Intelligent charging control method and system

Abstract

The present invention discloses an intelligent charging control method and system, which determines the pre-charging demand by collecting vehicle information, battery information and historical charging information of electric vehicles, and determines the valley price period according to the short-term predicted load and peak-valley electricity price of the power grid in the region, and then determines the charging guidance information to guide the electric vehicles to be charged to charge in an orderly manner. The proposed orderly charging control method and strategy are expected to solve the problem that there is a lack of information interaction between existing electric vehicles and power grid charging control centers, which is prone to grid load fluctuations due to random charging, and increases grid energy loss. It is helpful to achieve peak-shaving and valley-filling of electric vehicle charging stations connected to the distribution network, thereby reducing the cost of charging and improving the overall economic benefits. At the same time, orderly control of reducing the power of the charging pile or operation of increasing the power of the charging pile is carried out according to the situation to prevent excessive charging during peak power consumption periods, support delayed charging, and ensure stable charging.

Description

Technical field:

[0001] The present invention relates to the field of charging control technology, and in particular to an intelligent charging control method and system. Background technology:

[0002] Under the pressure of energy and environment, the utilization of renewable clean energy has become a definite trend in the development of future power grids. Due to the characteristics of strong volatility and poor controllability, the access of large-scale renewable energy generation has had a direct impact on the safety and stability of the power grid. At the same time, due to the rapid growth of load, the demand for upgrading and transformation of power transmission and distribution has also put pressure on the operation of the power grid. Under the goal of developing a clean, economical and efficient power grid, the utilization of user-side resources has become one of the important goals and application areas of smart distribution network construction. Demand response technology takes the load and power supply on the user side as the control object, changes the user's electricity consumption mode, enables users to participate in the operation of the power grid, and achieves a balance between power generation and consumption.

[0003] With the widespread popularity of electric vehicles and the gradual improvement of charging facilities, more and more families will charge new energy vehicles in residential parking lots. The charging of a large number of electric vehicles will increase the load on the power grid. The existing electric vehicles lack information exchange with the power grid charging control center, which is prone to grid load fluctuations due to random charging, increasing the energy loss of the power grid. Summary of the invention:

[0004] The purpose of the present invention is to provide an intelligent charging control method and system to solve the problem that there is a lack of information interaction between existing electric vehicles and a power grid charging control center, which may cause power grid load fluctuations due to random charging and increase power grid energy loss.

[0005] The present invention is implemented by the following technical solution: an intelligent charging control method, comprising:

[0006] Obtain the number of electric vehicles in the area, and calculate the daily charging demand ED of electric vehicles in the area based on the number of electric vehicles;

[0007] Obtain the short-term forecast load and peak-valley electricity price of the regional power grid, and determine the valley price period based on the daily charging demand ED, short-term forecast load, and peak-valley electricity price;

[0008] The vehicle information, battery information and historical charging information of the electric vehicle are collected through the charging piles in the area, and the pre-charging requirements of the electric vehicle are determined based on this information;

[0009] Through the navigation system and communication network, the electric vehicle can communicate with the cloud charging control center and charging stations in real time during driving, obtain the real-time number of electric vehicles and the geographical location of charging stations in the area, and estimate the dynamic charging demand in the area;

[0010] According to the load of the regional power grid and the dynamic charging demand, the currently available charging power is obtained, the orderly charging strategy is determined, and the charging power of the charging stations and charging piles in the region is controlled; the box transformer power is collected in real time, and the orderly charging control of the box transformer is performed by multiplying the box transformer real-time power and the box transformer power threshold set by the user and the rated capacity;

[0011] Based on the obtained valley price period and the determined pre-charging demand, combined with the geographical location of the charging stations in the region and the currently available charging power, the guiding charging decision results for electric vehicles are determined.

