Charging control method and device, equipment and storage medium

Abstract

The invention discloses a charging control method, device and equipment and a storage medium, and the method comprises the steps: obtaining a vehicle charging request and power grid real-time operation information, and the vehicle charging request comprises vehicle parameter information and charging demand information related to a to-be-charged vehicle; and the charging power output by the charging pile is dynamically adjusted based on the vehicle parameter information, the charging demand information and the power grid real-time operation information. The output power of the charging pile is dynamically adjusted by combining the charging demand information and the real-time operation information of the power grid, the charging demand of a vehicle owner can be met, large-scale charging in the peak period of the load of the power grid can be avoided, and the intelligent level of vehicle charging management is improved.

Description

Technical Field

[0001] The present invention relates to the field of charging management technology, and in particular to a charging control method, device, equipment and storage medium. Background Art

[0002] With the rapid development of new energy vehicles, traditional charging methods are gradually unable to meet the needs of users. At present, most charging stations use a fixed-power charging mode, that is, each charging pile provides the same power output and cannot be flexibly adjusted according to the actual needs of the vehicle. Although this charging method can meet basic charging needs for a certain period of time, it has obvious deficiencies in intelligence and flexibility, and cannot fully adapt to the increasingly diverse and personalized needs of users. Summary of the invention

[0003] Based on this, it is necessary to provide a charging control method, device, equipment and storage medium for the above technical problems to solve at least one of the above technical problems.

[0004] The present invention provides a charging control method, comprising:

[0005] Obtaining a vehicle charging request and real-time grid operation information, wherein the vehicle charging request includes vehicle parameter information and charging demand information associated with the vehicle to be charged;

[0006] The charging power output by the charging pile is dynamically adjusted based on the vehicle parameter information, the charging demand information and the real-time operation information of the power grid.

[0007] Optionally, according to a charging control method provided by the present invention, the real-time operation information of the power grid includes first power load data of the charging station and second power load data of the power supply grid;

[0008] The dynamically adjusting the charging power output by the charging pile based on the vehicle parameter information, the charging demand information and the real-time operation information of the power grid includes:

[0009] Determining the urgency of the charging demand of the vehicle to be charged according to the charging demand information;

[0010] Determining the amount of electricity to be charged according to the vehicle parameter information;

[0011] Determine whether the first power load exceeds a preset power load threshold, and obtain a first determination result;

[0012] Based on the second load data, determine the current rechargeable load data of the power supply grid, and judge whether the rechargeable load data meets the amount of electricity to be charged, to obtain a second judgment result;

[0013] Based on the urgency of the charging demand, the vehicle parameter information, the first judgment result and the second judgment result, the charging power output by the charging pile is dynamically adjusted.

[0014] Optionally, according to a charging control method provided by the present invention, dynamically adjusting the charging power output by the charging pile based on the urgency of the charging demand, the vehicle parameter information, the first judgment result and the second judgment result includes:

[0015] Obtain historical power consumption data of the power supply grid within a preset time period;

[0016] Based on the second power load data and the historical power consumption data, predict a peak power consumption period;

[0017] The charging power output by the charging pile is dynamically adjusted based on the urgency of the charging demand, the vehicle parameter information, the first judgment result, the second judgment result and the peak power consumption period.

[0018] Optionally, according to a charging control method provided by the present invention, dynamically adjusting the charging power output by the charging pile based on the urgency of the charging demand, the vehicle parameter information, the first judgment result and the second judgment result includes:

[0019] Acquiring electricity price fluctuation data, wherein the electricity price fluctuation data refers to data on electricity price changes within a preset time;

[0020] Based on the electricity price fluctuation data, determining a low electricity price period;

[0021] The charging power output by the charging pile is dynamically adjusted based on the urgency of the charging demand, the vehicle parameter information, the first judgment result, the second judgment result and the low electricity price period.

[0022] Optionally, according to a charging control method provided by the present invention, determining the urgency of the charging demand of the vehicle to be charged according to the charging demand information includes:

[0023] The urgency of the charging demand of the vehicle to be charged is determined according to the expected charging start time, the expected vehicle use time and / or the expected charging mode in the charging demand information.

