Charging module, charging pile and charging method using same

Abstract

The invention provides a charging module, charging piles and a charging method using the same. The charging module is used for charging a plurality of electric vehicles through a plurality of charging piles and comprises a charging prediction model and a charging scheduling unit. The charging prediction model is obtained according to a plurality of historical charging data. The charging scheduling unit is used for obtaining the predicted power demand and the predicted stay period of each electric vehicle through a charging prediction model. And generating a charging schedule, including: providing a basic charging amount for each electric vehicle; and determining the charging priority of the electric vehicles according to the predicted power demand and the predicted stay period.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] The present invention claims priority to Taiwan Patent Application No. 112128817 filed on August 1, 2023, which is incorporated herein by reference for all purposes as if fully set forth herein. Technical Field

[0003] The invention relates to a charging module, a charging pile and a charging method using the same. Background Art

[0004] In order to reduce carbon emissions and improve global warming, the international community has begun to promote the development of electric vehicles to achieve the goal of banning the sale of fuel. Charging equipment manufacturers have seen the trend of electrification of transportation and have gradually expanded multiple charging stations across the country and launched home charging piles to charge more and more electric vehicles. Therefore, there is a need to propose an efficient charging method that not only maximizes the charging efficiency of the charging station, but also allows each electric vehicle at the charging station to obtain as much power as possible. Summary of the invention

[0005] Therefore, the present invention proposes a charging module, a charging pile and a charging method using the same, which can improve the above-mentioned problems.

[0006] One embodiment of the present invention provides a charging module. The charging module is used to charge a plurality of electric vehicles through a plurality of charging piles and includes a charging prediction model and a charging scheduling unit. The charging prediction model is obtained based on a historical charging data, wherein each historical charging data includes at least one of a stay time and a charging time and an actual charging amount. The charging scheduling unit is used to: obtain a predicted power demand and a predicted stay period of each electric vehicle through the charging prediction model; and, generate a charging schedule, including: providing a basic charging amount for each electric vehicle; and determining a charging priority of these electric vehicles based on the predicted power demand and the predicted stay period.

[0007] One embodiment of the present invention provides a charging module. The charging module is used to charge several electric vehicles through several charging piles. The charging module includes a charging prediction model and a charging scheduling unit. The charging prediction model is obtained based on several historical charging data, wherein each historical charging data includes at least one of a stay time and a charging time and an actual charging amount. The charging scheduling unit is used to: obtain a predicted power demand and a predicted stay period for each electric vehicle through the charging prediction model; and, generate a charging schedule, including: determining an actual charging amount of each electric vehicle in a manner that maximizes the sum of several charging ratios of these electric vehicles, wherein each charging ratio is the ratio of the corresponding actual charging amount to the predicted power demand.

[0008] Another embodiment of the present invention provides a charging method. The charging method includes the following steps: obtaining a predicted power demand and a predicted stay period of each electric vehicle through a charging prediction model, wherein the charging prediction model is obtained based on a historical charging data, wherein each historical charging data includes at least one of a stay time and a charging time and an actual charging amount; and, proposing a charging schedule, including: providing a basic charging amount for each electric vehicle; and, determining a charging priority of these electric vehicles based on the predicted power demand and the predicted stay period.

[0009] Another embodiment of the present invention provides a charging method. The charging method includes the following steps: obtaining a predicted power demand and a predicted stay period of each electric vehicle through a charging prediction model, wherein the charging prediction model is obtained based on a historical charging data, wherein each historical charging data includes at least one of a stay time and a charging time and an actual charging amount; and proposing a charging schedule, including: determining an actual charging amount of each electric vehicle in a manner that maximizes the sum of several charging ratios of these electric vehicles, wherein each charging ratio is a ratio of the corresponding actual charging amount to the predicted power demand.

[0010] Another embodiment of the present invention provides a charging pile. The charging pile is used to be electrically connected to the aforementioned charging module, and includes a connector and a controller. The connector is used to be connected to one of the electric vehicles. The controller is used to: receive the electric vehicle identification data of the electric vehicle connected to the connector; and transmit the electric vehicle identification data, a charging start time and a charging location to the charging module.

[0011] In order to better understand the above and other aspects of the present invention, embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A schematic diagram of a charging system according to an embodiment of the present invention is shown;

[0013] Figure 2 A graph showing the relationship between the charging capacity and time of a charging station according to an embodiment of the present invention;

[0014] Figure 3-Figure 5 Draw Figure 1 Flow chart of a charging method for a charging module or a charging system.