[0012] Furthermore, the real-time collection of the box transformer power is performed, and the orderly charging control of the box transformer is performed by multiplying the box transformer real-time power and the box transformer power threshold set by the user and the rated capacity, specifically:

[0013] When the real-time power of the box transformer is higher than the set box transformer power threshold, orderly control is performed to reduce the power of the charging pile, and the orderly control strategy status flag of this box transformer is changed to orderly control; if the box transformer does not need to perform orderly charging control, the orderly charging control strategy status flag of the box transformer is changed to not performing orderly charging control;

[0014] When the real-time power of the box transformer is higher than the product of the box transformer threshold set by the user and the rated capacity, the charging pile power is increased.

[0015] Furthermore, the number of electric vehicles in the area is obtained, and the daily charging demand of the electric vehicles in the area is calculated according to the number of electric vehicles, specifically:

[0016] Number of electric vehicles in the region N EV for:

[0017] N EV =W×ρ% (1)

[0018] Where W is the total number of physical vehicles in the region; ρ% is the electric vehicle penetration rate, that is, the proportion of electric vehicles to the total number of vehicles;

[0019] The daily charging demand ED of electric vehicles in the area can be calculated as:

[0020] ED=E 0 ×S×N EV (2)

[0021] Among them, E 0 is the average power consumption of electric vehicles per 100 kilometers; S is the average daily mileage of electric vehicles.

[0022] Furthermore, the vehicle information, battery information and historical charging information of the electric vehicle are collected through the charging piles in the area, and the pre-charging demand of the electric vehicle is determined based on this, specifically: using the electric vehicle vehicle information and historical charging data to establish an autoregressive differential moving average model ARIMA (p, d, q) for time series analysis, and determine the parameters p, d, q in the ARIMA (p, d, q) model; then determine the remaining mileage of the electric vehicle based on the on-board battery model, battery state of charge, battery voltage and battery current of the electric vehicle, and predict the next charging time and charging location of the electric vehicle based on the remaining mileage and historical charging information.

[0023] Furthermore, the guiding charging decision result is specifically:

[0024] When the charging power exceeds the power that the distribution transformer can provide, the orderly charging control device will cut the load or reduce the charging power, and the electric vehicles to be charged will queue up in order.

[0025] Obtain the number of electric vehicles in the parking lot, and determine whether the charging piles in the parking lot meet the charging needs of the electric vehicles to be charged based on the charging power of the charging piles. If not, push other communities or parking lots to the electric vehicles to be charged.

[0026] Furthermore, the orderly control of reducing the power of the charging pile includes calculating the power values ​​that need to be reduced for the box transformer and the charging pile, specifically:

[0027] The power reduction required for the box transformer = box transformer real-time power - box transformer rated capacity * 1000 * ((user-set threshold - 2) / 100), query the list of charging piles that are charging under this box transformer, calculate the real-time power sum of all charging piles in the list, poll the charging pile list, and calculate the power value that needs to be reduced for each charging pile based on the proportion of the real-time power of a single charging pile in the real-time power sum of the charging piles in the list. The power reduction required for the charging pile = real-time power of the charging pile / total power sum of the charging piles in the list * power reduction required for the box transformer.

[0028] Furthermore, when the existing power of the charging pile minus the power that the charging pile needs to reduce is greater than 1300w, the charging power command of the charging pile is issued, and the issued power value = the real-time power of the charging pile - the power that the charging pile needs to reduce. After the command is issued, the issuance record is stored in the power adjustment list.

[0029] Furthermore, when the real-time power of the box transformer is higher than the product of the box transformer threshold and the rated capacity set by the user, the charging pile power is increased. Specifically, the charging pile power adjustment list stored when the power is reduced is queried from the box transformer, and the corresponding charging pile real-time data is queried from the list. When the charging pile is started or charging and the order number of the charging pile is still the original order number, the power is increased, wherein:

[0030] Charging pile boost power = (actual charging pile power / total charging pile power in the charging pile power adjustment list) * (box transformer rated capacity * 1000 * (user set threshold / 100) - box transformer actual power);

[0031] Then calculate the power value that the charging pile needs to send. The power sent by the charging pile = the real-time power of the charging pile + the power to be increased. If the power sent by the charging pile exceeds the rated power of the charging pile, the power sent by the charging pile = the rated power of the charging pile, and send the charging pile power adjustment command;

[0032] The charging pile power is increased successfully or the charging pile that has not been modified successfully after the power modification command is sent three times is deleted from the charging pile power adjustment list.

