A bidirectional charging control method and system for energy management

Abstract

The present invention discloses a bidirectional charging control method and system for energy management, which relates to the field of bidirectional charging technology. The method includes: obtaining the layout information of charging stations in the target area; obtaining N energy management areas; collecting information on controllable electric vehicles in the area, generating N sets of controllable electric vehicle information; determining N estimated supply power capacities and N storable power capacities of N energy management areas; generating Q power capacities that need to be supplemented and generating P supportable power capacities; performing balanced optimization of charging control schemes to obtain the optimal bidirectional charging control scheme; and performing bidirectional charging control on Q energy management areas to be controlled in the target area. The present invention solves the technical problems of unbalanced power call and large loss when bidirectional charging is required due to insufficient regional power supply in the prior art, and achieves the technical effect of improving the reliability of bidirectional charging control and reducing transmission loss.

Description

Technical Field

[0001] The present invention relates to the technical field of bidirectional charging, and in particular to a bidirectional charging control method and system for energy management. Background Art

[0002] The utilization rate of electric vehicles has increased significantly, and the disordered demand for electricity has led to large fluctuations in electricity supply. At present, in order to improve this situation, bidirectional charging is achieved by using unused electric vehicles to supply energy to charging stations. However, during the bidirectional charging process, the battery loss analysis is insufficient, resulting in the battery life of electric vehicles decreasing too quickly, and the power loss is too large during the transmission process due to the voltage instability. In the prior art, there are technical problems such as unbalanced power call and large loss when bidirectional charging is required due to insufficient regional power supply. Summary of the invention

[0003] The present application provides a bidirectional charging control method and system for energy management, which is used to solve the technical problems in the prior art of unbalanced power call and large loss when bidirectional charging is required due to insufficient regional power supply.

[0004] In view of the above problems, the present application provides a bidirectional charging control method and system for energy management.

[0005] In a first aspect of the present application, a bidirectional charging control method for energy management is provided, the method comprising:

[0006] Acquiring charging station layout information of a target area, and generating the charging station layout information by collecting location coordinates of all charging stations set in the target area;

[0007] Gridding the charging station layout information based on the power grid trunk line in the target area to obtain N energy management areas, each of which includes multiple charging stations;

[0008] Traversing the N energy management areas, collecting information of controllable electric vehicles in the areas, and generating N sets of information of controllable electric vehicles, wherein the information of controllable electric vehicles includes states of controllable electric vehicles and battery cycle data of electric vehicles;

[0009] Determining N estimated supplied electric energy capacities and N storable electric energy capacities of N energy management areas in combination with the N controllable electric vehicle information sets;

[0010] Collect N electric energy storage capacities of N energy management areas at the current moment, and determine in turn whether the N electric energy storage capacities meet the N expected supply electric energy capacities. If not, calculate the electric energy capacity to be supplemented and generate Q electric energy capacities to be supplemented. If satisfied, calculate the difference and generate P supportable electric energy capacities, wherein the Q electric energy capacities to be supplemented correspond to the Q energy management areas to be controlled, and the P supportable electric energy capacities correspond to the P supportable energy management areas;

[0011] Based on N electric energy storage capacities, N storable electric energy capacities, Q electric energy capacities to be supplemented, Q energy management areas to be controlled, P supportable electric energy capacities and P supportable energy management areas, a charging control scheme is balanced and optimized to obtain an optimal bidirectional charging control scheme;

[0012] Bidirectional charging control is performed on the Q energy management areas to be controlled within the target area according to the optimal bidirectional charging control scheme.

[0013] A second aspect of the present application provides a bidirectional charging control system for energy management, the system comprising:

[0014] A layout information acquisition module, the layout information acquisition module is used to obtain the layout information of the charging stations in the target area, and generate the layout information of the charging stations by collecting the location coordinates of all the charging stations set in the target area;

[0015] An energy management area acquisition module, the energy management area acquisition module is used to grid the charging station layout information based on the power grid trunk line in the target area to obtain N energy management areas, each of which contains multiple charging stations;

[0016] A vehicle information acquisition module, the vehicle information acquisition module is used to traverse the N energy management areas, collect information about controllable electric vehicles in the areas, and generate N sets of controllable electric vehicle information, wherein the controllable electric vehicle information includes a state of the controllable electric vehicle and battery cycle data of the electric vehicle;

[0017] An electric energy capacity determination module, the electric energy capacity determination module is used to determine N estimated supply electric energy capacities and N storable electric energy capacities of N energy management areas in combination with the N controllable electric vehicle information sets;

[0018] A management area generation module, the management area generation module is used to collect N electric energy storage capacities of N energy management areas at the current moment, and determine in turn whether the N electric energy storage capacities meet the N expected supply electric energy capacities. If not, calculate the electric energy capacity to be supplemented, and generate Q electric energy capacities to be supplemented. If satisfied, calculate the difference, and generate P supportable electric energy capacities, wherein the Q electric energy capacities to be supplemented correspond to the Q energy management areas to be controlled, and the P supportable electric energy capacities correspond to the P supportable energy management areas;

[0019] A control scheme generation module, wherein the control scheme generation module is used to perform balanced optimization of charging control schemes based on N electric energy storage capacities, N storable electric energy capacities, Q electric energy capacities to be supplemented, Q energy management areas to be controlled, P supportable electric energy capacities and P supportable energy management areas to obtain an optimal bidirectional charging control scheme;

[0020] A bidirectional charging control module is used to perform bidirectional charging control on Q energy management areas to be controlled within a target area according to the optimal bidirectional charging control scheme.

