Charging control method and device, computer equipment and storage medium

Abstract

The invention discloses a charging control method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring an optimal charging efficiency value corresponding to each non-running charging module of charging equipment; determining the charging demand power of the to-be-charged equipment; according to the charging demand power and the optimal charging efficiency value corresponding to each unoperated charging module, screening and constructing a target charging module combination according to a preset charging strategy; and controlling the target charging module combination to charge the to-be-charged equipment. On the premise that the vehicle charging requirement is met, the charging module with higher efficiency and lower loss can be preferentially selected, the energy loss in the charging process is reduced, and the overall charging efficiency and the system operation economy are improved. And meanwhile, accurate sensing of the use state and the efficiency attenuation condition of each module can be realized, and the reliability and the stability of charging control are improved.

Description

Technical Field

[0001] This application relates to the field of charging technology, and in particular to a charging control method, device, computer equipment, and storage medium. Background Technology

[0002] Competition is becoming increasingly fierce across all industries, and the new energy industry is no exception. Charging efficiency and charging experience have become the core competitiveness of new energy vehicle charging stations. In the practical application of multi-module charging equipment, existing power output scheduling methods generally adopt a first-come, first-served or fixed module combination control mode. This type of scheduling method does not fully consider the differences in the operating status between individual charging modules, resulting in significant deficiencies in the actual charging effect.

[0003] On the one hand, the usage frequency and wear levels of each charging module within the charging equipment vary, resulting in significant differences in the actual working efficiency of each module after long-term operation. However, existing technologies lack an efficiency evaluation mechanism for individual charging modules, typically relying solely on the module's rated power. This can easily lead to inefficient modules operating at full load for extended periods, thereby lowering the overall charging efficiency of the charging equipment and causing insufficient energy utilization.

[0004] On the other hand, existing technologies mostly use initial fixed settings for the efficiency parameters of charging modules, lacking logic for dynamic updates based on usage status. This makes it impossible to adapt to the performance degradation and efficiency changes of charging modules after long-term use, resulting in a disconnect between the scheduling strategy and the actual operating status of the modules. It is difficult to continuously guarantee the overall charging efficiency of the charging station and cannot meet users' actual needs for fast, efficient and stable charging. Summary of the Invention

[0005] Therefore, it is necessary to provide a charging control method, device, computer equipment, and storage medium to address the above-mentioned technical problems and solve at least one of the problems existing in the prior art.

[0006] Firstly, a charging control method is provided, applied to a charging device, the charging device including multiple charging modules, including: Obtain the optimal charging efficiency value for each non-operating charging module of the charging device; Determine the charging power required by the device to be charged; Based on the charging power demand and the optimal charging efficiency value corresponding to each non-operating charging module, a target charging module combination is selected and constructed according to a preset charging strategy. The target charging module combination is a set of one or more charging modules that meet the charging power demand of the device to be charged and have the best overall operating efficiency. The target charging module assembly is controlled to perform charging for the device to be charged.

[0007] In one possible implementation, the step of selecting and constructing a target charging module combination according to a preset charging strategy based on the charging demand power and the optimal charging efficiency value corresponding to each non-operational charging module includes: Based on the optimal charging efficiency value corresponding to each non-operating charging module, determine the maximum effective output power corresponding to each non-operating charging module; The maximum effective output power is accumulated sequentially according to the optimal charging efficiency values ​​from high to low until the total accumulated power is greater than or equal to the charging demand power, so as to determine the target charging module combination.

[0008] In one possible implementation, determining the maximum effective output power corresponding to each non-operational charging module based on the optimal charging efficiency value corresponding to each non-operational charging module includes: Determine the rated power of each non-operating charging module; Multiply the rated power of each non-operating charging module by its corresponding optimal charging efficiency value to obtain the maximum effective output power of each non-operating charging module.

[0009] In one possible implementation, the target charging module combination includes multiple charging modules, and after selecting and constructing the target charging module combination according to a preset charging strategy, it further includes: The reference output power of each charging module is determined based on its optimal charging efficiency and rated power. If the sum of the baseline output power of each module is less than the charging power requirement, the output power of the corresponding charging modules will be supplemented and allocated in order of the optimal efficiency value from low to high, so that the total output power meets the charging power requirement.