[0024] Optionally, a charging control method provided according to the present invention further includes:

[0025] Get the historical charging data associated with the car owner;

[0026] Analyzing the historical charging data to obtain the charging behavior preference of the vehicle owner and the user group to which the vehicle owner belongs;

[0027] A charging recommendation strategy is generated based on the charging behavior preference, the user group to which the vehicle owner belongs, and the monitored remaining power of the vehicle, and the charging recommendation strategy is pushed to the vehicle owner.

[0028] Optionally, according to a charging control method provided by the present invention, after analyzing the historical charging data to obtain the charging behavior preference of the vehicle owner and the user group to which the vehicle owner belongs, the method further includes:

[0029] Based on the charging behavior preference and the user group, a corresponding charging discount package is generated, and the charging discount package is pushed to the car owner.

[0030] The present invention also provides a charging control device, comprising:

[0031] An acquisition module, used to acquire a vehicle charging request and real-time grid operation information, wherein the charging request includes vehicle parameter information and charging demand information associated with the vehicle to be charged;

[0032] The charging adjustment module is used to dynamically adjust the charging power output by the charging pile based on the vehicle parameter information, the charging demand information and the real-time operation information of the power grid.

[0033] The present invention also provides a computer device, comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor implements the above-mentioned charging control method when executing the computer-readable instructions.

[0034] The present invention also provides one or more readable storage media storing computer-readable instructions, and the computer-readable instructions implement the above-mentioned charging control method when executed by a processor.

[0035] The above-mentioned charging control method, device, equipment and storage medium include: obtaining a vehicle charging request and real-time grid operation information, wherein the vehicle charging request includes vehicle parameter information and charging demand information associated with the vehicle to be charged; dynamically adjusting the charging power output by the charging pile based on the vehicle parameter information, the charging demand information and the real-time grid operation information. By dynamically adjusting the output power of the charging pile in combination with the charging demand information and the real-time grid operation information, it can not only meet the charging needs of the car owner, but also avoid large-scale charging during the peak load period of the grid, thereby improving the intelligence level of vehicle charging. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0037] Figure 1 It is one of the flow charts of the charging control method in one embodiment of the present invention;

[0038] Figure 2 is a schematic diagram of system communication provided by an embodiment of the present invention;

[0039] Figure 3 This is a second flow chart of a charging control method in one embodiment of the present invention;

[0040] Figure 4 This is a third flow chart of a charging control method in one embodiment of the present invention;

[0041] Figure 5 This is a fourth flow chart of a charging control method according to an embodiment of the present invention;

[0042] Figure 6 This is a fifth flow chart of a charging control method according to an embodiment of the present invention;

[0043] Figure 7 is a structural schematic diagram of a charging control device in one embodiment of the present invention;

[0044] Figure 8 is a schematic diagram of a computer device in one embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] The terms used in one or more embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present invention. The singular forms of "a", "said" and "the" used in one or more embodiments of the present invention are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of the present invention refers to and includes any or all possible combinations of one or more associated listed items.

[0047] In one embodiment, if Figure 1 As shown, Figure 1 FIG. 1 is a flow chart of a charging control method in an embodiment of the present invention. The present invention provides a charging control method, comprising the following steps:

[0048] Step S11, obtaining vehicle charging request and real-time grid operation information;

[0049] It should be noted that the vehicle charging request includes vehicle parameter information and charging demand information associated with the vehicle to be charged, the location of the charging pile and other information. The vehicle parameter information includes the battery charging status, health status, temperature, maximum charging current and vehicle remaining power and other information. The charging demand information includes the expected charging start time, expected charging end time, expected vehicle use time and expected charging mode set by the user. The expected charging mode includes fast charging, slow charging, scheduled charging, low-price time period charging and other modes. Optionally, the number of vehicles to be charged is one or more.

[0050] It should be noted that the real-time operation information of the power grid includes the power load of the power grid. By monitoring the current load level of the power grid, it is determined whether there is sufficient power supply to support the charging needs of the vehicle to be charged. In other embodiments, the real-time operation information of the power grid also includes the power load data of the charging station to ensure that the power load of the charging station does not exceed the safe power load during the charging process.

