Power distribution method and device of charging equipment, charging equipment and storage medium

Abstract

The invention relates to a power distribution method and device of charging equipment, the charging equipment and a storage medium. The method comprises the steps that when a target triggering condition is met, charging demand parameters of each vehicle and the output power of charging equipment are acquired; wherein the step of satisfying the target triggering condition comprises the following sub-steps: in response to obtaining a triggering signal for switching from one period to the next period, determining that the target triggering condition is satisfied; determining a power distribution result meeting a target charging condition according to the charging demand parameter and the output power of each vehicle; and executing charging work on each vehicle in the next period according to the power distribution result meeting the target condition. According to the scheme provided by the invention, when the vehicle is charged, the charging power distributed to each vehicle in each period can be dynamically adjusted in a certain time by periodically adjusting the power distribution result meeting the target charging condition, so that the charging effect matched with the target charging condition is achieved.

Description

Technical Field

[0001] The present application relates to the field of charging technology, and in particular to a power distribution method and device for a charging device, a charging device, and a storage medium. Background Art

[0002] In related technologies, as new energy vehicles become more and more popular, the demand for vehicle charging is also growing. As an important supporting facility of charging stations, the charging speed of charging piles is an important factor that new energy vehicle users pay attention to, and a reasonable output power allocation plan directly affects the charging speed.

[0003] At present, the charging equipment commonly used in the industry generally adopts the principle of average distribution of output power. If new energy vehicles still occupy a high output power in the high SOC (State-of-Charge, remaining power) stage, it will seriously affect the charging speed of other vehicles, and thus cannot meet the needs of new energy vehicle users to improve charging efficiency and save charging time. Summary of the invention

[0004] In order to solve or partially solve the problems existing in the related art, the present application provides a power allocation method, device, charging device and storage medium for a charging device, which can dynamically adjust the charging power allocated to each vehicle in each cycle within a certain period of time, so as to achieve a charging effect that matches the target charging conditions.

[0005] The first aspect of the present application provides a power allocation method for a charging device, comprising: when a target trigger condition is met, obtaining the charging demand parameters of each vehicle and the output power of the charging device; wherein, meeting the target trigger condition comprises: in response to obtaining a trigger signal for switching from one cycle to the next cycle, determining that the target trigger condition is met; based on the charging demand parameters and output power of each vehicle, determining a power allocation result that meets the target charging condition; wherein the power allocation result includes the charging power allocated to each vehicle respectively; and according to the power allocation result that meets the target condition, executing the charging work for each vehicle in the next cycle.

[0006] In some embodiments, the target charging condition includes: a sum of the charging time of each vehicle determined according to the power allocation result is less than a sum of the charging time of each vehicle determined according to any other power allocation result.

[0007] In some embodiments, the target charging conditions include: any charging power allocated to each vehicle is less than or equal to the output power of the charging device and greater than or equal to zero; and / or the total value of the charging power allocated to each vehicle is less than or equal to the output power of the charging device.

[0008] In some embodiments, the method further includes: in response to detecting a change in the number of vehicles requesting charging, obtaining the number of vehicles currently requesting charging; calculating the average distributed power based on the number of vehicles currently requesting charging and the output power of the charging device, and performing a cycle of charging work on the vehicles currently requesting charging based on the average distributed power.

[0009] In some embodiments, the method also includes: configuring a time value for a cycle; wherein the time value for a cycle is determined in the following manner: determining at least two different preset time values; determining a charging time result generated by performing a charging operation using any one of the preset time values, and obtaining at least two charging time results; determining a target time result from the at least two charging time results, and using the preset time value corresponding to the target time result as a time value for a cycle.

[0010] In some embodiments, obtaining the charging requirement parameters of each vehicle includes: obtaining the required power of each vehicle and the required charging power of each vehicle.

[0011] According to a second aspect of the present application, there is provided a power distribution device for a charging device, the device comprising: an acquisition module, for acquiring the charging demand parameters of each vehicle and the output power of the charging device when the target trigger condition is met; wherein, meeting the target trigger condition comprises: in response to obtaining a trigger signal for switching from one cycle to the next cycle, determining that the target trigger condition is met; a determination module, for determining a power distribution result that meets the target charging condition based on the charging demand parameters and output power of each vehicle; wherein the power distribution result includes the charging power allocated to each vehicle respectively; a power distribution module, for executing the charging work for each vehicle in the next cycle based on the power distribution result that meets the target condition.

