Charging module switching method and apparatus, device, and storage medium

By predicting and switching charging modules in advance at the current time, the problem of mismatch between the output power of charging piles and the power demand of electric vehicles is solved, thus improving charging efficiency.

WO2026046337A1PCT designated stage Publication Date: 2026-03-05AUTEL DIGITAL POWER CO LTD
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Patent Information

Application Number
PCT/CN2025/117775
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-09-02
Filing Date
2025-08-29
Publication Date
2026-03-05

AI Technical Summary

Technical Problem

The power output of the charging pile cannot match the power demand of the electric vehicle in time, resulting in a longer charging time.

Method used

By predicting the charging demand of the target vehicle at the target time point at the current time point, and switching the charging module on and off before the target time point arrives, the charging demand of the vehicle can be matched in advance.

Benefits of technology

This reduces the time difference between charging module activation and deactivation, improves charging efficiency, and shortens charging time.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application provides a charging module switching method and apparatus, a device, and a storage medium. The method comprises: predicting, at a current time point, charging demand information of a target vehicle at a target time point to obtain predicted charging demand information of the target vehicle, wherein the target vehicle is a vehicle currently being charged, and the target time point is a future time point after the current time point; and before the target time point arrives, performing charging module switching on the basis of the predicted charging demand information. The technical solution can match a charging demand of a vehicle in a timely manner, thereby shortening the charging time and improving the charging efficiency.
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Description

Charging module switching method, apparatus, equipment and storage medium

[0001] This application claims priority to Chinese Patent Application No. 202411218390.X, filed on September 2, 2024, entitled “Charging Module Switching Method, Apparatus, Device and Storage Medium”, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of charging technology, and in particular to charging module switching methods, apparatus, devices and storage media. Background Technology

[0003] A charging station is a device that provides charging services for electric vehicles. Electric vehicles can obtain electricity by connecting to a charger and a charging station, thereby replenishing their battery energy.

[0004] During the charging process, the charging station and the electric vehicle (EV) interact to exchange charging parameters, thereby meeting the EV's charging needs. During this interaction, the EV sends its required power to the charging station; this required power is called the demand power. After determining the EV's demand power, the charging station switches its charging modules accordingly, ensuring the charging station's output power matches the demand power. Since this switching process takes time, the charging station's output power may not immediately match the EV's demand, thus extending the charging time. Summary of the Invention

[0005] This application provides a charging module switching method, apparatus, equipment, and storage medium to solve the technical problem of extended charging time caused by the inability of the charging pile's output power to match the power demand of electric vehicles in a timely manner.

[0006] Firstly, a charging module switching method is provided, including:

[0007] Predict the charging demand information of the target vehicle at the target time point at the current time point to obtain the predicted charging demand information of the target vehicle. The target vehicle is the vehicle that is currently being charged, and the target time point is a future time point after the current time point.

[0008] Before the target time arrives, the charging module is switched on or off based on the predicted charging demand information.

[0009] In this technical solution, the charging demand information of the target vehicle is predicted at the target time point by forecasting the charging demand information of the target vehicle at the current time point. Before the target time point arrives, the charging module is switched on and off based on the predicted charging demand information of the target vehicle. Since the target time point is a future time point after the current time point, it is equivalent to predicting the charging demand of the vehicle currently being charged in advance and switching the charging module on and off in advance. This can reduce the time difference between the time point of completion of the switching and the target time point, thereby matching the charging demand of the vehicle in a timely manner, shortening the charging time, and improving the charging efficiency.

[0010] In conjunction with the first aspect, in one possible implementation, predicting the charging demand information of a target vehicle at a target time point, and obtaining the predicted charging demand information of the target vehicle at the current time point, includes: predicting the charging curve of the target vehicle at the current time point based on the vehicle information of the target vehicle, obtaining a target charging curve, wherein the target charging curve reflects the change of the target vehicle's charging demand over time; and determining the charging demand information of the target vehicle at the target time point based on the target charging curve, thereby obtaining the predicted charging demand information. By predicting the vehicle's charging curve based on the vehicle information and determining the vehicle's charging demand information at future time points based on the predicted charging curve, it is possible to predict the vehicle's charging demand in advance.

[0011] In conjunction with the first aspect, in one possible implementation, the method further includes: upon reaching the target time point, determining the charging demand information of the target vehicle at the target time point to obtain the actual charging demand information of the target vehicle; determining the demand information difference between the actual charging demand information and the predicted charging demand information to obtain a first demand information difference; and if the first demand information difference is greater than a first preset threshold, updating the target charging curve based on the actual charging demand information. When the actual charging demand of the vehicle differs significantly from the predicted charging demand, updating the vehicle's charging curve based on the actual charging demand enables calibration of the charging curve, thereby making the charging demand predicted based on the charging curve more accurate.

[0012] In conjunction with the first aspect, in one possible implementation, before switching charging modules based on the predicted charging demand information before the target time point arrives, the method further includes: determining whether the predicted charging demand information is the same as the current charging demand information, where the current charging demand information is the charging demand information of the target vehicle at the current time point; if the predicted charging demand information is different from the current charging demand information, then the step of switching charging modules based on the predicted charging demand information before the target time point arrives is executed. Switching charging modules only when charging demand changes avoids frequent switching and ensures that the output of the charging equipment can meet the vehicle's charging needs in real time.