[0021] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0022] The present application obtains the charging station layout information of the target area, generates the charging station layout information by collecting the location coordinates of all charging stations set in the target area, and then grids the charging station layout information based on the power grid trunk line in the target area to obtain N energy management areas, each of which contains multiple charging stations, and then traverses the N energy management areas to collect controllable electric vehicle information in the area to generate N controllable electric vehicle information sets, wherein the controllable electric vehicle information includes the controllable electric vehicle status and electric vehicle battery cycle data, and determines the N estimated supply power capacity and N storable power capacity of the N energy management areas by combining the N controllable electric vehicle information sets, and then collects the N power storage capacity of the N energy management areas at the current moment. Storage capacity, judge whether N electric energy storage capacities meet N expected supply electric energy capacities in turn, if not, calculate the electric energy capacity to be supplemented, generate Q electric energy capacities to be supplemented, if satisfied, calculate the difference, generate P supportable electric energy capacities, where Q required electric energy capacities correspond to Q energy management areas to be controlled, and P supportable electric energy capacities correspond to P supportable energy management areas, and then based on N electric energy storage capacities, N storable electric energy capacities, Q required electric energy capacities, Q energy management areas to be controlled, P supportable electric energy capacities and P supportable energy management areas, balance and optimize the charging control scheme, obtain the optimal bidirectional charging control scheme, and perform bidirectional charging control on the Q energy management areas to be controlled in the target area according to the optimal bidirectional charging control scheme. The technical effect of improving the accuracy of bidirectional charging and discharging control and reducing charging loss is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0024] Figure 1 A schematic flow chart of a bidirectional charging control method for energy management provided in an embodiment of the present application;

[0025] Figure 2 A schematic diagram of a flow chart of setting the state of a controllable electric vehicle in a corresponding charging station to a power supply state in a bidirectional charging control method for energy management provided in an embodiment of the present application;

[0026] Figure 3 A schematic diagram of a flow chart of performing balanced optimization of a charging control scheme in a bidirectional charging control method for energy management provided in an embodiment of the present application;

[0027] Figure 4A schematic diagram of the structure of a bidirectional charging control system for energy management provided in an embodiment of the present application.

[0028] Explanation of the reference numerals: layout information acquisition module 11 , energy management area acquisition module 12 , vehicle information acquisition module 13 , electric energy capacity determination module 14 , management area generation module 15 , control scheme generation module 16 , bidirectional charging control module 17 . DETAILED DESCRIPTION

[0029] The present application provides a bidirectional charging control method and system for energy management, which is used to solve the technical problems in the prior art of unbalanced power call and large loss when bidirectional charging is required due to insufficient regional power supply.

[0030] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0032] Embodiment 1

[0033] like Figure 1 As shown, the present application provides a bidirectional charging control method for energy management, wherein the method comprises:

[0034] Acquiring charging station layout information of a target area, and generating the charging station layout information by collecting location coordinates of all charging stations set in the target area;

[0035] In an embodiment of the present application, the target area is any area that requires energy management, and a plurality of charging stations are arranged in the target area. The charging stations store the electric energy transmitted in the power grid and supply power to the electric vehicles in the charging stations. The charging station layout information describes the distribution of the charging stations in the target area, and the charging station layout information is generated by collecting the location coordinates of all charging stations set in the target area. The distribution of charging stations for bidirectional charging in the target area is mastered, which paves the way for the subsequent completion of bidirectional charging control.

[0036] Gridding the charging station layout information based on the power grid trunk line in the target area to obtain N energy management areas, each of which includes multiple charging stations;

[0037] By collecting the distribution of power grid lines in the target area, the location of the transformer is determined, and the charging stations at different locations in the target area are divided into grids according to the main line connected to the transformer in the charging station layout information. The charging stations belonging to the same main line are divided into the same grid, and each grid in the division result is used as an energy management area, thereby obtaining N energy management areas, wherein each energy management area includes multiple charging stations. Preferably, since the number of shopping malls, residential buildings, and enterprises distributed at different locations in the target area is different, the demand for charging stations is also different. Therefore, the number of charging stations distributed in different energy management areas is inconsistent. By dividing the energy management area, a control object is provided for subsequent power analysis to determine the corresponding bidirectional charging control solution.

[0038] Traversing the N energy management areas, collecting information of controllable electric vehicles in the areas, and generating N sets of information of controllable electric vehicles, wherein the information of controllable electric vehicles includes states of controllable electric vehicles and battery cycle data of electric vehicles;

[0039] Further, such as Figure 2 As shown, the embodiment of the present application also includes:

[0040] At the current moment, the MCU chip of the charging station is used to detect the CP signals of multiple charging stations in N energy management areas to obtain N CP signal detection result sets;

[0041] Determine whether the N CP signal detection result sets meet a preset level threshold, and if so, set the state of the controllable electric vehicle in the corresponding charging station to a charging state;

[0042] If not, the state of the controllable electric vehicle in the corresponding charging station is set to the energy supply state.

[0043] In obtaining the N energy management areas, the N controllable electric vehicle information sets are obtained by collecting all controllable electric vehicle states and electric vehicle battery cycle data in the target area. Among them, the controllable electric vehicle state describes the power supply state of the electric vehicle in each charging station in each energy management area, including the charging state and the energy supply state. The charging state is the state in which the electric vehicle is connected to the charging plug on the charging pile in the charging station and obtains electric energy from the charging pile. The energy supply state is the state in which the electric vehicle is connected to the charging plug of the charging station and transmits electric energy to the charging pile. The electric vehicle battery cycle data is the number of times the battery of the electric vehicle has completed charging and discharging at the current moment, which reflects the life of the electric vehicle battery from the side. Preferably, the fewer the battery cycles, the longer the battery life. By collecting the controllable electric vehicle information, the control object information is provided for the subsequent bidirectional charging control.