[0012] In some embodiments, the device also includes: a detection module, which is used to obtain the number of vehicles currently requesting charging in response to detecting a change in the number of vehicles requesting charging; a calculation module, which is used to calculate the average distributed power based on the number of vehicles currently requesting charging and the output power of the charging device, and perform a cycle of charging work on the vehicles currently requesting charging based on the average distributed power.

[0013] A third aspect of the present application provides a charging device, including: Processor; and The memory stores executable codes thereon, and when the executable codes are executed by the processor, the processor is caused to execute the method as described above.

[0014] A fourth aspect of the present application provides a computer-readable storage medium having executable code stored thereon. When the executable code is executed by a processor of an electronic device, the processor is caused to execute the method as described above.

[0015] The technical solution provided by this application may have the following beneficial effects: The technical solution provided by the present application can re-determine the power allocation result that meets the target charging condition when switching from one cycle charging work to the next cycle charging work when using the charging equipment to charge the vehicle, and perform the charging work for each vehicle in the next cycle according to the power allocation result that meets the target charging condition. Thereby, the charging power allocated to each vehicle is dynamically adjusted in a certain time period when the vehicle is charged, thereby achieving a charging effect that matches the target charging condition.

[0016] The technical solution of the present application can also: achieve the goal of minimizing the total charging time by making the target charging condition that the sum of the charging time of each vehicle determined by the power allocation result is less than the sum of the charging time of each vehicle determined by any other power allocation result, thereby helping to improve charging efficiency and save charging time.

[0017] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and other objects, features and advantages of the present application will become more apparent by describing in more detail the exemplary embodiments of the present application in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same components in the exemplary embodiments of the present application.

[0019] Figure 1 is a flow chart of a power distribution method for a charging device shown in an embodiment of the present application; Figure 2 is another flow chart of the power distribution method of the charging device shown in the embodiment of the present application; Figure 3 is a schematic diagram of the structure of a power distribution device of a charging device shown in an embodiment of the present application; Figure 4 It is a schematic diagram of the structure of the charging device shown in the embodiment of the present application. DETAILED DESCRIPTION

[0020] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to make the present application more thorough and complete, and to fully convey the scope of the present application to those skilled in the art.

[0021] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0022] It should be understood that although the terms "first", "second", "third", etc. may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0023] Intelligently allocating the output power of charging equipment is beneficial to saving energy and improving charging efficiency. When the charging equipment is charging the vehicle, the charging demand of the vehicle changes dynamically with the change of the vehicle's power. The currently commonly used intelligent power allocation scheme only considers historical data or the optimal allocation strategy for fixed conditions, which cannot cope with the dynamically changing charging demand well, and thus cannot realize the dynamic adjustment of the power allocation strategy during the charging process.

[0024] In response to the above problems, an embodiment of the present application provides a power allocation method for a charging device, which can dynamically adjust the power allocation results that meet the target charging conditions during vehicle charging, thereby dynamically adjusting the charging power allocated to each vehicle in a certain time period, thereby achieving a charging effect that matches the target charging conditions.

[0025] The technical solution of the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0026] Figure 1 It is a flow chart of a power distribution method for a charging device shown in an embodiment of the present application.

[0027] See also Figure 1, a power distribution method for a charging device, the method comprising: Step 101, when the target trigger condition is met, the charging demand parameters of each vehicle and the output power of the charging device are obtained.

[0028] Meeting the target trigger condition may include: determining that the target trigger condition is met in response to obtaining a trigger signal for switching from one cycle to the next cycle.

[0029] It can be understood that the vehicle's charging demand is a comprehensive result of the vehicle's state, user intention and environmental constraints. Its dynamic nature ensures that the charging process is both efficient and safe. The actual charging demand may be adjusted due to fluctuations in external conditions, and is ultimately completed by negotiation between the vehicle and the charging equipment.

[0030] In this step, obtaining the charging demand parameters of the vehicle may include: obtaining the required power of each vehicle and the required charging power of each vehicle. The required power of each vehicle may be the maximum requested power monitored within a certain period of time or a cycle. The required charging power may be obtained based on the target charging amount (such as 100% SOC or 90% SOC), the remaining battery capacity monitored in real time by the on-board battery management system (BMS), and the nominal energy of the vehicle.

