Intelligent charging pile charging control system and method

Abstract

The present invention discloses a smart charging pile charging control system and method, including 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 communicatively connected, wherein: the data acquisition layer includes one or more electric meters and one or more box transformers, which are used to monitor the real-time electric meter power when the device layer uses electricity; the device layer includes but is not limited to charging stations or charging piles; the device supervision and control layer is divided into a smart energy system and a charging operation management platform. The present invention calculates the charging priority of each electric vehicle and arranges the start and stop of each charging pile by performing orderly charging online control and offline optimization of the power limit value, and controls each charging pile accurately. The allowed charging time period can be set for each charging pile to prevent excessive charging during peak power consumption periods, support delayed charging, and avoid peaks on peaks.

Description

Technical field:

[0001] The present invention relates to the field of charging control technology, and in particular to an intelligent charging pile charging control system and method. 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 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. Charging a large number of electric vehicles will increase the load on the power grid. If charging during peak hours, it will cause overload of distribution network lines and transformers, increased losses, increased peak-to-valley differences, voltage drops and other problems, which will have a negative impact on the safe operation of the distribution network. Therefore, orderly control of electric vehicle charging will help reduce the risks of power grid operation and improve the economic benefits of power grid operation. Summary of the invention:

[0004] The purpose of the present invention is to provide a smart charging pile charging control system and method to solve the problems in the prior art that charging during peak power consumption will cause overload of distribution network lines and transformers, increased losses, increased peak-to-valley differences, and voltage drops.

[0005] The present invention is implemented by the following technical scheme: an intelligent charging pile 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:

[0006] 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;

[0007] Equipment layer, including but not limited to charging stations or charging piles;

[0008] 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.

[0009] Furthermore, the charging operation management platform includes a database server, a Web / App background server, and a user login server.

[0010] Furthermore, the device layer and the device supervision and control layer are connected through a switch and a mobile communication network.

[0011] Furthermore, the smart energy system collects meter data through the 645 multi-function meter communication protocol and converts and stores the collected data.

[0012] Furthermore, the smart energy system is connected with one or more 645 multi-function meters.

[0013] The present invention also provides a smart charging pile charging control method, comprising:

[0014] During the off-peak period, the equipment supervision and control layer uses the power limit value implemented on that day to perform orderly online charging control on electric vehicles charged by charging piles in the equipment layer; 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 power consumption of the entire community; the charging operation management platform is an Internet-based charging monitoring and operation management platform, which provides geographic information and location services of 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;

[0015] After the valley period ends, the equipment supervision and control layer optimizes the power limit value offline according to the charging information of the electric vehicles participating in the orderly charging in the previous control period, and formulates the power limit value for the next control period.

[0016] Furthermore, during the valley period, the equipment supervision and control layer uses the power limit value implemented on that day to perform orderly online charging control on the electric vehicles charged by the charging piles in the equipment layer, specifically: after the user plugs the electric vehicle into the charging pile, the user sets the expected state of charge and the departure time through the interactive interface on the charging pile, and the charging control system on the charging pile obtains the main variables of the charging load through the battery management system of the electric vehicle; the charging control system of the charging pile uploads the charging load information to the equipment supervision and control layer, and the equipment supervision and control layer controls the charging of the electric vehicle, including the following steps:

[0017] Step 1-1) The charging pile detects whether there is an electric vehicle connected. If not, go to step 3). If yes, determine whether the newly connected electric vehicle meets the delayed charging conditions. If the delayed charging conditions are met, the electric vehicle enters an orderly charging waiting sequence. Otherwise, charge it immediately to ensure that the power at the end of charging is as close to the user's expected state of charge as possible.

[0018] Step 1-2) The equipment supervision and control layer obtains the real-time load information of the charging pile at time t through the data acquisition layer; finds the electric vehicle that has completed charging at time t and removes it from the charging sequence;

[0019] Step 1-3) Find the electric vehicle with the highest charging priority in the charging waiting sequence. If the priority S=1, the equipment supervision and control layer issues a command to the charging pile to charge the current electric vehicle; if the priority S≠1, the power limit value P set on that day is used. l Calculate the power margin P at time t m , determine the power margin P at time t m Is it greater than the total power P of the electric vehicles to be charged and the electric vehicles being charged? s , is P m >P s Then the electric vehicle to be charged is charged, and the charging start time t of the electric vehicle to be charged is recorded. s and charging end time t o , and update the power margin P m+1 , continue to look for the electric vehicle with the highest priority at the next moment, and determine whether it can be charged, until the priority S≠1 and the power margin is less than the charging power of the electric vehicle to be charged;

[0020] Among them, P m =P l -P t ;P t is the total power of the electric vehicles being charged at time t.

