Charging pile charging control method and system, electronic equipment and storage medium

Abstract

The invention provides a charging pile charging control method and system, electronic equipment and a storage medium, and belongs to the technical field of charging control, the method comprises the steps that multiple single gun control quantities are determined based on a target factor and a whole pile control quantity, and the whole pile comprises multiple single guns; a target charging control strategy is determined based on the multiple single gun control quantities, and the target control quantity of each single gun is determined based on the target charging control strategy; and controlling charging of the charging pile based on the target charging control strategy. According to the charging pile charging control method and system, the electronic equipment and the storage medium provided by the invention, the efficiency and accuracy of charging pile charging control can be improved.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of charging control, and more specifically, relates to a charging pile charging control method and system, electronic equipment, and storage medium. Background Art

[0002] With the development of social needs and the general trend of new energy industry, the number of charging piles is gradually increasing, and the power of a single device is getting bigger and bigger, which has a more and more serious impact on the load of the entire power grid or local transformers, and the control requirements for the charging power of charging piles are getting higher and higher. At present, charging piles have the problem of inaccurate power regulation during the charging process, which affects the charging efficiency.

[0003] Therefore, there is an urgent need for an efficient and accurate charging control method to enable the charging pile to intelligently respond to real-time load management by controlling the charging power. Summary of the invention

[0004] The purpose of the present disclosure is to provide a charging pile charging control method and system, electronic equipment, and storage medium to improve the efficiency and accuracy of charging pile charging control.

[0005] According to a first aspect of an embodiment of the present disclosure, a charging pile charging control method is provided, comprising: Determine multiple single-gun control quantities based on target factors and the whole pile control quantity, wherein the whole pile includes multiple single guns; Determine a target charging control strategy based on the multiple single-gun control amounts, and determine a target control amount for each single-gun based on the target charging control strategy; The charging of the charging pile is controlled based on the target charging control strategy.

[0006] A second aspect of the embodiments of the present disclosure provides a charging pile charging control system, including: A single-gun control amount determination module is used to determine a plurality of single-gun control amounts based on target factors and a whole pile control amount, wherein the whole pile includes a plurality of single guns; A target control amount determination module, used to determine a target charging control strategy based on the multiple single-gun control amounts, and determine a target control amount for each single-gun based on the target charging control strategy; A control module is used to control the charging of the charging pile based on the target charging control strategy.

[0007] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned charging pile charging control method when executing the computer program.

[0008] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned charging pile charging control method are implemented.

[0009] The beneficial effects of a charging pile charging control method and system, electronic device, and storage medium provided by the embodiments of the present disclosure are: The present disclosure determines multiple single-gun control quantities by comprehensively considering target factors and the entire pile control quantity, thereby achieving refined control of each charging gun of the charging pile and improving charging efficiency and energy utilization. Secondly, the present disclosure can formulate a reasonable target charging control strategy based on multiple single-gun control quantities, and determine the specific target control quantity of each single gun accordingly, thereby ensuring the stability and safety of the charging pile during the charging process. In addition, the present disclosure directly controls the charging of the charging pile based on the target charging control strategy, which improves the response speed and reliability of the system. Therefore, the present disclosure can improve the efficiency and accuracy of the charging control of the charging pile. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0011] Figure 1 A schematic diagram of a flow chart of a charging pile charging control method provided in an embodiment of the present disclosure; Figure 2 A general flow chart of a charging pile charging control method provided by an embodiment of the present disclosure; Figure 3 A structural block diagram of a charging pile charging control system provided by an embodiment of the present disclosure; Figure 4 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0012] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0013] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0014] Please refer to Figure 1 , Figure 1 A flow chart of a charging pile charging control method provided in one embodiment of the present disclosure, the method comprising: S101: Determine multiple single-gun control quantities based on target factors and the whole pile control quantity, where the whole pile includes multiple single guns.

[0015] In this embodiment, the target factor is various conditions or indicators that affect the distribution of the control quantity of a single charging pile gun, which may be the rated power of a single gun, the number of rectifier modules, or the gun line capacity.

[0016] In one embodiment of the present disclosure, before determining a plurality of single-gun control amounts based on the target factor and the whole pile control amount, the method further includes: Based on the comparison of multiple control quantities, the lowest control quantity is determined. The multiple control quantities come from different sources, and the lowest control quantity is the whole pile control quantity; In response to the different control modes of the plurality of control variables, each control variable is converted into power.