[0013] In conjunction with the first aspect, in one possible implementation, the step of switching charging modules based on the predicted charging demand information before the arrival of the target time point includes: determining the duration between the current time point and the target time point to obtain a target duration; if the target duration is less than or equal to the duration required for switching, switching charging modules at the current time point based on the predicted charging demand information; if the target duration is greater than the duration required for switching, switching charging modules at a delayed time point after the current time point based on the predicted charging demand information, wherein the duration between the delayed time point and the current time point is equal to the difference between the target duration and the duration required for switching. When the duration between the current time point and the future time point is less than or equal to the duration required for switching, switching charging modules at the current time point can reduce the time difference between the completion time of switching and the target time point; when the duration between the current time point and the future time point is greater than the duration required for switching, delaying for the corresponding duration before switching charging modules can ensure that the output of the charging module at the future time point exactly matches the charging demand of the vehicle at the future time point.

[0014] In conjunction with the first aspect, in one possible implementation, the method further includes: upon reaching the target time point, determining the charging demand information of the target vehicle at the target time point to obtain the actual charging demand information of the target vehicle; determining the demand information difference between the actual charging demand information and the predicted charging demand information to obtain a first demand information difference; and if the first demand information difference is greater than a second preset threshold, switching the charging module according to the first demand information difference. When the actual charging demand of the vehicle differs significantly from the predicted charging demand, switching the charging module according to the demand difference between the actual and predicted charging demands ensures that the output of the charging equipment meets the vehicle's charging needs.

[0015] In conjunction with the first aspect, in one possible implementation, the step of switching charging modules based on the predicted charging demand information includes: determining the demand information difference between the predicted charging demand information and the current charging demand information to obtain a second demand information difference, where the current charging demand information is the charging demand information of the target vehicle at the current time; if the predicted charging demand information is greater than the current charging demand information, deploying an idle charging module matching the second demand information difference to the target vehicle; if the predicted charging demand information is less than the current charging demand information, cutting off an allocated charging module matching the second demand information difference from the charging modules already allocated to the target vehicle. Selecting charging modules to be deployed and cut off based on the demand information difference between the predicted and current charging demand information can reduce some deployment and switching operations and improve the speed of charging module deployment and switching.

[0016] Secondly, a charging module switching device is provided, comprising:

[0017] The charging demand prediction module is used to predict the charging demand information of a target vehicle at a target time point at the current time point, and obtain the predicted charging demand information of the target vehicle. The target vehicle is the vehicle that is currently being charged, and the target time point is a future time point after the current time point.

[0018] The charging switching module is used to switch the charging module on and off based on the predicted charging demand information before the target time point arrives.

[0019] Thirdly, a computer device is provided, including a memory, a communication interface, and one or more processors, wherein the memory is connected to the one or more processors, the communication interface is used for transmitting data, and the one or more processors are used to execute one or more computer programs stored in the memory, wherein when the one or more processors execute the one or more computer programs, the computer device enables the charging module switching method of the first aspect described above.

[0020] Fourthly, a computer-readable storage medium is provided, which stores a computer program, the computer program including program instructions, which, when executed by a processor, cause the processor to perform the charging module switching method of the first aspect.

[0021] This application can achieve the following technical effects: Since the target time point is a future time point after the current time point, it is equivalent to predicting the charging needs of the vehicles currently being charged in advance and switching the charging modules in advance. This can reduce the time difference between the time point of completion of the switching and the target time point, thereby matching the charging needs of the vehicles in a timely manner, shortening the charging time, and improving the charging efficiency. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 is a schematic diagram of a charging scenario provided in an embodiment of this application;

[0024] Figure 2 is a schematic diagram of the composition structure of the charging device provided in the embodiment of this application;

[0025] Figure 3 is a schematic diagram of the power module provided in an embodiment of this application;

[0026] Figure 4 is a flowchart illustrating a charging module switching method provided in an embodiment of this application;

[0027] Figure 5 is a flowchart illustrating another charging module switching method provided in an embodiment of this application;

[0028] Figure 6 is a schematic diagram of the charging curve provided in an embodiment of this application;

[0029] Figure 7 is a flowchart illustrating another charging module switching method provided in an embodiment of this application;

[0030] Figure 8 is a schematic diagram of a charging module switching device provided in an embodiment of this application;

[0031] Figure 9 is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0032] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments in this application without inventive effort are within the scope of protection of this application.

[0033] It should be noted that, unless there is a conflict, the various features in the embodiments of this application can be combined with each other, all of which are within the protection scope of this application. Furthermore, although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than the module division in the device or the order in the flowchart. Moreover, the terms "first," "second," and "third" used in this application do not limit the data or execution order, but only distinguish identical or similar items with essentially the same function and effect.

[0034] The technical solution of this application is applicable to charging scenarios, which can be shown in Figure 1, as a scenario where charging equipment charges a car. The charging equipment includes, but is not limited to, charging piles and charging stations.

[0035] To facilitate understanding, we will first introduce the composition and structure of the charging device.

