Charging and discharging management system, control method and charging station

Abstract

The invention discloses a charging and discharging management system, a control method and a charging station, and relates to the technical field of new energy charging, and the system specifically comprises an energy storage module which comprises an energy storage bag; the energy supplementing module comprises a natural energy power generation module; the discharging module comprises a charging pile; the AI prediction module comprises a weather forecast module; a power grid connection module; the control module is electrically connected with the energy storage module, the energy supplement module, the discharge module, the AI prediction module and the power grid connection module and is used for information communication and instruction control among the modules; according to the charging and discharging management system, the control method and the charging station, the decommissioned power battery serves as the energy storage module and is used for pre-energy storage of the charging station, the load influence of fast charging on a power grid is reduced, the utilization rate of the decommissioned power battery is increased, meanwhile, natural energy is utilized for power generation, power grid energy consumption is reduced, and the using economical efficiency of an electric vehicle is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy charging, and more specifically, to a charge and discharge management system, a control method, and a charging station. Background Art

[0002] At present, the well-known public charging stations for electric vehicles adopt in-network charging. With the development of fast charging technology, the charging power of electric vehicles is getting larger and larger, seriously increasing the instantaneous load of the power grid and causing uneven power consumption in the region. Moreover, the peak charging time of users overlaps highly with the peak power consumption time of the power grid, so the charging cost remains high, resulting in an increase in the usage cost of electric vehicle users. At the same time, with the increase in the ownership and service life of electric vehicles, the power batteries inside the electric vehicles show performance degradation with their calendar life, and the number of retired power battery packs will increase year by year. If not properly handled, it will cause waste of social resources and environmental pollution. In summary, how to provide a charge and discharge management system is an urgent problem for those skilled in the art at present. Summary of the Invention

[0003] In view of this, an object of the present invention is to provide a charge and discharge management system. By using retired power batteries as energy storage modules for pre-storing energy in the charging station, it reduces the load impact of fast charging on the power grid, improves the utilization rate of retired power batteries, and at the same time uses natural energy to generate electricity, reduces the energy consumption of the power grid, and improves the economy of electric vehicle use.

[0004] Another object of the present invention is to provide a control method applied to the above charge and discharge management system, which can effectively increase the utilization rate of natural energy generation, reduce the power consumption of the power grid, and improve the economy of electric vehicle use.

[0005] Another object of the present invention is to provide a charging station including the charge and discharge management system and / or the control method, which has the same technical features and can achieve the same technical effects.

[0006] In order to achieve the above objects, the present invention provides the following technical solutions: A charge and discharge management system includes: An energy storage module, including an energy storage pack, for storing electric energy; An energy replenishment module, including a natural energy generation module, for converting natural energy into electric energy for replenishing the energy storage module; A discharge module, including a charging pile, for delivering the electric energy in the energy storage module and / or the electric energy of the power grid to users through a control module; The AI prediction module includes a weather forecast module, which is used to obtain the predicted power generation of the natural energy power generation module by predicting the intensity and effective time of natural energy for the natural energy power generation module to work within a set future time period; and to statistically analyze the historical charge-discharge energy data of the charging pile to obtain a data model of the time and predicted discharge energy of the charging pile, which is used to upload the surplus electric energy in the energy storage module exceeding the predicted discharge energy and the predicted power generation of the natural energy power generation module to the power grid. The grid connection module is used for the electric energy interaction between the energy storage module and the power grid; the control module is electrically connected to the energy storage module, the energy replenishment module, the discharge module, the AI prediction module and the grid connection module, and is used for information communication and instruction control between each module.

[0007] Preferably, the energy replenishment module further includes a V2G power station, which is used to convert the electric energy of users for replenishing the energy storage module.

[0008] Preferably, the energy storage module further includes an energy storage pack monitoring module, which is used to detect the calendar life and cumulative cycle times of different battery cells in the energy storage pack, and to control the single-time replenishment energy and discharge energy of different battery cells through the control module.

