Charging regulation and control method and device for charging pile and medium

Abstract

The invention discloses a charging regulation and control method and device for a charging pile and a medium, and the method comprises the steps: obtaining a battery characteristic parameter of a charging vehicle, and obtaining a charging strategy matched with the charging vehicle from a preset battery parameter database according to the battery characteristic parameter; generating a charging control instruction according to the charging strategy, and issuing the charging control instruction to a charging pile connected with the charging vehicle; the charging vehicle is charged based on the charging strategy, battery state data and environment data corresponding to the charging vehicle are collected in real time in the charging process, and initial charging parameters in the charging strategy are adjusted according to the battery state data and the environment data; and obtaining power grid load information corresponding to the power grid, generating a scheduling instruction according to the power grid load information and the vehicle charging demand, and issuing the scheduling instruction to the charging pile so as to perform charging scheduling on the target charging vehicle connected with the charging pile through the scheduling instruction.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of charging pile, and particularly to a charging regulation method for charging pile, a device and a medium. BACKGROUND

[0002] With the global emphasis on environmental protection and sustainable energy, the use of new energy vehicles is increasingly popular. As a key infrastructure for new energy vehicles, charging piles are facing a series of challenges that need to be addressed. At present, the adaptability of charging piles to different types of new energy vehicle batteries is insufficient, which cannot fully exert the charging performance of the batteries, resulting in low charging efficiency. Moreover, during the peak period of power grid load, there is a lack of effective intelligent scheduling mechanism, which easily causes excessive pressure on the power grid and even failure, thereby affecting the safety and stability of charging. SUMMARY

[0003] To solve the above problems, the present application provides a charging regulation method for charging pile, comprising: obtaining battery characteristic parameters of a charging vehicle, and according to the battery characteristic parameters, obtaining a charging strategy suitable for the charging vehicle from a preset battery parameter database; generating a charging control instruction according to the charging strategy, and issuing the charging control instruction to a charging pile connected to the charging vehicle; charging the charging vehicle based on the charging strategy, and in the charging process, collecting battery state data and environmental data corresponding to the charging vehicle in real time, and adjusting initial charging parameters in the charging strategy according to the battery state data and the environmental data; obtaining power grid load information corresponding to the power grid, generating a scheduling instruction according to the power grid load information and vehicle charging demand, and issuing the scheduling instruction to the charging pile, so as to schedule target charging vehicles connected to the charging pile through the scheduling instruction.

[0004] In an implementation manner of the present application, the scheduling instruction is generated according to the power grid load information and the vehicle charging demand, and is issued to the charging pile, so as to schedule target charging vehicles connected to the charging pile through the scheduling instruction, specifically comprising: determining whether the power grid load information exceeds a preset load; if yes, determining a load scheduling amount and a scheduling level required for scheduling of the power grid; wherein the scheduling level includes a peak scheduling level, an emergency scheduling level and a normal scheduling level; determining a charging priority of the charging vehicle according to the vehicle charging demand and a remaining charging proportion of the charging vehicle; selecting target charging vehicles for scheduling of the power grid load from the charging vehicles in sequence according to the charging priority and the scheduling level. generating a scheduling instruction for the target charging vehicle, so as to schedule charging of the target charging vehicle through the scheduling instruction.

[0005] In an implementation manner of the present application, the charging priority of the charging vehicle is determined according to the vehicle charging demand and the remaining charging proportion of the charging vehicle, and specifically includes: determining a weight coefficient corresponding to the vehicle charging demand and the remaining charging proportion respectively based on the scheduling level; determining a demand priority value corresponding to the vehicle charging demand, and performing weighted summation on the demand priority value and the remaining charging proportion according to the weight coefficient to obtain a summation result; determining the charging priority of the charging vehicle according to the summation result; wherein the charging priority is in a positive correlation with the summation result.