[0010] In one possible implementation, the optimal charging efficiency value is determined by the following steps: Determine the initial efficiency value, cumulative number of uses, and attenuation coefficient for each non-operating charging module; Based on the initial efficiency value, cumulative usage times, and attenuation coefficient, determine the optimal charging efficiency value for each non-operational charging module; The optimal charging efficiency value decreases as the cumulative number of uses increases.

[0011] In one possible implementation, the attenuation coefficient is determined in segments based on different intervals of cumulative usage counts, with different attenuation coefficients corresponding to different usage count intervals, and the attenuation coefficient increases progressively with the increase of cumulative usage counts.

[0012] In one possible implementation, after controlling the target charging module assembly to perform charging for the device to be charged, the method further includes: Once charging is complete, a charging order is generated and reported to the charging platform, so that the charging platform can update the cumulative number of times the corresponding charging module has been used and the optimal charging efficiency value based on the charging order. The charging order includes at least one of the following: charging module number, running time of each charging module, actual output power, and fault status.

[0013] Secondly, a charging control device is provided for use in a charging device, the charging device including multiple charging modules, the device comprising: A charging information acquisition unit is used to acquire the optimal charging efficiency value corresponding to each non-operating charging module of the charging device. The charging demand power acquisition unit is used to determine the charging power demand of the device to be charged. The target charging module combination generation unit is used to filter and construct a target charging module combination according to a preset charging strategy based on the charging power demand and the optimal charging efficiency value corresponding to each non-operating charging module. The target charging module combination is a collection of one or more charging modules that meet the charging power demand of the device to be charged and have the best overall operating efficiency. A charging operation execution unit is used to control the target charging module assembly to perform charging for the device to be charged.

[0014] Thirdly, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and running on the processor, wherein the processor implements the charging control method as described above when executing the computer-readable instructions.

[0015] Fourthly, a computer-readable storage medium is provided that stores computer-readable instructions thereon, which, when executed by a processor, implement the charging control method as described above.

[0016] The aforementioned charging control method, apparatus, computer equipment, and storage medium, implemented by the method, include: acquiring the optimal charging efficiency value corresponding to each non-operating charging module of the charging device; determining the charging power demand of the device to be charged; based on the charging power demand and the optimal charging efficiency value corresponding to each non-operating charging module, selecting and constructing a target charging module combination according to a preset charging strategy, wherein the target charging module combination is a set of one or more charging modules that meet the charging power demand of the device to be charged and have the optimal overall operating efficiency; and controlling the target charging module combination to perform charging for the device to be charged. In this embodiment, the charging device can intelligently select the optimal charging module combination for charging output based on the acquired optimal charging efficiency value of the non-operating charging modules and the actual charging power demand of the device to be charged. Under the premise of meeting the vehicle charging demand, it can prioritize the selection of charging modules with higher efficiency and lower loss, reduce energy loss during the charging process, and improve the overall charging efficiency and system operating economy. Meanwhile, based on the charging module data archives that are uniformly maintained and dynamically updated by the charging platform, it is possible to accurately perceive the usage status and efficiency degradation of each module, making the power scheduling strategy more in line with the actual operating status of the module, improving the reliability and stability of charging control, extending the service life of the charging module, and reducing operation and maintenance costs. Attached Figure Description

[0017] 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.

[0018] Figure 1 This is a schematic diagram of an application environment for a charging control method according to an embodiment of this application; Figure 2 This is a flowchart illustrating a charging control method in one embodiment of this application. Figure 1 ; Figure 3 This is a flowchart illustrating a charging control method in one embodiment of this application. Figure 2 ; Figure 4 This is a flowchart illustrating a charging control method in one embodiment of this application. Figure 3 ; Figure 5 This is a flowchart illustrating a charging control method in one embodiment of this application. Figure 4 ; Figure 6 This is a schematic diagram of the charging control device in one embodiment of this application; Figure 7This is a schematic diagram of a computer device according to one embodiment of this application. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] The charging control method provided in this embodiment can be applied to, for example, Figure 1 In this application environment, the charging platform communicates with the charging equipment, and the charging terminal communicates with the charging platform.