[0017] In this embodiment, the source of the control quantity can be a power grid, a transformer or a charging pile, or can be a remote background, a local station or its own equipment. The control method of the control quantity can be power, current, etc., so when the control methods of multiple control quantities are different, they can be uniformly converted, such as uniformly converted into power for subsequent distribution.

[0018] The whole pile refers to the whole charging pile, and the single gun refers to a single charging gun. In this embodiment, by comparing multiple control quantities, screening out the lowest control quantity, and taking the lowest control quantity as the whole pile control quantity, overload can be avoided.

[0019] For example, the control amount of the remote background is 30kw, the control amount of the local station is 20kw, and the control amount of the own equipment is 10kw. After receiving all the control amounts, they are compared and the lowest control amount, i.e. 10kw, is searched for and used as the whole pile control amount. Therefore, the whole pile control amount can be determined by multiple factors such as grid capacity, transformer load or the upper limit of the charging pile's own power.

[0020] This embodiment can accurately determine the whole pile control amount, i.e., the minimum control amount, by comparing the control amounts from multiple sources, thus ensuring the rationality and effectiveness of the control amount. At the same time, the control amounts of different control methods are uniformly converted into power, which is convenient for subsequent unified processing and control, improves the accuracy and efficiency of control, and provides a reliable premise and basis for determining multiple single-gun control amounts based on target factors.

[0021] Based on the target factors, the whole pile control amount is proportionally distributed to obtain multiple single-gun control amounts. At this time, the single-gun control amount is a proportional value determined according to the state of the single gun and the different configurations of the single gun. Based on the proportional value, the whole pile control amount is reasonably distributed to each single gun, and multiple single-gun control amounts can be obtained.

[0022] This embodiment is a power allocation process, that is, taking into account various target factors affecting charging and the limitation on the charging power of the entire pile, to determine the appropriate charging power control amount, that is, the initial control amount, for each single gun on the entire pile.

[0023] For example, two charging stations rated at 120 kW are both charging, and the rated capacity of each gun line is 60 kW, so each gun is allocated 10×(60 / 120)=5 kW.

[0024] S102: Determine a target charging control strategy based on multiple single-gun control quantities, and determine a target control quantity for each single-gun based on the target charging control strategy.

[0025] In this embodiment, the multiple single-gun control quantities are charging power values ​​set for different single guns in the preliminary allocation or planning stage, which are determined by step S101.

[0026] The target charging control strategy formulates a charging method or logic to achieve the charging target. It comprehensively considers multiple single-gun control quantities and other related factors to provide a guiding strategy for managing and regulating the entire charging process.

[0027] The target control quantity of each single gun is the charging power value actually executed by each single gun, which is finally determined under the control of the target charging control strategy. Compared with the initial single-gun control quantity, this value is more in line with the overall charging target after strategy optimization and adjustment.

[0028] This embodiment uses the multiple single-gun control quantities determined in step S101 as basic data, and combines other factors that affect charging, such as the difference between the total control quantity of a single gun and the control quantity of the entire pile, the charging power required by the vehicle, etc., to determine a complete set of control rules and methods that can achieve actual charging goals. According to the determined target charging control strategy, the charging power of each single gun is accurately adjusted to ensure that the charging process of each single gun meets the overall charging strategy and goals.

[0029] In one embodiment of the present disclosure, a target charging control strategy is determined based on multiple single-gun control quantities, including: Determine the total control amount of a single gun based on multiple single gun control amounts, and the total control amount of a single gun is greater than or equal to the control amount of the entire pile; In response to the absolute value of the difference between the total control amount of a single gun and the control amount of the entire pile being greater than zero, a target charging control strategy is determined based on a particle swarm algorithm.

[0030] In this embodiment, the total control amount of a single gun is the sum of the control amounts of multiple single guns. The particle swarm algorithm is an intelligent optimization algorithm that simulates the collective behavior of a flock of birds or a school of fish to find the optimal solution. In the charging control strategy, it can be used to find a single-gun power allocation solution that can achieve the best effect (such as the highest efficiency or the lowest cost) in the charging process under various constraints.

[0031] First, the initial control amount of each single gun (i.e., the single-gun control amount) is added together to obtain the single-gun total control amount. The single-gun total control amount may be greater than or equal to the whole pile control amount.