[0021] Furthermore, the equipment supervision control layer performs offline optimization of the power limit value according to the charging information of the electric vehicles participating in the orderly charging in the previous control period, specifically:

[0022] Step 2-1) Check whether there is an electric car returning at time t. If so, determine whether it meets the delayed charging condition. If it meets the condition, the electric car enters the set of electric cars waiting for charging En; if it does not meet the condition, the electric car enters the set of electric cars being charged Cn. The power of all charging electric cars in the set Cn at time t is:

[0023]

[0024] Among them, P t is the total power of the electric vehicle being charged at time t, P i Charging power of a single electric vehicle;

[0025] Step 2-2) at time t, find an electric vehicle that has completed charging from the set of electric vehicles being charged Cn, delete it from Cn, and enter the set of electric vehicles that have completed charging Fn;

[0026] Step 2-3) After the valley period starts, calculate the charging priority S of each electric vehicle in the set of electric vehicles En waiting to be charged, and find the electric vehicle with the highest priority S; when the priority S≠1 and the power limit value P set on that day l If it is greater than the sum of the power of the electric vehicle to be charged and the electric vehicle being charged at time t, or the priority S = 1, then the electric vehicle with the highest priority enters the set Cn;

[0027] Step 2-4) Repeat step 2-3) until S≠1 and the power limit value P set for the day is l When it is less than the sum of the power of the electric vehicle to be charged and the electric vehicle being charged at time t, advance to the next time and continue with step 2-1).

[0028] Furthermore, the electric vehicle charging priority S is calculated as follows:

[0029]

[0030] Among them, t m is the time from time t to the latest time when the electric vehicle is charged, t s is the dwell time of the electric vehicle, t c The time required to fully charge an electric vehicle.

[0031] Furthermore, the delayed charging condition satisfies:

[0032] ① The user leaves after the off-peak period begins;

[0033] ② The time from the user’s return time to the latest charging completion time is longer than the time required to charge the electric vehicle.

[0034] Advantages of the present invention:

[0035] (1) By performing online control of orderly charging and offline optimization of the power limit value, the charging priority of each electric vehicle is calculated and the start and stop of each charging pile are arranged. The control is accurate to each charging pile, and the charging piles corresponding to the electric vehicles can be flexibly selected to participate in orderly charging.

[0036] (2) Users can customize the orderly charging plan, set the threshold, capacity, and piles participating in the orderly charging, and match the most appropriate charging method.

[0037] (3) Based on customer needs, a charging time period can be set for each charging pile to prevent excessive charging during peak hours. This supports delayed charging to avoid peaks. Description of the drawings:

[0038] 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.

[0039] Figure 1 This is a principle block diagram of a smart charging pile charging control system according to an embodiment of the present invention;

[0040] Figure 2 A schematic diagram of the overall functional structure of a smart charging pile charging control system according to an embodiment of the present invention;

[0041] Figure 3 A schematic diagram of an energy management system of an intelligent charging pile charging control system according to an embodiment of the present invention collecting data from an electric meter for storage and control;

[0042] Figure 4 The present invention is a schematic diagram of an energy management system of an intelligent charging pile charging control system in an embodiment of the present invention collecting data from multiple electric meters for storage control. Specific implementation method:

[0043] 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.

[0044] Example 1

[0045] like Figure 1 As shown, a smart charging pile 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 connected in communication. The overall functional structure of the system is shown in FIG. Figure 2As 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:

[0046] 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.

[0047] Equipment layer, including but not limited to charging stations or charging piles;

[0048] 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.

[0049] In this embodiment, the charging operation management platform includes a database server, a Web / App background server, and a user login server.

[0050] In this embodiment, the device layer and the device supervision and control layer are connected through a switch and a mobile communication network.

[0051] 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.

[0052] 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.

[0053] 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:

[0054] 1. Power reduction:

[0055] 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.

[0056] 2. Increased power

[0057] 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.

[0058] 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.

[0059] Example 2

[0060] The present invention also provides a smart charging pile charging control method, comprising:

[0061] During the off-peak hours, the equipment supervision and control layer uses the power limit value implemented on that day to control the orderly charging of electric vehicles charged by charging piles in the equipment layer online; 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, which 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;

[0062] After the valley period ends, the equipment supervision and control layer optimizes the power limit value offline according to the charging information of the electric vehicles participating in the orderly charging in the previous control period, and formulates the power limit value for the next control period.

[0063] In this embodiment, during the off-peak period, the device supervision and control layer uses the power limit value implemented on that day to perform orderly online charging control on the electric vehicles charged by the charging piles in the device layer. Specifically, after the user plugs the electric vehicle into the charging pile, the user sets the expected state of charge and the departure time through the interactive interface on the charging pile. The charging control system on the charging pile obtains the main variables of the charging load through the battery management system of the electric vehicle. The charging control system of the charging pile uploads the charging load information to the device supervision and control layer, and the device supervision and control layer controls the charging of the electric vehicle, including the following steps:

[0064] Step 1-1) The charging pile detects whether there is an electric vehicle connected. If not, go to step 3). If yes, determine whether the newly connected electric vehicle meets the delayed charging conditions. If the delayed charging conditions are met, the electric vehicle enters the orderly charging waiting sequence. Otherwise, charge it immediately to ensure that the power at the end of charging is as close to the user's expected electric vehicle charge state as possible.