[0033] Furthermore, when the box transformer is in orderly charging control, the charging pile is controlled to be unable to start charging immediately, and the charging pile is added to the delayed start charging list for record. When the real-time power of the box transformer decreases later, the charging pile is automatically started and charged.

[0034] The present invention also provides an intelligent charging control system, comprising a data acquisition layer, a device layer and a device supervision and control layer, wherein the data acquisition layer and the device layer are connected, and the device layer and the device supervision and control layer are in communication connection, wherein:

[0035] The data collection layer includes one or more electric meters and one or more box transformers, and the electric meters and box transformers are connected correspondingly to monitor the real-time electric meter power when the equipment layer uses electricity;

[0036] Equipment layer, including but not limited to charging stations or charging piles;

[0037] The equipment supervision and control layer is divided into a smart energy system and a charging operation management platform; the smart energy system is used to collect meter data, obtain real-time meter information, and monitor the electricity consumption of the entire community; the charging operation management platform is an Internet-based charging monitoring and operation management platform that provides geographic information and location services for charging stations / piles, charging equipment management and monitoring, data collection and fault location, operation statistics and data analysis, and multi-dimensional revenue data and reports.

[0038] Advantages of the present invention:

[0039] The present invention determines the pre-charging demand by collecting the vehicle information, battery information and historical charging information of the electric vehicle, and determines the valley price period according to the short-term predicted load and peak-valley electricity price of the power grid in the region, and then determines the charging guidance information to guide the electric vehicle to be charged to charge in an orderly manner. The proposed orderly charging control method and strategy are expected to solve the problem of lack of information interaction between existing electric vehicles and power grid charging control centers, which is prone to grid load fluctuations due to random charging and increases grid energy loss. It is helpful to achieve peak-shaving and valley-filling of electric vehicle charging stations connected to the distribution network, thereby reducing the cost of charging and improving the overall economic benefits. At the same time, the orderly control of reducing the power of the charging pile or the operation of increasing the power of the charging pile can be carried out according to the situation to prevent excessive charging during peak power consumption periods, support delayed charging, and ensure smooth charging. Description of the drawings:

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 This is a principle block diagram of an intelligent charging control system according to an embodiment of the present invention;

[0042] Figure 2 A schematic diagram of the overall functional structure of an intelligent charging control system according to an embodiment of the present invention;

[0043] Figure 3 A schematic diagram of an energy management system of an intelligent charging control system according to an embodiment of the present invention collecting data from an electric meter for storage control;

[0044] Figure 4 The present invention is a schematic diagram of an energy management system of an intelligent charging control system collecting data from multiple electricity meters for storage control. Specific implementation method:

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Example 1

[0047] From the perspective of vehicle-grid coordination, we should avoid the peak period of the conventional load of the power grid, reasonably disperse the charging load of electric vehicles, reduce the impact on the power grid, and reasonably plan the charging capacity. This inevitably requires effective regulation of electric vehicle charging, that is, on the basis of meeting the daily power consumption demand of electric vehicles, use practical and effective economic or technical means to guide electric vehicles to charge in an orderly manner. After the implementation of time-of-use electricity prices, peak-valley electricity price policies can be used to guide charging stations to charge at night and other times that meet the valley period, so as to achieve orderly charging control. The present invention is implemented by the following technical solutions: an intelligent charging control method, comprising:

[0048] Obtain the number of electric vehicles in the area, and calculate the daily charging demand ED of electric vehicles in the area based on the number of electric vehicles;

[0049] Obtain the short-term forecast load and peak-valley electricity price of the regional power grid, and determine the valley price period based on the daily charging demand ED, short-term forecast load, and peak-valley electricity price;

[0050] The vehicle information, battery information and historical charging information of the electric vehicle are collected through the charging piles in the area, and the pre-charging requirements of the electric vehicle are determined based on this information;

[0051] Through the navigation system and communication network, the electric vehicle can communicate with the cloud charging control center and charging stations in real time during driving, obtain the real-time number of electric vehicles and the geographical location of charging stations in the area, and estimate the dynamic charging demand in the area;