[0015] Wherein, the reference numerals are:

[0016] 100: Charging system

[0017] 110: Charging module

[0018] 111: Charging schedule unit

[0019] 120: Charging management module

[0020] AE1,AE2: Actual charge capacity

[0021] BE: Basic charge capacity

[0022] CP1,CP2,CP i ,CP I :Charging pile

[0023] CP 11 ,CP 21 ,CP i1 ,CP I1 :Connector

[0024] CP i2 ,CP 12 ,CP 22 ,CP I2 :Controller

[0025] CS1,CS2,CS3,CS j :Charging schedule

[0026] EV1,EV2,EV n ,EV N :Electric Vehicle

[0027] ID1,ID2,ID n ,ID N :Electric Vehicle Identification Data

[0028] M1: Charging prediction model

[0029] PE n ,PE1,PE2,PE N : Forecast electricity demand

[0030] PT1,PT2,PT n : Predicted stay period

[0031] RP1,RP2,RP n :Priority ratio

[0032] RC1, RC2: Charging ratio

[0033] ST1,ST n : Charging start time

[0034] SP1: Charging location

[0035] S110~S130, S111~S112, S131~S133: Steps

[0036] T1,T2,T i ,T I:Charging instructions

[0037] UE1,UE2,UE n :Update power requirement

[0038] UT1,UT2,UT n :Update stay period

[0039] X1,X2,X n ,X N :enter. DETAILED DESCRIPTION

[0040] Please refer to Figure 1 and Figure 2 , Figure 1 FIG. 1 is a schematic diagram of a charging system 100 according to an embodiment of the present invention. Figure 2 FIG. 4 is a diagram showing the relationship between the charging capacity and time of a charging station according to an embodiment of the present invention.

[0041] like Figure 1 As shown, the charging system 100 includes a charging module 110, a charging management module 120 and at least one charging station 10. The charging module 110 and the charging management module 120 can be configured in the cloud. In one embodiment, the charging module 110 and the charging management module 120 can be configured in the cloud (not shown) of the Internet, and communicate with the charging station 10 via the Internet. In one embodiment, the charging module 110 and the charging management module 120 can be configured separately (such as Figure 1 As shown), the two can communicate with each other through wired technology or wireless communication technology. In other embodiments, the charging module 110 and the charging management module 120 can be integrated into a single module (not shown).

[0042] like Figure 1 As shown, each charging station 10 may include one charging pile CP i , where i is, for example, a positive integer between 1 and I, and I can be a positive integer greater than or equal to 2. The charging module 110 is used to charge the battery through a plurality of charging posts CP i For N electric vehicles EV nCharging is performed, where n is, for example, a positive integer between 1 and N, where N can be a positive integer greater than or equal to 1. At different time periods, the number of electric vehicles entering and exiting the charging station varies, so the value of N also varies. The charging module 110 and / or the charging management module 120 are, for example, physical circuits formed by semiconductor processes, such as semiconductor chips, semiconductor packages, etc. The charging method herein may be implemented by a software or firmware, and executed after being loaded by the charging module 110 and / or the charging management module 120. In addition, the charging system 100, the charging module 110 and / or the charging management module 120 comply with the OCPP (Open ChargePoint Protocol) protocol (for example, complying with OCPP 1.6 and 2.0.1), which is an application layer communication protocol between the charging pile of an electric vehicle and a central management system, also referred to as a charging station network. In addition, the electric vehicle EV n For example, electric vehicles (cars, buses, trucks, vans, etc.), electric locomotives, etc.

[0043] In addition, this proposal is in line with the development trend of the energy industry. In detail, the charging system 100 or the charging management module 120 collects charging transaction information from the charging pile through the OCPP communication protocol, such as: charging time (the time difference between the start time of charging and the stop time of charging), stay time, actual charging amount and / or power source (solar energy, wind energy, etc.). The charging system 100 or the charging management module 120 sends the green charging transaction consultation to the third-party carbon trading manager through the OCPI (Open Charge Point Interface) communication protocol. The third-party carbon trading manager detects and sends the corresponding carbon credit back to the charging station operator (Charge Point Operator, CPO) through the OCPI communication protocol.

[0044] In this embodiment, the charging module 110 can provide a charging schedule to the charging management module 120, and the charging management module 120 actually controls the charging pile CP according to the charging schedule. i About Electric Vehicles EV n Charge.