[0051] In one embodiment, referring to Figure 2 , Figure 2 It is a system communication diagram provided by an embodiment of the present invention; the charging pile can communicate with the vehicle connected to it. For example, when the charging pile is operated to start charging, the charger control unit (CCU) exchanges information with the vehicle to be charged through the open charging communication protocol (ISO15118). The charging pile is connected to the charging management platform (the executive body of the embodiment of the present invention), and the charging pile reports the vehicle parameter information to the charging management platform. In addition, the owner can use the user terminal to communicate with the charging management platform. For example, the owner registers and logs in to the charging management platform, so that the charging demand information can be set on the user terminal. In other embodiments, the owner can also set the charging demand information on the vehicle's on-board display screen. In addition, the charging management platform communicates with the relevant systems of the power supply network, and can obtain information such as the power load data and the maximum power supply charge of the power supply network.

[0052] Step S12, dynamically adjusting the charging power output by the charging pile based on vehicle parameter information, charging demand information and real-time grid operation information.

[0053] In one embodiment, the urgency of the charging demand of the vehicle to be charged is determined based on the expected start charging time, expected vehicle use time and / or expected charging mode in the charging demand information. For example, the urgency of the fast charging mode is higher, and the urgency of the slow charging mode is lower, and the higher urgency is given priority. Furthermore, the appropriate charging power and charging time of the charging pile are analyzed based on the charging demand information and the battery charging status and health status in the vehicle parameter information. At the same time, it is necessary to monitor whether the first power load of the charging station exceeds the safe power load; and to determine whether the current power supply network has sufficient power to supply the charging demand of the vehicle to be charged.

[0054] Optionally, during the power adjustment process, if the battery is in good health, the charging power is increased. If the battery is in poor health, the charging power is reduced to protect the battery. If the battery or ambient temperature is high, the charging power is reduced to prevent overheating. If the temperature is low, the charging power is increased. In addition, when the first power load exceeds a preset power load threshold, the charging power output by the charging pile is reduced to avoid safety accidents at the charging station; when the first power load does not exceed the preset power load threshold, the charging power output by the charging pile is increased. When the rechargeable load data of the power supply grid meets the amount of power to be charged, the charging power output by the charging pile is increased. When the rechargeable load data of the power supply grid cannot meet the amount of power to be charged, the charging power output by the charging pile is reduced, or non-urgent charging needs are postponed to avoid putting pressure on the power grid.

[0055] It should be noted that the charging power output by the charging pile is dynamically adjusted by using a linear programming algorithm, a genetic algorithm or a particle swarm optimization algorithm. For example, when a linear programming algorithm is used, an objective function and constraints are set in advance. The objective function may be to minimize or maximize a certain quantity. Optionally, the objective function is set to be a function that minimizes the total charging power. The constraints include grid restriction constraints, charging station power load constraints, user charging demand constraints, battery status constraints, and other conditions, so as to solve and obtain the appropriate charging power.

[0056] In one embodiment, in order to reduce the situation of charging in large quantities during the peak load period of the power grid, the future power grid load changes can be predicted in advance. Optionally, the historical power consumption data of the power supply grid and the second power load data currently monitored are combined to use a pre-built target model to predict the peak power consumption period in the future, wherein the target model is trained based on a large amount of historical power consumption data, and the target model can be a long short-term memory model, a convolutional neural network, a decision tree, and other models. In other embodiments, in order to improve the accuracy of the prediction of the peak power consumption period, the prediction can also be combined with characteristic information such as weather information, holidays and working days. Further, based on the urgency of the charging demand, the vehicle parameter information, the first judgment result, the second judgment result, and the peak power consumption period, the charging power output by the charging pile is dynamically adjusted. It can be understood that during the charging power adjustment process, when it is predicted that the power supply grid is about to enter the peak power consumption period, the system automatically reduces the charging power output by the charging pile, or postpones non-urgent charging needs to avoid putting pressure on the power grid. The charging power can be increased during the non-peak power consumption period to improve the charging efficiency.

