Load balancing and task scheduling method and system of charging pile

Abstract

The invention provides a load balancing and task scheduling method and system for charging piles, and the method comprises the following steps: obtaining resource state information reported by each target charging pile; performing response capability evaluation on the corresponding target charging column based on the resource state information, and obtaining a corresponding response capability parameter; calculating a corresponding task scheduling comprehensive coefficient according to the response capability parameter of each target charging pile, and calculating a load distribution weight of each target charging pile according to the task scheduling comprehensive coefficient; and distributing the load borne by the corresponding target charging pile according to the load distribution weight of each target charging pile. Therefore, the task allocation proportion is dynamically adjusted in real time based on the response capability parameters of the nodes by evaluating the resource capability of each node, so that the expansion capability and the flexibility of the system are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to a load balancing and task scheduling method for a charging pile and a load balancing and task scheduling system for a charging pile. Background Art

[0002] In a charging station, there are generally multiple charging piles deployed. When multiple charging piles are used to charge multiple electric vehicles at the same time, the charging pile system of the charging station needs to load balance these charging piles to improve the performance and availability of the charging pile system of the charging station.

[0003] In related technologies, charging pile systems mostly rely on fixed nodes for task scheduling. Therefore, when the load or participating nodes increase, the system's expansion capacity is limited, and it is prone to response delays or uneven task distribution problems. In addition, its task scheduling is static and cannot be dynamically adjusted according to real-time resource status or task requirements. It has poor flexibility, resulting in resource waste or task backlogs. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a load balancing and task scheduling method for a charging pile, which evaluates the resource capacity of each node and dynamically adjusts the task allocation ratio in real time based on the response capability parameters of the node, thereby greatly improving the expansion capability and flexibility of the system.

[0005] The technical solution adopted by the present invention is as follows:

[0006] A method for load balancing and task scheduling of charging piles, comprising the following steps: obtaining resource status information reported by each target charging pile; evaluating the response capability of the corresponding target charging pile based on the resource status information, and obtaining corresponding response capability parameters; calculating a corresponding task scheduling comprehensive coefficient according to the response capability parameters of each target charging pile, and respectively calculating the load distribution weight of each target charging pile according to the task scheduling comprehensive coefficient; and distributing the load borne by the corresponding target charging pile according to the load distribution weight of each target charging pile.

[0007] In one embodiment of the present invention, the response capability parameters include adjustable power, response speed and response accuracy.

[0008] In one embodiment of the present invention, the task scheduling comprehensive coefficient is calculated according to the response capability parameter by the following formula:

[0009] C i =W p *P i +W s *S i +W a*A i ,

[0010] Among them, C i is the task scheduling comprehensive coefficient of the i-th target charging pile, P i is the adjustable power of the i-th target charging pile, W p is the first weight coefficient corresponding to the adjustable power, S i is the response speed of the i-th target charging pile, W s is the second weight coefficient corresponding to the response speed, A i is the response accuracy of the i-th target charging pile, W a is the third weight coefficient corresponding to the response accuracy.

[0011] In one embodiment of the present invention, the load distribution weight of each target charging pile is calculated according to the task scheduling comprehensive coefficient by the following formula:

[0012]

[0013] Among them, W j is the load allocation weight of the jth target charging pile, C j is the task scheduling comprehensive coefficient of the jth target charging pile, N is the total number of the target charging piles, It is the sum of the load distribution weights of the N target charging piles.

[0014] In one embodiment of the present invention, the following steps are also included: continuously monitoring the task execution status of each of the target charging piles, and determining whether each of the target charging piles has an abnormal response; if an abnormal response occurs, entering the fuse current limiting mechanism and issuing an alarm signal.

[0015] In one embodiment of the present invention, entering the fuse current limiting mechanism includes: stopping task allocation to the target charging pile with abnormal response, and re-allocating tasks to other target charging piles.