[0045] like Figure 1As shown, the charging module 110 includes a charging scheduling unit 111 and a charging prediction model M1. The charging scheduling unit 111 is, for example, a physical circuit formed by a semiconductor process, such as a semiconductor chip, a semiconductor package, etc. The charging method herein may be implemented by a software or firmware, and executed, for example, after being loaded by the charging scheduling unit 111. The charging prediction model M1 is obtained based on a historical charging data. For example, the charging module 110 may use any suitable or even known machine learning technology (for example, deep learning, etc.) to train multiple historical charging data to obtain the charging prediction model M1. As long as the charging prediction model M1 can be obtained, the technology and / or process for obtaining the charging prediction model M1 is not the main claim of this proposal, nor does it affect the solution of the problem to be solved by this proposal and the technical effect that can be achieved by this proposal. In one embodiment, the historical charging data includes the charging prediction data of each electric vehicle EV during the training period. n The term "time" in this article refers to, for example, date and / or time point (hours, minutes, seconds). For example, "stay time" refers to the time difference between the arrival time (arrival at the charging station) and the departure time (leaving the charging station) of an electric vehicle (departure time: the time when the electric vehicle leaves the charging station or disconnects from the charging pile), while "charging time" refers to the time difference between the start time and the stop time of charging of the electric vehicle. In addition, the charging stop time is not the same as the departure time. During the stay time of an electric vehicle, depending on the charging schedule, there may be at least one charging stop. The reason for stopping charging may be that the electric vehicle is fully charged or the battery of the electric vehicle is overheated.

[0046] like Figure 1 As shown, the charging scheduling unit 111 is further used to: (1) receive the information of each electric vehicle EV from the charging management module 120; n Electric vehicle identification information ID n , when charging starts, click ST n and charging location SP n ; and, (2). Through the charging prediction model M1, according to the electric vehicle identification data ID n , when charging starts, click ST n and charging location SP n , obtain electric vehicle EV n The predicted power demand PE n and predicted stay period PT n In other words, for the charging prediction model M1, the input X n Electric vehicle identification ID n , when charging starts, click ST n and charging location SP n , and the output is the corresponding predicted power demand PE nand predicted stay period PT n .

[0047] The “electricity” herein is, for example, “work”, and its unit is, for example, kilowatt-hour (kWh) or other work units.

[0048] In one embodiment, the electric vehicle identification information ID n Can be stored in electric vehicles EV n , different electric vehicles EV n There are different electric vehicle identification IDs n . Charging SP n For example, it means charging pile CP i Location where the charging point SP n The information can be stored in the charging management module 120. For example, when the electric vehicle EV n Connect to charging pile CP i When the charging pile CP i The charging pile identification information (not shown) can be transmitted to the charging management module 120, and the charging management module 120 can query the corresponding charging location SP accordingly. n Although not shown, in another embodiment, the user can send a user charging instruction to the charging management module 120 through an application program (APP) of his communication device (e.g., a mobile phone). The user charging instruction includes the charging pile CP i Charging pile identification information or charging location SP n (For example, the user can enter the charging pile CP i The charging pile identification information or scanning the barcode containing the charging pile identification information), the charging management module 120 can obtain the charging location SP according to the user's charging instruction. n When electric vehicles EV n Connect to charging pile CP i Electric Vehicles EV n Electric vehicle identification information ID n The charging management module 120 can transmit the information to the charging module 110, and the charging management module 120 can transmit the information to each charging pile CP. i The charging starts at ST n and charging location SP n Together with the electric vehicle identification information ID n To the charging module 110. For the same charging pile CP i , and its associated charging location SP n , when charging starts, click ST n Electric vehicle identification ID nFor example, the input X1 includes the charging location SP1 and the charging start time ST1 of the charging pile CP1 and the electric vehicle identification data ID1 of the electric vehicle EV1 connected thereto.

[0049] In one embodiment, the charging scheduling unit 111 is further used to: (1) obtain the charging prediction model M1 of each electric vehicle EV n The predicted power demand PE n and predicted stay period PT n ; and, (2). Generate a charging schedule CS j , which includes: (2-1). For each electric vehicle EV n Provide a basic charge capacity BE; and (2-2). Based on the predicted power demand PE n and predicted stay period PT n , determine these electric vehicles EV n The charging priority is set by the charging schedule CS j In addition to maximizing the charging efficiency of the charging station, it also allows each electric vehicle at the charging station to obtain sufficient or desired power as much as possible.