[0057] In one embodiment, charging can be performed preferentially during low electricity price periods to reduce the user's charging costs. Optionally, electricity price fluctuation data is obtained, where electricity price fluctuation data refers to data on changes in electricity prices within a preset time, and then based on the electricity price fluctuation data, the low electricity price period is determined, and then the charging power output by the charging pile is dynamically adjusted in combination with the urgency of the charging demand, vehicle parameter information, the first judgment result, the second judgment result, and the low electricity price period. For example, for charging needs with a low degree of urgency, the charging power can be increased when the electricity price is low, and the charging power can be reduced during high-price periods. Recommendations on charging time and power are given according to changes in electricity prices to reduce charging costs.

[0058] In other embodiments, factors such as the urgency of charging demand, vehicle parameter information, the first judgment result, the second judgment result, peak electricity consumption period, and electricity price fluctuation data are considered simultaneously to comprehensively adjust the charging power output by the charging pile.

[0059] In addition, users can check the charging status of the vehicle, for example, check the current charging power, remaining charging time, charging progress and battery status. When charging is completed, a prompt message is generated and pushed to the owner to ensure that the owner picks up the vehicle in time to avoid overcharging. If a fault occurs during the charging process, an alarm message is generated and pushed to the owner, and fault diagnosis information and solution suggestions can also be provided.

[0060] The embodiment of the present invention dynamically adjusts the output power of the charging pile by combining charging demand information and real-time grid operation information, which can not only meet the charging needs of car owners, but also avoid large-scale charging during peak grid load periods, thereby improving the intelligence level of vehicle charging.

[0061] Reference Figure 3 , Figure 3 FIG2 is a flow chart of a charging control method in an embodiment of the present invention; in an embodiment of the present invention, the charging power output by the charging pile is dynamically adjusted based on vehicle parameter information, charging demand information and real-time operation information of the power grid, including:

[0062] Step S21, determining the urgency of the charging demand of the vehicle to be charged according to the charging demand information;

[0063] In one embodiment, the urgency of the charging demand of the vehicle to be charged is analyzed based on information such as the expected charging start time, the expected vehicle usage time, and the expected charging mode in the charging demand information.

[0064] It can be understood that for the expected start time of charging: if the expected start time of charging is very close to the current time (for example, the vehicle wants to start charging immediately), it proves that the urgency is high, indicating that the charging demand is urgent. If the charging start time is a later time point (for example, half an hour later or several hours later), it proves that the urgency of the charging demand is low.

[0065] For the expected time of use: If the vehicle is expected to be used within a short period of time (for example, within 1-2 hours) and the current power level is already low, it means that the urgency of charging is very high. If the expected time of use is flexible (for example, in a few hours), it means that the urgency is low.

[0066] For the expected charging mode: If you choose the fast charging mode, it means that the charging demand is more urgent, because fast charging is generally used when you need to replenish the power urgently. If you choose the standard or normal charging mode, the charging speed is slower, which means that the urgency of the charging demand is less and the charging time can be arranged flexibly. If you choose the scheduled charging mode, it may be based on the expected time planning arrangement, and the urgency will be determined according to the specific time window of charging.

[0067] Step S22, determining the amount of electricity to be charged according to the vehicle parameter information;

[0068] In one embodiment, the amount of power to be charged is calculated based on the remaining power of the vehicle in the vehicle parameter information. In another embodiment, the charging demand information may include a target charging power set by the vehicle owner, and the amount of power to be charged is calculated based on the remaining power and the target charging power in the vehicle parameter information.

[0069] Step S23, determining whether the first power load exceeds a preset power load threshold, and obtaining a first determination result;

[0070] Step S24, based on the second load data, determining the current rechargeable load data of the power supply grid, and judging whether the rechargeable load data satisfies the amount of electricity to be charged, to obtain a second judgment result;

[0071] In one embodiment, the first power load is compared with a preset power load threshold to determine whether the first power load exceeds the preset power load threshold, thereby obtaining a first judgment result. In addition, based on the total load data of the power supply network and the second load data at the current moment, the current rechargeable load data of the power supply network is calculated, wherein the rechargeable load data refers to the load capacity used for charging, and then the rechargeable load data is compared with the amount of electricity to be charged to determine whether the rechargeable load data satisfies the amount of electricity to be charged, thereby obtaining a second judgment result.