[0016] A load balancing and task scheduling system for charging piles, comprising: a first acquisition unit, the first acquisition unit is used to acquire resource status information reported by each target charging pile; a second acquisition unit, the second acquisition unit is used to evaluate the response capability of the corresponding target charging pile based on the resource status information, and acquire the corresponding response capability parameter; a calculation unit, the calculation unit is used to calculate the corresponding task scheduling comprehensive coefficient according to the response capability parameter of each target charging pile, and calculate the load distribution weight of each target charging pile according to the task scheduling comprehensive coefficient; and a distribution unit, the distribution unit is used to distribute the load borne by the corresponding target charging pile according to the load distribution weight of each target charging pile.

[0017] In one embodiment of the present invention, the load balancing and task scheduling system of the charging pile also includes: a monitoring unit, which is used to continuously monitor the task execution status of each of the target charging piles and determine whether each of the target charging piles has a response abnormality; a fuse current limiting unit, which is used to enter the fuse current limiting mechanism and issue an alarm signal when a response abnormality occurs.

[0018] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the load balancing and task scheduling method of the charging pile is implemented.

[0019] A non-temporary computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned load balancing and task scheduling method for charging piles.

[0020] Beneficial effects of the present invention:

[0021] The present invention evaluates the resource capacity of each node and dynamically adjusts the task allocation ratio in real time based on the response capacity parameters of the node, thereby greatly improving the expansion capacity and flexibility of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of the load balancing and task scheduling method of the charging pile according to an embodiment of the present invention;

[0023] Figure 2 It is a block diagram of a load balancing and task scheduling system for a charging pile according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Figure 1 4 is a flow chart of a method for load balancing and task scheduling of a charging pile according to an embodiment of the present invention.

[0026] like Figure 1 As shown, the load balancing and task scheduling method of the charging pile in the embodiment of the present invention may include the following steps:

[0027] S1, obtaining resource status information reported by each target charging pile.

[0028] The resource status information includes the current load of the target charging state, the operating status (including whether it is faulty or operating normally), the maximum available power, and whether it is controllable. It should be noted that after obtaining the resource status information uploaded by each target charging pile, the resource status information can also be aggregated.

[0029] S2, evaluating the response capability of the corresponding target charging column based on the resource status information, and obtaining corresponding response capability parameters.

[0030] Specifically, the response capability parameters may include adjustable power, response speed, and response accuracy. Among them, the adjustable power indicates the power that the charging pile can adjust up or down. Generally, the larger the adjustable power, the stronger the response capability. Specifically, the adjustable power can be evaluated by the maximum available power of the charging pile and the required power uploaded by the vehicle to be charged; the response speed indicates the speed at which the charging pile adjusts the power. The faster the response speed, the shorter the response time. Specifically, the response speed can be evaluated based on the time consumed from issuing the adjustment command to the completion of the adjustment of the charging pile; the response accuracy indicates the error between the power adjustment achieved in the response task and the target. The higher the response accuracy, the better the execution effect. Specifically, the actual result after the charging pile is adjusted can be compared with the target result, and the deviation value or error rate can be calculated to evaluate the response accuracy. It should be noted that the response capability evaluation process can be completed through test data before the target charging pile is applied to the load balancing and task scheduling process.

[0031] S3, calculating the corresponding task scheduling comprehensive coefficient according to the response capability parameter of each target charging pile, and calculating the load distribution weight of each target charging pile according to the task scheduling comprehensive coefficient.

[0032] In one embodiment of the present invention, the task scheduling comprehensive coefficient is calculated according to the response capability parameter by the following formula:

[0033] C i =W p *P i +W s *S i +W a *A i , (1)

[0034] Among them, C i is the comprehensive coefficient of task scheduling of the i-th target charging pile, P i is the adjustable power of the i-th target charging pile, W p is the first weight coefficient corresponding to the adjustable power, S i is the response speed of the i-th target charging pile, W s is the second weight coefficient corresponding to the response speed, A i is the response accuracy of the i-th target charging pile, W a is the third weight coefficient corresponding to the response accuracy.

[0035] In one embodiment of the present invention, the load distribution weight of each target charging pile is calculated by the following formula according to the task scheduling comprehensive coefficient:

[0036]

[0037] Among them, W j is the load distribution weight of the jth target charging pile, C j is the comprehensive coefficient of task scheduling for the jth target charging pile, N is the total number of target charging piles, is the sum of the load distribution weights of the N target charging piles.