[0021] Specifically, users can send charging requests to the charging platform via a charging terminal. Upon receiving the request, the charging platform obtains the status information of each charging module of the corresponding charging device, including non-operating charging modules, the cumulative number of uses of each module, and the optimal charging efficiency value. Based on this information, the charging platform generates a charging start command and sends it to the corresponding charging device. The charging device receives the command and, based on the information of non-operating charging modules (excluding modules currently in a fault, offline, or disabled state, retaining only non-operating modules in normal condition) and the optimal charging efficiency value, combines this information with the charging power demand of the device to be charged (e.g., a vehicle) to select, combine, and allocate power to the charging modules, and then perform the charging operation on the device. This achieves intelligent power scheduling based on the actual efficiency of the charging modules, improving overall charging efficiency and energy utilization. The charging terminal includes, but is not limited to, the charging device's main operating screen, user mobile terminals (such as personal computers, laptops, smartphones, tablets, and portable wearable devices), charging start buttons, and QR code charging interfaces—devices or interactive units capable of triggering the charging start command. The charging platform can be implemented using a standalone server or a server cluster consisting of multiple servers, and can be deployed locally or in the cloud.

[0022] It should be noted that the charging platform pre-establishes independent data files for each power module of each charging device, maintaining core parameters for each module, including the module manufacturer, model, rated power, cumulative usage count, and optimal charging efficiency. The initial value for the optimal charging efficiency is set to 70%. Furthermore, after the charging process is complete, the charging platform dynamically updates the data files of the corresponding charging modules based on the module operation information reported by the charging devices, ensuring that parameters such as the optimal charging efficiency and cumulative usage count for each module are accurate and up-to-date.

[0023] In one embodiment, such as Figure 2 As shown, a charging control method is provided, which is applied to... Figure 1 Taking the charging device in the example, the following steps are included: In step S110, the optimal charging efficiency value corresponding to each non-operational charging module of the charging device is obtained; Optionally, when a user initiates a charging request through a charging terminal and the request is verified by the charging platform, the charging platform generates a charging start command and sends it to the charging equipment (such as a charging pile). The charging equipment receives the charging start command to initiate the charging operation. This charging start command is uniformly generated and sent by the charging platform based on the real-time operating status of the charging equipment. The command contains information on all idle, non-operating, and operational charging modules within the current charging equipment, along with the optimal charging efficiency value corresponding to each non-operating charging module. It should be noted that the charging equipment obtains all non-operating, operational charging modules within the current station and their corresponding optimal charging efficiency values, sorts the modules according to their optimal charging efficiency values ​​from highest to lowest, and prioritizes the charging module with the highest efficiency value for charging operation, thereby achieving efficient power scheduling.

[0024] The optimal charging efficiency value refers to the best operating efficiency of the charging module under current usage conditions, enabling it to stably output electrical energy. It is calculated by the charging platform based on the initial efficiency value, cumulative usage count, and segmented attenuation coefficient of the charging module. This value accurately reflects the efficiency changes caused by aging and wear during long-term use. Specifically, the charging platform can determine this value based on pre-established independent data files for each charging module. These files contain information such as the charging module manufacturer, model, rated power, cumulative usage count, and initial efficiency value. The charging platform can dynamically update the optimal charging efficiency value based on the actual usage of the charging modules, allowing the charging equipment to perform subsequent charging scheduling operations based on accurate and real-time module efficiency data.

[0025] In step S120, the charging power requirement of the device to be charged is determined; Optionally, after receiving the charging start command and the information of the non-operational charging module from the charging platform, the charging device establishes a real-time communication connection with the battery management system (BMS) of the device to be charged through the charging interface. After the charging device and the device to be charged complete the physical connection and establish a communication handshake, before officially starting the charging output or during the charging process, the charging device interacts with the vehicle battery management system (BMS) in real time to obtain key parameters such as the current voltage level of the vehicle battery, the allowable charging current, the battery state of charge (SOC), and the range of safe power input allowed by the battery to determine the charging power required by the device to be charged. Alternatively, the charging power required by the device to be charged can be determined based on the charging requirements actively reported by the vehicle BMS (pre-set by the user).

[0026] The charging power demand is the target power that the vehicle is currently allowed to safely input. It is an important basis for the charging equipment to select, combine, and allocate power for subsequent charging modules. At the same time, the charging equipment can dynamically adjust the charging power demand based on the real-time status information fed back by the vehicle's BMS to adapt to the power changes of the vehicle at different charging stages. This ensures that the charging process always matches the actual capacity of the vehicle's battery, improving charging safety, stability, and efficiency.