[0072] Step S25, dynamically adjusting the charging power output by the charging pile based on the urgency of the charging demand, the vehicle parameter information, the first judgment result and the second judgment result.

[0073] In one embodiment, the charging power output by the charging pile is adjusted based on the urgency of the charging demand. Optionally, if the charging demand of the vehicle to be charged is very urgent (for example, the vehicle battery is very low and the driver needs to leave urgently), the system may give priority to providing a higher charging power to the vehicle to charge the vehicle as soon as possible.

[0074] In addition, the charging power is adjusted based on the vehicle's battery health status, temperature and other parameters. For example, if the battery's health status is poor, or the temperature is high, the system will reduce the charging power to avoid excessive stress or damage to the battery.

[0075] In addition, during the charging power adjustment process, when the first power load exceeds the preset power load threshold, the charging power output by the charging pile is reduced to avoid safety accidents at the charging station; when the first power load does not exceed the preset power load threshold, the charging power output by the charging pile is increased. When the rechargeable load data of the power supply grid meets the amount of electricity to be charged, the charging power output by the charging pile is increased. When the rechargeable load data of the power supply grid cannot meet the amount of electricity to be charged, the charging power output by the charging pile is reduced, or non-urgent charging needs are postponed to avoid putting pressure on the power grid.

[0076] The embodiment of the present invention uses the above scheme to adjust the charging power output by the charging pile in combination with the urgency of the charging demand, vehicle parameter information, etc., and during the adjustment process, it is necessary to monitor and determine whether the first power load data of the charging station exceeds the preset power load threshold, and whether the current rechargeable load data of the power supply grid meets the power to be charged. This can not only meet the personalized charging needs of each car owner, but also avoid large-scale charging during the peak load period of the grid, thereby reducing the instantaneous load of the grid and improving the intelligence level of vehicle charging management.

[0077] Reference Figure 4 , Figure 4 FIG3 is a flow chart of a charging control method in an embodiment of the present invention; in an embodiment of the present invention, the charging power output by the charging pile is dynamically adjusted based on the urgency of the charging demand, the vehicle parameter information, the first judgment result and the second judgment result, including:

[0078] Step S31, obtaining historical power consumption data of the power supply grid within a preset time period;

[0079] Step S32, predicting a peak power consumption period based on the second power load data and the historical power consumption data;

[0080] Step S33, dynamically adjusting the charging power output by the charging pile based on the urgency of the charging demand, the vehicle parameter information, the first judgment result, the second judgment result and the peak power consumption period.

[0081] In one embodiment, historical power consumption data of the power supply grid within a preset time period is obtained, and then the current power load data and the historical power consumption data are obtained, and a pre-constructed target model is used to predict the peak power consumption time period, wherein the target model is pre-trained by iterative training using a large amount of historical power consumption data; further, in the process of adjusting the charging power based on the urgency of the charging demand, the vehicle parameter information, the first judgment result, and the second judgment result, the factor of the peak power consumption time period is taken into consideration. When the current time is about to enter the peak power consumption time period, the charging power output by the charging pile is reduced in advance, or the charging demand with a lower degree of urgency is delayed, so as to avoid large-scale charging during the peak load period of the power grid.

[0082] The embodiment of the present invention adopts the above scheme to predict the peak power consumption period based on the power load data and historical power consumption data of the power supply grid. When it is predicted that the power grid is about to enter the peak load, the charging power output by the charging pile can be automatically reduced, or non-emergency charging needs can be postponed to avoid putting pressure on the power grid. The charging power can be appropriately increased during the off-peak period to improve the charging efficiency.