[0044] In one embodiment, the MCU chip on each charging pile in the charging station is used to detect the CP signals (charging control signals) on different charging piles of multiple charging stations in N energy management areas, and the level of each CP signal is monitored as the CP signal detection result, thereby obtaining the corresponding N CP signal detection result sets. The preset level threshold is a preset CP signal value when the electric vehicle is charged by the charging pile, such as 12V. By comparing and judging the N CP signal detection result sets with the preset level threshold, when the preset level threshold is met, the controllable electric vehicle state in the corresponding charging station is set to the charging state, and when the preset level threshold is not met, such as the CP signal is 6V, the controllable electric vehicle state in the corresponding charging station is set to the energy supply state.

[0045] Determining N estimated supplied electric energy capacities and N storable electric energy capacities of N energy management areas in combination with the N controllable electric vehicle information sets;

[0046] Collect N electric energy storage capacities of N energy management areas at the current moment, and determine in turn whether the N electric energy storage capacities meet the N expected supply electric energy capacities. If not, calculate the electric energy capacity to be supplemented and generate Q electric energy capacities to be supplemented. If satisfied, calculate the difference and generate P supportable electric energy capacities, wherein the Q electric energy capacities to be supplemented correspond to the Q energy management areas to be controlled, and the P supportable electric energy capacities correspond to the P supportable energy management areas;

[0047] In an embodiment of the present application, by using the charging state as an index, electric vehicles in the charging state are screened out from N controllable electric vehicle information sets, the electric energy capacity required when the electric vehicle is fully charged is analyzed one by one, and multiple required electric energy capacities belonging to the same energy management area are added up to determine the N estimated supply electric energy capacities of the corresponding N energy management areas. Then, using the energy supply state as an index, electric vehicles in the energy supply state are screened out from N controllable electric vehicle information sets, and the electric energy capacity that can be supplied when the electric vehicle requirements are met is determined, and the corresponding N storable electric energy capacities of the corresponding N energy management areas are determined after the corresponding addition. Among them, the N estimated supply electric energy capacities are the energy that the N energy management areas need to supply to the electric vehicles in the area respectively, and the N storable electric energy capacities are the electric energy capacities that the electric vehicles in the N energy management areas can transmit to the charging station for in-station storage.

[0048] Preferably, since the fluctuation of the power usage of other power consumption points in the N energy management areas at different times causes the fluctuation of the N power storage capacities in the N energy management areas, the N power storage capacities of the N energy management areas at the current time are collected as analysis data to analyze whether the N energy management areas need to perform bidirectional charging. The N power storage capacities are the power capacities stored in multiple charging stations in the N energy management areas.

[0049] Furthermore, by comparing N electric energy storage capacities with N estimated electric energy supply capacities, it is determined whether the N estimated electric energy supply capacities are satisfied. If not satisfied, the electric energy storage capacity is less than or equal to the estimated electric energy supply capacity, indicating that the electric energy stored in the corresponding energy management area at the current moment cannot enable the electric vehicle in the charging state to complete the charging task, and bidirectional charging is required. By calculating the difference between the electric energy storage capacity and the estimated electric energy supply capacity, as the required electric energy capacity, add Q required electric energy capacities. If satisfied, it means that the electric energy storage capacity is greater than the estimated electric energy supply capacity at this time, the energy management area at the current moment does not need to perform bidirectional charging, and can also provide electric energy to other energy management areas. The difference between the electric energy storage capacity and the estimated electric energy supply capacity is calculated as the supported electric energy capacity, and added to P supported electric energy capacities. The Q required electric energy capacities correspond to the Q energy management areas to be controlled, and the P supported electric energy capacities correspond to the P supported energy management areas.

[0050] Based on N electric energy storage capacities, N storable electric energy capacities, electric energy storage capacity, Q electric energy capacities to be supplemented, Q energy management areas to be controlled, P supportable electric energy capacities and P supportable energy management areas, a charging control scheme is balanced and optimized to obtain an optimal bidirectional charging control scheme;

[0051] Further, such as Figure 3 As shown, the charging control scheme is balanced and optimized based on N electric energy storage capacities, N storable electric energy capacities, Q electric energy capacities to be supplemented, and Q energy management areas to be controlled to obtain the optimal bidirectional charging control scheme. The embodiment of the present application also includes:

[0052] According to the Q energy management areas to be controlled, the N storable electric energy capacities are matched to obtain Q storable electric energy capacities to be controlled;

[0053] The Q storable electric energy capacities of the controllable electric vehicles in the Q energy management areas to be controlled in the charging control scheme are set to be less than the Q storable electric energy capacities to be controlled as the first charging control constraint condition;

[0054] The loss of calling electric energy from P supported energy management areas in the charging control scheme is lower than a preset electric energy loss threshold, and is set as a second charging control constraint condition;

[0055] A charging control scheme is balanced and optimized according to the first charging control constraint condition and the second charging control constraint condition.

[0056] In an embodiment of the present application, by performing balanced optimization of charging control schemes based on information in N estimated supply power capacities, N storable power capacities, Q power capacities to be supplemented, Q energy management areas to be controlled, P supportable power capacities, and P supportable energy management areas, an analysis is performed from three dimensions: reverse charging loss, battery life loss, and line transmission loss, to determine a charging control scheme with the lowest comprehensive loss as the optimal bidirectional charging control scheme. Among them, the optimal bidirectional charging control scheme includes the power obtained by charging the controllable electric vehicles in the energy supply state in the Q energy management areas to be controlled, and the power called from other areas, as well as the number of controllable electric vehicles called and the energy management area that calls the power. The technical effect of reducing the loss of bidirectional charging control and improving the control accuracy and control efficiency is achieved.

[0057] In one embodiment, during the process of searching for a balanced optimal charging control scheme, a randomly generated charging control scheme may exceed the supply capacity of controllable electric vehicles in the energy supply state in the area, and although the power demand of the energy management area to be controlled can be met, the loss exceeds expectations. Therefore, it is necessary to constrain the process of searching for a balanced optimal charging control scheme through a first charging control constraint and a second charging control constraint.