[0038] S4, allocating the load borne by the corresponding target charging pile according to the load distribution weight of each target charging pile.

[0039] In a specific embodiment of the present invention, the total number N of target charging piles is 3, and the first weight coefficient W corresponding to the adjustable power is p The second weight coefficient W corresponding to the response speed is 0.5. s The third weight coefficient W corresponding to the response accuracy is 0.3. a For example, the load regulation task to be allocated is 9KW.

[0040] Assume that the adjustable power of the first target charging pile A is 10KW, the response speed is 1KW / s, and the response accuracy is 90%; the adjustable power of the second target charging pile B is 20KW, the response speed is 2KW / s, and the response accuracy is 100%; the adjustable power of the third target charging pile C is 30KW, the response speed is 3KW / s, and the response accuracy is 90%. After substituting them into formula (1), it can be calculated that the task scheduling comprehensive coefficient C1 of the first target charging pile is 5.48, the task scheduling comprehensive coefficient C2 of the second target charging pile is 10.8, and the task scheduling comprehensive coefficient C3 of the third target charging pile is 16.08.

[0041] Then, after substituting the task scheduling comprehensive coefficient C1 of the first target charging pile, the task scheduling comprehensive coefficient C2 of the second target charging pile, and the task scheduling comprehensive coefficient C3 of the third target charging pile into formula (2), the load distribution weight W1 of the first target charging pile can be calculated as W1=5.48(5.48+10.8+16.08)≈0.17, the load distribution weight W2 of the second target charging pile can be calculated as W2=10.8 / (5.48+10.8+16.08)≈0.33, and the load distribution weight W3 of the third target charging pile can be calculated as W3=16.08 / (5.48+10.8+16.08)≈0.5.

[0042] Finally, the load distribution weight of each target charging pile is multiplied by the load adjustment task to be distributed to calculate the load borne by each target charging pile. Specifically, the load borne by the first target charging pile is D1=0.17*9=1.53KW, the load borne by the second target charging pile is D2=0.33*9=2.97KW, and the load borne by the third target charging pile is D3=0.5*9=4.5KW. Load balancing is performed on each target charging pile according to the load borne by each target charging pile.

[0043] In one embodiment of the present invention, the load balancing and task scheduling method of the charging pile also includes the following steps: continuously monitoring the task execution status of each target charging pile, and determining whether each target charging pile has an abnormal response; if an abnormal response occurs, entering the fuse current limiting mechanism and issuing an alarm signal.

[0044] Specifically, after the load of each target charging pile is evenly distributed, the task execution of each target charging pile can be continuously monitored, including whether the response is on time and whether the power adjustment reaches the expected target. If it is detected that there is an abnormal response of the target charging pile, the system will issue an alarm and enter the fuse mechanism. Among them, when a target charging pile fails, responds abnormally, or fails to complete the task, the task allocation to the target charging pile is stopped, and the remaining load is reallocated to other normally operating target charging piles. The redistribution process can refer to the above load distribution process. In order to avoid redundancy, it will not be described in detail here.

[0045] Therefore, the present invention can effectively improve the scalability, resource utilization and fault tolerance of the demand response system, and is suitable for large-scale, multi-node distributed power systems.

[0046] Furthermore, after the task is completed, the system generates a detailed response plan report, which includes the task execution results, power adjustment, resource utilization, fault handling records, etc. The report can be used for subsequent optimization analysis and performance evaluation to help improve the efficiency of the next task response.

[0047] In summary, according to the load balancing and task scheduling method of the charging pile of the embodiment of the present invention, the resource status information reported by each target charging pile is obtained, and the response capability of the corresponding target charging pile is evaluated based on the resource status information, and the corresponding response capability parameters are obtained, and the corresponding task scheduling comprehensive coefficient is calculated according to the response capability parameters of each target charging pile, and the load distribution weight of each target charging pile is calculated according to the task scheduling comprehensive coefficient, and the load borne by the corresponding target charging pile is distributed according to the load distribution weight of each target charging pile. Therefore, by evaluating the resource capability of each node, the task allocation ratio is adjusted dynamically in real time based on the response capability parameters of the node, thereby greatly improving the expansion capability and flexibility of the system.