[0036] Referring to Figure 2, which is a schematic diagram of the composition structure of the charging device provided in this embodiment of the application, the charging device 10 includes a charging controller 101 and a charging circuit 102. During the charging process, the charging controller 101 can connect to the vehicle to be charged, obtain the vehicle information and charging demand information of the vehicle to be charged, and control the charging circuit 102 to perform corresponding charging output according to the charging demand information of the vehicle to be charged. The charging circuit 102 includes a charging control module 1021 and a power module 1022. The charging control module 1021 is connected to the charging controller 101 and the power module 1022 respectively. During the charging process, the charging control module 1021 controls the power output of the power module 1022 to meet the charging demand of the vehicle according to the charging parameters and / or charging commands issued by the charging controller 101. The power module 1022 is a device that converts alternating current (AC) to direct current (DC), as shown in Figure 3. The power module 1022 includes multiple charging modules, each electrically connected to the charging control module 1021 and connected to a DC bus via a switching switch. The DC bus is connected to a charging output terminal (such as a charging gun). The charging control module 1021 can switch the charging modules that match the electrical parameters and / or charging commands issued by the charging controller 101, ensuring that the power output of the power module 1022 meets the vehicle's charging needs. The charging control module 1021 can turn on the switching switch between the charging module and the DC bus, thus connecting the charging module to the DC bus for charging the vehicle; or it can disconnect the switching switch, disconnecting the charging module connected to the DC bus and reclaiming the allocated charging module from the vehicle, stopping charging.

[0037] The charging device 10 can also be connected to backend devices, cloud servers, and other devices.

[0038] During charging, the charging equipment communicates with the vehicle to obtain its charging needs in real time and switches the appropriate charging modules on and off according to those needs, ensuring the charging equipment's output meets the vehicle's charging requirements. Because switching on and off requires a certain amount of time, typically around 20 seconds, the charging equipment's output only meets the vehicle's charging needs after this delay, meaning it cannot match the vehicle's charging demands immediately and thus prolongs the charging time.

[0039] In view of this, this application proposes a charging module switching scheme, which predicts the charging demand of the vehicle in advance and completes the switching of the charging module in advance. In this way, the switching time can be brought forward, so that the output of the charging equipment can meet the charging demand of the vehicle more quickly and shorten the charging time of the vehicle.

[0040] The technical solution of this application is described in detail below.

[0041] Referring to Figure 4, which is a flowchart illustrating a charging module switching method according to an embodiment of this application, this method can be applied to charging equipment or devices connected to the charging equipment (such as backend devices, cloud servers, etc.). As shown in Figure 4, the method includes the following steps:

[0042] S201, predict the charging demand information of the target vehicle at the target time point at the current time point, and obtain the predicted charging demand information of the target vehicle.

[0043] Here, the current time point is the current ongoing time point, the target vehicle is the vehicle currently being charged, and the target time point is a future time point after the current time point.

[0044] The target time point can be a time point after the current time point within a target time range, with the current time point as the starting time point. The target time range can be a fixed-length time range; for example, the length of the target time range can be the required switching time, meaning the target time range ends at the time point obtained by delaying the switching time from the current time point. The required switching time refers to the total time required for the charging equipment to complete the switching of the charging module, for example, 20 seconds. The length of the target time range can also be longer than the required switching time. The target time range can also be a time range with a variable length; for example, the target time range can end at the time point after the current time point when the charging demand information of the target vehicle changes. The target time range and target time point can be set according to actual needs; this application does not impose any restrictions.

[0045] The charging demand information of the target vehicle at the target time point is used to reflect the charging demand of the target vehicle at the target time point. The charging demand information of the target vehicle at the target time point can be the required power of the target vehicle at the target time point, or the required current and voltage of the target vehicle at the target time point.

[0046] The predicted charging demand information for the target vehicle refers to the predicted charging demand of the target vehicle at a target time point. This predicted charging demand information can be the predicted power demand, or the predicted current and voltage demand at the target time point. Based on the target vehicle's information, the predicted charging demand information for the target vehicle at the target time point can be obtained.

[0047] After obtaining the predicted charging demand information of the target vehicle, it can be determined whether the predicted charging demand information of the target vehicle is the same as the current charging demand information. The current charging demand information is the charging demand information of the target vehicle at the current time point, which reflects the actual charging demand of the target vehicle at the current time point. The current charging demand information can be obtained by the charging equipment interacting with the target vehicle at the current time point. If the predicted charging demand information of the target vehicle is different from the current charging demand information, it means that the charging demand of the target vehicle has changed from the target time point to the current time point, and step S202 is executed. If the predicted charging demand information of the target vehicle is the same as the current charging demand information, it means that the charging demand of the target vehicle has not changed from the target time point to the current time point, and the target vehicle is charged according to the current charging demand information, and the process returns to step S201.

[0048] Current charging demand information can be the target vehicle's required power at the current time, or it can be the target vehicle's required current and voltage at the current time. If the current charging demand information is the target vehicle's required power at the current time, it can be compared with the predicted required power at the target time. If the target vehicle's required power at the current time is the same as its predicted required power at the target time, it means that the predicted charging demand information is the same as the current charging demand information. If the target vehicle's required power at the current time is different from its predicted required power at the target time, it means that the predicted charging demand information is different from the current charging demand information. If the current charging demand information is the target vehicle's required current and voltage at the current time, the product of the required current and voltage can be calculated to obtain the target vehicle's required power at the current time. Then, the product of the predicted required current and the predicted required current at the target time can be calculated to obtain the target vehicle's predicted required power at the target time. Finally, the target vehicle's required power at the current time can be compared with its predicted required power at the target time.

[0049] Optionally, it can also be determined whether the difference between the predicted charging demand information and the current charging demand information of the target vehicle is greater than a preset demand difference. If the difference between the predicted charging demand information and the current charging demand information of the target vehicle is greater than the preset demand difference, step S202 is executed; if the difference between the predicted charging demand information and the current charging demand information of the target vehicle is less than or equal to the preset demand difference, step S202 is skipped.