[0009] Preferably, the AI prediction module further includes a user usage prediction module, which is used to predict the peak usage time of users. The charge-discharge management system further includes a clock module, which is electrically connected to the control module, and the control module is used to control the energy storage module to replenish energy to a preset energy storage amount before the peak usage time.

[0010] A control method is applied to the charge-discharge management system described in any one of the above, and includes a charging method. The charging method includes the steps of: Controlling the AI prediction module to obtain the historical charge-discharge energy data of the charging pile to obtain a data model of the time and predicted discharge energy of the charging pile; Controlling the clock module to obtain the current time T2; Comparing the data model to obtain the predicted discharge energy Px corresponding to the time point of T2+X; Controlling the AI prediction module to obtain the predicted replenishment energy Py of the energy replenishment module before the time point of T2+X, and controlling the energy storage module to obtain the current energy storage amount P of the energy storage module; Judging whether Py+P is greater than Px; If so, controlling the energy storage module to upload the electric energy of Py+P-Px to the power grid and sell it in the form of a virtual power plant, and returning to the step of obtaining the current time. If the answer is no, control the energy storage module to supplement the electrical energy of the part Px - Py - P from the power grid, and return to the step of obtaining the current time.

[0011] A control method is applied to the charge and discharge management system described in any one of the above, including a charging method; The charging method includes the steps: Control the energy storage module to monitor whether the current stored energy P inside it is greater than the preset stored energy P0; If the answer is yes, control the energy storage module to upload the stored energy of the part P - P0 to the power grid through the power grid connection module; If the answer is no, control the AI prediction module to predict whether the theoretical time T1 for the energy supplement module to supplement to the preset stored energy P0 is earlier than the user's preset usage time T0; If the answer is yes, then control the energy supplement module to supplement the energy storage module to the preset stored energy P0; If the answer is no, then control the energy supplement module and the power grid connection module to supplement the energy storage module to the preset stored energy P0 at the same time.

[0012] Preferably, if the answer is yes, controlling the energy storage module to upload the stored energy of the part P - P0 to the power grid through the power grid connection module includes the steps: Control the AI prediction module to predict the theoretical energy supplement P1 of the energy supplement module before the preset usage time T0; Control the energy storage package monitoring module in the energy storage module to monitor the current stored energy P of the energy storage package; Control the energy storage module to upload the electrical energy of P - P0 and the electrical energy of P1 to the power grid.

[0013] Preferably, controlling the AI prediction module to predict the theoretical energy supplement P1 of the energy supplement module before the preset usage time T0 includes the steps: Control the weather forecast module in the AI prediction module to forecast the intensity of natural energy and the effective working time T3; Control the user usage prediction module in the AI prediction module to predict the user's preset usage time T0; Control the clock module to obtain the current time T2; Calculate the overlapping time T4 between T3 and the time from T2 to T0; Calculate the theoretical energy supplement P1 of the energy supplement module within the overlapping time T4.

[0014] Preferably, if the answer is no, then controlling the energy supplement module and the power grid connection module to supplement the energy storage module to the preset stored energy P0 at the same time includes the steps: Control the clock module to obtain the current time T2; Determine whether the current time T2 is within the valley power time of the power grid; If so, increase the charging power for charging through the power grid connection module; If not, decrease the charging power for charging through the power grid connection module.

[0015] A charging station includes the charge and discharge management system described in any one of the above and / or applies the control method described in any one of the above.

[0016] Compared with the prior art, the charge and discharge management system provided by the present invention has at least the following beneficial effects: 1. Reuse retired power batteries as energy storage packs for charging stations to pre-store electric energy, reducing the impact on the power grid load during fast charging of electric vehicles; 2. Use natural energy generation to charge the energy storage pack, reducing the amount of power grid charging and improving the economic efficiency of using electric vehicles; 3. Add a prediction system. By predicting the effective charging energy of the natural energy generation module, reasonably allocate the power grid charging energy, ensure that the stored energy in the energy storage pack is at the economic energy storage value, and can sell the electric energy exceeding the economic energy storage value back to the power grid, further improving the working efficiency and return rate of the charging station.