[0050] In one embodiment, the basic charging amount BE is, for example, the amount of electricity required by the electric vehicle for one day, for example, 10 kWh, but it may also be larger or smaller. n The basic charge capacity BE is the same, but it can also be seen that the electric vehicle EV n The basic charge amount BE can be set or changed by the charging module 110. The charging scheduling unit 111 can provide the basic charge amount BE to each electric vehicle EV in the charging station. n Then, each EV is charged according to the charging priority. n Provide different or corresponding charging amounts. Every time period, the charging schedule unit 111 can generate a corresponding j-th charging schedule CS j , where the value of j (e.g., a positive integer) accumulates over time. In the second period, if the electric vehicle EV n The number of charging schedules CS j May also change accordingly.

[0051] Taking electric vehicles EV1 and EV2 as examples, in a time period (e.g., charging schedule CS1), the charging scheduling unit 111 obtains, through the charging prediction model M1, a predicted power demand PE1 of the electric vehicle EV1 of 50 kWh and a predicted stay period PT1 of 5 hours, while a predicted power demand PE2 of the electric vehicle EV2 of 20 kWh and a predicted stay period PT2 of 6 hours.

[0052] In one embodiment, the charging scheduling unit 111 is further used to: (a) obtain the current status of each electric vehicle EV n Update power requirement after chargingUE n and update the duration of stay UT n ; (b) Obtain each electric vehicle EV n Update power requirement UE n UT with updated stay period n The priority ratio RP n ; and, (c) based on multiple priority ratios RP n From largest to smallest, these electric vehicles are determined n The charging sequence.

[0053] Taking the electric vehicle EV1 and the electric vehicle EV2 as examples, in the next time period (e.g., charging schedule CS2), for example, after charging (e.g., after obtaining the basic charge amount BE), the updated power demand UE1 of the electric vehicle EV1 is 40 kWh and the updated stay period UT1 is 4 hours, while the updated power demand UE2 of the electric vehicle EV2 is 10 kWh and the updated stay period UT2 is 5 hours. The charging scheduling unit 111 can obtain the updated power demand UE1 and the updated stay period UT1 of the electric vehicle EV1 and the updated power demand UE2 and the updated stay period UT2 of the electric vehicle Ep V2. The charging scheduling unit 111 can obtain the priority ratio RP1 of the updated power demand UE1 and the updated stay period UT1 of the electric vehicle EV1 as 10, and obtain the ratio R2 of the updated power demand UE2 and the updated stay period UT2 of the electric vehicle EV2 as 2. The charging module 110 can determine the charging order of the electric vehicles EV1 and EV2 according to the order of the priority ratios RP1 and RP2 from large to small. In this embodiment, since the priority ratio RP1 is greater than the priority ratio RP2, the charging module 110 provides the corresponding charging schedule CS j The charging management module 120 is provided with a charging schedule CS. j Prioritize charging of electric vehicle EV1.

[0054] Taking the electric vehicle EV1 and the electric vehicle EV2 as examples, in the next time period (for example, charging schedule CS3), assuming that after charging for another 3 hours, the updated power demand UE1 of the electric vehicle EV1 is 10 kWh and the updated stay period UT1 is 1 hour, and the updated power demand UE2 of the electric vehicle EV2 is 10 kWh and the updated stay period UT2 is 2 hours (assuming that the electric vehicle EV1 is in the priority charging schedule and the electric vehicle EV2 is not charged). The charging scheduling unit 111 can obtain the updated power demand UE1 and the updated stay period UT1 of the electric vehicle EV1 and the updated power demand UE2 and the updated stay period UT2 of the electric vehicle EV2. The charging scheduling unit 111 can obtain the priority ratio RP1 of the updated power demand UE1 and the updated stay period UT1 of the electric vehicle EV1 as 10, and the priority ratio RP2 of the updated power demand UE2 and the updated stay period UT2 of the electric vehicle EV2 as 5. The charging module 110 can be based on the priority ratios RP1 and RP2 in descending order. In this embodiment, since the priority ratio RP1 is greater than the priority ratio RP2, the charging module 110 provides the corresponding charging schedule CS j The charging management module 120 is provided with a charging schedule CS. j Prioritize charging of electric vehicle EV1.

[0055] In the next time period (for example, charging schedule CS j , j≥4), the charging module 110 may adopt the same method to determine the updated charging priorities of the electric vehicles EV1 and EV2 until the electric vehicle EV n Fully charged, or electric vehicle EV n Leave the charging station.

[0056] In addition, during the charging process, assuming that the electric vehicle can only receive 5kWh, the charging module 110 and / or the charging management module 120 can learn from the data fed back by the charging pile whether the electric vehicle is fully charged or can no longer receive more power. If so, the charging module 110 can update the charging schedule accordingly. For example, when the electric vehicle can no longer receive power, in the next charging schedule, the charging module 110 can modify the required power of the electric vehicle to 0.