[0032] In response to the difference between the total control amount of a single gun and the whole pile control amount being zero, the single gun control amount is used as the target control amount of the single gun. That is, when the total control amount of a single gun is equal to the whole pile control amount, there is no need to further adjust the single gun control amount, and the single gun control amount can be used as the target control amount of the single gun.

[0033] In response to the absolute value of the difference between the total control amount of a single gun and the control amount of the entire pile being greater than zero, the difference is adjusted to compensate for the allocation strategy to prevent power waste. For example, if the physical capacity of the gun line is very high but the vehicle demand is very low, or if the physical capacity of the gun line is very low but the vehicle demand is very high, the difference adjustment needs to be performed.

[0034] This embodiment integrates multiple single-gun control quantities to obtain the single-gun total control quantity. When there is a difference between the single-gun total control quantity and the whole pile control quantity, the particle swarm algorithm is used to intelligently determine the target charging control strategy, which not only ensures the charging efficiency, but also realizes the optimal allocation of resources, and improves the flexibility and intelligence level of the charging process.

[0035] In response to the absolute value of the difference between the total control amount of a single gun and the control amount of the entire pile being greater than zero, determining a target charging control strategy based on a particle swarm algorithm; Alternatively, determine the target charging control strategy, including: In response to the absolute value of the difference between the total control amount of a single gun and the control amount of the entire pile being greater than zero, the target charging control strategy is to allocate the difference to the single gun that is less than the physical capacity of the single gun and less than the demand of the single gun, until the difference is zero after allocation or the demand of each single gun is full. The physical capacity of a single gun can also be the physical capacity of the gun line. Among them, the total control amount of a single gun is greater than or equal to the control amount of the entire pile.

[0036] The absolute value of the difference is assigned to the single gun that is smaller than the physical capacity of the single gun and smaller than the demand of the single gun, including: If the absolute value of the difference is greater than or equal to the first preset threshold, each single gun is allocated based on the first step length until the absolute value of the first remaining difference is the first preset threshold, and each single gun is allocated based on the second step length until the absolute value of the second remaining difference is zero, wherein the first step length is greater than the second step length.

[0037] The above allocation method is suitable for situations where the demand for a single gun is large.

[0038] The first preset threshold can be set based on experience. When the absolute value of the difference is greater than or equal to the first preset threshold, it indicates that the absolute value of the difference between the total control amount of a single gun and the control amount of the entire pile is relatively large, and more can be further allocated to each single gun to meet the demand for a single gun.

[0039] The absolute value of the first residual difference is the absolute value of the difference minus the power allocated to each single gun based on the first step length, and the absolute value of the second residual difference is the absolute value of the first residual difference minus the power allocated to each single gun based on the second step length. When the absolute value of the second residual difference is zero, the allocation is terminated.

[0040] The calculation formula for the first step length can be:

[0041] in, For the first step, is the absolute value of the difference, is the number of single guns, is the adjustment coefficient; for example, when the difference needs to be reduced more quickly, the adjustment coefficient can be taken close to 1; when the adjustment process needs to be relatively stable, the adjustment coefficient can be taken close to 0.

[0042] The calculation formula for the second step length can be:

[0043] in, is the second step length, is the absolute value of the first residual difference, is the number of single guns, is the attenuation coefficient. A value of will make the second step smaller and the adjustment process more precise, but will increase the number of adjustments; a larger value will make the second step smaller and the adjustment process more precise, but will increase the number of adjustments; A larger value will make the second step length relatively larger and the adjustment speed slightly faster, but it will cause the adjustment to be less precise.

[0044] When the absolute value of the difference between the total control amount of a single gun and the control amount of the entire pile is greater than or equal to the first preset threshold, the power adjustment amount is first allocated to each single gun with a relatively large first step length, and the control amount of each single gun is continuously adjusted so that the total control amount of the single gun gradually approaches the physical capacity of the single gun or the demand of the single gun. When the absolute value of the first remaining difference is reduced to equal to the first preset threshold, switch to a relatively small second step length to continue to allocate power adjustment amounts to each single gun, and make more precise adjustments until the absolute value of the second remaining difference is zero, at which time the power allocation adjustment ends.

[0045] S103: Controlling charging of the charging pile based on the target charging control strategy.