[0052] According to the load and dynamic charging demand of the regional power grid, the currently available charging power is obtained, the orderly charging strategy is determined, and the charging power of the charging stations and charging piles in the region is controlled; the box-type transformer power is collected in real time, and the orderly charging control of the box-type transformer is performed by multiplying the box-type transformer real-time power and the box-type transformer power threshold set by the user and the rated capacity;

[0053] Based on the obtained valley price period and the determined pre-charging demand, combined with the geographical location of the charging stations in the region and the currently available charging power, the guiding charging decision results for electric vehicles are determined.

[0054] In this embodiment, the box transformer power is collected in real time, and orderly charging control of the box transformer is performed by multiplying the box transformer real-time power and the box transformer power threshold set by the user and the rated capacity, specifically:

[0055] When the real-time power of the box transformer is higher than the set box transformer power threshold, orderly control is performed to reduce the power of the charging pile, and the orderly control strategy status flag of this box transformer is changed to orderly control; if the box transformer does not need to perform orderly charging control, the orderly charging control strategy status flag of the box transformer is changed to not performing orderly charging control;

[0056] When the real-time power of the box transformer is higher than the product of the box transformer threshold set by the user and the rated capacity, the charging pile power is increased.

[0057] In this embodiment, the number of electric vehicles in the area is obtained, and the daily charging demand of the electric vehicles in the area is calculated according to the number of electric vehicles, specifically:

[0058] Number of electric vehicles in the region N EV for:

[0059] N EV =W×ρ% (1)

[0060] Where W is the total number of physical vehicles in the region; ρ% is the electric vehicle penetration rate, that is, the proportion of electric vehicles to the total number of vehicles;

[0061] The daily charging demand ED of electric vehicles in the area can be calculated as:

[0062] ED=E 0 ×S×N EV (2)

[0063] Among them, E 0 is the average power consumption of electric vehicles per 100 kilometers; S is the average daily mileage of electric vehicles.

[0064] In this embodiment, the vehicle information, battery information and historical charging information of the electric vehicle are collected through the charging piles in the area, and the pre-charging demand of the electric vehicle is determined based on this. Specifically, the autoregressive difference moving average model ARIMA (p, d, q) of time series analysis is established using the electric vehicle vehicle information and historical charging data, and the parameters p, d, q in the ARIMA (p, d, q) model are determined; the remaining mileage of the electric vehicle is determined based on the on-board battery model, battery state of charge, battery voltage and battery current of the electric vehicle, and the next charging time and charging location of the electric vehicle are predicted based on the remaining mileage and historical charging information.

[0065] In this embodiment, the guiding charging decision result is specifically:

[0066] When the charging power exceeds the power that the distribution transformer can provide, the orderly charging control device will cut the load or reduce the charging power, and the electric vehicles to be charged will queue up in order.

[0067] Obtain the number of electric vehicles in the parking lot, and determine whether the charging piles in the parking lot meet the charging needs of the electric vehicles to be charged based on the charging power of the charging piles. If not, push other communities or parking lots to the electric vehicles to be charged.

[0068] In this embodiment, orderly control is performed to reduce the power of the charging pile, including calculating the power values ​​that need to be reduced for the box transformer and the charging pile, specifically:

[0069] The power reduction required for the box transformer = box transformer real-time power - box transformer rated capacity * 1000 * ((user-set threshold - 2) / 100), query the list of charging piles that are charging under this box transformer, calculate the real-time power sum of all charging piles in the list, poll the charging pile list, and calculate the power value that needs to be reduced for each charging pile based on the proportion of the real-time power of a single charging pile in the real-time power sum of the charging piles in the list. The power reduction required for the charging pile = real-time power of the charging pile / total power sum of the charging piles in the list * power reduction required for the box transformer.

[0070] In this embodiment, when the existing power of the charging pile minus the power that the charging pile needs to reduce is greater than 1300w, the charging power command of the charging pile is issued, and the issued power value = the real-time power of the charging pile - the power that the charging pile needs to reduce. After the command is issued, the issuance record is stored in the power adjustment list.