[0031] For example, the required charging capacity E = (target charging capacity - remaining battery capacity) The nominal energy of the vehicle.

[0032] In this step, it should be noted that whether the target trigger condition is met can be determined by recording the time. After a time period ends, a trigger signal for switching from one period to the next period is triggered according to the recorded time.

[0033] For example, after switching from one cycle of charging operation to the next cycle of charging operation, the power allocation result that meets the target charging condition is re-determined, thereby dynamically adjusting the power allocation strategy.

[0034] Step 102: Determine a power allocation result that meets a target charging condition based on the charging requirement parameters and output power of each vehicle.

[0035] The power allocation result may include the charging power allocated to each vehicle respectively.

[0036] The target charging conditions can be set according to actual needs, and the charging work can be performed using a power allocation strategy that meets the target charging conditions, which is conducive to achieving a charging effect that matches the target charging conditions.

[0037] For example, the target charging conditions may include at least one of the following: 1) any charging power allocated to each vehicle is less than or equal to the output power of the charging equipment, and greater than or equal to zero; 2) the total value of the charging power allocated to each vehicle is less than or equal to the output power of the charging equipment; 3) the total value of the charging time for each vehicle determined according to the power allocation result is less than the total value of the charging time for each vehicle determined by any other power allocation result; 4) battery temperature protection control, etc.

[0038] In this step, it should be noted that the power allocation result refers to the charging power allocated to each vehicle. For example, the vehicles requesting charging are Car A, Car B, and Car C, and the output power of the charging equipment is 540kw; the power allocation result can be 160kw of charging power allocated to Car A, 200kw of charging power allocated to Car B, and 180kw of charging power allocated to Car C. The power allocation result can also be 60kw of charging power allocated to Car A, 260kw of charging power allocated to Car B, and 220kw of charging power allocated to Car C, and so on.

[0039] Step 103: According to the power allocation result that meets the target condition, the charging operation for each vehicle in the next cycle is performed.

[0040] In this step, a time period is allocated to each vehicle according to the power allocation result that meets the target condition, so that the charging work for each vehicle in the next cycle is performed according to the power allocation result that meets the target condition.

[0041] For example, three vehicles A, B, and C are charged. After charging is started, in the first cycle, the charging work of the first cycle is performed according to one-third of the output power of the charging device, that is, the power is evenly distributed. At the same time, the charging demand parameters of each vehicle in the first cycle are recorded. When the first cycle ends and the second cycle begins, a new cycle of charging work is performed. The power allocation result that meets the target charging condition can be determined based on the charging demand parameters of each vehicle recorded in the previous cycle and the output power of the charging device. According to the power allocation result that meets the target condition, a new cycle of charging work for each vehicle is performed. At the same time, the charging demand parameters of each vehicle need to be further recorded. When the second cycle ends and the third cycle begins, a new cycle of charging work is performed. For example, in the third cycle, the power allocation result that meets the target charging condition can be determined based on the charging demand parameters of each vehicle recorded in the second cycle and the output power of the charging device. According to the power allocation result that meets the target condition, the charging work of each vehicle in the third cycle is performed. The power allocation and charging work are repeated in each cycle to achieve the target charging condition. Ensure that the target charging condition is continuously achieved with the optimal power allocation solution.

[0042] The power allocation method of the charging device of the embodiment of the present application can re-determine the power allocation result that meets the target charging condition when switching from one cycle charging work to the next cycle charging work when using the charging device to charge the vehicle, and perform the charging work for each vehicle in the next cycle according to the power allocation result that meets the target charging condition. Thereby, the charging power allocated to each vehicle is dynamically adjusted in a certain time period when the vehicle is charged, thereby achieving a charging effect that matches the target charging condition.

[0043] In some embodiments, the target charging condition includes: a sum of the charging time of each vehicle determined according to the power allocation result is less than a sum of the charging time of each vehicle determined by any other power allocation result.

[0044] In some embodiments, the target charging condition includes: any charging power allocated to each vehicle is less than or equal to the output power of the charging device and greater than or equal to zero; and / or the total value of the charging power allocated to each vehicle is less than or equal to the output power of the charging device. It is understood that the charging power allocated to any vehicle individually cannot be greater than the output power of the charging equipment, nor can it be a negative value.