[0057] In summary, the “charging priority” is not determined by the time when the electric vehicle is connected to the charging pile or the electric vehicle enters the charging station, but by its power demand and / or stay time.

[0058] Depend on Figure 2 It can be seen that for the same electric vehicle EV n In different periods of time, charging stations may provide different charging amounts to electric vehicles EV. n Or, for the same electric vehicle EV n, not all electric vehicles EV connected to the charging piles in the charging station can obtain power supply in every period; or, in the same period, all electric vehicles EV n The above variable charging schedule is to maximize the charging efficiency of the charging station and make each electric vehicle EV n can obtain sufficient or expected power.

[0059] In one embodiment, the charging scheduling unit 111 is further configured to: determine the number of electric vehicles EV that can be charged simultaneously according to the rated output power of the charging station. n The maximum chargeable number may be equal to or less than these electric vehicles EV n In detail, the charging scheduling unit 111 can calculate the total number of all charging piles CP i The total output power of the charging station is not greater than the rated output power of the charging station. n For example, there are 8 electric vehicles in the charging station. According to the charging priority, the total power demand of the first 6 electric vehicles causes the total output power of the charging station to be higher than its rated output power, but the first 5 electric vehicles are lower than the rated output power. In this case, the charging station will only charge the first 5 electric vehicles. Under this premise, not all electric vehicles EVs will be charged in the same period. n All are in charging state, but it is also possible that all electric vehicles EV n In another embodiment, the total power demand of the first six electric vehicles causes the total output power of the charging station to be higher than its rated output power. Although the total power demand of the first five electric vehicles is lower than the rated output power, the charging station can still charge all six electric vehicles, but the power demand of each electric vehicle is proportionally reduced. In addition, the charging scheduling unit 111 can allow the total output power of the charging station (for example, all charging piles CP i The total output power of the charging station is as close to the rated output power as possible to maximize the charging efficiency of the charging station.

[0060] In one embodiment, the charging scheduling unit 111 is further used to: n The updated power requirement of at least two UE n The above steps (a) to (c) are repeated with the goal of approaching equality. In other words, the charging module 110 of the embodiment of the present invention aims to "enable each electric vehicle in the charging station to obtain the same or similar charging amount."

[0061] In one embodiment, the charging schedule unit 111 is used to determine the charging schedule CS based on the goal of maximizing the total charging ratio of all electric vehicles connected to the charging piles in the charging station. jTaking electric vehicles EV1 and EV2 as examples, the predicted power demand PE1 of electric vehicle EV1 is 30kWh, and the predicted power demand PE2 of electric vehicle EV2 is 20kWh. During the predicted stay period of the two vehicles, the charging station can provide 40kWh of power to electric vehicles EV1 and EV2. With the goal of "maximizing the total charging ratio of all electric vehicles connected to the charging piles in the charging station", the charging schedule CS provided by the charging schedule unit 111 j Including: the actual charging amount AE1 of the charging pile CP1 for the electric vehicle EV1 is 20kWh, and the actual charging amount AE2 of the charging pile CP2 for the electric vehicle EV2 is 20kWh. In this way, the charging ratio RC1 of the electric vehicle EV1 is 0.67 (formula: actual charging amount AE1 / predicted power demand PE1=20 / 30=0.67), and the charging ratio RC2 of the electric vehicle EV1 is 1 (formula: actual charging amount AE2 / predicted power demand UE2=20 / 20=1), and the total charging ratio is the maximum 1.67.

[0062] In one embodiment, after each electric vehicle obtains the basic charge amount BE, the charging scheduling unit 111 determines the charging schedule CS with the goal of maximizing the total charging ratio of all electric vehicles connected to the charging piles in the charging station. j Taking the electric vehicles EV1 and EV2 as an example, assuming that after the electric vehicles EV1 and EV2 obtain the basic charge amount BE, the update power requirement UE1 of the electric vehicle EV1 is 30kWh, and the update power requirement UE2 of the electric vehicle EV2 is 20kWh. During the update stay of the two vehicles, the charging station can provide 40kWh of power to the electric vehicles EV1 and EV2. With the goal of "maximizing the total charging ratio of all electric vehicles connected to the charging piles in the charging station", the charging schedule CS provided by the charging schedule unit 111 j Including: the actual charging amount AE1 of the charging pile CP1 for the electric vehicle EV1 is 20kWh, and the actual charging amount AE2 of the charging pile CP2 for the electric vehicle EV2 is 20kWh. In this way, the charging ratio RC1 of the electric vehicle EV1 is 0.67 (formula: actual charging amount AE1 / updated required power UE1=20 / 30=0.67), and the charging ratio RC2 of the electric vehicle EV1 is 1 (formula: actual charging amount AE2 / updated required power UE2=20 / 20=1), and the total charging ratio is the maximum 1.67.