[0006] In an implementation manner of the present application, the target charging vehicle for scheduling the power grid load is sequentially selected from the charging vehicles according to the charging priority and the scheduling level, and specifically includes: determining a scheduling order corresponding to each vehicle according to a descending order of the charging priority; selecting the charging vehicle for scheduling the power grid load from the charging vehicles according to the scheduling order, and calculating a supplementary load amount of a charging pile corresponding to the charging vehicle until the supplementary load amount meets the scheduling demand of the scheduling level.

[0007] In an implementation manner of the present application, the charging vehicle for scheduling the power grid load is selected from the charging vehicles according to the scheduling order, and a supplementary load amount of a charging pile corresponding to the charging vehicle is calculated until the supplementary load amount meets the scheduling demand of the scheduling level, and specifically includes: in the case that the scheduling level is a peak scheduling level, the charging vehicle for scheduling the power grid load is selected from the charging vehicles according to the scheduling order, and a supplementary load amount of a charging pile corresponding to the charging vehicle is calculated until the supplementary load amount can make the power grid enter the emergency scheduling level from the peak scheduling level, to determine the target charging vehicle; in the case that the scheduling level is an emergency scheduling level, a scheduling proportion corresponding to each charging priority is determined, and the target charging vehicle for scheduling the power grid load is sequentially selected from the charging vehicles according to the scheduling order; a supplementary load amount of a charging pile corresponding to the charging vehicle is calculated according to the scheduling proportion until the supplementary load amount can make the power grid enter the emergency scheduling level from the peak scheduling level, to determine the target charging vehicle.

[0008] In an implementation form of the application, after the target charging vehicle connected to the charging pile is scheduled to be charged by the scheduling instruction, the method further comprises: determining a scheduling duration and a scheduling frequency of the target charging vehicle corresponding to the charging pile within a preset time period; generating scheduling record information corresponding to the charging pile according to the scheduling duration and the scheduling frequency; in a case where the grid load information does not exceed a preset load, determining a compensation power supply priority of the target charging vehicle according to the scheduling record information, and resuming normal power supply to the target charging vehicle according to the compensation power supply priority.

[0009] In an implementation form of the application, the initial charging parameter in the charging strategy is adjusted according to the battery state data and the environmental data, specifically comprising: determining the internal resistance of the battery according to the environmental data and the battery historical data; calculating the current charging parameter of the battery according to the battery state parameter and the internal resistance of the battery; correcting the current charging parameter according to the environmental data, and adjusting the initial charging parameter in the charging strategy by the corrected current charging parameter.

[0010] In an implementation form of the application, the current charging parameter of the battery is calculated according to the battery state parameter and the internal resistance of the battery, specifically comprising: determining the open-circuit voltage and the maximum charging current of the battery according to the battery state parameter and the internal resistance of the battery; taking the smaller one of the maximum charging current and the safe charging current of the battery as the current charging current of the battery, and calculating the current charging voltage of the battery according to the current charging current; taking the current charging current and the current charging voltage as the current charging parameter of the battery.

[0011] The embodiments of the application provide a charging regulation device for a charging pile, which comprises: at least one processor; and a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the charging regulation method for the charging pile according to any one of the above.

[0012] This application provides a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows: A charging control method for charging piles as described in any of the preceding items.

[0013] The charging control method for charging piles proposed in this application can bring the following beneficial effects: By matching charging strategies with battery characteristic parameters, the problem of insufficient compatibility of charging piles with different types of new energy vehicle batteries is effectively solved, which can give full play to the charging performance of the battery and significantly improve charging efficiency. At the same time, by combining real-time collected battery status data and environmental data to dynamically adjust charging parameters, the safety and stability of the charging process are ensured. In addition, by introducing an intelligent scheduling mechanism that combines grid load information and charging demand, charging resources can be reasonably allocated during peak grid periods, effectively alleviating grid pressure and avoiding the risk of failure due to overload. Attached Figure Description

[0014] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A schematic flowchart of a charging control method for a charging pile provided in an embodiment of this application; Figure 2 This is a schematic diagram of a charging control device for a charging pile, provided as an embodiment of this application. Detailed Implementation

[0015] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0016] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0017] like Figure 1 As shown in the embodiment of this application, a charging control method for a charging pile includes: S101: Obtain the battery characteristic parameters of the charging vehicle, and based on the battery characteristic parameters, obtain the charging strategy adapted to the charging vehicle from the preset battery parameter database.

