Orderly charging method and device for charging vehicle

Abstract

The present invention discloses an orderly charging method and device for a rechargeable vehicle, and relates to the technical field of vehicle charging. The method comprises the following steps: obtaining status information of a target vehicle; determining an orderly charging time period based on historical charging data; determining the fastest charging time period for the target vehicle based on the current battery capacity, the start charging time, the expected charging capacity, and the expected charging time period; if the fastest charging time period is less than the expected charging time period, and the expected charging time period has an intersection with the orderly charging time period, substituting the current battery capacity, the start charging time, the expected charging capacity, and the expected charging time period into a preset model to determine an optimal charging plan for the target vehicle; obtaining the charging status information of the target vehicle and combining it with historical charging data to accurately predict and manage the charging demand of the electric vehicle, determining the orderly charging time period and the optimal charging plan, and generating billing information based on the optimal charging plan, thereby reducing the charging cost of users without affecting the stable operation of the power grid.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobile charging, and in particular relates to an orderly charging method and device for a charging automobile. Background Art

[0002] With the increasing severity of global climate change and environmental pollution, reducing greenhouse gas emissions and promoting sustainable development have become a global consensus. In the transportation sector, automobile exhaust emissions are one of the main factors causing environmental pollution and global warming. Therefore, the development and promotion of electric vehicles as an alternative to traditional fuel vehicles has become an important means to achieve energy conservation and emission reduction goals.

[0003] Electric vehicles (EVs) are powered by electricity and offer significant energy-saving advantages over traditional fuel-powered vehicles. Firstly, the electricity used by EVs can be generated from a variety of renewable energy sources (such as solar and wind energy), thus achieving a diversified and cleaner energy source. Secondly, EVs do not produce exhaust and noise pollution during operation, significantly reducing their negative impact on the environment.

[0004] However, with the increasing popularity of electric vehicles, their charging demand is growing rapidly, bringing new challenges to the power grid; traditional disorderly charging methods may not only lead to increased fluctuations in grid load and affect the stable operation of the grid, but may also intensify competition for grid resources among electric vehicle users, thereby increasing users' charging costs. Summary of the Invention

[0005] The purpose of the present invention is to solve the problem that the traditional disordered charging method may not only lead to increased fluctuations in the grid load and affect the stable operation of the grid, but also intensify the competition for grid resources among electric vehicle users, thereby increasing the charging costs of users, and to propose an orderly charging method and device for charging vehicles.

[0006] In a first aspect of the present invention, a method for orderly charging a charging vehicle is first proposed, the method comprising:

[0007] Obtaining status information of a target vehicle; the status information includes a current battery capacity of the target vehicle, a charging start time of the target vehicle, an estimated charging time period of the target vehicle, and an estimated charging capacity of the target vehicle; the target vehicle is a vehicle connected to the power grid;

[0008] Determine orderly charging time periods based on historical charging data;

[0009] determining a fastest charging time period for the target vehicle according to the current battery capacity, the charging start time, and the estimated charging capacity;

[0010] If the fastest charging time period is less than the expected charging time period, and the expected charging time period intersects with the ordered charging time period, substituting the current battery capacity, the charging start time, the expected charging capacity, and the expected charging time period into a preset model to determine an optimal charging plan for the target vehicle, and generating billing information based on the optimal charging plan;

[0011] The billing information is sent to a target user, and when the target user agrees with the optimal charging plan, the target vehicle is charged in an orderly manner according to the optimal charging plan.

[0012] Optionally, determining the orderly charging time period based on historical charging data includes:

[0013] Acquiring the current ambient temperature, determining a temperature range of the ambient temperature, and filtering the historical charging data according to the temperature range to obtain initial charging data;

[0014] performing data cleaning on the initial charging data to remove invalid data and abnormal data to obtain target charging data;

[0015] Simulating the target charging data using a probability density distribution function to obtain a historical charging time curve and a historical charging duration curve;

[0016] An ordered charging time period is determined according to the historical charging time curve and the historical charging duration curve.