[0050] The charging module is switched on and off only when the charging demand changes, which avoids frequent switching and ensures that the output of the charging equipment can meet the charging needs of the vehicle in real time.

[0051] S202, before the target time arrives, the charging module is switched on and off based on the predicted charging demand information of the target vehicle.

[0052] Here, switching the charging module according to the predicted charging demand information of the target vehicle means connecting the charging module that matches the predicted charging demand information of the target vehicle to the DC bus connected to the target vehicle, so that the output of the charging equipment meets the predicted charging demand information of the target vehicle.

[0053] For example, if the predicted charging demand information of the target vehicle is the predicted power demand, which is 50kW, then switching the charging modules based on the predicted charging demand information of the target vehicle means connecting the charging modules with a total power of 50kW to the DC bus connected to the target vehicle, so that the output power of the charging equipment is 50kW.

[0054] In one feasible implementation, the charging module switching can be performed through the following steps A1-A3:

[0055] A1. Determine the demand information difference between the predicted charging demand information of the target vehicle and the current charging demand information of the target vehicle to obtain the second demand information difference.

[0056] Here, the second demand information difference is used to reflect the demand difference between the target vehicle's charging demand at the current time and the target vehicle's predicted charging demand at the target time.

[0057] If the current charging demand information is the target vehicle's power demand at the current time, the difference between the predicted power demand at the target time and the target vehicle's power demand at the current time can be calculated to obtain the second demand information difference, i.e., the second demand information difference is Δp = Pd1 - P0, where Pd1 represents the target vehicle's predicted power demand at the target time and P0 represents the target vehicle's power demand at the current time. If the current charging demand information is the target vehicle's current and voltage demand at the current time, the product of the target vehicle's current and voltage demand at the current time can be calculated to obtain the target vehicle's power demand at the current time. The product of the predicted current and voltage demand at the target time can then be calculated to obtain the predicted power demand at the target time. Finally, the difference between the predicted power demand at the target time and the target vehicle's power demand at the current time can be calculated to obtain the second demand information difference.

[0058] A2. If the predicted charging demand information is greater than the current charging demand information, deploy an idle charging module that matches the difference in the second demand information to the target vehicle.

[0059] The idle charging module is a charging module that is not yet connected to the DC bus, and the switching switch between the idle charging module and the DC bus is open. The idle charging module matching the second demand information difference (hereinafter referred to as the first idle charging module) is an idle charging module whose output power matches the second demand information difference; the output power of the first idle charging module is greater than or equal to the second demand information difference. Connecting the first idle charging module to the target vehicle means turning on the switching switch between the DC bus corresponding to the target vehicle and the first idle charging module, so that the first idle charging module can be used to charge the target vehicle. The DC bus corresponding to the target vehicle refers to the DC bus connected to the target vehicle.

[0060] If all charging modules in the charging equipment have the same output power, the first number of modules to be put into operation can be determined based on the second demand information difference and the output power of the charging modules. Then, n1 idle charging modules can be arbitrarily selected from the idle charging modules in the charging equipment as the first number of idle charging modules, where n1 is the first number of modules to be put into operation. po represents the output power of a charging module. This indicates rounding up, and |Δp| ​​indicates taking the absolute value of the difference in information about the second requirement.

[0061] If the output power of each charging module in the charging device is different, it can be determined whether there is an idle charging module whose output power is greater than the second demand information difference. If there is an idle charging module whose output power is greater than the second demand information difference, the idle charging module whose output power is closest to the second demand information difference is selected as the first idle charging module. If there is no idle charging module whose output power is greater than the second demand information difference, the idle charging module with the largest output power is selected as the first idle charging module, and the second demand information difference is updated to the difference between the second demand information difference and the output power of the newly determined first idle charging module. The process of determining whether there is an idle charging module whose output power is greater than the second demand information difference is repeated until an idle charging module with an output power greater than the second demand information difference is found, thereby obtaining one or more first idle charging modules.

[0062] A3. If the predicted charging demand information is less than the current charging demand information, cut out the charging modules that match the difference in the second demand information from the charging modules already allocated to the target vehicle.

[0063] Here, the charging module already allocated to the target vehicle refers to the charging module that has already been used to charge the target vehicle, and the switching switch between the charging module already allocated to the target vehicle and the DC bus corresponding to the target vehicle is turned on. The allocated charging module that matches the second demand information difference (hereinafter referred to as the first allocated charging module) refers to the allocated charging module whose output power matches the second demand information difference.

[0064] If the output power of each charging module in the charging equipment is the same, the first cut-out quantity can be determined based on the second demand information difference and the output power of the charging modules. Any n² allocated charging modules can be selected from the charging modules already assigned to the target vehicle as the first allocated charging modules, where n² is the first cut-out quantity. This indicates rounding down to the nearest integer.

[0065] If the output power of each charging module in the charging device is different, it can be determined whether there is an assigned charging module with an output power less than |Δp| ​​among the charging modules already allocated to the target vehicle. If there is an assigned charging module with an output power less than |Δp|, the assigned charging module with the output power less than |Δp| ​​that is closest to |Δp| ​​is determined as the first assigned charging module, and |Δp| ​​is updated to the difference between |Δp| ​​and the output power of the newly determined first assigned charging module. The process returns to the step of determining whether there is an assigned charging module with an output power less than the second demand information difference among the charging modules already allocated to the target vehicle, until there is no assigned charging module with an output power less than |Δp|, thereby obtaining one or more first assigned charging modules.