[0017] The control method provided by the present invention is applied to the above charge and discharge management system and can achieve the same beneficial effects.

[0018] The charging station provided by the present invention includes the above charge and discharge management system and / or control method and can achieve the same beneficial effects. Description of the Drawings

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0020] Figure 1 It is a schematic diagram of the charge and discharge management system provided by the present invention; Figure 2 It is a schematic diagram of the first embodiment of the charging method provided by the present invention; Figure 3 It is a schematic diagram of the discharging method provided by the present invention; Figure 4 It is a schematic diagram of the second embodiment of the charging method provided by the present invention.

[0021] In the figure: 1. Control module; 2. Energy supplement module; 3. Discharge module; 4. Grid connection module; 5. Clock module; 6. AI prediction module; 7. Energy storage module; 8. Temperature control module; 9. Broadcast module. Detailed implementation manners

[0022] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0023] The core of the present invention is to provide a charge and discharge management system. By using retired power batteries as the energy storage module for pre-storing energy in the charging station, the load impact of fast charging on the power grid is reduced, and the utilization rate of retired power batteries is improved. At the same time, natural energy is used for power generation to reduce the energy consumption of the power grid and improve the economy of electric vehicle use.

[0024] Another core of the present invention is to provide a control method applied to the above charge and discharge management system, which can effectively increase the utilization rate of natural energy power generation, reduce the power consumption of the power grid, and improve the economy of electric vehicle use.

[0025] Another core of the present invention is to provide a charging station including a charge and discharge management system and / or applying any one of the above control methods, which has the same technical features and can achieve the same technical effects.

[0026] Please refer to Figure 1 , a charge and discharge management system, including: The energy storage module 7 includes an energy storage package for storing electric energy; The energy supplement module 2 includes a natural energy power generation module for converting natural energy into electric energy to supplement the energy storage module 7; The discharge module 3 includes a charging pile for delivering the electric energy in the energy storage module 7 and / or the electric energy of the power grid to users through the control module 1; The AI prediction module 6 includes a weather forecast module for obtaining the predicted power generation of the natural energy power generation module by predicting the natural energy intensity and effective time of the natural energy power generation module working within a set future time period; and statistically analyzing the historical charge and discharge energy data of the charging pile to obtain a data model of the time and predicted discharge energy of the charging pile for uploading the remaining electric energy in the energy storage module 7 exceeding the predicted discharge energy and the predicted power generation of the natural energy power generation module to the power grid; The grid connection module 4 is used for the electrical energy interaction between the energy storage module 7 and the grid; the control module 1 is electrically connected to the energy storage module 7, the energy replenishment module 2, the discharge module 3, the AI prediction module 6 and the grid connection module 4, and is used for information communication and instruction control between each module.

[0027] As Figure 1 shown, the energy replenishment module 2, the discharge module 3, the grid connection module 4, the clock module 5, the AI prediction module 6, the energy storage module 7, the temperature control module 8 and the broadcast module 9 are respectively electrically connected to the control module 1, and each module is electrically controlled and adjusted through the control module 1 to realize the coordinated operation of each module; In some embodiments, the energy replenishment module further includes a V2G power station for converting the electrical energy of users to replenish the energy storage module 7.