[0046] In this embodiment, after the target charging control strategy is determined according to step S102, charging control can be performed according to the target charging control strategy. In addition, the target charging control strategy determined by steps S101-S102 can be saved to build a charging control strategy library, so that when similar requirements or control quantities are encountered later, the target charging control strategy can be quickly determined to perform charging control of the charging pile, thereby improving the response speed and accelerating the operation efficiency.

[0047] In one embodiment of the present disclosure, the charging control strategy library includes a plurality of target charging control strategies, each of which corresponds to a whole pile control amount as a standard whole pile control amount; A charging pile charging control method further includes: Determining a plurality of similarities based on the target whole pile control amount and the standard whole pile control amount; A target charging control strategy is determined from a charging control strategy library based on a plurality of similarities, and the target charging control strategy is executed.

[0048] The charging control strategy library is a collection of multiple previously determined target charging control strategies, which are pre-formulated according to different charging scenarios, requirements and constraints. Each target charging control strategy corresponds to a whole pile control quantity, which is used as a standard reference value.

[0049] The target whole pile control quantity is the control quantity of the charging pile determined in actual application based on factors such as the current grid capacity, transformer capacity, and load capacity of the charging pile.

[0050] The similarity calculation formula is:

[0051]

[0052]

[0053] in, is the target whole pile control volume, is the standard whole pile control quantity, is the target charging efficiency expectation, is the standard charging efficiency expectation, is the similarity of the whole pile control quantity, is the expected similarity of charging efficiency, is the weight of the whole pile control quantity, is the expected weight of charging efficiency and satisfies , the importance of each factor can be adjusted according to the actual application scenario.

[0054] The similarity of the whole pile control quantity reflects the closeness between the target whole pile control quantity and the standard whole pile control quantity. The smaller the difference, the higher the similarity. The expected charging efficiency similarity measures the similarity between the target charging efficiency expectation and the standard charging efficiency expectation, which helps to select a strategy that better meets the vehicle charging speed requirements. This embodiment gives different weights to different factors, comprehensively considers the impact of each factor on the strategy matching, and obtains a more accurate weighted similarity, so as to more reasonably select the target charging control strategy from the charging control strategy library.

[0055] According to the calculated multiple similarities, the multiple similarities are compared, and the target charging control strategy with the highest similarity to the target whole pile control amount is selected from the charging control strategy library, that is, the strategy with the corresponding standard whole pile control amount closest to the target whole pile control amount is found. Once the target charging control strategy is determined, the control system of the charging pile will control the charging process according to the rules and methods specified in the strategy, such as adjusting the charging power of each single gun, controlling the charging time, etc.

[0056] This embodiment constructs a charging control strategy library and uses the similarity matching between the target whole pile control quantity and the standard whole pile control quantity to accurately select and execute the corresponding target charging control strategy. This embodiment not only improves the charging efficiency and safety of the charging pile, but also realizes the flexible selection and optimization adjustment of the control strategy, effectively reducing the energy waste and equipment loss caused by mismatching control strategies.

[0057] Please refer to Figure 2 , Figure 2 The present invention provides a general flow chart of a charging pile charging control method according to an embodiment of the present invention.

[0058] Specifically, the steps of the present disclosure may be as follows: First, obtain all control quantities. If the control methods are different, convert them into power uniformly. Second, obtain the minimum control volume, which is the control volume of the entire pile; Third, the whole pile control volume (i.e., total control volume) is allocated to each gun to obtain the intermediate volume of each gun; Fourth, obtain the minimum value of the single-gun intermediate amount and the single-gun control amount; Fifth, calculate the sum of the control amounts of all single guns, and calculate the difference between the sum of the control amounts and the control amount of the entire pile; Sixth, if the difference is 0, execute step 7; Seventh, write the control quantities of the guns into the control parameters to obtain the target control strategy; Eighth, execute the target control amount, that is, end; Ninth, if the difference is not 0, execute step 10; Tenth, determine whether there is a single gun that is smaller than the physical capacity and smaller than the single gun demand; Eleventh, if yes, assign the difference to the current gun and continue to step five; if not, directly execute step seven.

[0059] From the above, it can be concluded that the present disclosure determines multiple single-gun control quantities by comprehensively considering target factors and the control quantity of the entire pile, thereby realizing refined control of each charging gun of the charging pile and improving charging efficiency and energy utilization. Secondly, the present disclosure can formulate a reasonable target charging control strategy based on multiple single-gun control quantities, and determine the specific target control quantity of each single gun accordingly, thereby ensuring the stability and safety of the charging pile during the charging process. In addition, the present disclosure directly controls the charging of the charging pile based on the target charging control strategy, thereby improving the response speed and reliability of the system. Therefore, the present disclosure can improve the efficiency and accuracy of charging control of the charging pile.