[0058] Preferably, by obtaining Q storable electric energy capacities to be controlled corresponding to Q energy management areas to be controlled according to N storable electric energy capacities, the Q storable electric energy capacities of the controllable electric vehicles in the Q energy management areas to be controlled in the charging control scheme are set to be less than the Q storable electric energy capacities to be controlled as the first charging control constraint condition. The loss of calling electric energy from P supportable energy management areas in the charging control scheme is set to be lower than a preset electric energy loss threshold as the second charging control constraint condition. Through the first charging control constraint condition and the second charging control constraint condition, the process of equilibrium optimization is constrained and restricted to improve the reliability of charging control.

[0059] Furthermore, the embodiment of the present application also includes:

[0060] Randomly select one electric energy capacity to be supplemented and one corresponding energy management area to be controlled from the Q electric energy capacities to be supplemented and the Q energy management areas to be controlled as the first electric energy capacity to be supplemented and the first energy management area to be controlled;

[0061] Calculate the difference between the first electric energy capacity to be supplemented and the first storable electric energy capacity to be controlled to obtain a first valley value of the capacity to be supplemented;

[0062] Determine whether the P supported electric energy capacities are greater than the first required supplement capacity valley value, and if so, add the corresponding P supported energy management areas to the first initial to-be-called area set, wherein the first initial to-be-called area set is the initial external area where the first to-be-controlled energy management area can meet the electric energy demand;

[0063] According to the charging station layout information, traverse and calculate the interval distances between the first set of areas to be called and the first energy management area to be controlled to obtain a first set of interval distances;

[0064] Calculate the power loss according to the first interval distance set to obtain a first power loss set;

[0065] The first electric energy loss set is screened based on the second charging control constraint condition, and a first to-be-called area set is obtained according to the screening result.

[0066] In a possible embodiment, a power capacity to be supplemented and a corresponding energy management area to be controlled are randomly selected from the Q power capacities to be supplemented and the Q energy management areas to be controlled, as the first power capacity to be supplemented and the first energy management area to be controlled for analysis. The difference is calculated based on the first power capacity to be supplemented and the first storable power capacity to be controlled to obtain the first capacity to be supplemented valley value. The first energy valley value to be supplemented is the difference between the capacity provided when all electric vehicles in the first energy management area to be controlled are used for energy supply and the first power capacity to be supplemented, which is the minimum power capacity that needs to be called from other areas to complete the power supply task of the first energy management area to be controlled.

[0067] Preferably, by respectively judging whether the P supportable electric energy capacities are greater than the first valley value of the capacity to be supplemented, if so, it indicates that the electric energy in the corresponding P supportable energy management areas can independently support the required electric energy capacity of the first energy management area to be controlled, then the corresponding P supportable energy management areas are added to the first initial area set to be called, wherein the first initial area set to be called is the initial external area where the first energy management area to be controlled can meet the electric energy demand, and then according to the charging station layout information, the interval distance between the first area set to be called and the first energy management area to be controlled is traversed and calculated to obtain the first interval distance set. Preferably, the first electric energy loss set is obtained by respectively calculating the electric energy loss by multiplying the transmission line loss per unit length by the first interval distance set. The transmission line loss per unit length is determined by a person skilled in the art according to the line material of the main line of the power grid. The first electric energy loss set is screened by using the second charging control constraint condition, and the areas below the preset electric energy loss threshold are screened out, and the supportable energy management areas corresponding to the screened out first electric energy loss set are used as the first area set to be called. The first set of areas to be called is an area where the first energy management area to be controlled can call for electric energy. Thus, the technical effect of optimizing and screening P supportable energy management areas, reducing the number of charging control analyses, and improving control efficiency is achieved.

[0068] Furthermore, after obtaining the first set of regions to be called according to the screening results, the embodiment of the present application further includes:

[0069] Generate a plurality of first charging control schemes according to the first electric energy capacity to be supplemented, the first set of areas to be called, and the first set of controllable electric vehicle information, wherein the first charging control scheme includes the first called electric vehicle information and the first called area set information;

[0070] Performing loss analysis on a plurality of first charging control schemes using a charging control loss analysis module to obtain a plurality of first loss amounts;

[0071] Obtaining an initial first charging control scheme according to the plurality of first loss analysis results, wherein the initial first loss amount corresponding to the initial charging control scheme is a minimum value among the plurality of first loss analysis results;

[0072] A first adjustment scale is set according to the initial first loss amount, the initial first charging control scheme is randomly adjusted according to a preset adjustment method according to the first adjustment scale, and the adjustment process is constrained according to the first charging control constraint condition to obtain an initial first adjusted charging control scheme set, wherein the preset adjustment method is to adjust the electric energy capacity called from the electric vehicle and adjust the area called from the first set of areas to be called.

[0073] Furthermore, after obtaining the initial first adjustment charging control scheme set, the embodiment of the present application further includes:

[0074] Using a charging control loss analysis module to obtain a first loss amount set of the initial first adjusted charging control scheme set, and generate an updated first charging control scheme;

[0075] The first adjustment scale is updated according to the first loss amount corresponding to the updated first charging control scheme, and iterative optimization is performed according to the updated first adjustment scale until a preset number of iterations is reached, and the charging control scheme corresponding to the smallest first loss amount in the optimization process is used as the first optimal bidirectional charging control scheme;

[0076] According to the Q electric energy capacities to be supplemented and the Q energy management areas to be controlled, Q optimal bidirectional charging control schemes are obtained, and combined with the first optimal bidirectional charging control scheme, an optimal bidirectional charging control scheme is obtained.