[0017] Optionally, determining the fastest charging time period of the target vehicle according to the current battery capacity, the charging start time, and the estimated charging capacity includes:

[0018] By formula Obtaining the charging end time of the target vehicle;

[0019] in, is the charging end time of the target vehicle, is the charging start time, is the estimated charging capacity, is the current battery capacity, The maximum charging power for the target vehicle to be connected to the power grid;

[0020] The fastest charging time period of the target vehicle is obtained by taking the charging start time as the starting point and the charging end time as the ending point.

[0021] Optionally, substituting the current battery capacity, the charging start time, the expected charging capacity, and the expected charging time period into a preset model to determine the optimal charging solution for the target vehicle includes:

[0022] A target curve is obtained by intercepting a total power supply curve according to the charging start time and the expected charging time period; the total power supply curve records the expected power supply of the power grid in each charging cycle in a preset time period in the future;

[0023] Determine a total charge capacity according to the estimated charge capacity and the current battery capacity; the total charge capacity is the amount of electricity required by the target vehicle;

[0024] According to the total charge capacity, the charge capacity corresponding to each charging cycle is determined in sequence from the end time of the target curve to the start time of the target curve; the charge capacity is between zero and the maximum charge capacity of the target vehicle.

[0025] Optionally, generating billing information according to the optimal charging plan includes: generating billing information according to the charging amount corresponding to each charging cycle and the electricity fee corresponding to each cycle.

[0026] In a second aspect of the present invention, a device for orderly charging a vehicle is provided, the device comprising:

[0027] A status information acquisition module is used to obtain status information of a target vehicle; the status information includes the current battery capacity of the target vehicle, the start time of charging of the target vehicle, the expected charging time period of the target vehicle, and the expected charging capacity of the target vehicle; the target vehicle is a vehicle connected to the power grid;

[0028] An orderly charging time module is used to determine the orderly charging time period based on historical charging data;

[0029] A fastest charging time module, configured to determine the fastest charging time period of the target vehicle according to the current battery capacity, the charging start time, and the estimated charging capacity;

[0030] a charging plan determination module, configured to, if the fastest charging time period is less than the expected charging time period and the expected charging time period intersects with the ordered charging time period, substitute the current battery capacity, the charging start time, the expected charging capacity, and the expected charging time period into a preset model to determine an optimal charging plan for the target vehicle, and generate billing information based on the optimal charging plan;

[0031] The orderly charging module is used to send the billing information to the target user, and when the target user agrees with the optimal charging plan, the target vehicle is charged in an orderly manner according to the optimal charging plan.

[0032] Optionally, the ordered charging time module includes:

[0033] a data screening module, configured to obtain a current ambient temperature, determine a temperature range of the ambient temperature, and screen the historical charging data according to the temperature range to obtain initial charging data;

[0034] a data cleaning module, configured to clean the initial charging data to remove invalid data and abnormal data to obtain target charging data;

[0035] a curve simulation module, configured to simulate the target charging data using a probability density distribution function to obtain a historical charging time curve and a historical charging duration curve;

[0036] The orderly charging time period determination module is configured to determine the orderly charging time period according to the historical charging time curve and the historical charging duration curve.

[0037] Optionally, the fastest charging time module includes:

[0038] By formula Obtaining the charging end time of the target vehicle;

[0039] in, is the charging end time of the target vehicle, is the charging start time, is the estimated charging capacity, is the current battery capacity, The maximum charging power for the target vehicle to be connected to the power grid;

[0040] The fastest charging time period of the target vehicle is obtained by taking the charging start time as the starting point and the charging end time as the ending point.

