Charging and discharging management system and charging station

Abstract

The utility model discloses a charging and discharging management system and a charging station, relates to the technical field of new energy charging, and specifically comprises an energy storage module comprising 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 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 utility model relates to new energy charging technical field more specifically, relate to a kind of charge-discharge management system and charging station. BACKGROUND

[0002] At present, the known electric vehicle public charging station uses in-network charging, with the development of fast charging technology, the charging power of electric vehicle is more and more big, seriously increases the instantaneous load of power grid, causes the unbalance of regional power consumption;

[0003] And the peak time of user charging and the peak power consumption time of power grid overlap degree is higher, so the charging cost is high, causes the use cost of electric vehicle user to rise;

[0004] At the same time, with the increase of the possession amount and the service life of electric vehicle, the performance of power battery inside electric vehicle appears attenuation with its calendar life, the retired power battery pack will increase year by year, and if not handled properly, it will cause social resource waste and environmental pollution;

[0005] In summary, how to provide a kind of charge-discharge management system is the problem that the present technical personnel in the field urgently solves. INVENTION CONTENTS

[0006] Therefore, the purpose of the utility model is to provide a kind of charge-discharge management system, by the retired power battery as energy storage module, for the pre-energy storage of charging station, reduce the load influence of fast charging to power grid, and improve the utilization rate of retired power battery, simultaneously utilize natural energy power generation, reduce power grid energy consumption, improve the economy of electric vehicle use.

[0007] Still another purpose of the utility model is to provide a kind of charging station including charge-discharge management system, with same technical features, can realize same technical effect.

[0008] In order to realize the above-mentioned purpose, the utility model provides the following technical scheme:

[0009] A kind of charge-discharge management system, comprising:

[0010] Energy storage module, including energy storage package, for the storage of electric energy;

[0011] Energy supplement module, including natural energy power generation module, for converting natural energy into electric energy to the energy supplement of the energy storage module;

[0012] Discharge module, including charging pile, for delivering the electric energy in the energy storage module and / or the electric energy of power grid to user by control module;

[0013] An AI prediction module, including a weather prediction module, is configured to obtain predicted power generation of the natural energy power generation module by predicting natural energy intensity and effective time of the natural energy power generation module in a future set time period, and to obtain a data model of time and predicted power discharge of the charging pile by counting historical charging and discharging data of the charging pile, so as to upload residual power exceeding the predicted power discharge in the energy storage module and the predicted power generation of the natural energy power generation module to a power grid.

[0014] A power grid connection module is configured to exchange power between the energy storage module and the power grid.

[0015] Preferably, the energy supplement module further comprises a V2G power station configured to convert power of a user to supplement the energy storage module.

[0016] Preferably, the energy storage module further comprises an energy storage pack monitoring module configured to detect calendar life and cumulative cycle times of different battery cells in the energy storage pack, and to control single energy supplement and energy discharge of different battery cells through the control module.

[0017] Preferably, the AI prediction module further comprises a user use prediction module configured to predict peak use time of a user.

[0018] The charging and discharging management system further comprises a clock module electrically connected to the control module and configured to control the energy storage module to supplement power to a preset energy storage amount before the peak use time through the control module.

[0019] A charging station comprising the charging and discharging management system.

[0020] Compared with the prior art, the charging and discharging management system has at least the following beneficial effects:

[0021] 1. Retired power batteries are reused as energy storage packs of the charging station to pre-store power, thereby reducing the load impact of fast charging of electric vehicles on the power grid.

[0022] 2. Natural energy power generation is used to supplement the energy storage packs, thereby reducing power grid supplement power and improving the use economy of electric vehicles.

[0023] 3. A prediction system is added to predict effective supplement power of the natural energy power generation module, reasonably allocate power grid supplement power, ensure that energy storage power in the energy storage pack is at an economic energy storage value, and sell power exceeding the economic energy storage value to the power grid in reverse, thereby further improving the working efficiency and yield of the charging station.