[0071] In this embodiment, when the real-time power of the box transformer is higher than the product of the box transformer threshold and the rated capacity set by the user, the charging pile power is increased. Specifically, the charging pile power adjustment list stored when the power is reduced is queried from the box transformer, and the corresponding charging pile real-time data is queried from the polling list. When the charging pile is in the process of starting or charging and the order number of the charging pile is still the original order number, the power is increased, wherein:

[0072] Charging pile boost power = (actual charging pile power / total charging pile power in the charging pile power adjustment list) * (box transformer rated capacity * 1000 * (user set threshold / 100) - box transformer actual power);

[0073] Then calculate the power value that the charging pile needs to send. The power sent by the charging pile = the real-time power of the charging pile + the power to be increased. If the power sent by the charging pile exceeds the rated power of the charging pile, the power sent by the charging pile = the rated power of the charging pile, and send the charging pile power adjustment command;

[0074] The charging pile power is increased successfully or the charging pile that has not been modified successfully after the power modification command is sent three times is deleted from the charging pile power adjustment list.

[0075] In this embodiment, when the box transformer is in orderly charging control, the charging pile is controlled to be unable to start charging immediately, and the charging pile is added to the delayed start charging list for record. When the real-time power of the box transformer decreases later, the charging pile is automatically started and charged.

[0076] It can be seen that the electric vehicle group management and control orderly charging control method and strategy proposed in the present invention utilizes the ARIMA (p, d, q) model of time series analysis to determine the pre-charging demand by collecting the vehicle information, battery information and historical charging information of the electric vehicle, and determines the valley price period according to the short-term predicted load and peak-valley electricity price of the regional power grid, and then determines the charging decision result to guide the electric vehicles to be charged to charge in an orderly manner. It solves the problem that there is a lack of information interaction between existing electric vehicles and the power grid charging control center, which is prone to grid load fluctuations due to random charging and increases the energy loss of the grid, and enables the regional power grid to eliminate peaks and fill valleys, reduce the cost of charging, and improve economic benefits. At the same time, the orderly control of reducing the power of the charging pile or the operation of increasing the power of the charging pile can be carried out according to the situation to prevent excessive charging during peak power consumption periods, support delayed charging, and ensure smooth charging.

[0077] Example 2

[0078] like Figure 1 As shown, an intelligent charging control system includes a data acquisition layer, a device layer and a device supervision and control layer. The data acquisition layer and the device layer are connected, and the device layer and the device supervision and control layer are in communication connection. The overall functional structure of the system is shown in FIG. Figure 2 As shown in the figure, the box transformer and the electric meter measure the overall power consumption. The energy management system collects the electric meter data and adjusts it when the power reaches the threshold. The charging operation platform monitors the charging usage of the charging station. Among them:

[0079] The data collection layer includes one or more electric meters and one or more box-type transformers. The electric meters and box-type transformers are connected accordingly to monitor the real-time electric meter power when the equipment layer uses electricity.

[0080] Equipment layer, including but not limited to charging stations or charging piles;

[0081] The equipment supervision and control layer is divided into a smart energy system and a charging operation management platform; the smart energy system is used to collect meter data, obtain real-time meter information, and monitor the electricity consumption of the entire community; the charging operation management platform is an Internet-based charging monitoring and operation management platform that provides geographic information and location services for charging stations / piles, charging equipment management and monitoring, data collection and fault location, operation statistics and data analysis, and multi-dimensional revenue data and reports.

[0082] In this embodiment, the charging operation management platform includes a database server, a Web / App background server, and a user login server.

[0083] In this embodiment, the device layer and the device supervision and control layer are connected through a switch and a mobile communication network.

[0084] In this embodiment, the smart energy system collects meter data through the 645 multi-function meter communication protocol and converts and stores the collected data.

[0085] In this embodiment, the smart energy system is connected with one or more 645 multi-function meters. Figure 3 As shown in Figure 1, under normal circumstances, electricity is provided by a box transformer, that is, the energy management system collects data from an electric meter for storage and control. Figure 4 As shown, according to the actual situation of the user, the energy management system also supports the connection of multiple box-type transformers and meters to synchronously control the charging status of the entire community.