[0041] Optionally, the charging scheme determination module includes:

[0042] A target curve determination module is configured to obtain a target curve by intercepting a total power supply curve according to the charging start time and the expected charging time period; the total power supply curve records the expected power supply of the power grid for each charging cycle in a future preset time period;

[0043] a total charge capacity determination module, configured to determine a total charge capacity based on the estimated charge capacity and the current battery capacity; the total charge capacity being the amount of electricity required by the target vehicle;

[0044] A charge capacity determination module is used to determine the charge capacity corresponding to each charging cycle in sequence from the end time of the target curve to the start time of the target curve based on the total charge capacity; the charge capacity is between zero and the maximum charge capacity of the target vehicle.

[0045] Optionally, the charging scheme determination module further includes:

[0046] The charging information determination module is used to generate charging information according to the charging amount corresponding to each charging cycle and the electricity fee corresponding to each cycle.

[0047] Beneficial effects of the present invention:

[0048] The present invention proposes an orderly charging method for a charging vehicle, which includes obtaining status information of a target vehicle; determining an orderly charging time period based on historical charging data; determining the fastest charging time period for the target vehicle based on the current battery capacity, the start charging time and the expected charging capacity; if the fastest charging time period is less than the expected charging time period, and the expected charging time period has an intersection with the orderly charging time period, substituting the current battery capacity, the start charging time, the expected charging capacity and the expected charging time period into a preset model to determine an optimal charging plan for the target vehicle, and generating billing information based on the optimal charging plan; sending the billing information to a target user, and when the target user agrees with the optimal charging plan, charging the target vehicle in an orderly manner based on the optimal charging plan; by obtaining the charging status information of the target vehicle and combining it with historical charging data, the charging demand of the electric vehicle can be accurately predicted and managed, and by determining the orderly charging time period and the optimal charging plan, the negative impact of the electric vehicle on the power grid during the charging process can be reduced, and billing information is generated based on the optimal charging plan, thereby reducing the charging cost of the user without affecting the stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below with reference to the accompanying drawings.

[0050] Figure 1 A flowchart of an orderly charging method for a charging vehicle is provided in accordance with an embodiment of the present invention;

[0051] Figure 2 The present invention provides a schematic structural diagram of an orderly charging device for charging a vehicle. DETAILED DESCRIPTION

[0052] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention, in conjunction with the accompanying drawings. Obviously, the described embodiments represent only a portion of the embodiments of the present invention, not all of them. The term "and / or" herein simply describes an association relationship between associated objects, indicating that three possible relationships exist. For example, "A" and "B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, references to "first," "second," and so on in the present invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined as "first" or "second" may explicitly or implicitly include at least one of these features. Furthermore, the technical solutions of the various embodiments may be combined, but only if they are achievable by a person of ordinary skill in the art. If a combination of technical solutions contradicts or is unachievable, such combination shall be deemed non-existent and outside the scope of protection claimed by the present invention.

[0053] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0054] The embodiment of the present invention provides an orderly charging method for a charging vehicle. Figure 1 , Figure 1 A flowchart of a method for orderly charging a charging vehicle provided in an embodiment of the present invention. The method includes the following steps:

[0055] S101, obtaining status information of a target vehicle.

[0056] S102: Determine an orderly charging time period based on historical charging data.

[0057] S103 , determining the fastest charging time period for the target vehicle according to the current battery capacity, the charging start time, and the estimated charging capacity.

[0058] S104: If the fastest charging time period is less than the expected charging time period, and the expected charging time period overlaps with the ordered charging time period, the current battery capacity, charging start time, expected charging capacity, and expected charging time period are substituted into a preset model to determine the optimal charging plan for the target vehicle, and billing information is generated based on the optimal charging plan.

[0059] S105, sending the billing information to the target user. When the target user agrees with the optimal charging plan, the target vehicle is charged in an orderly manner according to the optimal charging plan.

[0060] Among them, the status information includes the current battery capacity of the target vehicle, the start time of charging of the target vehicle, the expected charging time period of the target vehicle, and the expected charging capacity of the target vehicle; the target vehicle is a vehicle connected to the power grid.

