charging function intelligent identification control device provided by the present application adopts the electric vehicle slow charging scheduled charging function intelligent identification control method in the above-mentioned embodiment, which can solve the technical problem of how to intelligently identify the user's charging intention and automatically adjust the charging strategy to perform the electric vehicle slow charging scheduled charging. Compared with the prior art, the beneficial effects of the electric vehicle slow charging scheduled charging function intelligent identification control device provided by the present application are the same as the beneficial effects of the electric vehicle slow charging scheduled charging function intelligent identification control method provided by the above-mentioned embodiment, and the other technical features in the electric vehicle slow charging scheduled charging function intelligent identification control device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0162] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0163] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0164] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the intelligent identification and control method for the slow charging predetermined charging function of an electric vehicle in the above-mentioned embodiment.

[0165] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, 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), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0166] The above-mentioned computer-readable storage medium may be included in the intelligent recognition and control device for the slow-charging scheduled charging function of the electric vehicle; or it may exist independently without being assembled into the intelligent recognition and control device for the slow-charging scheduled charging function of the electric vehicle.

[0167] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the electric vehicle slow charging scheduled charging function intelligent recognition control device, the electric vehicle slow charging scheduled charging function intelligent recognition control device: obtains predetermined feature information, vehicle time information and vehicle-computer charging time; identifies the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle-computer charging time to determine the vehicle counting value; and controls the vehicle to intelligently trigger the target charging process based on the vehicle counting value.

[0168] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through 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., via the Internet using an Internet service provider).

[0169] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0170] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0171] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned electric vehicle slow charging scheduled charging function intelligent identification control method, which can solve the technical problem of how to intelligently identify the user's charging intention and automatically adjust the charging strategy to perform electric vehicle slow charging scheduled charging. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the electric vehicle slow charging scheduled charging function intelligent identification control method provided in the above-mentioned embodiment, which will not be repeated here.

[0172] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. An intelligent identification and control method for electric vehicle slow charging scheduled charging function, characterized in that: The method includes: Obtaining predetermined feature information, vehicle time information, and vehicle charging time; Identify the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle charging time to determine the vehicle count value; The vehicle is controlled to intelligently trigger a target charging process based on the vehicle count value.

2. The method according to claim 1, characterized in that The step of obtaining predetermined characteristic information, vehicle time information and vehicle charging time comprises: Obtaining the scheduled function status information, the scheduled time information, the first timing information, the second timing information, the current charging time of the vehicle and the user's scheduled stay time; Determining predetermined characteristic information based on the predetermined functional state information and the predetermined time information; determining vehicle time information based on the first timing information and the second timing information; The vehicle computer charging time is determined based on the current charging time of the vehicle computer and the scheduled stay time of the user.

3. The method according to claim 1, characterized in that The step of identifying the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle charging time and determining the vehicle count value comprises: Get charging signal information; Determine the vehicle charging intention based on the charging signal information, the predetermined characteristic information and the vehicle time information, and obtain a vehicle count value; The vehicle count value is adjusted based on the vehicle charging time to determine the user's habits.

4. The method according to claim 3, characterized in that The step of determining the vehicle charging intention based on the charging signal information, the predetermined characteristic information and the vehicle time information and obtaining the vehicle count value comprises: When the predetermined function status information in the predetermined feature information is off or the predetermined time information in the predetermined feature information is used up, the vehicle charging intention is direct charging, and the vehicle count value is cleared; When the predetermined function status information in the predetermined feature information is turned on and the predetermined time information in the predetermined feature information is not used up, the vehicle charging intention is predetermined charging, the vehicle operating condition status information is determined based on the vehicle time information and the charging signal information, and the vehicle count value is determined based on the vehicle operating condition status information.

5. The method according to claim 4, characterized in that The step of determining the vehicle operating state information based on the vehicle time information and the charging signal information, and determining the vehicle count value based on the vehicle operating state information comprises: When the first timing information in the vehicle time information is not less than a preset first timing threshold, the vehicle operating state information is that the slow charging gun is fully connected, and the vehicle count value is obtained by accumulating the number of charging times based on the charging signal information; When the second timing information in the vehicle time information is not less than a preset second timing threshold, the vehicle operating state information clears the vehicle count value to avoid switching to automatic charging.

6. The method according to claim 3, characterized in that The step of adjusting the vehicle count value based on the vehicle charging time to determine the user's habits includes: When the current charging time of the vehicle computer is not equal to the user's scheduled stay time in the vehicle computer charging time, the vehicle count value is reduced; When the current charging time of the vehicle computer is equal to the predetermined stay time of the user in the vehicle computer charging time, the vehicle count value is increased.

7. The method according to claim 3, characterized in that The step of adjusting the vehicle count value based on the vehicle charging time to determine the user's habits also includes: Acquire software factory setting information and a charging cycle, wherein the software factory setting information includes a first target scheduled charging stay time, a second target scheduled charging stay time, a first count value, and a second count value; When the charging signal information indicates that the signal is normal, increasing the vehicle count value; When the second count value in the software factory setting information is equal to zero, the current charging time of the vehicle in the vehicle charging time is used as the first target scheduled stay charging time, the first count value is increased, and the second count value is assigned to one; When the second count value in the software factory setting information is not equal to zero, increasing the first count value; A second target scheduled stop charging time is calculated based on the first count value and the charging cycle, the second target scheduled stop charging time is assigned to the first target scheduled stop charging time, and the first count value is cleared.

8. An intelligent identification and control device for electric vehicle slow charging scheduled charging function, characterized in that: The device comprises: An acquisition module, used to acquire predetermined characteristic information, vehicle time information and vehicle charging time; A processing module, configured to identify a vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle charging time to determine a vehicle count value; An execution module is used to control the vehicle to intelligently trigger a target charging process based on the vehicle count value.

9. An intelligent identification and control device for electric vehicle slow charging scheduled charging function, characterized in that: The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the intelligent identification and control method for the slow charging predetermined charging function of an electric vehicle as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the intelligent identification and control method for the slow charging scheduled charging function of an electric vehicle as described in any one of claims 1 to 7 are implemented.

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