[0018] The battery parameter database contains parameters such as types, capacities, and charging characteristics of new energy vehicle batteries commonly found on the market. In the control system of the charging pile, an interface for communication between the charging pile and the vehicle is provided. When the charging vehicle is connected to the charging pile, the charging pile sends a request to the charging vehicle through the communication interface to obtain battery characteristic parameters such as battery type and battery capacity. Then, the system will match and search in the battery parameter database according to the obtained battery characteristic parameters to find a charging strategy that is suitable for the charging vehicle. The charging strategy includes different charging stages and charging parameters in each charging stage. Applying the charging strategy to the charging process can achieve intelligent adaptation of the charging pile and the battery of the charging vehicle.

[0019] S102: Generate charging control instructions according to the charging strategy and issue the charging control instructions to the charging pile connected to the charging vehicle.

[0020] For a specific type of battery, the battery parameter database stores the optimal charging current, charging voltage, and time of the battery in different charging stages and forms a corresponding charging strategy. The system generates charging control instructions according to these charging strategies and issues the control instructions to the charging pile connected to the charging vehicle. By controlling the charging process of the charging pile, the battery is charged adaptively.

[0021] S103: Charge the charging vehicle based on the charging strategy, and in the charging process, real-time collection of battery state data and environmental data corresponding to the charging vehicle is performed, and the initial charging parameters in the charging strategy are adjusted according to the battery state data and the environmental data.

[0022] During the charging process, the battery state changes with the progress of charging, such as an increase in SOC and an increase in temperature. In addition, environmental conditions may also change. Changes in battery state and environmental data may make the initially set charging parameters no longer applicable. For example, continuing to charge with a large current when the battery temperature is too high may cause safety problems; when the SOC is close to full, the charging current needs to be reduced to avoid overcharging. Therefore, in the hardware design of the charging pile, high-precision current sensors and voltage sensors are integrated to monitor the battery state data, i.e., the charging current and the charging voltage, in real time. Environmental sensors, including temperature sensors, humidity sensors, and air pressure sensors, are installed on the shell of the charging pile to collect environmental data such as environmental temperature, humidity, and air pressure in real time. The above collected environmental data and battery state data will be uploaded to the charging pile control system, and the control system will automatically adjust the initial charging parameters of the battery according to the battery state data in combination with the real-time collected environmental data. The initial charging parameters refer to the parameters in the charging strategy.

[0023] In one embodiment, the embodiments of the present application determine the battery internal resistance by comprehensively considering environmental data and battery historical data, calculate the current charging parameters of the battery, and correct them in combination with environmental data, so as to accurately adjust the initial charging parameters in the charging strategy. In this way, it can be ensured that the charging process is more in line with the actual condition of the battery and the current environmental conditions, and the safety, efficiency and battery life of charging are improved.

[0024] Specifically, the historical data of the battery is obtained from the battery management system (BMS) of the vehicle, including past charging and discharging records, internal resistance change trend, etc., and the current environmental temperature, humidity and other environmental data are obtained from the sensor. According to the known relationship model between battery internal resistance and temperature, the influence of the current environmental temperature on the battery internal resistance is analyzed. Generally, the battery internal resistance decreases with the increase of temperature, and vice versa. In combination with the internal resistance base value in the battery historical data and the influence of the environmental data on the internal resistance, the internal resistance temperature coefficient is determined, and then the internal resistance value of the battery under the current environmental conditions is calculated. For example, if the internal resistance of the battery is 0.5Ω at 25℃, and the current environmental temperature is 15℃, the internal resistance increase value is calculated according to the internal resistance temperature coefficient, so that the current internal resistance is 0.55Ω.