[0077] In one possible embodiment, after obtaining the first set of areas to be called according to the screening results, the control scheme analysis module is constructed using the FFNN network layer, and multiple samples of the first electric energy capacity to be supplemented, multiple samples of the first set of areas to be called, multiple samples of the first controllable electric vehicle information set and multiple samples of the first charging control scheme set are obtained as construction data, and the construction data is divided into a training set and a verification set, and optionally, the training set accounts for 70% and the verification set accounts for 30%. The FFNN network layer is supervised and trained using the training set until the output reaches convergence, and the verification is performed using the verification set. When the verification accuracy of the verification set reaches more than 85%, the control scheme analysis module is obtained. The first electric energy capacity to be supplemented, the first set of areas to be called and the first controllable electric vehicle information set are transmitted to the input layer of the control scheme analysis module, and the convolution layer is used to perform convolution analysis to obtain the multiple first charging control schemes. Among them, the first charging control scheme includes the first calling electric vehicle information and the first calling area set information. The control scheme analysis module is used to perform convolution analysis on the bidirectional charging control scheme.

[0078] Preferably, a loss calculation formula is embedded in the charging control loss analysis module, which is used to perform loss analysis on the charging control scheme, and is used to determine the degree of loss from three dimensions: battery loss, loss when the electric vehicle supplies energy to the charging station, and line loss when the calling area transmits electric energy to the energy management area to be controlled. The multiple first charging control schemes are input into the charging control loss analysis module for loss analysis to obtain the multiple first loss amounts. Among them, the multiple first loss amounts reflect the electric energy loss of the multiple first charging control schemes during the bidirectional charging process. The minimum value among the multiple first loss analysis results is selected, and the corresponding first charging control scheme is used as the initial first charging control scheme. Optionally, the ratio of the initial first loss amount to the preset electric energy loss threshold and the product of the preset adjustment scale are used as the first adjustment scale. Among them, the preset adjustment scale is the amplitude of the increase or decrease in the electric energy capacity called from the electric vehicle, and the distance between the called area in the first set of areas to be called and the first energy management area to be controlled.

[0079] Preferably, the initial first charging control scheme is randomly adjusted according to the preset adjustment method according to the first adjustment scale, and the adjustment process is constrained according to the first charging control constraint condition to obtain an initial first adjustment charging control scheme set. Then, the charging control loss analysis module is used to obtain the first loss amount set of the initial first adjustment charging control scheme set, and the initial first adjustment charging control scheme corresponding to the minimum value in the first loss amount set is used as the updated first charging control scheme. Further, according to the first loss amount corresponding to the updated first charging control scheme, the first adjustment scale is updated in the same way as the first adjustment scale, and then iterative optimization is performed according to the updated first adjustment scale, and until the preset number of iterations is reached, the charging control scheme corresponding to the minimum first loss amount in the optimization process is used as the first optimal bidirectional charging control scheme. The preset number of iterations is the number of iterations set by those skilled in the art. Based on the same method, Q optimal bidirectional charging control schemes are obtained according to the Q electric energy capacities to be supplemented and the Q energy management areas to be controlled, and the optimal bidirectional charging control scheme is obtained by combining the first optimal bidirectional charging control scheme.

[0080] Furthermore, the embodiment of the present application also includes:

[0081] A loss calculation formula is embedded in the charging control loss analysis module, wherein the loss calculation formula is:

[0082]

[0083] Where L is the fitness, σ1 is the proportion of the loss of electric vehicles transmitting electricity to the charging station in the energy management area to be controlled in the calculation of the loss amount, σ2 is the proportion of the line loss when the energy management area to be controlled calls the electric energy to the collection of the areas to be called in the calculation of the loss amount, σ1+σ2=1, n1 is the total number of electric vehicles transmitting electricity to the energy management area to be controlled, n2 is the number of areas to be called that transmit electricity to the energy management area to be controlled, U 1i is the battery voltage of the ith electric vehicle that transmits power, U 2i is the voltage of the i-th charging pile receiving power transmission, I 2i is the current of the i-th charging pile receiving power transmission, x i is the number of battery cycles of the ith electric vehicle that transmits power, is the average number of cycles of the electric vehicle battery in the charging station where the i-th electric vehicle is located for power transmission, ε is the transmission line loss per unit length, l j is the length of the transmission line between the jth area to be called that transmits electric energy to the energy management area to be controlled and the energy management area to be controlled.

[0084] Preferably, the loss calculation formula is used to determine the degree of power loss in the bidirectional charging process from three dimensions: battery loss, loss when the electric vehicle supplies energy to the charging station, and line loss when the calling area transmits power to the energy management area to be controlled. L is the fitness, σ1 is the proportion of the loss of the electric vehicle transmitting power to the charging station in the energy management area to be controlled in the loss calculation, σ2 is the proportion of the line loss when the energy management area to be controlled calls the energy from the area to be called in the loss calculation, σ1+σ2=1, n1 is the total number of electric vehicles transmitting power to the energy management area to be controlled, n2 is the number of areas to be called that transmit power to the energy management area to be controlled, U 1i is the battery voltage of the ith electric vehicle that transmits power, U 2i is the voltage of the i-th charging pile receiving power transmission, I 2i is the current of the i-th charging pile receiving power transmission, x i is the number of battery cycles of the ith electric vehicle that transmits power, is the average number of cycles of the electric vehicle battery in the charging station where the i-th electric vehicle is located for power transmission, ε is the transmission line loss per unit length, l j is the length of the transmission line between the jth area to be called that transmits electric energy to the energy management area to be controlled and the energy management area to be controlled.

[0085] Preferably, when the number of cycles of the electric vehicle battery selected to supply energy to the charging station is greater than the average number of cycles of the electric vehicle batteries in the charging station where the electric vehicle for power transmission is located, the corresponding charging control scheme will cause greater loss to the electric vehicle battery. 1i with U 2i The greater the voltage drop between them, the greater the loss when the electric vehicle supplies energy to the charging station. The longer the transmission line between the area to be called for transmitting electric energy to the energy management area to be controlled and the energy management area to be controlled, the greater the corresponding line loss.