[0061] An orderly charging method for electric vehicles provided by an embodiment of the present invention obtains charging status information of target vehicles and combines it with historical charging data to accurately predict and manage the charging needs of electric vehicles. By determining an orderly charging time period and an optimal charging plan, the negative impact of electric vehicles on the power grid during the charging process can be reduced. Billing information is generated based on the optimal charging plan, thereby reducing users' charging costs without affecting the stable operation of the power grid.

[0062] In one implementation, if the conditions are not met, the fastest charging time period is less than the expected charging time period, and the expected charging time period overlaps with the ordered charging time period, then the target vehicle is charged out of order.

[0063] In one implementation, if the target user disagrees with the optimal charging plan, a new charging plan is generated; if the target user disagrees with the optimal charging plan, disorderly charging can also be performed.

[0064] In one implementation, a charging strategy based on historical data and current vehicle status information can ensure that grid resources are more reasonably allocated and utilized, thereby improving energy efficiency.

[0065] In one implementation, by predicting and planning charging times, users can choose to charge during periods of low grid load, thereby enjoying lower electricity prices and reducing charging costs.

[0066] In one embodiment, determining the ordered charging time period based on historical charging data includes:

[0067] Obtain the current ambient temperature, determine the ambient temperature range, and filter historical charging data based on the temperature range to obtain initial charging data;

[0068] Perform data cleaning on the initial charging data to remove invalid data and abnormal data to obtain target charging data;

[0069] The target charging data is simulated by the probability density distribution function to obtain the historical charging time curve and the historical charging duration curve;

[0070] An orderly charging time period is determined based on a historical charging time curve and a historical charging duration curve.

[0071] In one implementation, by considering the ambient temperature factor, the charging time can be more accurately predicted and planned, avoiding charging under extreme temperature conditions, thereby improving charging efficiency.

[0072] In one implementation, data cleaning is performed to remove invalid and abnormal data, thereby ensuring that the charging data used is highly reliable and accurate, providing a solid foundation for subsequent analysis.

[0073] In one implementation, using a probability density distribution function to simulate historical charging time curves and duration curves can more accurately predict future charging behavior and improve prediction accuracy.

[0074] In one implementation, an orderly charging time period is determined based on a historical charging time curve and a historical charging duration curve. The specific steps are to perform a time series analysis on the historical charging time curve and the historical charging duration curve to identify peak and valley charging periods so that more charging activities can be arranged during valley periods. Statistical methods or machine learning algorithms are used to identify charging behavior patterns and predict future charging demand. In combination with grid load and user charging habits, linear programming, dynamic programming, or heuristic algorithms are used to determine the optimal charging time period to obtain an orderly charging time period.

[0075] In one implementation, historical charging data based on temperature screening can reflect the charging characteristics of the vehicle under different temperature conditions, helping to optimize energy utilization and ensure charging during periods of sufficient energy supply.

[0076] In one implementation, invalid data refers to data with missing data or erroneous data; abnormal data refers to data points that are far away from other data points or exceed a normal range.

[0077] In one embodiment, determining the fastest charging time period for the target vehicle based on the current battery capacity, the charging start time, and the expected charging capacity includes:

[0078] By formula Get the charging end time of the target vehicle;

[0079] in, is the charging end time of the target vehicle, To start charging time, is the estimated charging capacity, is the current battery capacity, The maximum charging power for the target vehicle to be connected to the power grid;

[0080] The fastest charging time period of the target vehicle is obtained by taking the charging start time as the starting point and the charging end time as the end point.

[0081] In one implementation, by calculating the fastest charging time period, charging can be ensured during periods when the grid load is low or the electricity price is more favorable, thereby optimizing energy use and reducing charging costs.