[0066] Selecting which charging modules to add and remove based on the demand information difference between predicted and current charging demand information can reduce some addition and removal operations and improve the speed of charging module addition and removal.

[0067] In another feasible implementation, charging modules can be switched on and off directly based on predicted charging demand information. Idle charging modules matching the predicted charging demand information can be identified from the available charging modules. All charging modules currently allocated to the target vehicle can be switched off, and all idle modules matching the predicted charging demand information can be put into operation.

[0068] In some possible scenarios, the timing of charging module activation / deactivation can also be determined. This involves determining the duration between the current time point and the target time point to obtain the target duration; then determining if the target duration is greater than the required activation / deactivation duration; if the target duration is less than or equal to the required activation / deactivation duration, the charging module is activated / deactivated at the current time point based on the predicted charging demand information of the target vehicle; if the target duration is greater than the required activation / deactivation duration, the charging module is activated / deactivated at a delay time point after the current time point based on the predicted charging demand information, and the duration between the delay time point and the current time point is equal to the difference between the target duration and the required activation / deactivation duration.

[0069] For example, the current time point is denoted as t0, the target time point is denoted as td, the required time for switching is denoted as T, and the target time is denoted as Δt, where Δt = td - t0. If Δt ≤ T, then the charging module is switched at t0 based on the predicted charging demand information of the target vehicle; if Δt > T, then the charging module is switched at t1 based on the predicted charging demand information of the target vehicle, where t1 - t0 = Δt - T.

[0070] When the time interval between the current time point and the future time point is less than or equal to the time required for switching, the charging module is switched at the current time point, which can reduce the time difference between the time point of completion of switching and the target time point; when the time interval between the current time point and the future time point is greater than the time required for switching, the charging module is switched after a corresponding delay, which can ensure that the output of the charging module at the future time point matches the charging needs of the vehicle at the future time point.

[0071] In the technical solution corresponding to Figure 4 above, the predicted charging demand information of the target vehicle is obtained by predicting the charging demand information of the target vehicle at the target time point at the current time point. Before the target time point arrives, the charging module is switched on and off based on the predicted charging demand information of the target vehicle. Since the target time point is a future time point after the current time point, it is equivalent to predicting the charging demand of the vehicle currently being charged in advance and switching on and off the charging module in advance. This can reduce the time difference between the time point of completion of the switching and the target time point, thereby matching the charging demand of the vehicle in a timely manner, shortening the charging time, and improving the charging efficiency.

[0072] Referring to Figure 5, which is a flowchart illustrating another charging module switching method provided in this embodiment, this method can be applied to charging equipment or devices connected to the charging equipment (such as backend devices, cloud servers, etc.). As shown in Figure 5, the method includes the following steps:

[0073] S301, at the current time point, predict the charging curve of the target vehicle based on the vehicle information of the target vehicle, and obtain the target charging curve.

[0074] Here, the target charging curve is used to reflect the change in the charging demand of the target vehicle over time. The target charging curve can be a charging curve showing the change in the target vehicle's required power over time, or it can be a charging curve showing the change in the target vehicle's required charging current and required voltage over time.

[0075] The vehicle information of the target vehicle may include the vehicle model information and the battery specifications of the target vehicle; the vehicle information of the target vehicle may also include the historical charging information of the target vehicle, which may include historical charging voltage, historical charging current, historical charging power, etc.

[0076] In some possible scenarios, charging curve parameters corresponding to the charging curves of different vehicle models can be pre-stored. These charging curve parameters represent the correlation between charging demand information and time. The charging curve parameters corresponding to the target vehicle's information can be obtained based on the target vehicle's information. The charging curve is then determined based on these parameters, thus obtaining the target charging curve. For example, the charging curve can be represented as y = f(t), where y represents the charging demand information, t represents time, f() is a function expression, and the charging curve parameters are the parameters in f(). Since the parameters in f() are known, the f() function corresponding to the target vehicle's information can be obtained, thereby obtaining the target charging curve.

[0077] In other possible scenarios, regression or fitting predictions can be performed based on the historical charging information of the target vehicle to obtain the charging curve parameters. The target charging curve can then be derived from these parameters. For example, if the charging curve can be represented as y = f(t), and the parameters in f(t) are unknown, historical charging information can be substituted into y = f(t) to obtain multiple function expressions. The parameters in f(t) can then be solved using these expressions to obtain the target charging curve.

[0078] This application does not impose any restrictions on the specific implementation method for predicting the target charging curve.

[0079] S302, based on the target charging curve, determine the charging demand information of the target vehicle at the target time point, and obtain the predicted charging demand information.

[0080] Among them, the charging demand information corresponding to the target time point in the target charging curve can be used as the predicted charging demand information.

[0081] For example, the target charging curve is a charging curve that represents the change of the target vehicle's power demand over time. The target charging curve is shown in Figure 6, and the target time point is td in Figure 6. Then the predicted charging demand information is Pd1 in Figure 6.

[0082] S303 switches the charging module on and off based on the predicted charging demand information of the target vehicle before the target time arrives.

[0083] For details on the specific implementation of step S303, please refer to the description of step S202 above, which will not be repeated here.

[0084] S304, upon reaching the target time point, determine the charging demand information of the target vehicle at the target time point to obtain the actual charging demand information of the target vehicle.