[0045] It is understandable that the total value of the charging power allocated to each vehicle cannot be greater than the output power of the charging equipment.

[0046] It can be understood that in order to minimize the total charging time of all vehicles requesting charging, the total charging time of all vehicles corresponding to each power allocation scheme can be calculated, and a power allocation scheme with the smallest total charging time can be selected. That is, the sum of the charging time of each vehicle determined by the power allocation result that meets the target condition is less than the sum of the charging time of each vehicle determined by any other power allocation result.

[0047] For example, a linear programming model is used to calculate the power allocation scheme with the shortest total charging time for all vehicles. The decision variable is Pi, which represents the charging power allocated to the i-th vehicle (unit: watt). The objective function is to minimize the charging time. It can be assumed that the charging time of each vehicle is Ti, which can be expressed as Ti=Ei / Pi, and Ei represents the charging demand of the i-th vehicle (unit: watt-hour).

[0048] In order to minimize the total charging time of all vehicles requesting charging, the objective function is set as follows:

[0049] The constraints may include: 1. Power limit, any charging power allocated to each vehicle is less than or equal to the output power of the charging device; 2. Total power limit, the sum of the charging power allocated to each vehicle is less than or equal to the output power of the charging device; 3. Non-negativity constraint, any charging power allocated to each vehicle is greater than or equal to zero.

[0050] The model can be solved using a linear programming solver, that is, the optimal Pi can be obtained, that is, the power allocation result that meets the target conditions can be obtained.

[0051] The power allocation method for the charging equipment of the embodiment of the present application achieves the goal of minimizing the total charging time by making the target charging condition that the sum of the charging time of each vehicle determined according to the power allocation result is less than the sum of the charging time of each vehicle determined by any other power allocation result, thereby facilitating improving the charging efficiency and saving the charging time.

[0052] In some embodiments, the power allocation method of the charging device also includes: in response to detecting a change in the number of vehicles requesting charging, obtaining the number of vehicles currently requesting charging; calculating the average allocated power based on the number of vehicles currently requesting charging and the output power of the charging device, and performing a cycle of charging work on the vehicles currently requesting charging based on the average allocated power.

[0053] It is understandable that in an actual charging scenario, the number of vehicles requesting charging from a charging device may change, such as when a vehicle that is being charged stops charging or a new charging vehicle is added.

[0054] In this embodiment, when it is detected that the number of vehicles requesting charging has changed, the current power allocation mode is jumped out, and the charging work of the vehicles currently requesting charging is performed in one cycle according to the calculated average allocated power. At the same time, the charging demand parameters of each vehicle currently requesting charging are recorded, so that the charging power allocated to each vehicle is dynamically adjusted in a certain time period in the next cycle, thereby achieving a charging effect that matches the target charging conditions.

[0055] In some embodiments, the power allocation method of the charging device also includes: configuring a time value of a cycle; wherein the time value of a cycle is determined in the following manner: determining at least two different preset time values; determining the charging time results generated by performing the charging work using any one of the preset time values, and obtaining at least two charging time results; determining the target time result from the at least two charging time results, and taking the preset time value corresponding to the target time result as the time value of a cycle.

[0056] It can be understood that before performing the periodic charging operation, a time value of a cycle needs to be pre-configured.

[0057] In order to reasonably configure the time value of a cycle, at least two preset time values ​​may be defined first, such as 1 minute, 5 minutes, 30 minutes, etc. Then, the charging time results of the charging work performed over a period of time are compared to obtain the optimal time value, such as taking the preset time value corresponding to the minimum charging time result of at least two charging time results as the time value of a cycle.

[0058] The power allocation method for the charging device of the embodiment of the present application can reasonably configure the time value of a cycle, thereby facilitating improving the charging efficiency and saving the charging time by adjusting the time value of a cycle.

[0059] In order to better understand the present application, the content of the present application is further explained below in conjunction with the embodiments, but the present application is not limited to the following embodiments.

[0060] Figure 2 It is another flowchart of the power distribution method of the charging device shown in the embodiment of the present application.

[0061] See also Figure 2 , in operation 210, a time value of a cycle is configured.