[0027] In step S130, based on the charging power demand and the optimal charging efficiency value corresponding to each non-operating charging module, a target charging module combination is selected and constructed according to a preset charging strategy. The target charging module combination is a set of one or more charging modules that meet the charging power demand of the device to be charged and have the best overall operating efficiency. Optionally, after obtaining the optimal charging efficiency values ​​for each non-operating charging module and the charging power demand of the device to be charged from the charging platform, suitable charging modules can be selected from all currently non-operating and normal charging modules according to a preset charging strategy to form a target charging module combination of one or more charging modules that meets the charging power demand. The preset charging strategy prioritizes the highest efficiency and minimizes the number of modules, prioritizing charging modules with higher optimal charging efficiency values. While meeting the charging power demand, it minimizes the number of charging modules in operation, ensuring the charging system always operates in the high-efficiency range, reducing energy loss, and improving overall charging efficiency and operational economy. Through the above module selection and combination method, the vehicle's charging needs and the actual working performance of the charging modules can be fully matched, achieving reasonable allocation and efficient scheduling of charging power.

[0028] In step S140, the target charging module assembly is controlled to perform charging for the device to be charged.

[0029] Optionally, based on a defined target combination of charging modules, the corresponding charging modules are controlled to synchronously start outputting electrical energy. During charging, the charging equipment rationally allocates the output power of each module within the combination according to its optimal charging efficiency value, ensuring that the overall charging output matches the determined vehicle charging power demand, while maintaining the charging system operating within its high-efficiency range. The charging equipment continuously communicates with the vehicle's battery management system (BMS), monitoring the charging voltage, charging current, and battery status in real time to ensure stable, safe, and efficient execution of the charging process. The charging equipment continues until the preset charging stop conditions are met, at which point it controls the charging modules to stop outputting, completing the charging operation.

[0030] This application provides a charging control method, comprising: acquiring the optimal charging efficiency value corresponding to each non-operating charging module of the charging device; determining the charging power demand of the device to be charged; based on the charging power demand and the optimal charging efficiency value corresponding to each non-operating charging module, selecting and constructing a target charging module combination according to a preset charging strategy, wherein the target charging module combination is a set of one or more charging modules that meet the charging power demand of the device to be charged and have the best overall operating efficiency; and controlling the target charging module combination to perform charging for the device to be charged. In this application embodiment, the charging device can intelligently select the optimal charging module combination for charging output based on the information of non-operating charging modules and the optimal charging efficiency value issued by the charging platform, combined with the actual charging power demand of the device to be charged. Under the premise of meeting the vehicle's charging needs, it can prioritize the selection of charging modules with higher efficiency and lower losses, reducing energy loss during the charging process and improving overall charging efficiency and system operating economy. Meanwhile, based on the charging module data archives that are uniformly maintained and dynamically updated by the charging platform, it is possible to accurately perceive the usage status and efficiency degradation of each module, making the power scheduling strategy more in line with the actual operating status of the module, improving the reliability and stability of charging control, extending the service life of the charging module, and reducing operation and maintenance costs.

[0031] like Figure 3 As shown, in one embodiment of this application, the step of selecting and constructing a target charging module combination according to a preset charging strategy based on the charging demand power and the optimal charging efficiency value corresponding to each non-operational charging module includes: In step S210, the maximum effective output power corresponding to each non-operational charging module is determined based on the optimal charging efficiency value corresponding to each non-operational charging module. In step S220, the maximum effective output power is accumulated sequentially according to the optimal charging efficiency value from high to low, until the total power after accumulation is greater than or equal to the charging demand power, so as to determine the target charging module combination.

[0032] Optionally, based on the optimal charging efficiency value corresponding to each non-operating charging module and combined with the rated power of each charging module, the maximum effective output power that each non-operating charging module can stably and efficiently output under the current usage state is calculated and determined. This maximum effective output power can truly reflect the actual usable output capability of the charging module at the current efficiency level. Then, all non-operating charging modules can be prioritized according to the optimal charging efficiency value from high to low, and the charging module with higher efficiency is selected first. Then, the maximum effective output power of the corresponding charging modules is accumulated in this order until the total accumulated power is greater than or equal to the charging power demand of the device to be charged. At this point, the accumulation operation stops, and all charging modules involved in this accumulation are determined as the target charging module combination to meet the charging demand. Through the above-mentioned optimization and accumulation combination method, while meeting the vehicle's charging power demand, more efficient charging modules can be selected to the maximum extent, reducing the operation of low-efficiency modules, ensuring that the overall charging system always operates in the high-efficiency range, significantly reducing energy loss, and improving the overall operating efficiency and economy of the charging system.