[0028] The energy replenishment module 2 includes a natural energy power generation module and a V2G power station. The natural energy power generation module includes at least one of a wind power generation module, a solar power generation module and a tidal power generation module. The V2G power station has the ability to replenish the electrical energy in the electric vehicle power battery into the energy storage module 7, and can also replenish the electrical energy in the energy storage module 7 into the electric vehicle power battery; The discharge module 3 includes a charging pile charging module for charging the power battery of an electric vehicle. Similarly, the discharge module 3 also includes the remaining electricity consumption of the charging station, such as the lighting and air conditioning in the lounge, and can also be used as the living electricity of nearby residents or the production electricity of factories; The grid connection module 4 can effectively connect the charging station to the grid. It can not only use the grid to replenish the charging station, but also sell the electrical energy in the charging station to the grid. For example, during valley electricity, the grid is used to replenish the energy storage module 7, and during peak electricity, the electrical energy in the energy storage module 7 is sold to the grid, thereby helping the grid to cut peaks and fill valleys and improving the economic benefits of the charging station; The AI prediction module 6 includes a weather forecast module and a user usage prediction module. The weather forecast module can be directly connected to a professional weather forecast website to obtain the weather conditions within a future time period, including but not limited to light intensity, sunrise and sunset time, wind force level, start and end time of wind, tide level and tide law, etc. By predicting the above parameters, the effective power generation time of the natural energy power generation module within a future time period can be calculated. Combining the judgment of the current time by the clock module 5, the theoretical replenishment energy of the natural energy power generation module before a specific time can be accurately predicted, providing a data reference for the electrical energy regulation in the energy storage module 7. For example, if it is predicted that the theoretical replenishment energy of natural energy within a future time period is relatively high, the energy stored in the energy storage module 7 can be sold to the grid in advance to reserve storage space for the replenishment of natural energy and improve the economic benefits of the charging station; The AI prediction module 6 can statistically analyze the historical charge and discharge energy data of the charging pile to obtain a data model regarding the time and predicted discharge energy of the charging pile, that is, it can obtain the predicted discharge energy of the charging pile within a fixed time interval after a specific time point. Therefore, when regulating the energy of the energy storage module 7, it is necessary to ensure that the internal energy storage is not less than the predicted discharge energy at a specific time point. Thus, the AI prediction module 6 can predict the predicted power generation of the natural energy power generation module before a specific time point. If the sum of the predicted power generation and the current energy storage in the energy storage module 7 exceeds the predicted discharge energy, the excess part is uploaded to the power grid, and the power sales transaction is completed in the form of a virtual power plant to improve the economic efficiency of the charging station; If the sum of the predicted power generation and the current energy storage in the energy storage module 7 is lower than the predicted discharge energy, the insufficient part is supplemented by the power grid to meet the normal discharge energy demand of the charging pile.

[0029] At the same time, the user usage prediction module statistically analyzes the past user usage habits, records and analyzes the peak periods of user usage, so as to provide data reference for the power regulation in the energy storage module 7. For example, before the peak period of user usage, the energy in the energy storage module 7 is supplemented to the optimal economic energy storage capacity through the energy replenishment module 2 or the power grid connection module 4 for users to use. When the time passes the peak period of user usage, the electric energy in the energy storage module 7 can be sold to the power grid until the internal energy storage value reaches the lowest safe energy storage limit value, and then rely on the natural energy power generation module in the energy replenishment module 2 to replenish energy, thereby improving the economic efficiency of the charging station.

[0030] In some embodiments, the energy storage module 7 further includes an energy storage pack monitoring module for detecting the calendar life and cumulative cycle times of different battery cells in the energy storage pack, and controlling the single - time energy replenishment and discharge energy of different battery cells through the control module 1.

[0031] The energy storage module 7 further includes an energy storage pack monitoring module for detecting the calendar life and cumulative cycle times of different battery cells in the energy storage pack, and controlling the single - time energy replenishment and discharge energy of different battery cells through the control module 1.

[0032] The AI prediction module 6 further includes a user usage prediction module for predicting the peak usage time of users; The charge - discharge management system further includes a clock module 5. The clock module 5 is electrically connected to the control module 1, and through the control module 1, it controls the energy storage module 7 to replenish energy to the preset energy storage capacity before the peak usage time.

[0033] The energy storage module 7 includes an energy storage pack and an energy storage pack monitoring module. The energy storage pack includes several groups of battery cells, and different battery cells all have the ability to store electrical energy. The energy storage pack monitoring module is used to monitor the cycle times and calendar life of different battery cells to calculate the health status of different battery cells, and then through the control module 1, the stored electrical energy of the battery cells in the energy storage pack is allocated. For example, the electrical energy is preferentially stored in the battery cells with a health status higher than the average health status, that is, the battery cells with high health status are preferentially used. After long-term use, the consistency of the health status of the battery cells can be improved; or the electrical energy is preferentially stored in the battery cells with a health status lower than the average health status, that is, the battery cells with low health status are preferentially used. After long-term use, when the health status of the battery cells is lower than the minimum safe health status, they can be replaced to ensure the optimal energy storage performance of the energy storage module 7.