[0083] Reference Figure 5 , Figure 5 FIG4 is a flow chart of a charging control method in an embodiment of the present invention; in an embodiment of the present invention, based on the urgency of charging demand, vehicle parameter information, a first judgment result and a second judgment result, the charging power output by the charging pile is dynamically adjusted, including:

[0084] Step S41, obtaining electricity price fluctuation data;

[0085] Step S42, determining a low electricity price period based on electricity price fluctuation data;

[0086] Step S43, dynamically adjusting the charging power output by the charging pile based on the urgency of the charging demand, the vehicle parameter information, the first judgment result, the second judgment result and the low electricity price period.

[0087] In one embodiment, electricity price fluctuation data is obtained, and the electricity price fluctuation data refers to the data on the change of electricity prices within a preset time, and then based on the electricity price fluctuation data, a low electricity price period is determined. In the process of adjusting the charging power based on the urgency of the charging demand, vehicle parameter information, the first judgment result, and the second judgment result, for charging demands with lower charging urgency, the charging power can be increased in the low electricity price period, and the charging power can be reduced in the high price period, thereby reducing the user's charging cost.

[0088] Through the above scheme, the embodiment of the present invention determines the low electricity price period based on the electricity price fluctuation data, and then uses the low electricity price period to charge for charging needs with less urgency, thereby reducing the charging cost.

[0089] Reference Figure 6 , Figure 6 FIG5 is a flow chart of a charging control method in an embodiment of the present invention; In an embodiment of the present invention, the present invention provides a charging control method, comprising the following steps:

[0090] Step S51, obtaining the historical charging data associated with the vehicle owner;

[0091] Step S52, analyzing the historical charging data to obtain the charging behavior preference of the car owner and the user group to which the car owner belongs;

[0092] Step S53, generating a charging recommendation strategy based on the charging behavior preference, the user group to which the car owner belongs, and the monitored remaining power of the vehicle, and pushing the charging recommendation strategy to the car owner.

[0093] It should be noted that the historical charging data includes information such as the time, charging location, charging duration, and the amount of electricity used to start charging for each charging session of the user in a preset time period.

[0094] In one embodiment, historical charging data is analyzed to analyze the owner's corresponding charging time preference, charging location preference, and power preference for starting charging, and obtain the owner's charging behavior preference. In addition, historical charging data is analyzed to count the total number of charging times within a preset time period, and then determine the user group to which the owner belongs based on the total number of charging times, such as high-frequency charging users, occasional charging users, etc. Further, a personalized charging recommendation strategy is formulated based on the remaining power of the vehicle, charging behavior preference, and user group, and the charging recommendation strategy is pushed to the owner. For example, whether the owner charges in a specific time period (e.g., morning, evening, late at night, etc.), the monthly and daily charging time period distribution of each owner is counted, and the high-frequency charging time period is identified. The remaining power of the owner at the beginning of each charging is analyzed (e.g., whether charging is often started when the power is lower than a certain threshold). For high-frequency charging users, a charging recommendation strategy for charging reminders is pushed in advance based on information such as charging time period preference (e.g., fixed time period per week) and charging location preference. For users who occasionally charge, a charging recommendation strategy is automatically pushed when the remaining power of the vehicle is below a certain threshold (for example, when the remaining power is below 30%). Optionally, the charging recommendation strategy includes information such as the recommended charging station location and charging time.

[0095] In addition, according to the user's preferred charging time period, charging location and other information as well as the user group, corresponding charging discount packages are generated and pushed to the car owner. For example, for high-frequency users: customized discount packages are generated according to the user's charging preferences corresponding to the charging time and charging location. For occasional charging users: customized packages such as more favorable ones are pushed according to the user's charging needs to increase the frequency of users' charging and promote their transformation into users who charge more frequently.

[0096] The embodiment of the present invention uses the above solution to analyze historical charging data to identify the owner's charging behavior preference, charging time preference, power preference and other characteristics, and divide the owner into different user groups. Then, based on the owner's charging preference and user group characteristics, a personalized charging recommendation strategy is generated to effectively increase the owner's charging frequency and improve the owner's charging experience.