[0033] For example, suppose the charging power requirement of the device to be charged is 50kW. The current charging equipment has three non-operating charging modules: Module A has a maximum effective output power of 20kW and an optimal charging efficiency of 95%; Module B has a maximum effective output power of 15kW and an optimal charging efficiency of 92%; and Module C has a maximum effective output power of 15kW and an optimal charging efficiency of 85%. The charging equipment first sorts the modules from highest to lowest optimal charging efficiency: Module A, Module B, and Module C. Then, it sequentially adds up the maximum effective output power of each module. First, it adds 20kW from Module A, resulting in a total power of 20kW, which is less than 50kW. Next, it adds 15kW from Module B, resulting in a total power of 35kW, still less than 50kW. Finally, it adds 15kW from Module C, reaching a total power of 50kW, which meets the vehicle's charging power requirement. At this point, the addition stops, and Modules A, B, and C are identified as the target charging module combination for this charging operation.

[0034] In one embodiment of this application, determining the maximum effective output power corresponding to each non-operating charging module based on the optimal charging efficiency value corresponding to each non-operating charging module includes: Determine the rated power of each non-operating charging module; Multiply the rated power of each non-operating charging module by its corresponding optimal charging efficiency value to obtain the maximum effective output power of each non-operating charging module.

[0035] Optionally, based on the data archives of each charging module maintained by the charging platform, the rated power corresponding to each charging module currently in a non-operational state is determined. This rated power is the standard output power calibrated at the time of manufacture. Then, the rated power of each non-operational charging module is multiplied by its corresponding optimal charging efficiency value to calculate the maximum effective output power of each non-operational charging module at the current efficiency state. For example, if non-operational charging module A has a rated power of 20kW and its current optimal charging efficiency value is 95%, then the maximum effective output power of this module is: 20kW × 95% = 19kW, meaning the maximum effective output power of this charging module at the current efficiency state is 19kW.

[0036] like Figure 4 As shown, in one embodiment of this application, the target charging module combination includes multiple charging modules. After selecting and constructing the target charging module combination according to a preset charging strategy, the method further includes: In step S310, the reference output power of each charging module is determined based on the optimal charging efficiency value and rated power of each charging module. In step S320, if the sum of the reference output power of each module is less than the charging power requirement, the output power of the corresponding charging modules is distributed in order of increasing optimal efficiency value to ensure that the total output power meets the charging power requirement.

[0037] Optionally, after determining the target charging module combination that meets the charging power requirements, the charging equipment allocates and adjusts the actual output power of each charging module using a differentiated output control method based on the number of charging modules included in the combination. If the target charging module combination includes multiple charging modules, the reference output power adapted to each module can be determined first based on the optimal charging efficiency value and rated power of each charging module, where reference output power = optimal efficiency value × rated power. When the sum of the above reference output power cannot meet the charging requirements of the device to be charged, the output power of the corresponding charging modules is gradually adjusted in order of increasing optimal charging efficiency value until the overall output power meets the vehicle's charging requirements. This ensures that the system maintains high charging efficiency while meeting the charging requirements, reduces energy loss, and improves the operating efficiency, stability, and reliability of the charging system.

[0038] For example, during charging, the charging power demand of the device to be charged is 50kW. The current charging equipment has two non-operating and normally functioning charging modules: module A has an optimal charging efficiency of 60% and a rated power of 40kW, while module B has an optimal charging efficiency of 50% and a rated power of 40kW. To meet the vehicle's 50kW charging demand while considering the efficiency characteristics of each module, the charging equipment controls the output power of module A to be 60% × 40 = 24kW and the output power of module B to be 50% × 40 = 20kW. Since the optimal efficiency of module B is lower than that of module A, priority is given to ensuring that module A operates at its optimal efficiency. At this point, the output power of module B can be increased to 26kW, so that the total output power of both modules is 50kW, which precisely matches the vehicle's charging power demand. This ensures that the high-efficiency charging module always maintains its optimal efficiency operating point, fully utilizing its high-efficiency operating characteristics, while only adjusting the power of the low-efficiency module. This maximizes the overall operating efficiency of the charging system while meeting the vehicle's charging power demand, effectively reducing energy loss and improving the stability and reliability of the charging process.

[0039] Furthermore, if the target charging module combination includes only one charging module, it means that the maximum effective output power of the single charging module is sufficient to meet the charging power demand of the device to be charged. In this case, the charging device directly controls the charging module to match the power demand of the vehicle and output electrical energy stably. This simplifies the control logic and improves the charging response speed while ensuring the charging demand.