[0034] In some embodiments, it further includes a temperature control module 8, and the temperature control module 8 is electrically connected to the control module 1; The temperature control module 8 includes an energy storage pack temperature control module and a charging pile temperature control module. The energy storage pack temperature control module is used for the temperature control management of the energy storage module 7, and the charging pile temperature control module is used for the temperature control management of the discharge module 3.

[0035] The temperature control module 8 includes an energy storage pack temperature control module and a charging pile temperature control module. When the energy storage pack stores or releases energy, it will generate a large amount of heat by itself. The monitoring system and refrigeration system in the energy storage pack temperature control module can perform closed-loop control on the refrigeration equipment of the energy storage pack to ensure that the energy storage pack is always in a safe and efficient working environment, so as to improve the working performance of the energy storage module 7; At the same time, when the charging module of the charging pile or the V2G power station is working, there is also a high-temperature situation. The monitoring system and refrigeration system in the charging pile temperature control module can perform closed-loop control on the refrigeration equipment of the charging module of the charging pile or the V2G power station to ensure that the charging module of the charging pile or the V2G power station is always in a safe and efficient working environment, so as to improve the working performance of the charging module of the charging pile or the V2G power station.

[0036] The broadcast module 9 includes network broadcasts, such as using the official account or in-app notifications of the APP to broadcast preferential information, attracting users to charge during off-peak hours, or changing the peak usage time of users, so that the electrical energy obtained by users comes more from the natural energy generation module, that is, reducing the energy supplement of the charging station from the power grid, and thus improving the economic benefits of the charging station.

[0037] In addition to the charge and discharge management system disclosed in each of the above embodiments, the present invention also provides a control method applied to the above charge and discharge management system, including a charging method; As Figure 4 shown, the charging method includes the steps: The control AI prediction module 6 obtains the historical charge and discharge energy data of the charging pile and obtains a data model about the time and predicted discharge energy of the charging pile; The control clock module 5 obtains the current time T2; Compare the data model to obtain the predicted energy release amount Px corresponding to the time point T2 + X; Control the AI prediction module 6 to obtain the predicted energy replenishment amount Py of the energy replenishment module 2 before the time point T2 + X, and control the energy storage module to obtain the current energy storage amount P of the energy storage module 7; Judge whether Py + P is greater than Px; If yes, control the energy storage module 7 to upload the electric energy of Py + P - Px to the power grid, sell it in the form of a virtual power plant, and return to the step of obtaining the current time; If not, control the energy storage module 7 to replenish the electric energy of Px - Py - P from the power grid, and return to the step of obtaining the current time.

[0038] It should be noted that the steps of controlling the AI prediction module 6 to obtain the historical charge and discharge energy data of the charging pile and obtaining the data model of the time and predicted energy release amount of the charging pile should be repeated after a fixed time period for data model iteration to ensure that the data model conforms to the actual charge and discharge energy conditions of the charging pile.

[0039] Through the AI prediction module 6, the data model of the time and predicted discharge amount of the charging pile is made, which is convenient for pre-regulating the energy storage in the energy storage module 7, so that the electric energy can be fully utilized and the maximum economic benefit can be generated.

[0040] In addition to the charge and discharge management system disclosed in each of the above embodiments, the present invention also provides a control method applied to the above charge and discharge management system, including a charging method and a discharging method; As Figure 2 shown, the charging method includes the steps: Control the energy storage module 7 to monitor whether the current energy storage amount P inside it is greater than the preset energy storage amount P0; If yes, control the energy storage module 7 to upload the energy storage of P - P0 to the power grid through the power grid connection module 4; If not, control the AI prediction module 6 to predict whether the theoretical time T1 for the energy replenishment module 2 to replenish the energy to the preset energy storage amount P0 is earlier than the user's preset usage time T0; If yes, control the energy replenishment module 2 to replenish the energy storage module 7 to the preset energy storage amount P0; If not, control the energy replenishment module 2 and the power grid connection module 4 to replenish the energy storage module 7 to the preset energy storage amount P0 at the same time; As Figure 3 shown, the discharging method includes the steps: Control the energy storage module 7 to monitor whether the energy storage amount P inside it is greater than the minimum safety energy storage amount Pmin; If it is yes, control the discharge module 3 to transmit the electric energy of the energy storage module 7 to the user side; If it is no, control the discharge module 3 to transmit the electric energy of the power grid connection module 4 to the user side.