[0082] In one embodiment, substituting the current battery capacity, charging start time, expected charging capacity, and expected charging time period into a preset model to determine the optimal charging solution for the target vehicle includes:

[0083] The target curve is obtained by intercepting the total power supply curve based on the charging start time and the expected charging time period; the total power supply curve records the expected power supply of the power grid in each charging cycle in the future preset time period;

[0084] Determine the total charging capacity based on the expected charging capacity and the current battery capacity; the total charging capacity is the amount of electricity required by the target vehicle;

[0085] Based on the total charge capacity, the charge capacity corresponding to each charging cycle is determined in sequence from the end time of the target curve to the start time of the target curve; the charge capacity is between zero and the maximum charge capacity of the target vehicle.

[0086] In one implementation, by considering the expected power supply of the power grid in a preset time period in the future, charging can be ensured during periods when the power grid has sufficient power supply and favorable electricity prices, thereby optimizing energy use and reducing charging costs.

[0087] In one implementation, the charging period is determined by a technician.

[0088] In one implementation, the charge amount corresponding to each charging cycle may be determined by calculating the charge amount corresponding to each cycle in the target curve using the average value of the target curve; or it may be an intermediate value between the average value of the target curve and the average value of the total power supply curve.

[0089] In one implementation, the end time corresponds to a low-load period of the power grid, and electricity charges are relatively cheap at this time.

[0090] In one implementation, by intercepting the total power supply curve to obtain the target curve and determining the charging amount for each charging cycle based on it, large-scale charging during peak grid load periods can be avoided, which helps balance the grid load and reduce the risk of grid overload.

[0091] One implementation method determines the charge capacity corresponding to each charging cycle in sequence based on the total charge capacity and the start and end times of the target curve, which can ensure a more efficient charging process and reduce unnecessary waiting time.

[0092] In one embodiment, generating billing information according to the optimal charging plan includes generating billing information according to a charge amount corresponding to each charging cycle and an electricity fee corresponding to each cycle.

[0093] In one implementation, the start time, end time, and charge amount of each charging cycle are collected, and each charging cycle is classified according to the electricity rate standard to obtain multiple charging cycle classes. For each charging cycle class, the charge amount is calculated to ensure that the data is accurate. The corresponding electricity rate standard is applied according to the time period of the charging cycle. For each class, the charge amount is multiplied by the corresponding electricity rate standard, and the costs of all charging cycle classes are added up to obtain the total cost.

[0094] Based on the same inventive concept, the embodiment of the present invention also provides an orderly charging device for charging a car. Figure 2 , Figure 2 A schematic structural diagram of an orderly charging device for a charging vehicle provided in an embodiment of the present invention includes:

[0095] A status information acquisition module is used to obtain the status information of the target vehicle; the status information includes the current battery capacity of the target vehicle, the start time of charging of the target vehicle, the expected charging time period of the target vehicle, and the expected charging capacity of the target vehicle; the target vehicle is a vehicle connected to the power grid;

[0096] An orderly charging time module is used to determine the orderly charging time period based on historical charging data;

[0097] The fastest charging time module is used to determine the fastest charging time period for the target vehicle based on the current battery capacity, charging start time and expected charging capacity;

[0098] A charging plan determination module is configured to substitute the current battery capacity, charging start time, expected charging capacity, and expected charging time into a preset model to determine the optimal charging plan for the target vehicle if the fastest charging time period is less than the expected charging time period and the expected charging time period overlaps with the ordered charging time period, and to generate billing information based on the optimal charging plan;

[0099] The orderly charging module is used to send billing information to the target user. When the target user agrees with the optimal charging plan, the target vehicle is charged in an orderly manner according to the optimal charging plan.

[0100] An orderly charging device for charging vehicles provided by an embodiment of the present invention can accurately predict and manage the charging needs of electric vehicles by acquiring charging status information of target vehicles and combining it with historical charging data. By determining an orderly charging time period and an optimal charging plan, the negative impact of electric vehicles on the power grid during the charging process can be reduced. Billing information is generated based on the optimal charging plan, thereby reducing users' charging costs without affecting the stable operation of the power grid.