[0060] In one embodiment of the present disclosure, the target control amount of each single gun is determined based on the target charging control strategy, including: Determine the objective function of the particle swarm algorithm based on multiple influencing factors, and determine the fitness value based on the objective function; Determine the initialization range of the particle swarm algorithm based on multiple single-gun control quantities; Determine the number of particles in the particle swarm algorithm based on single-gun data; Determine the inertia weight of the particle swarm algorithm based on single-gun data and vehicle data; Determine the learning factor of the particle swarm algorithm based on single-shot data and vehicle data; Determine the speed of the particle swarm algorithm based on single-shot data; Iterative calculation is performed based on the number of particles, inertia weight, learning factor and speed until a preset number of iterations is reached or the difference between multiple consecutive fitness values ​​is less than a first fitness threshold; The particle position corresponding to the global optimal position is used as the target control quantity of each single gun.

[0061] In this embodiment, the influencing factors may be charging efficiency, grid load, and battery life. The objective function is a function determined by comprehensively considering multiple influencing factors. The fitness value calculated based on the objective function is the fitness value, that is, multiple influencing factors can be converted into a quantifiable indicator. The fitness value can be calculated by substituting the position of the particle (i.e., a combination of single-gun control quantities) into the objective function. The fitness value is used to measure the pros and cons of the charging scheme represented by the particle. The higher the fitness value, the better the scheme.

[0062] The particle swarm algorithm needs to randomly initialize the position of the particles at the beginning. Multiple single-gun control quantities provide a reference for the initialization range. The control quantity of each single gun has certain physical limitations, such as the rated power of the single gun, the maximum charging power allowed by the vehicle battery, etc. Therefore, the initialization range of the particle position (i.e., the control quantity of each single gun) should be within these physical limitations.

[0063] The choice of the number of particles will affect the performance of the algorithm. Single-shot data, such as the number of single shots and the characteristics of single shots, can be used as a basis for determining the number of particles. Generally speaking, the more single shots there are, the more complex the problem is, and more particles are needed to search the solution space. However, too many particles will increase the amount of calculation and reduce the efficiency of the algorithm. The appropriate number of particles can be determined based on experience or experiments to find a balance between search performance and computing resources.

[0064] The inertia weight w determines the degree to which the particle inherits its own velocity. Single-gun data (such as the power regulation capability of a single gun, response speed, etc.) and vehicle data (such as the status of the vehicle battery, charging requirements, etc.) can be used to determine the appropriate inertia weight. A larger inertia weight is beneficial to global search, allowing particles to explore the solution space faster; a smaller inertia weight is beneficial to local search, allowing particles to adjust their positions more finely. For example, if the vehicle battery urgently needs to be charged quickly, a larger inertia weight may be required to allow particles to find a high-power charging solution faster.

[0065] The calculation formula of inertia weight is:

[0066] in, is the remaining power of the vehicle battery, is the rated power of a single gun, For the The rated power of a single gun, is the number of single guns, is the initial inertia weight, and is the adjustment factor.

[0067] Learning Factor and They determine the ability of the particle to learn from its own historical best position (pbest) and the global best position (gbest). Single-gun data and vehicle data can help determine the values ​​of these two learning factors. If the performance of a single gun is relatively stable and the vehicle charging requirements are clear, you can increase it appropriately. , so that particles can refer to their own experience more; if you want particles to move closer to the global optimal solution faster, you can increase .

[0068] The speed of a particle indicates the speed and direction of the particle moving in the solution space. Single-gun data, such as the power adjustment range and speed limit of a single gun, determine the value range of the particle speed.

[0069] In each iteration, the particle updates its position according to its own speed and calculates a new fitness value. At the same time, the pbest of each particle and the global gbest are updated. The iterative process will continue until the stopping condition is met. The stopping condition can be that the preset number of iterations is reached, which is a simple hard stop condition; or the difference between multiple consecutive fitness values ​​is less than the first fitness threshold, which means that the algorithm has converged and there will be no optimal solution if the iteration continues. When the iterative process stops, the particle position corresponding to the global optimal position represents the optimal combination of single-gun control quantities under the current objective function. Using this combination as the target control quantity for each single gun, precise charging control based on the target charging control strategy can be achieved.