[0041] As Figure 2 shown, before charging, detect the current stored energy P in the energy storage module 7. When the internal stored energy is higher than the preset stored energy P0, upload the excess electric energy for sale to the power grid to obtain profits and ensure that there is sufficient electric energy in the energy storage module 7 for user use; If the electric energy in the energy storage module 7 does not reach the preset stored energy P0, calculate the theoretical practice T1 for the energy replenishment module 2 to replenish the energy to the preset stored energy P0, and determine whether T1 is earlier than the user's preset usage time T0, that is, determine whether the energy replenishment module 2 can replenish the electric energy in the energy storage module 7 to the preset stored energy P0 before the user's peak usage time. If it can, use the energy replenishment module 2 for replenishment. If not, use the energy replenishment module 2 and the power grid for synchronous replenishment to ensure that the electric energy in the energy storage module 7 is replenished to the preset stored energy P0 before the user's peak usage period, thereby reducing the instantaneous load of the charging station on the power grid and using the energy replenishment module 2 to replenish the energy storage module 7 as much as possible, that is, improving the economic benefits of the charging station.

[0042] As Figure 3 shown, during discharging, detect the internal stored energy P in the energy storage module 7. If the stored energy P is higher than the minimum safety stored energy Pmin, discharge the energy storage module 7 to supply power to the user. If the stored energy P is lower than the minimum safety stored energy Pmin, directly charge the user through the power grid, thereby ensuring the user experience and the safety of the energy storage module 7.

[0043] In some embodiments, if it is yes, control the energy storage module 7 to upload the stored energy of the P - P0 part to the power grid through the power grid connection module 4, including the steps of: Control the AI prediction module 6 to predict the theoretical energy replenishment P1 of the energy replenishment module 2 before the preset usage time T0; Control the energy storage package monitoring module in the energy storage module 7 to monitor the current stored energy P of the energy storage package; Control the energy storage module 7 to upload the electric energy of P - P0 and the electric energy of P1 to the power grid.

[0044] When the stored energy P in the energy storage package is higher than the preset stored energy P0, in addition to uploading the excess P - P0 part to the power grid for sale, the theoretical energy replenishment P1 that the energy replenishment module 2 can generate before the user's preset usage time T0 can also be synchronously uploaded to the power grid for sale, that is, provide a storage space in advance for the energy generated by the energy replenishment module 2, and use the electric energy generated by the energy replenishment module 2 for user use as much as possible to improve the economic benefits of the charging station.

[0045] In some embodiments, controlling the AI prediction module 6 to predict the theoretical energy replenishment amount P1 of the energy replenishment module 2 before the preset usage time T0 includes the steps of: Controlling the weather forecasting module in the AI prediction module 6 to forecast the intensity of natural energy and the effective working time T3; Controlling the user usage prediction module in the AI prediction module 6 to predict the preset usage time T0 of the user; Controlling the clock module 5 to obtain the current time T2; Calculating the overlapping time T4 between T3 and the time from T2 to T0; Calculating the theoretical energy replenishment amount P1 of the energy replenishment module 2 within the overlapping time T4.

[0046] Through the weather forecasting module, predicting the natural energy situation before the preset usage time T0 of the user, including but not limited to light intensity, sunrise and sunset times, wind force levels, start and end times of wind, tide levels, and tide patterns, etc. By predicting the above parameters, the effective working time T3 of the natural energy power generation module within the future time period can be calculated. Combining the current time T2 obtained by the clock module 5, accurately calculating the effective energy replenishment time T4 of the energy replenishment module 2 before the preset usage time T0, and then accurately predicting the theoretical energy replenishment amount P1 of the natural energy power generation module before the preset usage time T0 of the user.