[0062] In operation 220 , the output power of the charging device is acquired.

[0063] In operation 230 , when it is determined to start the charging operation, the average distribution power is calculated according to the number of vehicles currently requesting charging and the output power of the charging equipment, and the charging operation for the vehicles currently requesting charging is performed for one cycle according to the average distribution power.

[0064] It can be understood that the first cycle of charging work is performed, and the average power distribution is used to charge the vehicle. As the initial power distribution strategy, at the same time, during this execution cycle, the charging demand parameters of each vehicle are collected.

[0065] In operation 240 , when it is determined that the target trigger condition is satisfied in response to obtaining a trigger signal for switching from one cycle to the next cycle, a charging requirement parameter of each vehicle and an output power of the charging device are obtained.

[0066] It can be understood that entering the next cycle means executing the charging work of the second cycle.

[0067] In operation 250 , a power allocation result that satisfies a target charging condition is determined based on the charging requirement parameters and output power of each vehicle.

[0068] In operation 260 , the charging operation for each vehicle in the next cycle is performed according to the power allocation result that meets the target condition.

[0069] It can be understood that according to the power allocation result that meets the target condition, the charging work of each vehicle in the second cycle is performed.

[0070] In the above process, when there is no change in the number of vehicles requesting charging, in the third cycle, the fourth cycle, ... the Nth cycle, etc., the charging work for each vehicle is continuously performed according to the power allocation result that meets the target condition. It can be understood that the power allocation result that meets the target condition is calculated based on the real-time charging demand parameter in each cycle.

[0071] In the above process, at any time, if it is detected that the number of vehicles requesting charging has changed, the current power allocation strategy will be jumped out, and the vehicles will be charged according to the average power allocation, and a cycle will be executed. In addition, during this execution cycle, the charging demand parameters of each vehicle are collected, so that in subsequent cycles, the charging work for each vehicle can be continuously performed according to the power allocation results that meet the target conditions.

[0072] During the vehicle charging process, the power allocation result that meets the target charging conditions can be periodically adjusted to dynamically adjust the charging power allocated to each vehicle in each cycle within a certain period of time, thereby achieving a charging effect that matches the target charging conditions.

[0073] Corresponding to the aforementioned application function implementation method embodiment, the present application also provides a power distribution device for a charging device, a charging device and corresponding embodiments.

[0074] Figure 3 It is a schematic diagram of the structure of the power distribution device of the charging equipment shown in the embodiment of the present application.

[0075] See also Figure 3 The power distribution device 300 of the charging device of this embodiment includes an acquisition module 310, a determination module 320 and a power distribution module 330.

[0076] The acquisition module 310 is used to obtain the charging demand parameters of each vehicle and the output power of the charging device when the target trigger condition is met; wherein, meeting the target trigger condition includes: in response to obtaining a trigger signal to switch from one cycle to the next cycle, determining that the target trigger condition is met.

[0077] The determination module 320 is used to determine a power allocation result that meets the target charging condition according to the charging demand parameters and output power of each vehicle; wherein the power allocation result includes the charging power allocated to each vehicle respectively.

[0078] The power allocation module 330 is used to perform the charging operation for each vehicle in the next cycle according to the power allocation result that meets the target condition.

[0079] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated again here.

[0080] According to an embodiment of the present application, any multiple modules of the acquisition module 310, the determination module 320 and the power allocation module 330 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the acquisition module 310, the determination module 320 and the power allocation module 330 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in any appropriate combination of any of them. Alternatively, at least one of the acquisition module 310, the determination module 320 and the power allocation module 330 can be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding function can be executed.

[0081] Figure 4 It is a schematic diagram of the structure of the charging device shown in the embodiment of the present application.

[0082] See also Figure 4 , the charging device 400 includes a memory 410 and a processor 420 .

[0083] The processor 420 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0084] The memory 410 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. Among them, ROM can store static data or instructions required by the processor 420 or other modules of the computer. The permanent storage device may be a readable and writable storage device. The permanent storage device may be a non-volatile storage device that does not lose the stored instructions and data even after the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In some other embodiments, the permanent storage device may be a removable storage device (such as a floppy disk, optical drive). The system memory may be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory may store some or all instructions and data required by the processor at runtime. In addition, the memory 410 may include any combination of computer-readable storage media, including various types of semiconductor storage chips (such as DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory 410 may include a readable and / or writable removable storage device, such as a laser disc (CD), a read-only digital versatile disc (such as a DVD-ROM, a double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (such as an SD card, a mini SD card, a Micro-SD card, etc.), a magnetic floppy disk, etc. Computer-readable storage media do not include carrier waves and transient electronic signals transmitted wirelessly or wired.