[0086] Bidirectional charging control is performed on the Q energy management areas to be controlled within the target area according to the optimal bidirectional charging control scheme.

[0087] Then, bidirectional charging control is performed on the Q energy management areas to be controlled in the target area according to the optimal bidirectional charging control scheme, and the electric energy capacity to be called from the electric vehicles in each area and the electric energy capacity to be called from other areas and the corresponding supported energy management areas are determined. The technical effect of improving the accuracy of bidirectional charging control and reducing power loss is achieved.

[0088] In summary, the embodiments of the present application have at least the following technical effects:

[0089] This application divides the charging stations arranged in the target area into grids according to the main power grid lines, obtains N energy management areas for charging control respectively, achieves the goal of reducing the control dimension and improving the control accuracy, then collects the information of controllable electric vehicles in each area, determines the N estimated supply power capacity and N storable power capacity of N energy management areas, and then analyzes whether the power stored in the energy management area at the current moment meets the required power supply, determines Q power capacities to be supplemented and P supported power capacities, as well as Q energy management areas to be controlled and P supported energy management areas, and balances and optimizes the charging control scheme based on N power storage capacity, N storable power capacity, Q power capacities to be supplemented, Q energy management areas to be controlled, P supported power capacity and P supported energy management areas, and performs bidirectional charging control on the Q energy management areas to be controlled in the target area according to the optimal bidirectional charging control scheme. The technical effect of improving the reliability of bidirectional charging control and reducing power loss is achieved.

[0090] Embodiment 2

[0091] Based on the same inventive concept as the bidirectional charging control method for energy management in the aforementioned embodiment, Figure 4 As shown, the present application provides a bidirectional charging control system for energy management, and the system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0092] A layout information acquisition module 11, the layout information acquisition module 11 is used to obtain the layout information of the charging stations in the target area, and generate the layout information of the charging stations by collecting the position coordinates of all the charging stations set in the target area;

[0093] An energy management area acquisition module 12, the energy management area acquisition module 12 is used to grid the charging station layout information based on the power grid trunk line in the target area to obtain N energy management areas, each of which contains multiple charging stations;

[0094] The vehicle information acquisition module 13 is used to traverse the N energy management areas, collect information about controllable electric vehicles in the areas, and generate N sets of controllable electric vehicle information, wherein the controllable electric vehicle information includes the state of the controllable electric vehicle and the battery cycle data of the electric vehicle;

[0095] An electric energy capacity determination module 14, the electric energy capacity determination module 14 is used to determine N estimated supply electric energy capacities and N storable electric energy capacities of N energy management areas in combination with the N controllable electric vehicle information sets;

[0096] A management area generation module 15, the management area generation module 15 is used to collect N electric energy storage capacities of N energy management areas at the current moment, and determine in turn whether the N electric energy storage capacities meet the N expected supply electric energy capacities. If not, calculate the electric energy capacity to be supplemented, and generate Q electric energy capacities to be supplemented. If satisfied, calculate the difference, and generate P supportable electric energy capacities, wherein the Q electric energy capacities to be supplemented correspond to the Q energy management areas to be controlled, and the P supportable electric energy capacities correspond to the P supportable energy management areas;

[0097] A control scheme generation module 16, wherein the control scheme generation module 16 is used to perform a balanced optimization of the charging control scheme based on N electric energy storage capacities, N storable electric energy capacities, Q electric energy capacities to be supplemented, Q energy management areas to be controlled, P supportable electric energy capacities and P supportable energy management areas to obtain an optimal bidirectional charging control scheme;

[0098] The bidirectional charging control module 17 is used to perform bidirectional charging control on the Q energy management areas to be controlled in the target area according to the optimal bidirectional charging control scheme.

[0099] Furthermore, the automobile information obtaining module 13 is used to execute the following method:

[0100] At the current moment, the MCU chip of the charging station is used to detect the CP signals of multiple charging stations in N energy management areas to obtain N CP signal detection result sets;

[0101] Determine whether the N CP signal detection result sets meet a preset level threshold, and if so, set the state of the controllable electric vehicle in the corresponding charging station to a charging state;

[0102] If not, the state of the controllable electric vehicle in the corresponding charging station is set to the energy supply state.

[0103] Furthermore, the control scheme generating module 16 is used to execute the following method:

[0104] According to the Q energy management areas to be controlled, the N storable electric energy capacities are matched to obtain Q storable electric energy capacities to be controlled;

[0105] The Q storable electric energy capacities of the controllable electric vehicles in the Q energy management areas to be controlled in the charging control scheme are set to be less than the Q storable electric energy capacities to be controlled as the first charging control constraint condition;

[0106] The loss of calling electric energy from P supported energy management areas in the charging control scheme is lower than a preset electric energy loss threshold, and is set as a second charging control constraint condition;

[0107] A charging control scheme is balanced and optimized according to the first charging control constraint condition and the second charging control constraint condition.

[0108] Furthermore, the control scheme generating module 16 is used to execute the following method:

[0109] Randomly select one electric energy capacity to be supplemented and one corresponding energy management area to be controlled from the Q electric energy capacities to be supplemented and the Q energy management areas to be controlled as the first electric energy capacity to be supplemented and the first energy management area to be controlled;

[0110] Calculate the difference between the first electric energy capacity to be supplemented and the first storable electric energy capacity to be controlled to obtain a first valley value of the capacity to be supplemented;

[0111] Determine whether the P supported electric energy capacities are greater than the first required supplement capacity valley value, and if so, add the corresponding P supported energy management areas to the first initial to-be-called area set, wherein the first initial to-be-called area set is the initial external area where the first to-be-controlled energy management area can meet the electric energy demand;

[0112] According to the charging station layout information, traverse and calculate the interval distances between the first set of areas to be called and the first energy management area to be controlled to obtain a first set of interval distances;

[0113] Calculate the power loss according to the first interval distance set to obtain a first power loss set;

[0114] The first electric energy loss set is screened based on the second charging control constraint condition, and a first to-be-called area set is obtained according to the screening result.