[0025] According to the monitored battery state parameters, the current charging parameters of the battery are calculated in combination with the estimated battery internal resistance. Specifically, according to the battery state parameters (i.e. battery voltage and battery current) and the battery internal resistance, the open circuit voltage of the battery is determined, and then the maximum charging current of the current battery is calculated through Ohm's law according to the open circuit voltage, the battery voltage and the battery internal resistance. The smaller value between the maximum charging current and the safe charging current of the battery is taken as the current charging current of the battery, and the current charging voltage of the battery is calculated according to the current charging current and the battery internal resistance. The current charging current and the current charging voltage calculated above are the current charging parameters of the battery.

[0026] The current charging parameters calculated are corrected according to the environmental data, for example, if the environmental temperature is too high, the charging current is reduced by a certain proportion, wherein the correction proportion is determined according to a preset correction rule, and the correction rule is obtained according to historical charging parameter adjustment experience. The corrected current charging parameters are taken as new charging parameters, and the initial charging parameters in the charging strategy are updated. The charging pile will continue to charge the vehicle according to the adjusted charging parameters, and continuously monitor the battery state and environmental data to ensure the safety and efficiency of the charging process.

[0027] S104: Obtain the power grid load information corresponding to the power grid, generate a scheduling instruction according to the power grid load information and the vehicle charging demand, and deliver the scheduling instruction to the charging pile, so as to charge the target charging vehicle connected to the charging pile through the scheduling instruction.

[0028] At the connection end of the charging pile and the power grid, a smart meter and a communication module are installed. The smart meter is used to monitor the voltage, current and power of the power grid in real time, and transmit these data to the control system of the charging pile through the communication module. According to the obtained power grid load information, combined with the use of the charging pile and the charging demand of the vehicle, the control system generates a scheduling instruction by using an intelligent scheduling algorithm, and by issuing the scheduling instruction to the charging pile, the charging scheduling of the charging vehicles connected to each charging pile can be realized.

[0029] In one embodiment, the power grid load information is compared with a preset load. The preset load is set according to the maximum bearing capacity of the power grid to ensure the stable operation of the power grid. If the power grid load information exceeds the preset load, it means that the power grid load is high at this time, and if no scheduling is performed, it may cause the power grid to be overloaded, affecting the stable operation of the power grid and the normal charging of the vehicle. Therefore, the load scheduling amount required for scheduling of the power grid needs to be calculated, which is the total amount of charging power that needs to be reduced, and can be calculated by the difference between the power grid load information and the preset load.

[0030] The scheduling level is determined according to the size of the load scheduling amount, which refers to different scheduling levels divided according to the power grid load, including peak scheduling level, emergency scheduling level and normal scheduling level. The peak scheduling level means that the power grid load is high, and the charging power of the charging pile needs to be adjusted greatly; the emergency scheduling level means that the power grid load has exceeded the safe range, and immediate measures need to be taken; the normal scheduling level means that the power grid load is normal, and only routine adjustment is needed. Based on this, if the load scheduling amount is large, it means that the current power grid exceeds the normal load by a large margin, which is the peak scheduling level; if the load scheduling amount is very large, even exceeding the safety threshold, it is determined as the emergency scheduling level; if the load scheduling amount is small, it is determined as the normal scheduling level.

[0031] The vehicle charging demand and the remaining charging proportion information of the electric vehicle are obtained. The vehicle charging demand refers to the demand for electric energy of the electric vehicle during the charging process, including charging power, charging time and required electric quantity, etc., wherein the vehicle charging demand and the remaining charging proportion are provided by the BMS. According to the above obtained vehicle charging demand and remaining charging proportion, the charging priority can be determined, and then the priority order of vehicle charging is clear. Generally, the vehicle with higher remaining charging proportion and higher charging demand can be given higher charging priority.