[0065] Step 1-2) The equipment supervision and control layer obtains the real-time load information of the charging pile at time t through the data acquisition layer; finds the electric vehicle that has completed charging at time t and removes it from the charging sequence;

[0066] Step 1-3) Find the electric vehicle with the highest charging priority in the charging waiting sequence. If the priority S=1, the equipment supervision and control layer issues a command to the charging pile to charge the current electric vehicle; if the priority S≠1, the power limit value P set on that day is used. l Calculate the power margin P at time t m , determine the power margin P at time t m Is it greater than the total power P of the electric vehicles to be charged and the electric vehicles being charged? s , is P m >P s Then the electric vehicle to be charged is charged, and the charging start time t of the electric vehicle to be charged is recorded. s and charging end time t o , and update the power margin P m+1 , continue to look for the electric vehicle with the highest priority at the next moment, and determine whether it can be charged, until the priority S≠1 and the power margin is less than the charging power of the electric vehicle to be charged;

[0067] Among them, P m =P l -P t ;P t is the total power of the electric vehicles being charged at time t.

[0068] In this embodiment, the equipment supervision control layer performs offline optimization of the power limit value according to the charging information of the electric vehicles participating in the orderly charging in the previous control period, specifically:

[0069] Step 2-1) Check whether there is an electric car returning at time t. If so, determine whether it meets the delayed charging condition. If it meets the condition, the electric car enters the set of electric cars waiting for charging En; if it does not meet the condition, the electric car enters the set of electric cars being charged Cn. The power of all charging electric cars in the set Cn at time t is:

[0070]

[0071] Among them, P t is the total power of the electric vehicle being charged at time t, P i Charging power of a single electric vehicle;

[0072] Step 2-2) at time t, find an electric vehicle that has completed charging from the set of electric vehicles being charged Cn, delete it from Cn, and enter the set of electric vehicles that have completed charging Fn;

[0073] Step 2-3) After the valley period starts, calculate the charging priority S of each electric vehicle in the set of electric vehicles En waiting to be charged, and find the electric vehicle with the highest priority S; when the priority S≠1 and the power limit value P set on that day l If it is greater than the sum of the power of the electric vehicle to be charged and the electric vehicle being charged at time t, or the priority S = 1, then the electric vehicle with the highest priority enters the set Cn;

[0074] Step 2-4) Repeat step 2-3) until S≠1 and the power limit value P set for the day is l When it is less than the sum of the power of the electric vehicle to be charged and the electric vehicle being charged at time t, advance to the next time and continue with step 2-1).

[0075] In this embodiment, the calculation method of the electric vehicle charging priority S is:

[0076]

[0077] Among them, t m is the time from time t to the latest time when the electric vehicle is charged, t s is the dwell time of the electric vehicle, t c The time required to fully charge an electric vehicle.

[0078] In this embodiment, the delayed charging condition satisfies:

[0079] ① The user leaves after the off-peak period begins;

[0080] ② The time from the user’s return time to the latest charging completion time is longer than the time required to charge the electric vehicle.

[0081] Combined with the above-mentioned intelligent charging pile charging control method, after the user connects the electric vehicle to the charging pile, the charging control system on the charging pile can obtain the battery information of the electric vehicle through the battery management system of the electric vehicle. The user can set the expected departure time and expected charge state through the charging pile. The charging pile uploads the battery information and user setting information to the equipment supervision and control layer. The equipment supervision and control layer arranges the start and stop of each charging pile by calculating the charging priority of each electric vehicle.

[0082] In summary, the present invention has the following advantages:

[0083] (1) By performing online control of orderly charging and offline optimization of the power limit value, the charging priority of each electric vehicle is calculated and the start and stop of each charging pile are arranged. The control is accurate to each charging pile, and the charging piles corresponding to the electric vehicles can be flexibly selected to participate in orderly charging.

[0084] (2) Users can customize the orderly charging plan, set the threshold, capacity, and piles participating in the orderly charging, and match the most appropriate charging method.

[0085] (3) Based on customer needs, a charging time period can be set for each charging pile to prevent excessive charging during peak hours. This supports delayed charging to avoid peaks.