[0047] In some embodiments, if not, then controlling the energy replenishment module 2 and the power grid connection module 4 to simultaneously replenish the energy storage module 7 to the preset energy storage amount P0, including the steps of: Controlling the clock module 5 to obtain the current time T2; Judging whether the current time T2 is in the valley electricity time of the power grid; If so, increasing the energy replenishment power through the power grid connection module 4; If not, decreasing the energy replenishment power through the power grid connection module 4.

[0048] By judging whether the energy replenishment time is in the valley electricity time, changing the power of energy replenishment through the power grid to reduce the energy replenishment amount during peak electricity and increase the energy replenishment amount during valley electricity, thereby replenishing energy for the charging station in a more economical mode, improving the economic benefits of the charging station, and playing a role in peak shaving and valley filling for the power grid.

[0049] In some embodiments, it further includes the steps of: Controlling the broadcast module 9 to broadcast charging preferential information to guide the user to change the preset usage time T0 to increase the overlapping time T4.

[0050] In actual use, the preset usage time T0 by the user is often relatively fixed, while the effective working time T3 of the energy replenishment module 2 is relatively unfixed, resulting in a short overlapping time T4 between T3 and the time from T2 to T0. As a result, most of the electric energy generated by the energy replenishment module 2 is uploaded to the power grid for sale, and the revenue is relatively lower compared to directly selling it to users. Therefore, through methods such as official accounts, APPs, in-station broadcasts, etc., users are notified of preferential charging information, and the preferential time is set after the original preset usage time T0, thereby changing the original preset usage time, selling as much of the electric energy generated by the energy replenishment module 2 to users as possible, reducing the electric energy uploaded to the power grid, and thus improving the overall efficiency of the power grid.

[0051] In addition to the charge-discharge management system and control method disclosed in each of the above embodiments, the present invention also provides a charging station including the above charge-discharge management system and / or control method. For the structures of other parts of this charging station, please refer to the prior art and will not be elaborated herein.

[0052] In this specification, the various embodiments are described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same or similar parts among the various embodiments, reference can be made to each other.

[0053] The above has introduced in detail the charge-discharge management system, control method, and charging station provided by the present invention. Specific examples are used herein to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present invention, several improvements and modifications can still be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims

1. A charge and discharge management system, characterized in that: include: An energy storage module (7), including an energy storage pack, is used for storing electric energy; An energy replenishment module (2) comprises a natural energy power generation module, which is used to convert natural energy into electrical energy to replenish the energy storage module (7); A discharge module (3), comprising a charging pile, used to transmit the electric energy in the energy storage module (7) and / or the electric energy of the power grid to a user through the control module (1); The AI ​​prediction module (6) includes a weather forecast module, which is used to obtain the expected power generation of the natural energy power generation module by predicting the natural energy intensity and effective time of the natural energy power generation module in a future set time period; and to collect historical charging and discharging data of the charging pile to obtain a data model about the time and expected discharge energy of the charging pile, which is used to upload the remaining electric energy in the energy storage module (7) that exceeds the expected discharge energy and the expected power generation of the natural energy power generation module to the power grid; A power grid connection module (4), used for electric energy interaction between the energy storage module (7) and the power grid; A control module (1) is electrically connected to the energy storage module (7), the energy replenishment module (2), the discharge module (3), the AI ​​prediction module (6) and the grid connection module (4) and is used for information communication and command control between the modules.

2. The charge and discharge management system according to claim 1, characterized in that: The energy replenishment module also includes a V2G power station, which is used to convert the user's electric energy to replenish the energy storage module (7).

3. The charge and discharge management system according to claim 1, characterized in that: The energy storage module (7) further comprises an energy storage pack monitoring module, which is used to detect the calendar life and accumulated cycle times of different battery cells in the energy storage pack, and to control the single energy replenishment and release of different battery cells through the control module (1).