[0097] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0098] In one embodiment, a charging control device is provided, and the charging control device corresponds to the charging control method in the above embodiment. Figure 7 As shown, Figure 7 : is a schematic diagram of a charging control device in one embodiment of the present invention, the charging control device comprising:

[0099] An acquisition module 61 is used to acquire a vehicle charging request and real-time grid operation information, wherein the charging request includes vehicle parameter information and charging demand information associated with the vehicle to be charged;

[0100] The charging adjustment module 62 is used to dynamically adjust the charging power output by the charging pile based on vehicle parameter information, charging demand information and real-time grid operation information.

[0101] The charging adjustment module 62 is also used for:

[0102] Determine the urgency of the charging demand of the vehicle to be charged according to the charging demand information;

[0103] Determine the amount of electricity to be charged according to vehicle parameter information;

[0104] Determine whether the first power load exceeds a preset power load threshold, and obtain a first determination result;

[0105] Based on the second load data, determine the current rechargeable load data of the power supply grid, and judge whether the rechargeable load data meets the amount of electricity to be charged, to obtain a second judgment result;

[0106] The charging power output by the charging pile is dynamically adjusted based on the urgency of the charging demand, vehicle parameter information, the first judgment result and the second judgment result.

[0107] The charging adjustment module 62 is also used for:

[0108] Obtain historical power consumption data of the power supply grid within a preset time period;

[0109] Based on the second power load data and the historical power consumption data, a peak power consumption period is predicted;

[0110] The charging power output by the charging pile is dynamically adjusted based on the urgency of the charging demand, vehicle parameter information, the first judgment result, the second judgment result and the peak power consumption period.

[0111] The charging adjustment module 62 is also used for:

[0112] Obtaining electricity price fluctuation data, wherein electricity price fluctuation data refers to data on changes in electricity prices within a preset time;

[0113] Determine low electricity price periods based on electricity price fluctuation data;

[0114] The charging power output by the charging pile is dynamically adjusted based on the urgency of the charging demand, vehicle parameter information, the first judgment result, the second judgment result and the low electricity price period.

[0115] The charging adjustment module 62 is also used for:

[0116] The urgency of the charging demand of the vehicle to be charged is determined according to the expected charging start time, the expected vehicle usage time and / or the expected charging mode in the charging demand information.

[0117] The charging control device also includes:

[0118] A historical data acquisition module is used to obtain the historical charging data associated with the vehicle owner;

[0119] The analysis module is used to analyze historical charging data to obtain the charging behavior preferences of car owners and the user groups to which the car owners belong;

[0120] The strategy generation module is used to generate a charging recommendation strategy based on the charging behavior preference, the user group to which the car owner belongs, and the monitored remaining power of the vehicle, and push the charging recommendation strategy to the car owner.

[0121] The charging control device also includes:

[0122] The generation module is used to generate corresponding charging discount packages based on charging behavior preferences and user groups, and push the charging discount packages to car owners.

[0123] For the specific definition of the charging control device, please refer to the definition of the charging control method above, which will not be repeated here. Each module in the above-mentioned charging control device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0124] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 8 As shown, Figure 8 : is a schematic diagram of a computer device in an embodiment of the present invention. The computer device includes a processor, a memory, a network interface and a database connected by a device bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a readable storage medium and an internal memory. The readable storage medium stores an operating device, a computer-readable instruction and a database. The internal memory provides an environment for the operation of the operating device and the computer-readable instructions in the readable storage medium. The database of the computer device is used to store data involved in the charging control method. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer-readable instruction is executed by the processor, a charging control method is implemented. The readable storage medium provided in this embodiment includes a non-volatile readable storage medium and a volatile readable storage medium.

[0125] In one embodiment, a computer device is provided. The computer device may be a terminal device, and its internal structure diagram may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, and a network interface connected through a device bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a readable storage medium. The readable storage medium stores computer-readable instructions. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer-readable instructions are executed by the processor, a charging control method is implemented. The readable storage medium provided in this embodiment includes a non-volatile readable storage medium and a volatile readable storage medium.

[0126] In one embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, and when the processor executes the computer-readable instructions, the steps of the charging control method described above are implemented.