[0048] Corresponding to the load balancing and task scheduling method for a charging pile in the above-mentioned embodiment, the present invention further proposes a load balancing and task scheduling system for a charging pile.

[0049] like Figure 2 As shown, the load balancing and task scheduling system of the charging pile according to the embodiment of the present invention may include: a first acquisition unit 100 , a second acquisition unit 200 , a calculation unit 300 and an allocation unit 400 .

[0050] Among them, the first acquisition unit 100 is used to obtain the resource status information reported by each target charging pile, and each charging pile group can communicate wirelessly with the first acquisition module unit 100 through a wireless network to upload the collected resource status information of each target charging pile to, wherein, in each charging pile group, each target charging pile can communicate with the edge energy controller by wired means (including data reporting and power control). After obtaining the resource status information, the first acquisition unit 100 can also aggregate the resource status information. The second acquisition unit 200 is used to evaluate the response capability of the corresponding target charging column based on the resource status information and obtain the corresponding response capability parameters. The calculation unit 300 is used to calculate the corresponding task scheduling comprehensive coefficient according to the response capability parameters of each target charging pile, and calculate the load distribution weight of each target charging pile according to the task scheduling comprehensive coefficient. The allocation unit 400 is used to allocate the load borne by the corresponding target charging pile according to the load distribution weight of each target charging pile.

[0051] In one embodiment of the present invention, Figure 2 As shown, the load balancing and task scheduling system of the charging pile also includes: a monitoring unit 500 and a fuse current limiting unit 600.

[0052] Among them, the monitoring unit 500 is used to continuously monitor the task execution status of each target charging pile and determine whether each target charging pile has a response abnormality; the fuse current limiting unit 600 is used to enter the fuse current limiting mechanism and issue an alarm signal when a response abnormality occurs.

[0053] In one embodiment of the present invention, Figure 2 As shown, the load balancing and task scheduling system of the charging pile further includes a report generating unit 700. The report generating unit 700 is used to generate a detailed demand response plan report, providing detailed data such as task execution results and resource usage.

[0054] It should be noted that for details not disclosed in the load balancing and task scheduling system of the charging pile in the embodiment of the present invention, please refer to the details disclosed in the load balancing and task scheduling system of the charging pile in the embodiment of the present invention, and the specific details will not be described here.

[0055] According to the load balancing and task scheduling system of the charging pile of the embodiment of the present invention, the resource status information reported by each target charging pile is obtained by the first acquisition unit, and the response capability of the corresponding target charging column is evaluated based on the resource status information by the second acquisition unit, and the corresponding response capability parameters are obtained, and the corresponding task scheduling comprehensive coefficient is calculated by the calculation unit according to the response capability parameters of each target charging pile, and the load distribution weight of each target charging pile is calculated according to the task scheduling comprehensive coefficient, and the load borne by the corresponding target charging pile is distributed by the distribution unit according to the load distribution weight of each target charging pile. Therefore, by evaluating the resource capability of each node, the task distribution ratio is adjusted dynamically in real time based on the response capability parameters of the node, thereby greatly improving the expansion capability and flexibility of the system.

[0056] Corresponding to the load balancing and task scheduling method of the charging pile in the above embodiment, the present invention also proposes a computer device.

[0057] The computer device of an embodiment of the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned load balancing and task scheduling method of the charging pile is implemented.

[0058] The computer device according to the embodiment of the present invention evaluates the resource capacity of each node and dynamically adjusts the task allocation ratio in real time based on the response capacity parameters of the nodes, thereby greatly improving the expansion capability and flexibility of the system.

[0059] Corresponding to the load balancing and task scheduling method of the charging pile in the above embodiment, the present invention also proposes a non-temporary computer-readable storage medium.