[0063] In one embodiment, the charging scheduling unit 111 is further configured to: nThe charging schedule unit 111 determines a charging time period with the highest electricity price profit (for example, for the operator of the charging system 100). For example, the predicted stay period PT1 of the electric vehicle EV1 is 5 hours. The charging schedule unit 111 can select the time period with the highest electricity price profit from the 5-hour stay period to charge the electric vehicle EV1, so that the charging station or charging system manager can obtain higher profits.

[0064] In one embodiment, the charging schedule unit 111 is further used to: determine whether the electric vehicle meets a highest priority level; if the electric vehicle meets the highest priority level, determine the charging schedule CS according to "electric vehicles meeting the highest priority level are charged first". j Taking the electric vehicle EV1 as an example, the electric vehicle EV1 is set (this setting is pre-stored in the charging module 110 and / or the charging management module 120) as the "highest priority level", then in the charging schedule CS j The electric vehicle EV1 is set as the first one to be charged. If there are multiple electric vehicles that meet the highest priority level, the charging scheduling unit 111 arranges the charging order of these electric vehicles according to the order of the priority ratios of these electric vehicles from large to small.

[0065] In this embodiment, the charging management module 120 actually controls the charging pile CP according to the charging schedule. i About Electric Vehicles EV n Charging. For example, Figure 1 As shown, the charging schedule unit 111 is further used to: transmit the charging schedule CS j to the charging management module 120 so that the charging management module 120 can control the charging schedule CS j Control at least one charging pile CP i For at least one electric vehicle EV n Charging. Charging pile CP i Controlled by the charging management module 120, the charging management module 120 is based on the charging schedule CS of the charging module 110. j Control charging pile CP i charging mode.

[0066] like Figure 1 As shown, the charging pile CP i The charging pile CP can communicate with the charging management module 120 through wireless or wired communication technology. i Including connector CP i1 And controller CP i2 . Connector CP i1 Used with these electric vehicles EV n The current can flow through the connector CP i1 Provided to electric vehicles EV n . Controller CP i2For example, it is a physical circuit formed by a semiconductor process, such as a semiconductor chip, a semiconductor package, etc. The controller CP i2 Used for: receiving these electric vehicles EV n The electric vehicle identification data ID of the electric vehicle connected to the connector n ; and, transmit the electric vehicle identification data ID n , when charging starts, click ST n and charging location SP n to the charging module 110. In addition, the controller CP i2 Further used to: according to the charging instruction T transmitted by the charging management module 120 i , for electric vehicles EV n Charging. Charging instruction T i The charging module 110 can be configured to j Generation. Charging pile CP i For example, DC or AC charging technology can be used. For DC charging technology, the charging pile CP i The battery state of charge (SoC) of the battery of the electric vehicle can be obtained, and the charging scheduling unit 111 can obtain the predicted power demand and / or update the power demand based on (or calculate) the SoC of the electric vehicle. i A small amount of power can be provided to the electric vehicle. If the electric vehicle receives this small amount of power, it means that the battery of the electric vehicle has not been fully charged; if the electric vehicle does not receive this small amount of power, it means that the battery of the electric vehicle is fully charged or cannot be charged any further.

[0067] Please refer to Figure 3 to Figure 5 , which shows Figure 1 Flow chart of a charging method of the charging module 110 or the charging system 100.

[0068] In step S110, please also refer to Figure 1 The charging module 110 obtains the charging prediction model M1 of each electric vehicle EV n The predicted power demand PE n and predicted stay period PT n .

[0069] Then, the charging module 110 proposes a charging schedule CS j , which for example includes steps S120 and S130.

[0070] In step S120, the charging module 110 charges each electric vehicle EV n Provides a basic charge capacity BE.

[0071] In step S130, the charging module 110 calculates the power demand PE according to the predicted power demand PE. nand predicted stay period PT n , determine these electric vehicles EV n charging priority.

[0072] In one embodiment, step S110 may include: Figure 4 In step S111, the charging management module 120 receives the charging pile CP. i Electric vehicles EV n Electric vehicle identification information ID n , and the charging pile CP i The charging starts at ST n and charging location SP n Together with the electric vehicle identification information ID n Transmit to electric vehicle EV n Then, in step S112, the charging module 110 uses the charging prediction model M1 according to the electric vehicle identification data ID n , when charging starts, click ST n and charging location SP n , get the predicted power demand PE n and predicted stay period PT n .