[0032] Specifically, under different scheduling levels, the weight coefficients corresponding to the vehicle charging demand and the remaining charging proportion are also different. The higher the scheduling level, the greater the grid load, at which time more attention is paid to the rapid response of charging, and the vehicle charging demand weight is higher, because it is directly related to the urgent demand of the vehicle for power. High weight assignment can allow high demand vehicles to be charged preferentially, quickly relieving the pressure on the grid. Under the peak scheduling level, the grid load is high, because both the urgent demand of the vehicle and its charging state need to be considered, at which time the weight of the vehicle charging demand and the remaining charging proportion is equivalent. Under the normal scheduling level, the grid load is normal, and the vehicle demand can be considered more comprehensively, at which time the weight of the remaining charging proportion is higher, in order to allow the vehicle to be quickly fully charged.

[0033] After the weight coefficients are determined, the corresponding demand priority value is determined according to the vehicle charging demand. For example, the vehicle charging demand can be divided into high, medium and low levels, each level corresponding to a different demand priority value. The higher the vehicle charging demand, the greater the demand priority value. The demand priority value and the remaining charging proportion are weighted and summed according to the weight coefficients to obtain a summation result. According to the summation result, the charging priority of the charging vehicle is determined. The charging priority is positively correlated with the summation result, that is, the higher the remaining charging proportion and the greater the charging demand, the higher the charging priority of the charging vehicle.

[0034] After the charging priority of the charging vehicle is determined, the target charging vehicle for scheduling the grid load is selected from the charging vehicles according to the charging priority and the scheduling level.

[0035] Specifically, the scheduling order corresponding to each vehicle is determined according to the charging priority. In order to meet the charging demand of the charging vehicle, generally, the higher the charging priority, the later the scheduling order, and the vehicle with a lower charging priority is preferentially selected as the target charging vehicle, which can reduce the impact on high-priority vehicles. After the scheduling order is determined, the charging vehicles for scheduling the grid load are selected from the charging vehicles according to the scheduling order, and the supplemental load amount of the charging pile corresponding to the selected charging vehicle is calculated. The supplemental load amount refers to the change in grid load corresponding to the change in charging power of the selected charging vehicle after the charging vehicle is selected from the charging pile for scheduling, which is used to measure the actual reduction effect of the scheduling measure on the grid load. The supplemental load amounts of the selected charging vehicles are added in turn until the supplemental load amount meets the scheduling demand of the scheduling level.

[0036] The scheduling demand corresponding to different scheduling levels is different. When the grid is in an emergency scheduling level, the load needs to be quickly and significantly reduced to ensure the safety of the grid, at which time the charging load of low-priority vehicles is preferentially reduced. When the grid is in a peak scheduling level, the situation is relatively less urgent, and the load can be gradually reduced through reasonable scheduling proportion to balance the charging demand of different priority vehicles.

[0037] Therefore, in the case of the dispatch level being the emergency dispatch level, the grid load has already exceeded the safety range seriously, and it is necessary to quickly take measures to suspend charging to reduce the load to prevent grid failure or equipment damage and ensure the safe operation of the grid. At this time, the charging load of low-priority vehicles is preferentially reduced because the charging demand of these vehicles is relatively less urgent and has relatively less impact on users. Therefore, the charging vehicles for dispatching the grid load are selected from the charging vehicles according to the dispatching order, and the supplemental load amount of the charging pile corresponding to the charging vehicle is calculated, which is the current charging power of the charging vehicle. The supplemental load amounts of all selected charging vehicles are accumulated until the supplemental load amount can meet the required load dispatching amount for the grid to enter the peak dispatch level from the emergency dispatch level, and all selected charging vehicles are taken as target charging vehicles.