[0115] Furthermore, the control scheme generating module 16 is used to execute the following method:

[0116] Generate a plurality of first charging control schemes according to the first electric energy capacity to be supplemented, the first set of areas to be called, and the first set of controllable electric vehicle information, wherein the first charging control scheme includes the first called electric vehicle information and the first called area set information;

[0117] Performing loss analysis on a plurality of first charging control schemes using a charging control loss analysis module to obtain a plurality of first loss amounts;

[0118] Obtaining an initial first charging control scheme according to the plurality of first loss analysis results, wherein the initial first loss amount corresponding to the initial charging control scheme is a minimum value among the plurality of first loss analysis results;

[0119] A first adjustment scale is set according to the initial first loss amount, the initial first charging control scheme is randomly adjusted according to a preset adjustment method according to the first adjustment scale, and the adjustment process is constrained according to the first charging control constraint condition to obtain an initial first adjusted charging control scheme set, wherein the preset adjustment method is to adjust the electric energy capacity called from the electric vehicle and adjust the area called from the first set of areas to be called.

[0120] Furthermore, the control scheme generating module 16 is used to execute the following method:

[0121] Using a charging control loss analysis module to obtain a first loss amount set of the initial first adjusted charging control scheme set, and generate an updated first charging control scheme;

[0122] The first adjustment scale is updated according to the first loss amount corresponding to the updated first charging control scheme, and iterative optimization is performed according to the updated first adjustment scale until a preset number of iterations is reached, and the charging control scheme corresponding to the smallest first loss amount in the optimization process is used as the first optimal bidirectional charging control scheme;

[0123] According to the Q electric energy capacities to be supplemented and the Q energy management areas to be controlled, Q optimal bidirectional charging control schemes are obtained, and combined with the first optimal bidirectional charging control scheme, an optimal bidirectional charging control scheme is obtained.

[0124] Furthermore, the control scheme generating module 16 is used to execute the following method:

[0125] A loss calculation formula is embedded in the charging control loss analysis module, wherein the loss calculation formula is:

[0126]

[0127] Where L is the fitness, σ1 is the proportion of the loss of electric vehicles transmitting electricity to the charging station in the energy management area to be controlled in the calculation of the loss amount, σ2 is the proportion of the line loss when the energy management area to be controlled calls the electric energy to the collection of the areas to be called in the calculation of the loss amount, σ1+σ2=1, n1 is the total number of electric vehicles transmitting electricity to the energy management area to be controlled, n2 is the number of areas to be called that transmit electricity to the energy management area to be controlled, U 1i is the battery voltage of the ith electric vehicle that transmits power, U 2i is the voltage of the i-th charging pile receiving power transmission, I 2i is the current of the i-th charging pile receiving power transmission, x i is the number of battery cycles of the ith electric vehicle that transmits power, is the average number of cycles of the electric vehicle battery in the charging station where the i-th electric vehicle is located for power transmission, ε is the transmission line loss per unit length, l j is the length of the transmission line between the jth area to be called that transmits electric energy to the energy management area to be controlled and the energy management area to be controlled.

[0128] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. Other embodiments are within the scope of the attached claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0129] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0130] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A bidirectional charging control method for energy management, characterized in that: The method comprises: Acquiring charging station layout information of a target area, and generating the charging station layout information by collecting location coordinates of all charging stations set in the target area; Gridding the charging station layout information based on the power grid trunk line in the target area to obtain N energy management areas, each of which includes multiple charging stations; Traversing the N energy management areas, collecting information of controllable electric vehicles in the areas, and generating N sets of information of controllable electric vehicles, wherein the information of controllable electric vehicles includes states of controllable electric vehicles and battery cycle data of electric vehicles; Determining N estimated supplied electric energy capacities and N storable electric energy capacities of N energy management areas in combination with the N controllable electric vehicle information sets; Collect N electric energy storage capacities of N energy management areas at the current moment, and determine in turn whether the N electric energy storage capacities meet the N expected supply electric energy capacities. If not, calculate the electric energy capacity to be supplemented and generate Q electric energy capacities to be supplemented. If satisfied, calculate the difference and generate P supportable electric energy capacities, wherein the Q electric energy capacities to be supplemented correspond to the Q energy management areas to be controlled, and the P supportable electric energy capacities correspond to the P supportable energy management areas; Based on N estimated supply power capacities, N storable power capacities, Q power capacities to be supplemented, Q energy management areas to be controlled, P supportable power capacities and P supportable energy management areas, a charging control scheme is balanced and optimized to obtain an optimal bidirectional charging control scheme; Perform bidirectional charging control on Q energy management areas to be controlled within the target area according to the optimal bidirectional charging control scheme; Generate multiple first charging control schemes according to the first electric energy capacity to be supplemented, the first set of areas to be called, and the first set of controllable electric vehicle information, wherein the first charging control scheme includes the first called electric vehicle information and the first called area set information; Performing loss analysis on a plurality of first charging control schemes using a charging control loss analysis module to obtain a plurality of first loss amounts; Obtaining an initial first charging control scheme according to the multiple first loss amounts, wherein the initial first loss amount corresponding to the initial first charging control scheme is a minimum value among the multiple first loss amounts; A first adjustment scale is set according to the initial first loss amount, the initial first charging control scheme is randomly adjusted according to a preset adjustment method according to the first adjustment scale, and the adjustment process is constrained according to a first charging control constraint condition to obtain an initial first adjusted charging control scheme set, wherein the preset adjustment method is to adjust the electric energy capacity called from the electric vehicle and to adjust the area called from the first set of areas to be called; Using a charging control loss analysis module to obtain a first loss amount set of the initial first adjusted charging control scheme set, and generate an updated first charging control scheme; The first adjustment scale is updated according to the first loss amount corresponding to the updated first charging control scheme, and iterative optimization is performed according to the updated first adjustment scale until a preset number of iterations is reached, and the charging control scheme corresponding to the smallest first loss amount in the optimization process is used as the first optimal bidirectional charging control scheme; Obtaining Q optimal bidirectional charging control schemes according to the Q electric energy capacities to be supplemented and the Q energy management areas to be controlled, and obtaining an optimal bidirectional charging control scheme in combination with the first optimal bidirectional charging control scheme; A loss calculation formula is embedded in the charging control loss analysis module, wherein the loss calculation formula is: ； in, For fitness, It is the proportion of the loss of electric vehicle in transmitting power to the charging pile in the energy management area to be controlled in the calculation of loss amount. It is the proportion of line loss when the energy management area to be controlled collectively calls the electric energy to the area to be called in the loss calculation. , The total number of electric vehicles delivering electricity to the energy management area to be controlled, The number of areas to be called to deliver power to the energy management area to be controlled, is the battery voltage of the ith electric vehicle that transmits power, is the voltage of the i-th charging pile receiving power transmission, is the current of the i-th charging pile receiving power transmission, is the transmission line loss per unit length, is the length of the transmission line between the jth area to be called that transmits electric energy to the energy management area to be controlled and the energy management area to be controlled.