[0060] The non-temporary computer-readable storage medium of the embodiment of the present invention stores a computer program, which, when executed by a processor, implements the above-mentioned load balancing and task scheduling method for the charging pile.

[0061] According to the non-temporary computer-readable storage medium of an embodiment of the present invention, by evaluating the resource capacity of each node, the task allocation ratio is dynamically adjusted in real time based on the response capacity parameters of the node, thereby greatly improving the expansion capability and flexibility of the system.

[0062] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. "Multiple" means two or more, unless otherwise clearly and specifically defined.

[0063] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0064] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0065] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0066] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0067] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0068] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0069] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0070] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0071] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for load balancing and task scheduling of a charging pile, characterized in that: The following steps are involved: Obtain resource status information reported by each target charging pile; Based on the resource status information, a response capability evaluation is performed on the corresponding target charging column, and a corresponding response capability parameter is obtained; Calculating a corresponding task scheduling comprehensive coefficient according to the response capability parameter of each target charging pile, and calculating a load distribution weight of each target charging pile according to the task scheduling comprehensive coefficient; The load borne by the corresponding target charging pile is distributed according to the load distribution weight of each target charging pile.

2. The method for load balancing and task scheduling of a charging pile according to claim 1, characterized in that: The response capability parameters include adjustable power, response speed and response accuracy.

3. The method for load balancing and task scheduling of a charging pile according to claim 2, characterized in that: The task scheduling comprehensive coefficient is calculated according to the response capability parameter by the following formula: C i =W p *P i +W s *S i +W a *A i , Among them, C i is the task scheduling comprehensive coefficient of the i-th target charging pile, P i is the adjustable power of the i-th target charging pile, W p is the first weight coefficient corresponding to the adjustable power, S i is the response speed of the i-th target charging pile, W s is the second weight coefficient corresponding to the response speed, A i is the response accuracy of the i-th target charging pile, W a is the third weight coefficient corresponding to the response accuracy.

4. The method for load balancing and task scheduling of a charging pile according to claim 1, characterized in that: The load distribution weight of each target charging pile is calculated according to the task scheduling comprehensive coefficient by the following formula: Among them, W j is the load allocation weight of the jth target charging pile, C j is the task scheduling comprehensive coefficient of the jth target charging pile, N is the total number of the target charging piles, It is the sum of the load distribution weights of the N target charging piles.

5. The method for load balancing and task scheduling of a charging pile according to claim 1, characterized in that: The following steps are also included: Continuously monitor the task execution status of each of the target charging piles, and determine whether each of the target charging piles has an abnormal response; If an abnormal response occurs, the fuse current limiting mechanism is activated and an alarm signal is issued.

6. The method for load balancing and task scheduling of a charging pile according to claim 5, characterized in that: Entering the fuse current limiting mechanism includes: Stop allocating tasks to the target charging pile with abnormal response, and reassign tasks to other target charging piles.

7. A load balancing and task scheduling system for a charging pile, characterized in that: include: A first acquisition unit, the first acquisition unit is used to acquire resource status information reported by each target charging pile; a second acquisition unit, the second acquisition unit being used to evaluate the response capability of the corresponding target charging column based on the resource status information and acquire a corresponding response capability parameter; A calculation unit, the calculation unit is used to calculate a corresponding task scheduling comprehensive coefficient according to the response capability parameter of each target charging pile, and calculate a load distribution weight of each target charging pile according to the task scheduling comprehensive coefficient; A distribution unit, wherein the distribution unit is used to distribute the load borne by the corresponding target charging pile according to the load distribution weight of each target charging pile.

8. The load balancing and task scheduling system for charging piles according to claim 7, characterized in that: Also includes: A monitoring unit, the monitoring unit is used to continuously monitor the task execution status of each of the target charging piles, and determine whether each of the target charging piles has a response abnormality; The fuse current limiting unit is used to enter the fuse current limiting mechanism and send out an alarm signal when a response abnormality occurs.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the load balancing and task scheduling method for the charging pile according to any one of claims 1-6 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the load balancing and task scheduling method of the charging pile according to any one of claims 1 to 6 is implemented.

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