4. The charge and discharge management system according to claim 1, characterized in that: The AI ​​prediction module (6) further includes a user usage prediction module for predicting the peak usage time of users; The charge and discharge management system further comprises a clock module (5), the clock module (5) being electrically connected to the control module (1), and controlling the energy storage module (7) to replenish energy to a preset storage energy amount before the peak usage time through the control module (1).

5. A control method, characterized in that: A charge and discharge management system as claimed in any one of claims 1 to 4, comprising a charging method; The charging method comprises the steps of: Controlling the AI ​​prediction module (6) to obtain historical charging and discharging data of the charging pile, and obtaining a data model about the time and expected discharging energy of the charging pile; Control clock module (5) to obtain current time T2; Compare the data model to obtain the estimated release energy Px corresponding to the T2+X time point; Controlling the AI ​​prediction module (6) to obtain the estimated replenishment energy Py of the energy replenishment module (2) before the time point T2+X, and controlling the energy storage module (7) to obtain the current storage energy P of the energy storage module (7); Determine whether Py+P is greater than Px; If yes, control the energy storage module (7) to upload the electric energy of Py+P-Px to the power grid and sell it in the form of a virtual power plant, and return to the step of obtaining the current time; If not, the energy storage module (7) is controlled to replenish the electric energy of the Px-Py-P part from the power grid, and the process returns to the step of obtaining the current time.

6. A control method, characterized in that: A charge and discharge management system as claimed in any one of claims 1 to 4, comprising a charging method; The charging method comprises the steps of: Controlling the energy storage module (7) to monitor whether the current stored energy P inside the energy storage module is greater than a preset stored energy P0; If yes, controlling the energy storage module (7) to upload the energy storage of the P-P0 part to the grid through the grid connection module (4); If not, controlling the AI ​​prediction module (6) to predict whether the theoretical time T1 for the energy replenishment module (2) to replenish energy to the preset energy storage capacity P0 is earlier than the user's preset usage time T0; If yes, controlling the energy replenishment module (2) to replenish the energy storage module (7) to the preset energy storage amount P0; If not, the energy replenishment module (2) and the grid connection module (4) are controlled to simultaneously replenish the energy storage module (7) to the preset energy storage amount P0.

7. The control method according to claim 6, characterized in that: If yes, controlling the energy storage module (7) to upload the energy storage of the P-P0 part to the power grid through the power grid connection module (4) comprises the following steps: Controlling the AI ​​prediction module (6) to predict the theoretical amount of energy replenishment P1 of the energy replenishment module (2) before a preset use time T0; Controlling the energy storage pack monitoring module in the energy storage module (7) to monitor the current storage amount P of the energy storage pack; The energy storage module (7) is controlled to upload the electric energy of P-P0 and the electric energy of P1 to the power grid.

8. The control method according to claim 7, characterized in that: Controlling the AI ​​prediction module (6) to predict the theoretical recharge amount P1 of the recharge module (2) before a preset usage time T0 comprises the following steps: Controlling the weather forecast module in the AI ​​prediction module (6) to forecast the intensity of natural energy and the effective working time T3; Controlling the user usage prediction module in the AI ​​prediction module (6) to predict the user's preset usage time T0; Control the clock module (5) to obtain the current time T2; Calculate the overlapping time T4 between T3 and T2 to T0; The theoretical energy replenishment amount P1 of the energy replenishment module (2) within the overlapping time T4 is calculated.

9. The control method according to claim 8, characterized in that: If not, controlling the energy replenishment module (2) and the grid connection module (4) to simultaneously replenish the energy storage module (7) to the preset energy storage capacity P0, comprising the steps of: Control the clock module (5) to obtain the current time T2; Determine whether the current time T2 is in the off-peak time of the power grid; If yes, increasing the energy replenishment power through the grid connection module (4); If not, the energy replenishment power supplied by the grid connection module (4) is reduced.

10. A charging station, characterized in that: The invention comprises the charge and discharge management system described in any one of claims 1 to 4 and / or applies the control method described in any one of claims 6 to 9.

Images