[0040] In one embodiment of this application, the optimal charging efficiency value is determined through the following steps: Determine the initial efficiency value, cumulative number of uses, and attenuation coefficient for each non-operating charging module; Based on the initial efficiency value, cumulative usage times, and attenuation coefficient, determine the optimal charging efficiency value for each non-operational charging module; The optimal charging efficiency value decreases as the cumulative number of uses increases.

[0041] Optionally, the initial efficiency value, cumulative usage count, and preset attenuation coefficient for each non-operating charging module are obtained. The initial efficiency value is the rated operating efficiency calibrated at the time of manufacture, the cumulative usage count is the total number of times the module has historically been used for charging, and the attenuation coefficient characterizes the degree of efficiency degradation as the cumulative usage count increases. Subsequently, based on the initial efficiency value, cumulative usage count, and attenuation coefficient, a comprehensive calculation is performed to determine the optimal charging efficiency value for each non-operating charging module in real time. Since charging modules experience device aging and performance degradation during long-term use, the optimal charging efficiency value decreases accordingly with the increase in cumulative usage count, accurately reflecting the actual operating efficiency of the charging module under current usage conditions and providing a reliable basis for subsequent charging power scheduling and module combination optimization.

[0042] The optimal charging efficiency value can be calculated using the following formula: Optimal charging efficiency value (E) = Initial efficiency value (E0 = 70%) - (Preset attenuation coefficient × cumulative number of uses).

[0043] For example, if the initial efficiency of charging module B is 70%, the cumulative number of uses is 400, and the preset attenuation coefficient is 0.05% / use, then the optimal charging efficiency of this module = the initial efficiency value. Total number of uses × preset attenuation coefficient. Substituting the values, we get: Optimal charging efficiency = 70%. 400 × 0.05% = 69.8%. It can be seen that as the cumulative number of uses increases, the optimal charging efficiency value decreases accordingly, which better reflects the actual operating state of the module.

[0044] It should be noted that the attenuation coefficient is determined segmented according to different intervals of cumulative usage. Different intervals correspond to different attenuation coefficients, and the attenuation coefficient increases progressively with the increase of cumulative usage. For example, the attenuation coefficient can be set according to the following intervals: when the cumulative usage of the module is in the interval [0, 100] times, the attenuation coefficient is 0.03%; when the cumulative usage of the module is in the interval [101, 500] times, the attenuation coefficient is 0.05%; when the cumulative usage is in the interval [501, 1000] times, the attenuation coefficient is 0.08%; when it is >1000 times, the attenuation coefficient is 0.1%, and no further attenuation is added when the number of uses is too high, to avoid abnormal impacts on efficiency calculations caused by early break-in of new modules or deep aging of old modules.

[0045] like Figure 5 As shown, in one embodiment of this application, after controlling the target charging module assembly to perform charging for the device to be charged, the method further includes: In step S410, after charging is completed, a charging order is generated and reported to the charging platform so that the charging platform updates the cumulative number of times the corresponding charging module is used and the optimal charging efficiency value based on the charging order. The charging order includes at least one of the following: charging module number, running time of each charging module, actual output power, and fault status.

[0046] Optionally, after the charging operation of the device to be charged is completed through the target charging module combination, when the charging process ends normally, the charging device generates a charging order corresponding to this charging service and reports the charging module operation information related to this charging to the charging platform. The charging module operation information includes at least one of the following: charging module number, running time of each charging module, actual output power, and fault status. After receiving the charging module operation information, the charging platform updates the cumulative usage count of the corresponding charging module based on the valid operation data, and redetermines the attenuation coefficient in the corresponding segment interval based on the updated cumulative usage count. Then, it recalculates and updates the optimal charging efficiency value of the charging module and stores it in the data table to provide more accurate and actual usage-appropriate basic data for the optimal combination and power allocation of charging modules in the next charging process.

[0047] In this embodiment, the charging device can intelligently select the optimal combination of charging modules for charging output based on the information of inactive charging modules and the optimal charging efficiency value issued by the charging platform, combined with the actual charging power demand of the device to be charged. While meeting the vehicle's charging needs, it can prioritize the use of charging modules with higher efficiency and lower losses, reducing energy loss during charging and improving overall charging efficiency and system operating economy. Simultaneously, based on the charging module data archives uniformly maintained and dynamically updated by the charging platform, it can accurately perceive the usage status and efficiency degradation of each module, making the power scheduling strategy more closely aligned with the actual operating status of the modules, improving the reliability and stability of charging control, extending the lifespan of the charging modules, and reducing maintenance costs.