[0024] The charging station provided by the utility model, including above-mentioned charge-discharge management system, can realize same beneficial effect. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical scheme in the embodiments of the utility model or prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description, obviously, the drawings in the following description are only the embodiments of the utility model, and for the ordinary skilled in the art, other drawings can be obtained according to the provided drawings without creative labor.

[0026] Figure 1 It is the schematic diagram of the charge-discharge management system provided by the utility model;

[0027] Figure 2 It is the schematic diagram of the charging method embodiment one provided by the utility model;

[0028] Figure 3 It is the schematic diagram of the discharge method provided by the utility model;

[0029] Figure 4 It is the schematic diagram of the charging method embodiment two provided by the utility model.

[0030] In the drawing:

[0031] 1, control module;2, energy supplement module;3, discharge module;4, power grid connection module;5, clock module;6, AI prediction module;7, energy storage module;8, temperature control module;9, broadcast module. DETAILED DESCRIPTION

[0032] The technical scheme in the embodiments of the utility model will be clearly and completely described below in combination with the drawings in the embodiments of the utility model, obviously, the described embodiments are only a part of the embodiments of the utility model, not all the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by the ordinary skilled in the art without creative labor belong to the protection scope of the utility model.

[0033] The core of the utility model is to provide a kind of charge-discharge management system, by the retired power battery as energy storage module, for the pre-energy storage of charging station, reduce the load influence of fast charging to power grid, and improve the utilization of retired power battery, simultaneously utilize natural energy generation, reduce power grid energy consumption, improve the economy of electric vehicle use.

[0034] Still another core of the utility model is to provide a kind of charging station including charge-discharge management system, with same technical features, can realize same technical effect.

[0035] Please refer toFigure 1 A charge and discharge management system, comprising:

[0036] An energy storage module 7 comprising an energy storage package for storing electrical energy;

[0037] A power supplement module 2 comprising a natural energy power generation module for converting natural energy into electrical energy to supplement the energy storage module 7;

[0038] A discharge module 3 comprising a charging pile for delivering electrical energy in the energy storage module 7 and / or electrical energy from the power grid to users through the control module 1;

[0039] An AI prediction module 6 comprising a weather forecasting module for obtaining 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 in a future set time period, and obtaining a data model about the time and predicted discharge capacity of the charging pile by counting the historical charge and discharge data of the charging pile, for uploading the remaining electrical energy in the energy storage module 7 exceeding the predicted discharge capacity and the predicted power generation of the natural energy power generation module to the power grid;

[0040] A power grid connection module 4 for electrical energy interaction between the energy storage module 7 and the power grid; the control module 1 is electrically connected with the energy storage module 7, the power supplement module 2, the discharge module 3, the AI prediction module 6 and the power grid connection module 4 for information communication and instruction control between the modules.

[0041] As shown in Figure 1 The power supplement module 2, the discharge module 3, the power 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 with the control module 1, and the modules are electrically controlled and adjusted through the control module 1 to realize the cooperative work of the modules;

[0042] In some embodiments, the power supplement module further comprises a V2G power station for converting electrical energy of users to supplement the energy storage module 7.

[0043] The power supplement module 2 comprises a natural energy power generation module and a V2G power station, wherein the natural energy power generation module comprises at least one of a wind power generation module, a solar power generation module and a tidal power generation module, and the V2G power station has the ability to supplement electrical energy in a power battery of an electric vehicle to the energy storage module 7, and also can supplement electrical energy in the energy storage module 7 to the power battery of the electric vehicle;

[0044] The discharge module 3 comprises a charging pile charging module for charging the power battery of the electric vehicle, and also comprises the remaining electricity of the charging station, such as the lighting and air conditioning of the rest room, which can also be used as the living electricity of nearby residents or the production electricity of factories;

[0045] The power grid connection module 4 can effectively connect the charging station with the power grid, so that the charging station can be supplemented by the power grid or the electric energy in the charging station can be sold to the power grid. For example, during off-peak electricity, the power grid can be used to supplement the energy storage module 7, and during peak electricity, the electric energy in the energy storage module 7 can be sold to the power grid, thereby helping the power grid to shave the peak and fill the valley, and improving the economic benefit of the charging station.