[0038] In the case of the dispatch level being the peak dispatch level, the dispatching proportion corresponding to each charging priority is determined, which refers to the proportion of the charging power set to be reduced to the current charging power of the charging vehicle. The lower the charging priority, the higher the dispatching proportion. For example, the dispatching proportion of a vehicle with priority 1 is 20%, the dispatching proportion of a vehicle with priority 2 is 30%, and so on. The charging vehicles of each charging priority are processed in turn according to the dispatching order (from low priority to high priority). In each charging priority, the charging power of each charging vehicle is reduced according to the dispatching proportion of the charging priority. For example, for a vehicle with priority 3, the current charging power is 100 kW, and the dispatching proportion is 40%, so the charging power of the vehicle needs to be reduced by 40 kW, and the supplemental load amount is 40 kW. The supplemental load amounts of different charging priorities are accumulated until the supplemental load amount can meet the required load dispatching amount for the grid to enter the normal dispatch level from the peak dispatch level, at which time all selected vehicles will be target charging vehicles.

[0039] After the target vehicles are selected, a dispatching instruction is generated according to the grid load information and the charging demand of the target charging vehicles, which includes specific measures such as charging power adjustment, charging time adjustment, and whether to suspend charging. The dispatching instruction is sent to the charging pile, and the charging pile performs charging dispatching on the target charging vehicles according to the dispatching instruction.

[0040] By determining whether the grid load information exceeds the preset load and determining the charging priority according to the vehicle charging demand and the remaining charging proportion, the target charging vehicles connected to the charging pile can be reasonably dispatched for charging, ensuring the stable operation of the grid and the satisfaction of the charging demand of the vehicles. In this way, the overloading of the grid can be avoided, and the reliability of the grid and the efficiency of vehicle charging can be improved.

[0041] In one embodiment, during the grid load overload, the charging process of the target charging vehicle is interrupted or adjusted, and when the grid returns to the normal power supply state, the scheduled target charging vehicle needs to be gradually powered on. Since the scheduling strategy and the scheduling duration of different target charging vehicles are different, the compensation power supply priority needs to be determined according to the contribution (i.e., the scheduling duration and the scheduling times) of the target charging vehicle during the scheduling, to ensure that those vehicles with greater contribution can have priority to restore power supply.

[0042] Specifically, within a preset period, the scheduling duration and the scheduling times of each target charging vehicle corresponding to the charging pile are recorded. For example, the charging pile of vehicle A is scheduled for 5 times, with a total duration of 30 minutes; the charging pile of vehicle B is scheduled for 3 times, with a total duration of 20 minutes. The scheduling record information is generated according to the scheduling duration and the scheduling times, and the compensation power supply priority of each target charging vehicle is determined according to the scheduling record information. Generally, the scheduling duration and the scheduling times can be weighted and summed to obtain a comprehensive value, and then the comprehensive value is sorted according to the comprehensive value. The higher the comprehensive value is, the higher the compensation power supply priority is.

[0043] It should be noted that when determining the compensation power supply priority, the scheduling duration is used to evaluate the scheduling contribution of the target charging vehicle, and the contribution of the vehicle directly suspended charging is greater than that of the vehicle with reduced charging power. However, the scheduling strategy mentions that in the case of the grid being in the emergency scheduling level, the charging of the target charging vehicle is suspended, and when the grid load enters the peak scheduling level, the charging power of the target charging vehicle is reduced to weaken the grid load. Under this scheduling strategy, the scheduling duration of the target charging vehicle directly suspended charging is obviously greater than that of the target charging vehicle adopting the strategy of reducing the charging power, and therefore, for the scheduling strategy, the compensation power supply priority is directly reflected by the scheduling duration.

[0044] When the grid load information does not exceed the preset load, the target charging vehicle is sequentially powered on in the order of the compensation power supply priority. The target charging vehicle with the highest compensation power supply priority is powered on first, and the same applies to the other target charging vehicles, until all target charging vehicles are powered on or the grid load approaches the upper limit of the preset load.

[0045] The above is a method embodiment of the present application. Based on the same idea, some embodiments of the present application also provide a device and a non-volatile computer storage medium corresponding to the above method.