[0086] The system will monitor the power consumption of the charging station in real time through the electric meter. When the overall power consumption of the charging station is too high, the charging system will control the charging piles to reduce the charging power. When the power consumption is normal, the charging system will automatically control the charging piles that have reduced power to restore the normal charging power. The control method is as follows:

[0087] 1. Power reduction

[0088] Users can create an orderly charging strategy on the charging operation platform, set the capacity and threshold. When the charging power reaches the threshold, the charging system detects the data of the charging piles currently being charged, calculates the power that needs to be reduced for each charging pile through the control algorithm, and evenly distributes the charging power of each pile.

[0089] 2. Increased power

[0090] When the energy system detects that the overall charging load has been reduced, it will use the charging control system to find the charging piles that are still charging and have their power reduced, and increase the charging power in sequence.

[0091] In addition, when the load is too large, users can customize the time period for each charging pile according to the actual situation to prevent excessive charging during peak power consumption periods and avoid peaks on peaks. The implementation method is: after the user swipes the card, the charging platform determines whether charging is possible in the current time period. If it is possible, charging is started immediately. If it is not within the allowed time period, the platform calculates the time interval between the allowed charging time period and the current time period, and sends the information to the pile; the pile screen displays a waiting charging prompt, and when the allowed charging start time arrives, the platform automatically controls to start charging.

[0092] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent charging control method, characterized in that: include: Obtain the number of electric vehicles in the area, and calculate the daily charging demand ED of electric vehicles in the area based on the number of electric vehicles; Obtain the short-term forecast load and peak-valley electricity price of the regional power grid, and formulate the valley price period according to the daily charging demand ED, short-term forecast load and peak-valley electricity price; The vehicle information, battery information and historical charging information of the electric vehicle are collected through the charging piles in the area, and the pre-charging requirements of the electric vehicle are determined based on this information; Through the navigation system and communication network, the electric vehicle can communicate with the cloud charging control center and charging stations in real time during driving, obtain the real-time number of electric vehicles and the geographical location of charging stations in the area, and estimate the dynamic charging demand in the area; According to the load of the regional power grid and the dynamic charging demand, the currently available charging power is obtained, the orderly charging strategy is determined, and the charging power of the charging stations and charging piles in the region is controlled; the box transformer power is collected in real time, and the orderly charging control of the box transformer is performed by multiplying the box transformer real-time power and the box transformer power threshold set by the user and the rated capacity; According to the obtained valley price period and the determined pre-charging demand, combined with the geographical location of the charging stations in the region and the currently available charging power, the guiding charging decision result of the electric vehicle is determined; The real-time collection of the box transformer power is performed by multiplying the box transformer real-time power and the box transformer power threshold set by the user and the rated capacity to perform orderly charging control of the box transformer, specifically: When the real-time power of the box transformer is higher than the set box transformer power threshold, orderly control is performed to reduce the power of the charging pile, and the orderly control strategy status flag of this box transformer is changed to orderly control; if the box transformer does not need to perform orderly charging control, the orderly charging control strategy status flag of the box transformer is changed to not performing orderly charging control; When the real-time power of the box transformer is higher than the product of the box transformer threshold and the rated capacity set by the user, the charging pile power is increased; The orderly control of reducing the power of the charging pile includes calculating the power values ​​that need to be reduced for the box transformer and the charging pile, specifically: The power reduction required for the box transformer = box transformer real-time power - box transformer rated capacity * 1000 * ((user-set threshold - 2) / 100), query the list of charging piles that are charging under this box transformer, calculate the real-time power sum of all charging piles in the list, poll the charging pile list, and calculate the power value that needs to be reduced for each charging pile based on the proportion of the real-time power of a single charging pile in the real-time power sum of the charging piles in the list. The power reduction required for the charging pile = the real-time power of the charging pile / the total power sum of the charging piles in the list * the power reduction required for the box transformer; When the real-time power of the box transformer is higher than the product of the box transformer threshold and the rated capacity set by the user, the charging pile power is increased. Specifically, the charging pile power adjustment list stored when the power is reduced is queried according to the box transformer, and the corresponding charging pile real-time data is queried in the polling list. When the charging pile is in the process of starting or charging and the order number of the charging pile is still the original order number, the power is increased, wherein: Charging pile boost power = (actual charging pile power / total charging pile power in the charging pile power adjustment list) * (box transformer rated capacity * 1000 * (user set threshold / 100) - box transformer actual power); Then calculate the power value that the charging pile needs to send. The power sent by the charging pile = the real-time power of the charging pile + the power to be increased. If the power sent by the charging pile exceeds the rated power of the charging pile, the power sent by the charging pile = the rated power of the charging pile, and send the charging pile power adjustment command; The charging pile power is increased successfully or the charging pile that has not been modified successfully after the power modification command is sent three times is deleted from the charging pile power adjustment list.