[0085] The actual charging demand information of the target vehicle reflects its true charging needs at a target time point. This information can be the actual power demand, current demand, or voltage demand at the target time point. The target vehicle's control pilot (CP) signal can be acquired, and the charging demand information at the target time point can be obtained from the CP signal to arrive at the target vehicle's actual charging demand information.

[0086] S305, determine the demand information difference between the actual charging demand information of the target vehicle and the predicted charging demand information of the target vehicle, and obtain the first demand information difference.

[0087] If the actual charging demand information of the target vehicle is the actual power demand of the target vehicle at the target time point, the difference between the predicted power demand of the target vehicle at the target time point and the actual power demand of the target vehicle at the target time point can be calculated to obtain the first demand information difference, i.e., the first demand information difference is ΔP = Pd2 - Pd1, where Pd2 represents the actual power demand of the target vehicle at the target time point. If the actual charging demand information of the target vehicle is the actual current demand and actual voltage demand of the target vehicle at the target time point, the product of the actual current demand and actual voltage demand of the target vehicle at the target time point can be calculated to obtain the actual power demand of the target vehicle at the target time point. Then, the product of the predicted current demand and predicted voltage demand of the target vehicle at the target time point can be calculated to obtain the predicted power demand of the target vehicle at the target time point. Finally, the difference between the predicted power demand and the actual power demand of the target vehicle at the target time point can be calculated to obtain the first demand information difference.

[0088] S306, if the first demand information difference is greater than the first preset threshold, update the target charging curve based on the actual charging demand information of the target vehicle.

[0089] Among them, the charging curve parameters corresponding to the target charging curve can be fine-tuned according to the actual charging demand information of the target vehicle, thereby updating the target charging curve. That is, the parameters in f() are updated according to the target time point and the actual charging demand information of the target vehicle.

[0090] When there is a significant difference between the actual charging demand of a vehicle and the predicted charging demand, updating the vehicle's charging curve based on the actual charging demand can calibrate the charging curve, thereby making the charging demand predicted based on the charging curve more accurate.

[0091] In the technical solution corresponding to Figure 5 above, the vehicle's charging curve is predicted based on the vehicle's information, and the charging demand information of the vehicle at future time points is determined based on the predicted charging curve. This enables the early prediction of the vehicle's charging demand, and thus allows for the early switching of charging modules.

[0092] Referring to Figure 7, which is a flowchart illustrating another charging module switching method provided in this application embodiment, this method can be applied to charging equipment or devices connected to the charging equipment (such as backend devices, cloud servers, etc.). As shown in Figure 7, the method includes the following steps:

[0093] S401, predict the charging demand information of the target vehicle at the target time point at the current time point, and obtain the predicted charging demand information of the target vehicle.

[0094] S402 switches the charging module on and off based on the predicted charging demand information of the target vehicle before the target time arrives.

[0095] The specific implementation methods of steps S401 to S402 are described here. Please refer to the relevant descriptions of steps S201 to S202 and steps S301 to S303 mentioned above. They will not be repeated here.

[0096] S403, upon reaching the target time point, determines the charging demand information of the target vehicle at the target time point, and obtains the actual charging demand information of the target vehicle.

[0097] S404, determine the demand information difference between the actual charging demand information of the target vehicle and the predicted charging demand information of the target vehicle, and obtain the first demand information difference.

[0098] The specific implementation methods of steps S403 to S404 are described here, and can be found in the description of steps S304 to S305 above. They will not be repeated here.

[0099] S405, if the first demand information difference is greater than the second preset threshold, the charging module is switched on or off based on the first demand information difference.

[0100] If the actual charging demand of the target vehicle is greater than the predicted charging demand of the target vehicle, an idle charging module (hereinafter referred to as the second idle charging module) that matches the difference in the first demand information is deployed to the target vehicle.

[0101] If all charging modules in the charging equipment have the same output power, the second number of modules to be added can be determined based on the first demand information difference and the charging power output of the charging modules. Then, n3 idle charging modules are arbitrarily selected from the idle charging modules in the charging equipment as the second number of idle charging modules, where n3 is the second number of modules to be added. |Δp| represents the absolute value of the difference in information about the first requirement.

[0102] If the output power of each charging module in the charging device is different, it can be determined whether there is an idle charging module whose output power is greater than the first demand information difference. If there is an idle charging module whose output power is greater than the first demand information difference, the idle charging module whose output power is closest to the first demand information difference is selected as the second idle charging module. If there is no idle charging module whose output power is greater than the first demand information difference, the idle charging module with the largest output power is selected as the second idle charging module, and the first demand information difference is updated to the difference between the first demand information difference and the output power of the newly determined second idle charging module. The process of determining whether there is an idle charging module whose output power is greater than the first demand information difference is repeated until an idle charging module with an output power greater than the first demand information difference is found, thereby determining one or more second idle charging modules.

[0103] If the actual charging demand information of the target vehicle is less than the predicted charging demand information of the target vehicle, a second allocated charging module (hereinafter referred to as the second allocated charging module) that matches the first demand information difference is cut out from the charging modules already allocated to the target vehicle.

[0104] If the output power of each charging module in the charging equipment is the same, the second cut-out quantity can be determined based on the first demand information difference and the charging power output of the charging module. Any n4 allocated power supply modules from the charging modules already assigned to the target vehicle can be selected as the second allocated power supply modules, where n4 is the second cut-out quantity.