[0046] Figure 2 A structure diagram of a charging regulation device for a charging pile is provided for the embodiments of the present application. As shown in Figure 2 , it includes: at least one processor; and The at least one processor is communicatively connected to a memory; wherein The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the charging regulation method for the charging pile according to any one of the above.

[0047] The embodiment of the present application provides a non-volatile computer storage medium, which stores computer executable instructions, and the computer executable instructions are configured to: The charging regulation method for the charging pile according to any one of the above.

[0048] The embodiments in the present application are described in a progressive manner, and the same and similar parts of each embodiment can be referred to each other. Each embodiment mainly describes the difference from other embodiments. Especially, the device and medium embodiments are basically similar to the method embodiments, so the description is relatively simple, and the related parts can be referred to the part of the method embodiment.

[0049] The device and medium provided by the embodiment of the present application are one-to-one corresponding to the method, so the device and medium also have the similar beneficial technical effects as the method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the device and medium will not be described here.

[0050] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

[0051] The present application is described with reference to the flowcharts and / or block diagrams according to the method, device (system), and computer program product of the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The device that implements the functions specified in one flow or multiple flows and / or blocks Figure 1 The device that implements the functions specified in one flow or multiple flows and / or blocks

[0052] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0053] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0054] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0055] The memory can include non-persistent memory and / or volatile memory, such as a random access memory (RAM) including a cache area for the temporary storage of data. The memory can also include non-volatile memory, such as a read only memory (ROM), EPROM, EEPROM, or flash memory. The memory can be another form of computer-readable media.

[0056] Computer-readable media includes permanent and non-permanent, removable and non-removable media, which can be implemented by any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital versatile disc (DVD), or other optical storage, magnetic cassette, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer readable media does not include transitory media, such as modulated data signals and carrier waves.

[0057] It should also be noted that the terms "comprising," "including," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises a... " does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0058] The above description is merely illustrative of the application, and not restrictive. Various modifications and changes can become apparent to those skilled in the art. Incorporating any modification, equivalent substitution, improvement, etc. within the spirit and principle of the application, shall be included in the scope of the claims of the application.

Claims

1. A charging regulation method for a charging pile, characterized in that, The method comprises: acquiring battery characteristic parameters of a charging vehicle, and acquiring a charging strategy suitable for the charging vehicle from a preset battery parameter database according to the battery characteristic parameters; generating a charging control instruction according to the charging strategy and issuing the charging control instruction to a charging pile connected to the charging vehicle; charging the charging vehicle based on the charging strategy, collecting battery state data and environmental data corresponding to the charging vehicle in real time during the charging process, and adjusting initial charging parameters in the charging strategy according to the battery state data and the environmental data; acquiring grid load information corresponding to a power grid, generating a scheduling instruction according to the grid load information and vehicle charging demand, and issuing the scheduling instruction to the charging pile, so as to schedule a target charging vehicle connected to the charging pile through the scheduling instruction.

2. The charging regulation method for a charging pile according to claim 1, characterized in that, According to the grid load information and the vehicle charging demand, a scheduling instruction is generated and issued to the charging pile, so that the target charging vehicle connected to the charging pile is scheduled for charging through the scheduling instruction, specifically comprising: determining whether the grid load information exceeds a preset load; if yes, determining a load scheduling amount and a scheduling level required for scheduling of the power grid; wherein the scheduling level includes a peak scheduling level, an emergency scheduling level and a normal scheduling level; determining a charging priority of the charging vehicle according to the vehicle charging demand and a remaining charging proportion of the charging vehicle; selecting a target charging vehicle for scheduling of the grid load from the charging vehicles in turn according to the charging priority and the scheduling level; generating a scheduling instruction for the target charging vehicle to schedule the target charging vehicle for charging through the scheduling instruction.