[0046] The AI prediction module 6 includes a weather forecasting module and a user usage prediction module. The weather forecasting module can be directly connected to a professional weather forecasting website to obtain weather conditions in a future time period, including but not limited to light intensity, sunrise and sunset time, wind level, wind starting and ending time, tide level and tide law, etc. Through the prediction of the above parameters, the effective power generation time of the natural energy power generation module in the future time period can be calculated. Combined with the judgment of the current time by the clock module 5, the theoretical energy supplement of the natural energy power generation module before a specific time can be accurately predicted, thereby providing data reference for the electric energy regulation of the energy storage module 7. For example, if the theoretical energy supplement of the natural energy in the future time period is high, the electric energy in the energy storage module 7 can be sold to the power grid in advance to reserve storage space for the energy supplement of the natural energy, thereby improving the economic benefit of the charging station.

[0047] The AI prediction module 6 can statistically analyze the historical charging and discharging data of the charging pile to obtain a data model about the time and the predicted discharging energy of the charging pile, i.e., the predicted discharging energy of the charging pile in 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 discharging energy at the specific time point. Therefore, the predicted power generation of the natural energy power generation module before the specific time point can be predicted by the AI prediction module 6. If the sum of the predicted power generation and the current energy storage in the energy storage module 7 exceeds the predicted discharging energy, the excess part can be uploaded to the power grid to complete the electricity trading in the form of a virtual power plant, thereby improving the economy of the charging station.

[0048] If the sum of the predicted power generation and the current energy storage in the energy storage module 7 is less than the predicted discharging energy, the power grid can supplement the insufficient part to meet the normal discharging demand of the charging pile.

[0049] Meanwhile, the user usage prediction module records and analyzes the peak period of user usage by statistically analyzing the past user usage habits, thereby providing data reference for the electric energy regulation of the energy storage module 7. For example, before the peak period of user usage, the electric energy in the energy storage module 7 can be supplemented to the optimal economic energy storage amount by the energy supplement module 2 or the power grid connection module 4 for user usage. When the time has passed 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 is at the minimum safe energy storage limit, and then the natural energy power generation module in the energy supplement module 2 is relied on for energy supplement, thereby improving the economic benefit of the charging station.

[0050] In some embodiments, the energy storage module 7 further comprises an energy storage pack monitoring module for detecting the calendar life and cumulative cycle number of different battery cells in the energy storage pack, and controlling the single energy supplement and discharge energy of different battery cells through the control module 1.

[0051] The energy storage module 7 further comprises an energy storage pack monitoring module for detecting the calendar life and cumulative cycle number of different battery cells in the energy storage pack, and controlling the single energy supplement and discharge energy of different battery cells through the control module 1.

[0052] The AI prediction module 6 further comprises a user usage prediction module for predicting the peak usage time of the user.

[0053] The charge and discharge management system further comprises a clock module 5 electrically connected with the control module 1, which controls the energy storage module 7 to supplement energy to the preset energy storage capacity before the peak usage time through the control module 1.

[0054] The energy storage module 7 comprises an energy storage pack and an energy storage pack monitoring module, wherein the energy storage pack comprises a plurality of groups of battery cells, different battery cells all have the ability to store electrical energy, and the energy storage pack monitoring module is used to monitor the cycle number and calendar life of different battery cells to calculate the health degree of different battery cells, and then the control module 1 is used to distribute the storage electrical energy of the battery cells in the energy storage pack, such as preferentially storing electrical energy in the battery cells with a health degree higher than the average health degree, i.e., preferentially using the battery cells with a high health degree, which can improve the consistency of the health degree of the battery cells after long-term use; or preferentially storing electrical energy in the battery cells with a health degree lower than the average health degree, i.e., preferentially using the battery cells with a low health degree, which can be replaced when the health degree of the battery cells is lower than the minimum safe health degree after long-term use, so as to ensure the optimal energy storage performance of the energy storage module 7.

[0055] In some embodiments, a temperature control module 8 is further included, which is electrically connected with the control module 1.

[0056] The temperature control module 8 comprises an energy storage pack temperature control module and a charging pile temperature control module, the energy storage pack temperature control module is used for temperature control management of the energy storage module 7, and the charging pile temperature control module is used for temperature control management of the discharge module 3.