[0070] It can be concluded from the above that this embodiment improves the accuracy and efficiency of charging control by comprehensively considering multiple influencing factors and optimizing the control amount of a single gun using the particle swarm algorithm. This embodiment can adaptively adjust the parameters of the particle swarm algorithm, such as inertia weight, learning factor, etc., to better adapt to different single-gun data and vehicle data. Through iterative calculation, the global optimal solution can be found to ensure that the target control amount of each single gun is optimal, thereby improving the overall performance and user experience of the charging system.

[0071] In one embodiment of the present disclosure, the multiple influencing factors include charging efficiency, grid load, and battery life; The objective function of the particle swarm algorithm is determined based on multiple influencing factors, including: The objective function is determined by weighted calculation based on the quantified value of charging efficiency, the quantified value of grid load and the quantified value of battery life.

[0072] In one embodiment of the present disclosure, a charging pile charging control method further includes: Determine the weight of charging efficiency in the objective function based on the single-gun limit capacity; Determining the weight of the grid load in the objective function based on the grid characteristics; The weight of battery life in the objective function is determined based on the usage time of a single gun.

[0073] In this embodiment, in order to optimize the charging strategy, it is necessary to comprehensively consider multiple influencing factors, namely, charging efficiency, grid load and battery life. This embodiment quantifies these factors and performs weighted calculation to obtain the objective function, and then dynamically adjusts the weight of each factor in the objective function according to different actual conditions (such as the single-gun limit capacity, grid characteristics, and single-gun usage time), thereby formulating a charging control strategy that better meets actual needs.

[0074] Charging efficiency can be quantified by indicators such as the increase in battery power per unit time or charging power utilization rate.

[0075] The calculation formula for the quantitative value of charging efficiency is: ,in, is the quantitative value of charging efficiency; The actual power absorbed by the battery can be measured by measuring the voltage across the battery. and charging current Calculated, that is ; is the total power output by the charging pile.

[0076] The grid load can be quantified by measuring the real-time current, voltage fluctuation, power factor and other parameters of the grid where the charging pile is located.

[0077] The calculation formula of the quantitative value of the power grid load is: ,in, is the quantitative value of the grid load; The power factor of the charging pile indicates the ratio of the active power consumed by the charging pile to the apparent power, which reflects the effective utilization of electric energy; The current power consumed by the charging pile can be obtained in real time through power measurement equipment; It is the total power that the power grid can provide to the area (including the area where the charging pile is located). This value can be determined by power grid planning and related equipment parameters.

[0078] Battery life can be quantified based on indicators such as the number of battery charge and discharge cycles and the battery capacity decay rate.

[0079] The calculation formula for the quantitative value of battery life is: ,in, is the quantitative value of battery life; The actual capacity of the current battery can be obtained through battery capacity detection equipment or based on data recorded by the battery management system; is the initial capacity of the battery, that is, the fully charged capacity of a new battery under ideal conditions.

[0080] The expression of the objective function is:

[0081] in, is the weight of charging efficiency, is the weight of the grid load, is the weight of battery life, and .

[0082] The single-gun limit capacity is the maximum charging power that each charging pile can output. If the single-gun limit capacity is large, it means that the charging pile is capable of charging the vehicle quickly. At this time, the weight of the charging efficiency can be appropriately increased to give full play to the performance of the charging pile and allow the vehicle to be fully charged faster.

[0083] If the single-gun limit capacity is greater than the first preset capacity threshold, the first weight is used as the weight of the charging efficiency; If the single-gun limit capacity is less than or equal to the first preset capacity threshold and greater than the second preset capacity threshold, any weight value between less than the first weight and greater than the second weight is used as the weight of the charging efficiency; If the single-gun limit capacity is less than or equal to the second preset capacity threshold, the second weight is used as the weight of the charging efficiency; Among them, the first preset capacity is greater than the second preset capacity and is set based on experience; the first weight is greater than the second weight.

[0084] The characteristics of the power grid include the peak and valley periods of the power grid, the stability of the power grid, the local electricity price policy, etc. During the peak period of power consumption, in order to avoid excessive pressure on the power grid, the weight of the power grid load needs to be increased, and priority should be given to reducing the impact of charging piles on the power grid.