[0048] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0049] In one embodiment, a charging control device is provided, which corresponds one-to-one with the charging control methods described in the above embodiments. For example... Figure 6 As shown, the charging control device includes a charging information acquisition unit 10, a charging demand power acquisition unit 20, a target charging module combination generation unit 30, and a charging operation execution unit 40. Detailed descriptions of each functional module are as follows: The charging information acquisition unit 10 is used to acquire the optimal charging efficiency value corresponding to each non-operating charging module of the charging device. The charging demand power acquisition unit 20 is used to determine the charging demand power of the device to be charged. The target charging module combination generation unit 30 is used to filter and construct a target charging module combination according to a preset charging strategy based on the charging power demand and the optimal charging efficiency value corresponding to each non-operating charging module. The target charging module combination is a collection of one or more charging modules that meet the charging power demand of the device to be charged and have the best overall operating efficiency. The charging operation execution unit 40 is used to control the target charging module assembly to perform charging for the device to be charged.

[0050] In one embodiment of this application, the target charging module assembly generation unit 30 is further configured to: Based on the optimal charging efficiency value corresponding to each non-operating charging module, determine the maximum effective output power corresponding to each non-operating charging module; The maximum effective output power is accumulated sequentially according to the optimal charging efficiency values ​​from high to low until the total accumulated power is greater than or equal to the charging demand power, so as to determine the target charging module combination.

[0051] In one embodiment of this application, the target charging module assembly generation unit 30 is further configured to: Determine the rated power of each non-operating charging module; Multiply the rated power of each non-operating charging module by its corresponding optimal charging efficiency value to obtain the maximum effective output power of each non-operating charging module.

[0052] In one embodiment of this application, the charging operation execution unit 40 is further configured to: If the target charging module combination includes only one charging module, then control the charging module to output electrical energy that meets the charging power requirement; If the target charging module combination includes multiple charging modules, the actual output power of each charging module is allocated according to the proportion of the optimal charging efficiency value of each charging module to the total optimal charging efficiency value of the target charging module combination.

[0053] In one embodiment of this application, the device further includes an optimal charging efficiency value update unit, used for: Determine the initial efficiency value, cumulative number of uses, and attenuation coefficient for each non-operating charging module; Based on the initial efficiency value, cumulative usage times, and attenuation coefficient, determine the optimal charging efficiency value for each non-operational charging module; The optimal charging efficiency value decreases as the cumulative number of uses increases.

[0054] In one embodiment of this application, the attenuation coefficient is determined in segments according to the different intervals of the cumulative number of uses. Different intervals of the number of uses correspond to different attenuation coefficients, and the attenuation coefficient increases step by step as the cumulative number of uses increases.

[0055] In one embodiment of this application, the device further includes an optimal charging efficiency value update unit, used for: Once charging is complete, a charging order is generated and reported to the charging platform, so that the charging platform can update the cumulative number of times the corresponding charging module has been used and the optimal charging efficiency value based on the charging order. The charging order includes at least one of the following: charging module number, running time of each charging module, actual output power, and fault status.

[0056] In this embodiment, the charging device can intelligently select the optimal combination of charging modules for charging output based on the information of inactive charging modules and the optimal charging efficiency value issued by the charging platform, combined with the actual charging power demand of the device to be charged. While meeting the vehicle's charging needs, it can prioritize the use of charging modules with higher efficiency and lower losses, reducing energy loss during charging and improving overall charging efficiency and system operating economy. Simultaneously, based on the charging module data archives uniformly maintained and dynamically updated by the charging platform, it can accurately perceive the usage status and efficiency degradation of each module, making the power scheduling strategy more closely aligned with the actual operating status of the modules, improving the reliability and stability of charging control, extending the lifespan of the charging modules, and reducing maintenance costs.

[0057] Specific limitations regarding the charging control device can be found in the limitations of the charging control method described above, and will not be repeated here. Each module in the aforementioned charging control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0058] In one embodiment, a computer device is provided, which may be a terminal device, and its internal structure diagram may be as follows: Figure 7As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a readable storage medium storing computer-readable instructions. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer-readable instructions implement a charging control method. The readable storage medium provided in this embodiment includes both non-volatile and volatile readable storage media.