[0057] The temperature control module 8 comprises an energy storage pack temperature control module and a charging pile temperature control module, wherein the energy storage pack generates a large amount of heat during energy storage or energy discharge, and the monitoring system and refrigeration system in the energy storage pack temperature control module can control the refrigeration equipment of the energy storage pack in a closed loop to ensure that the energy storage pack is always in a safe and efficient working environment, thereby improving the working performance of the energy storage module 7.

[0058] At the same time, the charging pile charging module or the V2G power station also has a high temperature when working, and the monitoring system and the refrigeration system in the charging pile temperature control module can perform closed-loop control on the refrigeration equipment of the charging pile charging module or the V2G power station, so that the charging pile charging module or the V2G power station is always in a safe and efficient working environment, thereby improving the working performance of the charging pile charging module or the V2G power station.

[0059] The broadcast module 9 includes network broadcast, such as public number or APP in-station notification, to broadcast preferential information, attract users to charge at off-peak times, or change the peak use time of users, so that the electric energy obtained by the users is more from the natural energy generation module, that is, the supplement of the charging station from the power grid is reduced, and the economic benefit of the charging station is improved.

[0060] In addition to the charging and discharging management system disclosed in the above embodiments, the utility model also provides a control method applied to the charging and discharging management system, which comprises a charging method;

[0061] As shown in Figure 4 The charging method comprises the following steps:

[0062] The control AI prediction module 6 obtains historical charging and discharging data of the charging pile, and obtains a data model about the time of the charging pile and the predicted discharging capacity;

[0063] The control clock module 5 obtains the current time T2;

[0064] The data model is compared to obtain the predicted discharging capacity Px corresponding to the T2+X time point;

[0065] The control AI prediction module 6 obtains the predicted supplement capacity Py of the supplement module 2 at the T2+X time point, and the control energy storage package monitoring module obtains the current energy storage capacity P of the energy storage module 7;

[0066] It is judged whether Py+P is greater than Px;

[0067] If yes, the control energy storage module 7 uploads the electric energy of Py+P-Px to the power grid in the form of a virtual power plant, sells it, and returns to the step of obtaining the current time;

[0068] If no, the control energy storage module 7 supplements the electric energy of Px-Py-P from the power grid, and returns to the step of obtaining the current time.

[0069] It is worth noting that the step of obtaining the historical charging and discharging data of the charging pile by the control AI prediction module 6 and obtaining the data model about the time of the charging pile and the predicted discharging capacity should be repeatedly executed after a fixed time period, which is used for iteration of the data model, and ensures that the data model is consistent with the actual charging and discharging situation of the charging pile.

[0070] Through the data model making of the charging pile time and the predicted discharge amount by the AI prediction module 6, the energy storage in the energy storage module 7 can be pre-controlled, and then the electric energy can be fully utilized to generate the maximum economic benefit.

[0071] In addition to the charging and discharging management system disclosed in each of the above embodiments, the utility model also provides a control method applied to the charging and discharging management system, including a charging method and a discharging method.

[0072] As shown in the figure, Figure 2 The charging method includes the following steps:

[0073] The energy storage module 7 monitors whether the current energy storage P in it is greater than the preset energy storage P0.

[0074] If yes, the energy storage module 7 uploads the P-P0 part of the energy storage to the power grid through the power grid connection module 4.

[0075] If no, the AI prediction module 6 predicts whether the theoretical time T1 of the energy supplement module 2 supplementing energy to the preset energy storage P0 is earlier than the preset use time T0 of the user.

[0076] If yes, the energy supplement module 2 supplements energy to the energy storage module 7 to the preset energy storage P0.

[0077] If no, the energy supplement module 2 and the power grid connection module 4 supplement energy to the energy storage module 7 to the preset energy storage P0 at the same time.

[0078] As shown in the figure, Figure 3 The discharging method includes the following steps:

[0079] The energy storage module 7 monitors whether the energy storage P in it is greater than the minimum safe energy storage Pmin.