[0105] If the output power of each charging module in the charging device is different, it can be determined whether there is an assigned charging module with an output power less than |ΔP| among the charging modules already allocated to the target vehicle. If there is an assigned charging module with an output power less than the first demand information difference, the assigned charging module with the output power less than |ΔP| that is closest to |ΔP| is determined as the second assigned charging module, and |ΔP| is updated to the difference between |ΔP| and the output power of the newly determined second assigned charging module. The process returns to the step of determining whether there is an assigned charging module with an output power less than |ΔP| among the charging modules already allocated to the target vehicle, until there is no assigned charging module with an output power less than |ΔP|, thereby obtaining one or more first assigned charging modules.

[0106] In the technical solution corresponding to Figure 7 above, the charging demand information of the target vehicle at the target time point is predicted at the current time point to obtain the predicted charging demand information of the target vehicle. Before the target time point arrives, the charging module is switched on and off based on the predicted charging demand information of the target vehicle. At the target time point, the charging demand information of the target vehicle at the target time point is determined to obtain the actual charging demand information of the target vehicle. If there is a large difference between the actual charging demand of the vehicle and the predicted charging demand, the charging module is switched on and off based on the demand difference between the actual charging demand of the vehicle and the predicted charging demand, so that the output of the charging equipment can meet the charging demand of the vehicle.

[0107] The method of this application has been described above; the apparatus of this application will be described next.

[0108] Referring to Figure 8, which is a structural schematic diagram of a charging module switching device provided in an embodiment of this application, as shown in Figure 8, the charging module switching device 50 includes:

[0109] The charging demand prediction module 501 is used to predict the charging demand information of a target vehicle at a target time point at the current time point, and obtain the predicted charging demand information of the target vehicle. The target vehicle is the vehicle that is currently being charged, and the target time point is a future time point after the current time point.

[0110] The charging switching module 502 is used to switch the charging module according to the predicted charging demand information before the target time point arrives.

[0111] In one possible design, the charging demand prediction module 501 is specifically used to predict the charging curve of the target vehicle at the current time point based on the vehicle information of the target vehicle, to obtain a target charging curve, the target charging curve being used to reflect the change of the charging demand of the target vehicle over time; and to determine the charging demand information of the target vehicle at the target time point based on the target charging curve, to obtain the predicted charging demand information.

[0112] In one possible design, the charging demand prediction module 501 is further configured to: upon reaching the target time point, determine the charging demand information of the target vehicle at the target time point to obtain the actual charging demand information of the target vehicle; determine the demand information difference between the actual charging demand information and the predicted charging demand information to obtain a first demand information difference; and if the first demand information difference is greater than a first preset threshold, update the target charging curve based on the actual charging demand information.

[0113] In one possible design, the charging switching module 502 is further configured to determine whether the predicted charging demand information is the same as the current charging demand information, wherein the current charging demand information is the charging demand information of the target vehicle at the current time point; if the predicted charging demand information is different from the current charging demand information, the step of switching the charging module according to the predicted charging demand information is executed before the arrival of the target time point.

[0114] In one possible design, the charging switching module 502 is specifically used to: determine the duration between the current time point and the target time point to obtain a target duration; if the target duration is less than or equal to the duration required for switching, perform charging module switching at the current time point based on the predicted charging demand information; if the target duration is greater than the duration required for switching, perform charging module switching at a delay time point after the current time point based on the predicted charging demand information, wherein the duration between the delay time point and the current time point is equal to the difference between the target duration and the duration required for switching.

[0115] In one possible design, the charging switching module 502 is further configured to: upon reaching the target time point, determine the charging demand information of the target vehicle at the target time point to obtain the actual charging demand information of the target vehicle; determine the demand information difference between the actual charging demand information and the predicted charging demand information to obtain a first demand information difference; and if the first demand information difference is greater than a second preset threshold, switch the charging module according to the first demand information difference.

[0116] In one possible design, the charging module 502 is specifically used to: determine the demand information difference between the predicted charging demand information and the current charging demand information to obtain a second demand information difference, wherein the current charging demand information is the charging demand information of the target vehicle at the current time point; if the predicted charging demand information is greater than the current charging demand information, an idle charging module matching the second demand information difference is assigned to the target vehicle; if the predicted charging demand information is less than the current charging demand information, an assigned charging module matching the second demand information difference is switched out from the charging modules already assigned to the target vehicle.

[0117] It should be noted that any content not mentioned in the embodiment corresponding to Figure 8 can be found in the description of the aforementioned method embodiments, and will not be repeated here.

[0118] The aforementioned device obtains the predicted charging demand information of the target vehicle by predicting its charging demand information at the target time point from the current time point. Before the target time point arrives, it switches the charging module according to the predicted charging demand information of the target vehicle. Since the target time point is a future time point after the current time point, it is equivalent to predicting the charging demand of the vehicle currently being charged in advance and switching the charging module in advance. This can reduce the time difference between the completion of the switching time point and the target time point, thereby matching the vehicle's charging demand in a timely manner, shortening the charging time, and improving charging efficiency.

[0119] Referring to Figure 9, which is a schematic diagram of the structure of a computer device 60 provided in an embodiment of this application, the computer device 60 includes a processor 601, a memory 602, and a communication interface 603. The memory 602 and the communication interface 603 are connected to the processor 601, for example, via a bus.