[0059] In this application embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the computer-readable instructions, it implements the steps of the charging control method described above.

[0060] In this embodiment of the application, a readable storage medium is provided, which stores computer-readable instructions. When the computer-readable instructions are executed by a processor, they implement the steps of the charging control method described above.

[0061] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware with computer-readable instructions. These computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When executed, these computer-readable instructions can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0062] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0063] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A charging control method, characterized in that, Applied to a charging device, the charging device including multiple charging modules, the method includes: Obtain the optimal charging efficiency value for each non-operating charging module of the charging device; Determine the charging power required by the device to be charged; Based on the charging power demand and the optimal charging efficiency value corresponding to each non-operating charging module, a target charging module combination is selected and constructed according to a preset charging strategy. The target charging module combination is a set of one or more charging modules that meet the charging power demand of the device to be charged and have the best overall operating efficiency. The target charging module assembly is controlled to perform charging for the device to be charged.

2. The charging control method as described in claim 1, characterized in that, The step of selecting and constructing a target charging module combination according to a preset charging strategy based on the charging demand power and the optimal charging efficiency value corresponding to each non-operational charging module includes: Based on the optimal charging efficiency value corresponding to each non-operating charging module, determine the maximum effective output power corresponding to each non-operating charging module; The maximum effective output power is accumulated sequentially according to the optimal charging efficiency values ​​from high to low until the total accumulated power is greater than or equal to the charging demand power, so as to determine the target charging module combination.

3. The charging control method as described in claim 2, characterized in that, The determination of the maximum effective output power corresponding to each non-operational charging module based on the optimal charging efficiency value of each non-operational charging module includes: Determine the rated power of each non-operating charging module; Multiply the rated power of each non-operating charging module by its corresponding optimal charging efficiency value to obtain the maximum effective output power of each non-operating charging module.

4. The charging control method as described in claim 1, characterized in that, The target charging module combination includes multiple charging modules. After selecting and constructing the target charging module combination according to a preset charging strategy, it further includes: The reference output power of each charging module is determined based on its optimal charging efficiency and rated power. If the sum of the baseline output power of each module is less than the charging power requirement, the output power of the corresponding charging modules will be supplemented and allocated in order of the optimal efficiency value from low to high, so that the total output power meets the charging power requirement.

5. The charging control method as described in claim 1, characterized in that, The optimal charging efficiency value is determined through the following steps: Determine the initial efficiency value, cumulative number of uses, and attenuation coefficient for each non-operating charging module; Based on the initial efficiency value, cumulative usage times, and attenuation coefficient, determine the optimal charging efficiency value for each non-operational charging module; The optimal charging efficiency value decreases as the cumulative number of uses increases.

6. The charging control method as described in claim 5, characterized in that, The attenuation coefficient is determined in segments based on the different intervals of the cumulative number of uses. Different intervals correspond to different attenuation coefficients, and the attenuation coefficient increases progressively with the increase of the cumulative number of uses.

7. The charging control method according to any one of claims 1-6, characterized in that, After controlling the target charging module assembly to perform charging for the device to be charged, the method further includes: Once charging is complete, a charging order is generated and reported to the charging platform, so that the charging platform can update the cumulative number of times the corresponding charging module has been used and the optimal charging efficiency value based on the charging order. The charging order includes at least one of the following: charging module number, running time of each charging module, actual output power, and fault status.

8. A charging control device, characterized in that, Applied to a charging device, the charging device including multiple charging modules, the device includes: A charging information acquisition unit is used to acquire the optimal charging efficiency value corresponding to each non-operating charging module of the charging device. The charging demand power acquisition unit is used to determine the charging power demand of the device to be charged. The target charging module combination generation unit is used to filter and construct a target charging module combination according to a preset charging strategy based on the charging power demand and the optimal charging efficiency value corresponding to each non-operating charging module. The target charging module combination is a collection of one or more charging modules that meet the charging power demand of the device to be charged and have the best overall operating efficiency. A charging operation execution unit is used to control the target charging module assembly to perform charging for the device to be charged.

9. A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and running on the processor, characterized in that, When the processor executes the computer-readable instructions, it implements the charging control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-readable instructions thereon, characterized in that, When the computer-readable instructions are executed by the processor, they implement the charging control method as described in any one of claims 1 to 7.

Images