[0073] In one embodiment, step S130 may include: Figure 5 In step S131, the charging module 110 obtains the electric vehicle EV n Update power requirement after chargingUE n and update the duration of stay UT n In step S132, the electric vehicles EV are obtained. n Update power requirement UE n UT with updated stay period n The priority ratio RP n In step S133, according to these priority ratios RP n From largest to smallest, these electric vehicles are determined n The charging sequence.

[0074] In summary, the charging system or charging module can obtain the predicted stay period of the electric vehicle connected to the charging pile and the energy required during the stay period, and generate (or establish) a charging plan (e.g., charging schedule). The charging plan can be arranged according to different strategies. In addition, the charging system or charging module can also generate or update the charging schedule without knowing the rated power of the electric vehicle, so as not to waste electricity.

[0075] In summary, although the present application has been disclosed as above by way of embodiments, it is not intended to limit the present application. A person skilled in the art of the present application may make various modifications and improvements without departing from the spirit and scope of the present application. Therefore, the scope of protection of the present application shall be subject to the scope defined by the patent application.

Claims

1. A charging module, characterized in that: Used to charge several electric vehicles through several charging piles, and includes: a charging prediction model obtained based on a plurality of historical charging data, wherein each of the historical charging data includes at least one of a stay time and a charging time and an actual charging amount; and A charging scheduling unit, for: Obtaining a predicted power requirement and a predicted stay period of each electric vehicle through the charging prediction model; and Generate a charging schedule, including: Providing a basic charge capacity for each electric vehicle; and A charging priority of the electric vehicles is determined according to the predicted power demand and the predicted stay period.

2. The charging module according to claim 1, characterized in that: The charging scheduling unit is used to: (a) obtaining an updated power requirement and an updated dwelling period of each electric vehicle after charging; (b) obtaining a priority ratio between the power requirement for updating and the staying period for updating of each electric vehicle; and (c) determining a charging order of the electric vehicles according to the order of the priority ratios from large to small.

3. The charging module according to claim 2, characterized in that: The charging scheduling unit is further used to: A maximum chargeable number of the electric vehicles that can be charged simultaneously is determined according to a rated output power of a charging station.

4. The charging module according to claim 2, characterized in that: The charging scheduling unit is also used to: With the goal of making the power requirements for updating at least two of the electric vehicles approach the same, steps (a) to (c) are repeated.

5. The charging module according to claim 1, characterized in that: The charging scheduling unit is further used to: A charging time period that provides the greatest profit from electricity prices is determined from the predicted stay period.

6. The charging module according to claim 1, characterized in that: The charging scheduling unit is further used to: receiving electric vehicle identification information, the charging start time and the charging location of each electric vehicle from a charging management module; and The predicted power requirement and the predicted stay period are obtained through the charging prediction model according to the electric vehicle identification data, the charging start time and the charging location.

7. The charging module according to claim 1, characterized in that: The charging scheduling unit is also used to: The charging schedule is transmitted to a charging management module, so that the charging management module controls at least one charging pile to charge at least one electric vehicle according to the charging schedule.

8. A charging module, characterized in that: Used to charge several electric vehicles through several charging piles, and includes: a charging prediction model obtained based on a plurality of historical charging data, wherein each of the historical charging data includes at least one of a stay time and a charging time and an actual charging amount; and A charging scheduling unit, for: Obtaining a predicted power requirement and a predicted stay period of each electric vehicle through the charging prediction model; and Generate a charging schedule, including: An actual charging capacity of each electric vehicle is determined by maximizing the sum of several charging ratios of the electric vehicles, wherein each charging ratio is a ratio of the corresponding actual charging capacity to the predicted power requirement.

9. The charging module according to claim 8, characterized in that: The charging scheduling unit is also used to: A maximum chargeable number of the electric vehicles that can be charged simultaneously is determined according to a rated output power of a charging station.

10. The charging module according to claim 8, characterized in that: The charging scheduling unit is further used to: A charging time period that provides the greatest profit from electricity prices is determined from the predicted stay period.

11. The charging module according to claim 8, characterized in that: The charging scheduling unit is further used to: receiving electric vehicle identification information, the charging start time and the charging location of each electric vehicle from a charging management module; and The predicted power requirement and the predicted stay period are obtained through the charging prediction model according to the electric vehicle identification data, the charging start time and the charging location.