[0080] If yes, the discharging module 3 transmits the electric energy of the energy storage module 7 to the user end.

[0081] If no, the discharging module 3 transmits the electric energy of the power grid connection module 4 to the user end.

[0082] As shown in the figure, Figure 2 Before charging, the current energy storage P in the energy storage module 7 is detected, and when the internal energy storage is higher than the preset energy storage P0, the excess electric energy is uploaded and sold to the power grid to obtain profits and ensure that the energy storage module 7 has enough electric energy for the user to use.

[0083] If the energy in the energy storage module 7 does not reach the preset energy storage amount P0, the theoretical practice T1 of the energy supplement module 2 supplementing the preset energy storage amount P0 is calculated, and it is determined whether T1 is earlier than the preset use time T0 of the user, that is, it is determined whether the energy supplement module 2 can supplement the energy in the energy storage module 7 to the preset energy storage amount P0 before the peak use time of the user. If yes, the energy supplement module 2 is used for energy supplementing, and if no, the energy supplement module 2 and the power grid are used synchronously for energy supplementing, so as to ensure that the energy in the energy storage module 7 is supplemented to the preset energy storage amount P0 before the peak use time of the user, thereby reducing the instantaneous load of the charging station on the power grid, and as much as possible, the energy supplement module 2 is used for supplementing the energy storage module 7, that is, the economic benefit of the charging station is improved.

[0084] As shown in FIG. 1, when discharging, the internal energy P in the energy storage module 7 is detected. If the energy P is higher than the minimum safe energy Pmin, the energy in the energy storage module 7 is discharged for the user to use, and if the energy P is lower than the minimum safe energy Pmin, the user is directly charged by the power grid, thereby ensuring the user experience and ensuring the safety of the energy storage module 7. Figure 3

[0085] In some embodiments, if yes, the energy storage module 7 uploads the P-P0 part of the energy in the energy storage module 7 to the power grid through the power grid connection module 4, including the steps of:

[0086] The AI prediction module 6 predicts the theoretical energy supplement amount P1 of the energy supplement module 2 before the preset use time T0.

[0087] The energy storage package monitoring module in the energy storage module 7 monitors the current energy storage amount P of the energy storage package.

[0088] The energy storage module 7 uploads the P-P0 part of the energy and the P1 part of the energy to the power grid.

[0089] When the energy storage amount P in the energy storage package is higher than the preset energy storage amount P0, in addition to uploading the P-P0 part of the excess energy to the power grid for sale, the theoretical energy supplement amount P1 that can be generated by the energy supplement module 2 before the preset use time T0 of the user is also uploaded to the power grid for sale, that is, the energy generated by the energy supplement module 2 is pre-stored, as much as possible, the energy generated by the energy supplement module 2 is used for the user to use, and the economic benefit of the charging station is improved.

[0090] In some embodiments, the AI prediction module 6 predicts the theoretical energy supplement amount P1 of the energy supplement module 2 before the preset use time T0, including the steps of:

[0091] The weather forecasting module in the AI prediction module 6 forecasts the intensity and effective working time T3 of natural energy.

[0092] The user use forecasting module in the AI prediction module 6 forecasts the preset use time T0 of the user.​

[0093] Control clock module 5, get the current time T2;

[0094] Calculate the overlap time T4 of T3 and T2 to T0;

[0095] Calculate the theoretical energy P1 of the energy supplement module 2 in the overlap time T4.

[0096] Through the weather forecast module, the natural energy situation before the user's preset use time T0 is predicted, including but not limited to light intensity, sunrise and sunset time, wind grade, wind starting and ending time, tide grade and tide law, etc. Through the prediction of the above parameters, the effective working time T3 of the natural energy power generation module in the future time period can be calculated, combined with the current time T2 obtained by the clock module 5, the effective energy supplement time T4 of the energy supplement module 2 before the preset use time T0 is accurately calculated, and the theoretical energy P1 of the natural energy power generation module before the user's preset use time T0 is accurately predicted.