[0085] The memory 410 stores executable codes, and when the executable codes are processed by the processor 420 , the processor 420 can execute part or all of the methods described above.

[0086] In addition, the method according to the present application may also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above method of the present application.

[0087] Alternatively, the present application can also be implemented as a computer-readable storage medium (or non-transitory machine-readable storage medium or machine-readable storage medium) on which executable code (or computer program or computer instruction code) is stored. When the executable code (or computer program or computer instruction code) is executed by a processor of an electronic device (or server, etc.), the processor executes part or all of the steps of the above-mentioned method according to the present application.

[0088] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A power distribution method for a charging device, characterized in that: include: When the target trigger condition is met, the charging demand parameter of each vehicle and the output power of the charging device are obtained; wherein the target trigger condition is met, including: in response to obtaining a trigger signal for switching from one cycle to the next cycle, determining that the target trigger condition is met; Determining a power allocation result that meets a target charging condition according to the charging demand parameter of each vehicle and the output power; wherein the power allocation result includes the charging power allocated to each vehicle respectively; According to the power allocation result that meets the target condition, the charging operation for each vehicle in the next cycle is performed.

2. The method according to claim 1, characterized in that The target charging condition includes: The sum of the charging time of each vehicle determined according to the power allocation result is less than the sum of the charging time of each vehicle determined according to any other power allocation result.

3. The method according to claim 1 or 2, characterized in that: The target charging condition includes: Any charging power allocated to each vehicle is less than or equal to the output power of the charging device and greater than or equal to zero; and / or The total value of the charging power allocated to each vehicle is less than or equal to the output power of the charging device.

4. The method according to claim 1, characterized in that: The method further comprises: In response to detecting a change in the number of vehicles requesting charging, obtaining the number of vehicles currently requesting charging; According to the number of vehicles currently requesting charging and the output power of the charging device, an average distribution power is calculated, and a cycle of charging work for the vehicles currently requesting charging is performed according to the average distribution power.

5. The method according to claim 1, characterized in that The method further comprises: Configure a time value for a cycle; wherein the time value for a cycle is determined in the following manner: determining at least two different preset time values; Determine charging time results generated by using any preset time value to perform the charging operation, and obtain at least two charging time results; A target time-consuming result is determined from the at least two charging time-consuming results, and a preset time value corresponding to the target time-consuming result is used as the time value of the one cycle.

6. The method according to claim 1, characterized in that The obtaining of the charging requirement parameters of each vehicle includes: obtaining the required power of each vehicle and the required charging power of each vehicle.

7. A power distribution device for a charging device, characterized in that: include: An acquisition module, configured to acquire the charging demand parameters of each vehicle and the output power of the charging device when a target trigger condition is met; wherein the target trigger condition is met, comprising: determining that the target trigger condition is met in response to obtaining a trigger signal for switching from one cycle to the next cycle; A determination module, configured to determine a power allocation result that satisfies a target charging condition according to the charging demand parameter of each vehicle and the output power; wherein the power allocation result includes the charging power allocated to each vehicle respectively; The power allocation module is used to perform the charging operation for each vehicle in the next cycle according to the power allocation result that meets the target condition.

8. The device according to claim 7, characterized in that The device also includes: a detection module, configured to obtain the number of vehicles currently requesting charging in response to detecting a change in the number of vehicles requesting charging; The calculation module is used to calculate the average distribution power according to the number of vehicles currently requesting charging and the output power of the charging device, and perform a cycle of charging work on the vehicles currently requesting charging according to the average distribution power.

9. A charging device, characterized in that: include: processor; as well as A memory having executable codes stored thereon, which, when executed by the processor, causes the processor to execute the method according to any one of claims 1 to 6.

10. A computer-readable storage medium having executable codes stored thereon, which, when executed by a processor of an electronic device, causes the processor to execute the method according to any one of claims 1 to 6.

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