[0085] If the peak price is greater than the first price and the grid load satisfies the first condition, the weight of the grid load is increased by a third step; If the valley price is less than the second price and the grid load does not satisfy the first condition, the weight of the grid load is reduced by a third step.

[0086] The first condition is that the grid load is tight. The first price and the second price are both set based on experience. The third step can also be set based on experience.

[0087] The usage time of a single gun reflects the usage frequency and aging degree of a single gun of a charging pile. If a single gun is used for a long time, the battery will suffer certain losses during multiple charge and discharge processes. At this time, it is necessary to increase the weight of battery life and adopt a gentler charging method to extend the battery life.

[0088] In response to the increasing trend of the single-gun usage time, the weight of the battery life is increased in a fourth step. The fourth step can be set based on experience.

[0089] It can be concluded from the above that this embodiment comprehensively considers multiple influencing factors such as charging efficiency, grid load and battery life, and determines the objective function through weighted calculation, so that the charging control method of the charging pile is more comprehensive and accurate. This embodiment determines the weight of each influencing factor based on the single-gun limit capacity, grid characteristics and single-gun usage time, which can more accurately reflect the actual situation and improve the pertinence and effectiveness of charging control. This embodiment not only helps to improve charging efficiency, but also balances the grid load and prolongs the battery life, thereby providing users with safer, more efficient and reliable charging services.

[0090] Corresponding to a charging pile charging control method of the above embodiment, Figure 3 This is a structural block diagram of a charging pile charging control system provided by an embodiment of the present disclosure. For the sake of convenience, only the parts related to the embodiment of the present disclosure are shown. Figure 3 The charging pile charging control system 20 includes: a single-gun control amount determination module 21, a target control amount determination module 22 and a control module 23.

[0091] The single-gun control amount determination module 21 is used to determine multiple single-gun control amounts based on target factors and the whole pile control amount, where the whole pile includes multiple single guns; A target control amount determination module 22, used to determine a target charging control strategy based on multiple single-gun control amounts, and determine a target control amount for each single-gun based on the target charging control strategy; The control module 23 is used to control the charging of the charging pile based on the target charging control strategy.

[0092] In one embodiment of the present disclosure, a charging pile charging control system 20 further includes: a whole pile control amount determination module; A whole pile control amount determination module is used to determine a minimum control amount based on comparison of multiple control amounts, where the multiple control amounts come from different sources, and the minimum control amount is the whole pile control amount; In response to the different control modes of the plurality of control variables, each control variable is converted into power.

[0093] In one embodiment of the present disclosure, the target control amount determination module 22 is specifically configured to: Determine the total control amount of a single gun based on multiple single gun control amounts, and the total control amount of a single gun is greater than or equal to the control amount of the entire pile; In response to the absolute value of the difference between the total control amount of a single gun and the control amount of the entire pile being greater than zero, a target charging control strategy is determined based on a particle swarm algorithm.

[0094] In one embodiment of the present disclosure, the target control amount determination module 22 is further configured to: Determine the objective function of the particle swarm algorithm based on multiple influencing factors, and determine the fitness value based on the objective function; Determine the initialization range of the particle swarm algorithm based on multiple single-gun control quantities; Determine the number of particles in the particle swarm algorithm based on single-gun data; Determine the inertia weight of the particle swarm algorithm based on single-gun data and vehicle data; Determine the learning factor of the particle swarm algorithm based on single-shot data and vehicle data; Determine the speed of the particle swarm algorithm based on single-shot data; Iterative calculation is performed based on the number of particles, inertia weight, learning factor and speed until a preset number of iterations is reached or the difference between multiple consecutive fitness values ​​is less than a first fitness threshold; The particle position corresponding to the global optimal position is used as the target control quantity of each single gun.

[0095] In one embodiment of the present disclosure, the multiple influencing factors include charging efficiency, grid load, and battery life; The target control amount determination module 22 is further specifically used for: The objective function is determined by weighted calculation based on the quantified value of charging efficiency, the quantified value of grid load and the quantified value of battery life.

[0096] In one embodiment of the present disclosure, a charging pile charging control system 20 further includes: a weight determination module; A weight determination module, used to determine the weight of charging efficiency in the objective function based on the single-gun limit capacity; Determining the weight of the grid load in the objective function based on the grid characteristics; The weight of battery life in the objective function is determined based on the usage time of a single gun.