[0101] In one embodiment, the ordered charging time module includes:

[0102] A data screening module is used to obtain the current ambient temperature, determine the temperature range of the ambient temperature, and filter the historical charging data according to the temperature range to obtain the initial charging data;

[0103] A data cleaning module is used to clean the initial charging data to remove invalid data and abnormal data to obtain target charging data;

[0104] A curve simulation module is used to simulate the target charging data through a probability density distribution function to obtain a historical charging time curve and a historical charging duration curve;

[0105] The orderly charging time period determination module is used to determine the orderly charging time period according to the historical charging time curve and the historical charging duration curve.

[0106] In one embodiment, the fastest charging time module includes:

[0107] By formula Get the charging end time of the target vehicle;

[0108] in, is the charging end time of the target vehicle, To start charging time, is the estimated charging capacity, is the current battery capacity, The maximum charging power for the target vehicle to be connected to the power grid;

[0109] The fastest charging time period of the target vehicle is obtained by taking the charging start time as the starting point and the charging end time as the end point.

[0110] In one embodiment, the charging scheme determination module includes:

[0111] A target curve determination module is configured to obtain a target curve by intercepting a total power supply curve according to the charging start time and the expected charging time period; the total power supply curve records the expected power supply of the power grid for each charging cycle in a future preset time period;

[0112] a total charge capacity determination module, configured to determine a total charge capacity based on the estimated charge capacity and the current battery capacity; the total charge capacity being the amount of electricity required by the target vehicle;

[0113] A charge capacity determination module is used to determine the charge capacity corresponding to each charging cycle in sequence from the end time of the target curve to the start time of the target curve based on the total charge capacity; the charge capacity is between zero and the maximum charge capacity of the target vehicle.

[0114] In one embodiment, the charging scheme determination module further includes:

[0115] The charging information determination module is used to generate charging information according to the charging amount corresponding to each charging cycle and the electricity fee corresponding to each cycle.

[0116] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for charging a vehicle in an orderly manner, characterized in that: The method comprises: Obtaining status information of the target vehicle; the status information includes the current battery capacity of the target vehicle, the start time of charging of the target vehicle, the expected charging time period of the target vehicle, and the expected charging capacity of the target vehicle; The target vehicle is a vehicle connected to the power grid; Determine orderly charging time periods based on historical charging data; determining a fastest charging time period for the target vehicle according to the current battery capacity, the charging start time, and the estimated charging capacity; If the duration of the fastest charging time period is less than the duration of the expected charging time period, and the expected charging time period intersects with the ordered charging time period, substituting the current battery capacity, the charging start time, the expected charging capacity, and the expected charging time period into a preset model to determine an optimal charging plan for the target vehicle, and generating billing information based on the optimal charging plan; Sending the billing information to a target user, and when the target user agrees with the optimal charging plan, charging the target vehicle in an orderly manner according to the optimal charging plan; Determining orderly charging time periods based on historical charging data includes: Acquiring the current ambient temperature, determining a temperature range of the ambient temperature, and filtering the historical charging data according to the temperature range to obtain initial charging data; performing data cleaning on the initial charging data to remove invalid data and abnormal data to obtain target charging data; Simulating the target charging data using a probability density distribution function to obtain a historical charging time curve and a historical charging duration curve; An ordered charging time period is determined according to the historical charging time curve and the historical charging duration curve.

2. The method for orderly charging a charging vehicle according to claim 1, characterized in that: Determining the fastest charging time period of the target vehicle according to the current battery capacity, the charging start time, and the estimated charging capacity includes: By formula Obtaining the charging end time of the target vehicle; Wherein, T is the charging end time of the target vehicle, t0 is the charging start time, C y is the estimated charging capacity, C d is the current battery capacity, P max The maximum charging power for the target vehicle to be connected to the power grid; The fastest charging time period of the target vehicle is obtained by taking the charging start time as the starting point and the charging end time as the ending point.