[0127] In one embodiment, a readable storage medium is provided, the readable storage medium stores computer-readable instructions, and the computer-readable instructions are executed by the processor to implement the steps of the charging control method as described above. A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through computer-readable instructions, and the computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When the computer-readable instructions are executed, they may include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0128] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0129] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A charging control method, characterized in that: include: Obtaining a vehicle charging request and real-time grid operation information, wherein the vehicle charging request includes vehicle parameter information and charging demand information associated with the vehicle to be charged; The charging power output by the charging pile is dynamically adjusted based on the vehicle parameter information, the charging demand information and the real-time operation information of the power grid.

2. The charging control method according to claim 1, characterized in that: The real-time operation information of the power grid includes first power load data of the charging station and second power load data of the power supply grid; The dynamically adjusting the charging power output by the charging pile based on the vehicle parameter information, the charging demand information and the real-time operation information of the power grid includes: Determining the urgency of the charging demand of the vehicle to be charged according to the charging demand information; Determining the amount of electricity to be charged according to the vehicle parameter information; Determine whether the first power load exceeds a preset power load threshold, and obtain a first determination result; Based on the second load data, determine the current rechargeable load data of the power supply grid, and judge whether the rechargeable load data meets the amount of electricity to be charged, to obtain a second judgment result; Based on the urgency of the charging demand, the vehicle parameter information, the first judgment result and the second judgment result, the charging power output by the charging pile is dynamically adjusted.

3. The charging control method according to claim 2, characterized in that: The dynamically adjusting the charging power output by the charging pile based on the urgency of the charging demand, the vehicle parameter information, the first judgment result and the second judgment result includes: Obtain historical power consumption data of the power supply grid within a preset time period; Based on the second power load data and the historical power consumption data, predict a peak power consumption period; The charging power output by the charging pile is dynamically adjusted based on the urgency of the charging demand, the vehicle parameter information, the first judgment result, the second judgment result and the peak power consumption period.

4. The charging control method according to claim 2, characterized in that: The dynamically adjusting the charging power output by the charging pile based on the urgency of the charging demand, the vehicle parameter information, the first judgment result and the second judgment result includes: Acquiring electricity price fluctuation data, wherein the electricity price fluctuation data refers to data on electricity price changes within a preset time; Based on the electricity price fluctuation data, determining a low electricity price period; The charging power output by the charging pile is dynamically adjusted based on the urgency of the charging demand, the vehicle parameter information, the first judgment result, the second judgment result and the electricity price fluctuation data.

5. The charging control method according to claim 2, characterized in that: The step of determining the urgency of the charging demand of the vehicle to be charged according to the charging demand information includes: The urgency of the charging demand of the vehicle to be charged is determined according to the expected charging start time, the expected vehicle use time and / or the expected charging mode in the charging demand information.

6. The charging control method according to claim 1, characterized in that: Also includes: Get the historical charging data associated with the car owner; Analyzing the historical charging data to obtain the charging behavior preference of the vehicle owner and the user group to which the vehicle owner belongs; A charging recommendation strategy is generated based on the charging behavior preference, the user group to which the vehicle owner belongs, and the monitored remaining power of the vehicle, and the charging recommendation strategy is pushed to the vehicle owner.

7. The charging control method according to claim 6, characterized in that: After analyzing the historical charging data to obtain the charging behavior preference of the vehicle owner and the user group to which the vehicle owner belongs, the method further includes: Based on the charging behavior preference and the user group, a corresponding charging discount package is generated, and the charging discount package is pushed to the car owner.

8. A charging control device, characterized in that: include: An acquisition module, used to acquire a vehicle charging request and real-time grid operation information, wherein the charging request includes vehicle parameter information and charging demand information associated with the vehicle to be charged; The charging adjustment module is used to dynamically adjust the charging power output by the charging pile based on the vehicle parameter information, the charging demand information and the real-time operation information of the power grid.

9. A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and executed on the processor, characterized in that: When the processor executes the computer-readable instructions, the charging control method according to any one of claims 1 to 7 is implemented.

10. A readable storage medium having computer readable instructions stored thereon, characterized in that: When the computer-readable instructions are executed by a processor, the charging control method according to any one of claims 1 to 7 is implemented.

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