[0097] In some embodiments, if no, control the energy supplement module 2 and the grid connection module 4 to supplement the energy storage module 7 to the preset energy storage amount P0 at the same time, including the steps of:

[0098] Control clock module 5, get the current time T2;

[0099] Determine whether the current time T2 is in the valley electricity time of the grid;

[0100] If yes, increase the energy supplement power through the grid connection module 4;

[0101] If no, reduce the energy supplement power through the grid connection module 4.

[0102] By judging whether the energy supplement time is in the valley electricity time, the power of the energy supplement through the grid is changed to reduce the energy supplement amount of peak electricity and increase the energy supplement amount of valley electricity, thereby supplementing the charging station in a more economical mode and improving the economic benefit of the charging station. The grid plays a role in peak shaving and valley filling.

[0103] In some embodiments, further comprising the steps of:

[0104] Control the broadcast module 9 to broadcast the charging discount information, guide the user to change the preset use time T0, and increase the overlap time T4.

[0105] In actual use, the preset use time T0 of the user is often fixed, and the effective working time T3 of the energy supplementing module 2 is relatively unstable, which leads to a short overlap time T4 between T3 and T2 to T0, and further causes that most of the electric energy generated by the energy supplementing module 2 is sold to the power grid, and the income is lower than that of selling directly to the user, so the user is informed of the preferential charging information through the public number, APP, in-station broadcast and the like, and the preferential time is set after the original preset use time T0, so as to change the original preset use time, sell as much electric energy generated by the energy supplementing module 2 to the user as possible, reduce the electric energy uploaded to the power grid, and further improve the comprehensive benefit of the power grid.

[0106] In addition to the charging and discharging management system disclosed in each of the above embodiments, the utility model also provides a charging station comprising the charging and discharging management system, and the structures of other parts of the charging station refer to the prior art, and will not be described herein.

[0107] Each of the embodiments in the specification is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and the same or similar parts between each embodiment can be referred to each other.

[0108] The charging and discharging management system and the charging station provided by the utility model are described in detail above. The principle and implementation mode of the utility model are described by applying specific examples in the text, and the description of the above embodiments is only used to help understand the method and core idea of the utility model. It should be pointed out that for ordinary skilled persons in the technical field, some improvements and modifications can be made to the utility model without departing from the principle of the utility model, and these improvements and modifications also fall within the protection scope of the utility model claims.

Claims

1. A charge-discharge management system characterized by comprising: The system comprises: a storage module (7) comprising a storage pack for storing electric energy; a supplement module (2) comprising a natural energy power generation module for converting natural energy into electric energy to supplement the storage module (7); a discharge module (3) comprising a charging pile for delivering electric energy in the storage module (7) and / or electric energy of a power grid to users through a control module (1); an AI prediction module (6) comprising a weather forecast module for obtaining predicted power generation of the natural energy power generation module by predicting natural energy intensity and effective time of the natural energy power generation module in a future set time period, and obtaining a data model of time and predicted discharge capacity of the charging pile by counting historical charge and discharge data of the charging pile, for uploading residual electric energy exceeding the predicted discharge capacity in the storage module (7) and the predicted power generation of the natural energy power generation module to the power grid; a power grid connection module (4) for electric energy interaction between the storage module (7) and the power grid; the control module (1) is electrically connected with the storage module (7), the supplement module (2), the discharge module (3), the AI prediction module (6) and the power grid connection module (4) for information communication and instruction control between the modules.

2. The charge-discharge management system according to claim 1, characterized by, The supplement module further comprises a V2G power station for converting electric energy of users to supplement the storage module (7).

3. The charge-discharge management system according to claim 1, characterized by, The storage module (7) further comprises a storage pack monitoring module for detecting calendar life and cumulative cycle times of different battery cells in the storage pack, and controlling single supplement capacity and discharge capacity of different battery cells through the control module (1).

4. The charge-discharge management system according to claim 1, characterized by The AI prediction module (6) further comprises a user use prediction module for predicting peak use time of users. The charge and discharge management system further comprises a clock module (5) electrically connected with the control module (1) for controlling the storage module (7) to supplement to a preset storage capacity before the peak use time through the control module (1).

5. A charging station, characterized in that, The system comprises any one of claims 1-4. The system comprises any one of claims 1-4.

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