[0097] In one embodiment of the present disclosure, the charging control strategy library includes a plurality of target charging control strategies, each of which corresponds to a whole pile control amount as a standard whole pile control amount; A charging pile charging control system 20 further includes: a target charging control strategy application module; A target charging control strategy application module is used to determine multiple similarities based on the target whole pile control quantity and the standard whole pile control quantity; A target charging control strategy is determined from a charging control strategy library based on a plurality of similarities, and the target charging control strategy is executed.

[0098] See also Figure 4 , Figure 4A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 4 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of each module / unit in the above-mentioned system embodiments, such as Figure 3 The functions of modules 21 to 23 are shown.

[0099] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0100] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

[0101] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0102] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of a charging pile charging control method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0103] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0104] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0105] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0106] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0107] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0108] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0109] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0110] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A charging pile charging control method, characterized in that: include: Determine multiple single-gun control quantities based on target factors and the whole pile control quantity, wherein the whole pile includes multiple single guns; Determine a target charging control strategy based on the multiple single-gun control amounts, and determine a target control amount for each single-gun based on the target charging control strategy; The charging of the charging pile is controlled based on the target charging control strategy.

2. A charging pile charging control method as claimed in claim 1, characterized in that: Before determining a plurality of single-gun control quantities based on the target factor and the whole pile control quantity, the method further includes: Determine a minimum control amount based on comparison of multiple control amounts, the multiple control amounts are from different sources, and the minimum control amount is the whole pile control amount; In response to the plurality of controlled variables being controlled in different ways, each controlled variable is converted into power.

3. A charging pile charging control method as claimed in claim 1, characterized in that: The determining of a target charging control strategy based on the multiple single-gun control quantities comprises: Determine a single-gun total control amount based on the multiple single-gun control amounts, the single-gun total control amount being greater than or equal to the whole pile control amount; In response to the absolute value of the difference between the single-gun total control amount and the whole-pile control amount being greater than zero, a target charging control strategy is determined based on a particle swarm algorithm.

4. A charging pile charging control method as claimed in claim 3, characterized in that: Determining the target control amount of each single gun based on the target charging control strategy includes: Determine an objective function of the particle swarm algorithm based on multiple influencing factors, and determine a fitness value based on the objective function; Determining an initialization range of the particle swarm algorithm based on the multiple single-gun control quantities; Determine the number of particles of the particle swarm algorithm based on single-gun data; Determining the inertia weight of the particle swarm algorithm based on the single-gun data and the vehicle data; Determining a learning factor of the particle swarm algorithm based on the single-shot data and the vehicle data; Determining the speed of the particle swarm algorithm based on the single-gun data; Iterative calculation is performed based on the number of particles, the inertia weight, the learning factor and the speed until a preset number of iterations is reached or the difference between multiple consecutive fitness values ​​is less than a first fitness threshold; The particle position corresponding to the global optimal position is used as the target control quantity of each single gun.

5. A charging pile charging control method as claimed in claim 4, characterized in that: The multiple influencing factors include charging efficiency, grid load and battery life; The objective function of the particle swarm algorithm is determined based on multiple influencing factors, including: The objective function is determined by performing weighted calculation based on the quantified value of the charging efficiency, the quantified value of the grid load, and the quantified value of the battery life.

6. A charging pile charging control method as claimed in claim 5, characterized in that: Also includes: Determining the weight of the charging efficiency in the objective function based on the single-gun limit capacity; Determining a weight of the grid load in the objective function based on grid characteristics; The weight of the battery life in the objective function is determined based on the usage time of a single gun.

7. A charging pile charging control method as claimed in claim 1, characterized in that: The charging control strategy library includes multiple target charging control strategies, each of which corresponds to a whole pile control quantity as a standard whole pile control quantity; The charging pile charging control method further includes: Determining a plurality of similarities based on the target whole pile control amount and the standard whole pile control amount; A target charging control strategy is determined from the charging control strategy library based on a plurality of similarities, and the target charging control strategy is executed.

8. A charging pile charging control system, characterized in that: include: A single-gun control amount determination module is used to determine a plurality of single-gun control amounts based on target factors and a whole pile control amount, wherein the whole pile includes a plurality of single guns; A target control amount determination module, used to determine a target charging control strategy based on the multiple single-gun control amounts, and determine a target control amount for each single-gun based on the target charging control strategy; A control module is used to control the charging of the charging pile based on the target charging control strategy.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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