[0086] 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. A smart charging pile charging control method, characterized in that: include: During the off-peak period, the equipment supervision and control layer uses the power limit value implemented on that day to carry out orderly online charging control of electric vehicles charged by charging piles in the equipment layer; After the valley period ends, the equipment supervision and control layer optimizes the power limit value offline according to the charging information of the electric vehicles participating in the orderly charging in the previous control period, and formulates the power limit value for the next control period; during the valley period, the equipment supervision and control layer uses the power limit value implemented on that day to perform orderly charging online control on the electric vehicles charged by the charging piles in the equipment layer, specifically: after the user plugs the electric vehicle into the charging pile, the user sets the expected state of charge and the time of leaving through the interactive interface on the charging pile, and the charging control system on the charging pile obtains the main variables of the charging load through the battery management system of the electric vehicle; the charging control system of the charging pile uploads the charging load information to the equipment supervision and control layer, and the equipment supervision and control layer controls the charging of the electric vehicle, including the following steps: Step 1-1) The charging pile detects whether there is an electric vehicle connected. If not, go to step 1-3). If yes, determine whether the newly connected electric vehicle meets the delayed charging conditions. If the delayed charging conditions are met, the electric vehicle enters the orderly charging waiting sequence. Otherwise, charge it immediately to ensure that the power at the end of charging is as close to the user's expected electric vehicle charge state as possible. Step 1-2) The equipment supervision and control layer obtains the real-time load information of the charging pile at time t through the data acquisition layer; finds the electric vehicle that has completed charging at time t and removes it from the charging sequence; Step 1-3) Find the electric vehicle with the highest charging priority in the charging waiting sequence. If the priority S=1, the equipment supervision and control layer issues a command to the charging pile to charge the current electric vehicle; if the priority S≠1, the power limit value set on that day is used. Calculate the power margin at time t , determine the power margin at time t Is it greater than the total power of the electric vehicles to be charged and the electric vehicles being charged? ,yes > The electric vehicle to be charged is charged, and the charging start time of the electric vehicle to be charged is recorded. and charging end time , and update the power margin , continue to look for the electric vehicle with the highest priority at the next moment, and determine whether it can be charged, until the priority S≠1 and the power margin is less than the charging power of the electric vehicle to be charged; in, = - ; is the total power of the electric vehicle being charged at time t; The equipment supervision control layer performs offline optimization of the power limit value according to the charging information of the electric vehicles participating in the orderly charging in the previous control period, specifically: Step 2-1) Check whether there is an electric car returning at time t. If so, determine whether it meets the delayed charging conditions. If it meets the conditions, the electric car enters the set of electric cars waiting for charging En; if it does not meet the conditions, the electric car enters the set of electric cars being charged Cn. The power of all charging electric cars in the set Cn at time t is: ; in, is the total power of the electric vehicle being charged at time t, Charging power of a single electric vehicle; Step 2-2) At time t, find an electric vehicle that has completed charging from the set of electric vehicles being charged Cn, delete it from Cn, and enter the set of electric vehicles that have completed charging Fn; Step 2-3) After the valley period starts, calculate the charging priority S of each electric vehicle in the set of electric vehicles En waiting to be charged, and find the electric vehicle with the highest priority S; when the priority S≠1 and the power limit value set on that day If it is greater than the sum of the power of the electric vehicle to be charged and the electric vehicle being charged at time t, or the priority S=1, then the electric vehicle with the highest priority enters the set Cn; Step 2-4) Repeat steps 2-3) until S≠1 and the power limit value set for the day is When it is less than the sum of the power of the electric vehicle to be charged and the electric vehicle being charged at time t, advance to the next moment and continue with step 2-1).

2. A smart charging pile charging control method according to claim 1, characterized in that: The electric vehicle charging priority S is calculated as follows: ; in, is the duration from time t to the latest charging completion time of the electric vehicle, The length of time that electric vehicles stay The time required to fully charge an electric vehicle.

3. The intelligent charging pile charging control method according to claim 1, characterized in that: The delayed charging condition meets: ① The user leaves after the off-peak period begins; ② The time from the user’s return time to the latest charging completion time is longer than the time required to charge the electric vehicle.

4. A smart charging pile charging control system, the control system applies the smart charging pile charging control method according to claim 1, comprising a data acquisition layer, a device layer and a device supervision control layer, the data acquisition layer and the device layer are connected, the device layer and the device supervision 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 the smart energy system and the 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.

5. The intelligent charging pile charging control system according to claim 4, characterized in that: The charging operation management platform includes a database server, a Web / App background server, and a user login server.

6. The intelligent charging pile charging control system according to claim 4, characterized in that: The device layer and the device supervision and control layer are connected through a switch and a mobile communication network.

7. The intelligent charging pile charging control system according to claim 4, characterized in that: The smart energy system collects meter data through the 645 multi-function meter communication protocol and converts and stores the collected data.

8. The intelligent charging pile charging control system according to claim 4, characterized in that: The smart energy system is connected to one or more 645 multi-function electricity meters.

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