3. The charging regulation method for a charging pile according to claim 2, characterized in that, According to the vehicle charging demand and the remaining charging proportion of the charging vehicle, the charging priority of the charging vehicle is determined, specifically comprising: determining weight coefficients corresponding to the vehicle charging demand and the remaining charging proportion based on the scheduling level; determining a demand priority value corresponding to the vehicle charging demand, and performing weighted summation on the demand priority value and the remaining charging proportion according to the weight coefficients to obtain a summation result; determining the charging priority of the charging vehicle according to the summation result; wherein the charging priority and the summation result are in a positive correlation.

4. The charging regulation method for a charging pile according to claim 2, characterized in that, According to the charging priority and the scheduling level, a target charging vehicle for scheduling of the grid load is selected from the charging vehicles in turn, specifically comprising: determining a scheduling order corresponding to each vehicle according to the charging priority; selecting a charging vehicle for scheduling of the grid load from the charging vehicles in the scheduling order, and calculating a supplemental load amount of a charging pile corresponding to the charging vehicle until the supplemental load amount meets the scheduling demand of the scheduling level.

5. The method of claim 4, wherein the method further comprises: selecting a charging vehicle for scheduling of the grid load from the charging vehicles in the scheduling order, and calculating a supplemental load amount of a charging pile corresponding to the charging vehicle until the supplemental load amount meets the scheduling demand of the scheduling level, specifically comprising: In a case where the scheduling level is an emergency scheduling level, a charging vehicle for scheduling a power grid load is selected from the charging vehicles according to the scheduling sequence, and a supplementary load amount of a charging pile corresponding to the charging vehicle is calculated until the supplementary load amount can make the power grid enter the peak scheduling level from the emergency scheduling level, and a target charging vehicle is determined; In a case where the scheduling level is a peak scheduling level, a scheduling proportion corresponding to each charging priority is determined, and a target charging vehicle for scheduling a power grid load is selected from the charging vehicles according to the scheduling sequence; According to the scheduling proportion, a supplementary load amount of a charging pile corresponding to the charging vehicle is calculated until the supplementary load amount can make the power grid enter the normal scheduling level from the peak scheduling level, and a target charging vehicle is determined.

6. The method of claim 1, wherein, After the target charging vehicle connected to the charging pile is scheduled for charging according to the scheduling instruction, the method further comprises: determining a scheduling duration and a scheduling frequency of the charging pile corresponding to the target charging vehicle within a preset time period; generating scheduling record information corresponding to the charging pile according to the scheduling duration and the scheduling frequency; in a case where the power grid load information does not exceed a preset load, determining a compensation power supply priority corresponding to the target charging vehicle according to the scheduling record information, and restoring normal power supply to the target charging vehicle according to the compensation power supply priority.

7. The method of claim 1, wherein the method further comprises: According to the battery state data and the environmental data, the initial charging parameter in the charging strategy is adjusted, specifically including: determining the internal resistance of the battery according to the environmental data and the battery historical data; calculating the current charging parameter of the battery according to the battery state parameter and the internal resistance of the battery; correcting the current charging parameter according to the environmental data, and adjusting the initial charging parameter in the charging strategy by the corrected current charging parameter.

8. The charging regulation method for a charging pile according to claim 7, characterized in that, According to the battery state parameter and the internal resistance of the battery, the current charging parameter of the battery is calculated, specifically including: determining the open circuit voltage and the maximum charging current of the battery according to the battery state parameter and the internal resistance of the battery; taking the smaller one of the maximum charging current and the safe charging current of the battery as the current charging current of the battery, and calculating the current charging voltage of the battery according to the current charging current; taking the current charging current and the current charging voltage as the current charging parameter of the battery.

9. A charging regulation device for a charging pile, characterized in that, The device comprises: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the charging regulation method for a charging pile according to any one of claims 1-8.

10. A non-transitory computer storage medium storing computer-executable instructions that, when executed, cause a computer to perform: The computer executable instructions are configured to: perform the charging regulation method for a charging pile according to any one of claims 1-8.

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