[0120] Processor 601 is configured to support the computer device 60 in performing the corresponding functions in the methods described in the above method embodiments. Processor 601 may be a central processing unit (CPU), a network processor (NP), a hardware chip, or any combination thereof. The aforementioned hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The aforementioned PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0121] Memory 602 is used to store program code, etc. Memory 602 may include volatile memory (VM), such as random access memory (RAM); memory 602 may also include non-volatile memory (NVM), such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state drive (SSD); memory 602 may also include combinations of the above types of memory.

[0122] Communication interface 603 is used for data transmission.

[0123] Processor 601 can call the program code to perform the following operations:

[0124] Predict the charging demand information of the target vehicle at the target time point at the current time point to obtain the predicted charging demand information of the target vehicle. The target vehicle is the vehicle that is currently being charged, and the target time point is a future time point after the current time point.

[0125] Before the target time arrives, the charging module is switched on or off based on the predicted charging demand information.

[0126] This application also provides a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed by a computer, cause the computer to perform the method described in the foregoing embodiments.

[0127] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0128] The above-disclosed embodiments are merely preferred embodiments of this application and should not be construed as limiting the scope of this application. Therefore, any equivalent variations made in accordance with the claims of this application shall still fall within the scope of this application.

Claims

1. A method for switching charging modules, characterized in that, include: Predict the charging demand information of the target vehicle at the target time point at the current time point to obtain the predicted charging demand information of the target vehicle. The target vehicle is the vehicle that is currently being charged, and the target time point is a future time point after the current time point. Before the target time arrives, the charging module is switched on or off based on the predicted charging demand information.

2. The method according to claim 1, characterized in that, The step of predicting the charging demand information of the target vehicle at the target time point from the current time point to the target time point, and obtaining the predicted charging demand information of the target vehicle, includes: At the current time point, the charging curve of the target vehicle is predicted based on the vehicle information of the target vehicle, and the target charging curve is obtained. The target charging curve is used to reflect the change of the charging demand of the target vehicle over time. Based on the target charging curve, the charging demand information of the target vehicle at the target time point is determined, and the predicted charging demand information is obtained.

3. The method according to claim 2, characterized in that, The method further includes: Upon reaching the target time point, determine the charging demand information of the target vehicle at the target time point to obtain the actual charging demand information of the target vehicle. Determine the demand information difference between the actual charging demand information and the predicted charging demand information to obtain the first demand information difference; If the first demand information difference is greater than the first preset threshold, the target charging curve is updated based on the actual charging demand information.

4. The method according to claim 1, characterized in that, Before the arrival of the target time point, and before switching the charging module according to the predicted charging demand information, the process further includes: Determine whether the predicted charging demand information is the same as the current charging demand information, wherein the current charging demand information is the charging demand information of the target vehicle at the current time point; If the predicted charging demand information differs from the current charging demand information, the step of switching the charging module on and off based on the predicted charging demand information before the target time point arrives is executed.

5. The method according to claim 1, characterized in that, The step of switching charging modules based on the predicted charging demand information before the target time point arrives includes: Determine the duration between the current time point and the target time point to obtain the target duration; If the target duration is less than or equal to the duration required for switching, the charging module is switched on or off at the current time based on the predicted charging demand information. If the target duration is greater than the required duration for switching, the charging module is switched at a delay time point after the current time point according to the predicted charging demand information. The duration between the delay time point and the current time point is equal to the difference between the target duration and the required duration for switching.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: Upon reaching the target time point, determine the charging demand information of the target vehicle at the target time point to obtain the actual charging demand information of the target vehicle. Determine the demand information difference between the actual charging demand information and the predicted charging demand information to obtain the first demand information difference; If the first demand information difference is greater than the second preset threshold, the charging module is switched on or off based on the first demand information difference.

7. The method according to any one of claims 1-5, characterized in that, The step of switching charging modules based on the predicted charging demand information includes: Determine the demand information difference between the predicted charging demand information and the current charging demand information to obtain the second demand information difference, wherein the current charging demand information is the charging demand information of the target vehicle at the current time point; If the predicted charging demand information is greater than the current charging demand information, an idle charging module that matches the difference in the second demand information is deployed to the target vehicle; If the predicted charging demand information is less than the current charging demand information, a charging module that matches the difference in the second demand information is selected from the charging modules already allocated to the target vehicle.

8. A charging module switching device, characterized in that, include: The charging demand prediction module is used to predict the charging demand information of a target vehicle at a target time point at the current time point, and obtain the predicted charging demand information of the target vehicle. The target vehicle is the vehicle that is currently being charged, and the target time point is a future time point after the current time point. The charging switching module is used to switch the charging module on and off based on the predicted charging demand information before the target time point arrives.

9. A computer device, characterized in that, The device includes a memory, a processor, and a communication interface, wherein the memory and the communication interface are connected to the processor, the communication interface is used for transmitting data, and the processor is used to execute one or more computer programs stored in the memory, wherein when the processor executes the one or more computer programs, it causes the computer device to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method as described in any one of claims 1-7.

Citation Information

Patent Citations

  • Charging system of electric car and control method

    CN109532557A

  • Real-time control strategy and optimization method for ordered charging of electric vehicles

    CN110774929A

  • Scheduling method, system and equipment of new energy charging station and storage medium

    CN117060474A

  • Prediction method and prediction device for vehicle charging, vehicle and storage medium

    CN118096300A

  • Charging module switching method and device, equipment and storage medium

    CN119250406A