2. The intelligent charging control method according to claim 1, characterized in that: The number of electric vehicles in the area is obtained, and the daily charging demand of the electric vehicles in the area is calculated according to the number of electric vehicles, specifically: Number of electric vehicles in the region for: in, is the total number of physical vehicles in the area; is the penetration rate of electric vehicles, i.e. the proportion of electric vehicles to the total number of vehicles; The daily charging demand of electric vehicles in the area can be calculated ED for: in, is the average power consumption of electric vehicles per 100 kilometers; is the average daily mileage of electric vehicles.

3. The intelligent charging control method according to claim 1, characterized in that: The vehicle information, battery information and historical charging information of the electric vehicle are collected through the charging piles in the area, and the pre-charging demand of the electric vehicle is determined based on this information. Specifically, the autoregressive difference moving average model of time series analysis is established by using the vehicle information and historical charging data of the electric vehicle. , and determine Parameters in the model , , ; Then determine the remaining mileage of the electric vehicle based on the on-board battery model, battery charge state, battery voltage and battery current of the electric vehicle, and predict the next charging time and charging location of the electric vehicle based on the remaining mileage and historical charging information.

4. The intelligent charging control method according to claim 1, characterized in that: The guiding charging decision result is specifically: When the charging power exceeds the power that the distribution transformer can provide, the orderly charging control device will cut the load or reduce the charging power, and the electric vehicles to be charged will queue up in order. Obtain the number of electric vehicles in the parking lot, and determine whether the charging piles in the parking lot meet the charging needs of the electric vehicles to be charged based on the charging power of the charging piles. If not, push other communities or parking lots to the electric vehicles to be charged.

5. The intelligent charging control method according to claim 2, characterized in that: When the existing power of the charging pile minus the power that needs to be reduced by the charging pile is greater than 1300w, the charging power command of the charging pile is issued, and the issued power value = the real-time power of the charging pile - the power that the charging pile needs to reduce. After the command is issued, the issuance record is stored in the power adjustment list.

6. The intelligent charging control method according to claim 2, characterized in that: When the box transformer is in orderly charging control, the charging pile is controlled to be unable to start charging immediately, and the charging pile is added to the delayed start charging list for record. When the real-time power of the box transformer decreases later, the charging pile is automatically started and charged.

7. An intelligent charging control system, characterized in that: The control system applies the intelligent charging control method according to claim 1, comprising a data acquisition layer, a device layer and a device supervision and control layer, wherein the data acquisition layer and the device layer are connected, and the device layer and the device supervision and control layer are in communication connection, wherein: The data collection layer includes one or more electric meters and one or more box transformers, and the electric meters and box transformers are connected correspondingly to monitor the real-time electric meter power when the equipment layer uses electricity; Equipment layer, including charging stations or charging piles; The equipment supervision and control layer is divided into a smart energy system and a charging operation management platform; the smart energy system is used to collect meter data, obtain real-time meter information, and monitor the electricity consumption of the entire community; the charging operation management platform is an Internet-based charging monitoring and operation management platform that provides geographic information and location services for charging stations / piles, charging equipment management and monitoring, data collection and fault location, operation statistics and data analysis, and multi-dimensional revenue data and reports.

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