3. The orderly charging method for a charging vehicle according to claim 1, characterized in that: Substituting the current battery capacity, the charging start time, the expected charging capacity, and the expected charging time period into a preset model to determine the optimal charging solution for the target vehicle includes: A target curve is obtained by intercepting a total power supply curve according to the charging start time and the expected charging time period; the total power supply curve records the expected power supply of the power grid in each charging cycle in a preset time period in the future; Determine a total charge capacity according to the estimated charge capacity and the current battery capacity; the total charge capacity is the amount of electricity required by the target vehicle; According to the total charge capacity, the charge capacity corresponding to each charging cycle is determined in sequence from the end time of the target curve to the start time of the target curve; the charge capacity is between zero and the maximum charge capacity of the target vehicle.

4. The method for orderly charging a charging vehicle according to claim 3, characterized in that: Generating billing information according to the optimal charging plan includes: generating billing information according to the charging amount corresponding to each charging cycle and the electricity fee corresponding to each cycle.

5. An orderly charging device for charging a car, characterized in that: The device comprises: A status information acquisition module is used to obtain status information of a target vehicle; the status information includes the current battery capacity of the target vehicle, the start time of charging of the target vehicle, the expected charging time period of the target vehicle, and the expected charging capacity of the target vehicle; the target vehicle is a vehicle connected to the power grid; An orderly charging time module is used to determine the orderly charging time period based on historical charging data; A fastest charging time module, configured to determine the fastest charging time period of the target vehicle according to the current battery capacity, the charging start time, and the estimated charging capacity; a charging plan determination module, configured to, if the duration of the fastest charging time period is less than the duration of the expected charging time period, and the expected charging time period intersects with the ordered charging time period, substitute the current battery capacity, the charging start time, the expected charging capacity, and the expected charging time period into a preset model to determine an optimal charging plan for the target vehicle, and generate billing information based on the optimal charging plan; An orderly charging module is used to send the billing information to a target user, and when the target user agrees with the optimal charging plan, the target vehicle is charged in an orderly manner according to the optimal charging plan; The orderly charging time module includes: a data screening module, configured to obtain a current ambient temperature, determine a temperature range of the ambient temperature, and screen the historical charging data according to the temperature range to obtain initial charging data; a data cleaning module, configured to clean the initial charging data to remove invalid data and abnormal data to obtain target charging data; a curve simulation module, configured to simulate the target charging data using a probability density distribution function to obtain a historical charging time curve and a historical charging duration curve; The orderly charging time period determination module is configured to determine the orderly charging time period according to the historical charging time curve and the historical charging duration curve.

6. The orderly charging device for charging a vehicle according to claim 5, characterized in that: The fastest charging time module includes: By formula Obtaining the charging end time of the target vehicle; Wherein, T is the charging end time of the target vehicle, t0 is the charging start time, C y is the estimated charging capacity, C d is the current battery capacity, P max The maximum charging power for the target vehicle to be connected to the power grid; The fastest charging time period of the target vehicle is obtained by taking the charging start time as the starting point and the charging end time as the ending point.

7. The orderly charging device for charging a vehicle according to claim 5, characterized in that: The charging scheme determination module includes: A target curve determination module is configured to obtain a target curve by intercepting a total power supply curve according to the charging start time and the expected charging time period; the total power supply curve records the expected power supply of the power grid for each charging cycle in a future preset time period; a total charge capacity determination module, configured to determine a total charge capacity based on the estimated charge capacity and the current battery capacity; the total charge capacity being the amount of electricity required by the target vehicle; A charge capacity determination module is used to determine the charge capacity corresponding to each charging cycle in sequence from the end time of the target curve to the start time of the target curve based on the total charge capacity; the charge capacity is between zero and the maximum charge capacity of the target vehicle.

8. The orderly charging device for charging a vehicle according to claim 7, characterized in that: The charging scheme determination module further includes: The charging information determination module is used to generate charging information according to the charging amount corresponding to each charging cycle and the electricity fee corresponding to each cycle.

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