2. The method according to claim 1, characterized in that The method further comprises: At the current moment, the MCU chip of the charging pile is used to detect the CP signals of multiple charging stations in N energy management areas to obtain N CP signal detection result sets; Determine whether the N CP signal detection result sets meet a preset level threshold, and if so, set the state of the controllable electric vehicle in the corresponding charging station to a charging state; If not, the state of the controllable electric vehicle in the corresponding charging station is set to the energy supply state.

3. The method according to claim 1, characterized in that The method further comprises: performing balanced optimization of charging control schemes based on N estimated supply power capacities, N storable power capacities, Q power capacities to be supplemented, and Q energy management areas to be controlled to obtain an optimal bidirectional charging control scheme. According to the Q energy management areas to be controlled, the N storable electric energy capacities are matched to obtain Q storable electric energy capacities to be controlled; The Q called storable electric energy capacities of the controllable electric-controlled vehicles in the Q energy management areas to be controlled in the charging control scheme are set to be less than the Q storable electric energy capacities to be controlled as the first charging control constraint condition; The loss of calling electric energy from the P supported energy management areas in the charging control scheme is lower than a preset electric energy loss threshold, and is set as a second charging control constraint condition; A charging control scheme is balanced and optimized according to the first charging control constraint condition and the second charging control constraint condition.

4. The method according to claim 3, characterized in that The method further comprises: Randomly selecting one electric energy capacity to be supplemented and one energy management area to be controlled from the Q electric energy capacities to be supplemented and the Q energy management areas to be controlled as the first electric energy capacity to be supplemented and the first energy management area to be controlled; Calculate the difference between the first electric energy capacity to be supplemented and the first storable electric energy capacity to be controlled to obtain a first valley value of the capacity to be supplemented; Determine whether the P supported electric energy capacities are greater than the first required supplement capacity valley value, and if so, add the corresponding P supported energy management areas to the first initial to-be-called area set, wherein the first initial to-be-called area set is the initial external area where the first to-be-controlled energy management area can meet the electric energy demand; According to the charging station layout information, traverse and calculate the interval distances between the first initial area set to be called and the first energy management area to be controlled to obtain a first interval distance set; Calculate the power loss according to the first interval distance set to obtain a first power loss set; The first electric energy loss set is screened based on the second charging control constraint condition, and a first to-be-called area set is obtained according to the screening result.

5. A bidirectional charging control system for energy management, characterized in that: The system is used to implement a bidirectional charging control method for energy management according to any one of claims 1 to 4, and the system comprises: A layout information acquisition module, the layout information acquisition module is used to obtain the layout information of the charging stations in the target area, and generate the layout information of the charging stations by collecting the location coordinates of all the charging stations set in the target area; An energy management area acquisition module, the energy management area acquisition module is used to grid the charging station layout information based on the power grid trunk line in the target area to obtain N energy management areas, each of which contains multiple charging stations; A vehicle information acquisition module, the vehicle information acquisition module is used to traverse the N energy management areas, collect information of controllable electric vehicles in the areas, and generate N sets of controllable electric vehicle information, wherein the controllable electric vehicle information includes controllable electric vehicle status and electric vehicle battery cycle data; An electric energy capacity determination module, the electric energy capacity determination module is used to determine N estimated supply electric energy capacities and N storable electric energy capacities of N energy management areas in combination with the N controllable electric vehicle information sets; A management area generation module, the management area generation module is used to collect N electric energy storage capacities of N energy management areas at the current moment, and determine in turn whether the N electric energy storage capacities meet the N expected supply electric energy capacities. If not, calculate the electric energy capacity to be supplemented, and generate Q electric energy capacities to be supplemented. If satisfied, calculate the difference, and generate P supportable electric energy capacities, wherein the Q electric energy capacities to be supplemented correspond to the Q energy management areas to be controlled, and the P supportable electric energy capacities correspond to the P supportable energy management areas; A control scheme generation module, wherein the control scheme generation module is used to perform a balanced optimization of the charging control scheme based on N electric energy storage capacities, N storable electric energy capacities, Q electric energy capacities to be supplemented, Q energy management areas to be controlled, P supportable electric energy capacities and P supportable energy management areas to obtain an optimal bidirectional charging control scheme; A bidirectional charging control module is used to perform bidirectional charging control on Q energy management areas to be controlled within a target area according to the optimal bidirectional charging control scheme.

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