12. The charging module according to claim 8, characterized in that: The charging scheduling unit is further used to: The charging schedule is transmitted to a charging management module, so that the charging management module controls at least one charging pile to charge at least one electric vehicle according to the charging schedule.

13. A charging method, characterized in that: Used to charge several electric vehicles, and includes: Obtaining a predicted power requirement and a predicted stay period of each electric vehicle through a charging prediction model, wherein the charging prediction model is obtained based on a plurality of historical charging data; and Propose a charging schedule, including: Providing a basic charge capacity for each electric vehicle; and Determining a charging priority of the electric vehicles according to the predicted power demand and the predicted stay period; Each of the historical charging data includes at least one of a stay time and a charging time and an actual charging amount.

14. The charging method according to claim 13, characterized in that: The step of determining the charging priority of the electric vehicles according to the predicted power demand and the stay time includes: (a) obtaining an updated power requirement and an updated dwelling period of each electric vehicle after charging; (b) obtaining a priority ratio between the power requirement for updating and the staying period for updating of each electric vehicle; and (c) determining a charging order of the electric vehicles according to the order of the priority ratios from large to small.

15. The charging method according to claim 14, characterized in that: The step of determining the charging priority of the electric vehicles according to the predicted power demand and the stay time includes: A maximum chargeable number of the electric vehicles that can be charged simultaneously is determined according to a rated output power of a charging station.

16. The charging method according to claim 14, characterized in that: The step of determining the charging priority of the electric vehicles according to the predicted power demand and the stay time includes: With the goal of making the power requirements for updating at least two of the electric vehicles approach the same, steps (a) to (c) are repeated.

17. The charging method according to claim 13, characterized in that: The step of determining the charging priority of the electric vehicles according to the predicted power demand and the stay time includes: A charging time period that provides the greatest profit from electricity prices is determined from the predicted stay period.

18. The charging method according to claim 13, characterized in that: The step of obtaining the predicted power requirement and the predicted stay period of each electric vehicle through the charging prediction model includes: receiving electric vehicle identification information, the charging start time and the charging location of each electric vehicle from a charging management module; and The predicted power requirement and the predicted stay period are obtained through the charging prediction model according to the electric vehicle identification data, the charging start time and the charging location.

19. The charging method according to claim 13, characterized in that: Further including: The charging schedule is transmitted to a charging management module, so that the charging management module controls at least one charging pile to charge at least one electric vehicle according to the charging schedule.

20. A charging method, characterized in that: Used to charge several electric vehicles, and includes: Obtaining a predicted power requirement and a predicted stay period of each electric vehicle through a charging prediction model, wherein the charging prediction model is obtained based on a plurality of historical charging data, wherein each of the historical charging data includes at least one of a stay time and a charging time and an actual charging amount; and Propose a charging schedule, including: An actual charging capacity of each electric vehicle is determined by maximizing the sum of several charging ratios of the electric vehicles, wherein each charging ratio is a ratio of the corresponding actual charging capacity to the predicted power requirement.

21. The charging method according to claim 20, characterized in that: The step of determining the charging priority of the electric vehicles according to the predicted power demand and the stay time includes: A maximum chargeable number of the electric vehicles that can be charged simultaneously is determined according to a rated output power of a charging station.

22. The charging method according to claim 20, characterized in that: The step of determining the charging priority of the electric vehicles according to the predicted power demand and the stay time includes: A charging time period that provides the greatest profit from electricity prices is determined from the predicted stay period.

23. The charging method according to claim 20, characterized in that: The step of obtaining the predicted power requirement and the predicted stay period of each electric vehicle through the charging prediction model includes: receiving electric vehicle identification information, the charging start time and the charging location of each electric vehicle from a charging management module; and The predicted power requirement and the predicted stay period are obtained through the charging prediction model according to the electric vehicle identification data, the charging start time and the charging location.

24. The charging method according to claim 20, characterized in that: Further including: The charging schedule is transmitted to a charging management module, so that the charging management module controls at least one charging pile to charge at least one electric vehicle according to the charging schedule.

25. A charging pile, characterized in that: Used to be electrically connected to a charging module according to claim 1, and comprising: a connector for connecting to one of the electric vehicles; and A controller for: receiving the electric vehicle identification information of the electric vehicle connected to the connector; and The electric vehicle identification data is transmitted to the charging module.

26. The charging pile according to claim 25, characterized in that: The controller is also used to: The electric vehicle connected to the connector is charged according to a charging instruction transmitted from a charging management module.

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