Hidden, portable intelligent charging management system

Abstract

The present invention belongs to the field of electric power technology, and specifically relates to a hidden, movable intelligent charging management system, including a charging station body, a charging device, an underground track, a ground exit, a charging intelligent planning module and a charging power prediction module; the charging station body is connected to the mains to realize the power supply of the charging device; the charging device moves along the underground track and is connected to the charging station body through a charging cable buried underground; the underground track is laid underground in the parking lot of the charging station; the ground exit is set at each parking space; the operating terminal is erected inside the charging station. The charging intelligent planning module is used to provide reasonable power planning for users with different types of needs; the charging power prediction module is used to realize the analysis and prediction of the charging power of the charging station at different time scales within the day and week. The present invention adopts a movable, hidden charging device to efficiently utilize parking space and alleviate the problem of shortage of parking resources.

Description

Technical Field

[0001] The present invention belongs to the field of electric power technology, and in particular relates to a hidden, movable intelligent charging management system. Background Art

[0002] The massive promotion of electric vehicles has caused a mismatch in the number of vehicles and charging piles in the short term, thus putting forward higher requirements for the supporting charging service system. The traditional charging service system adopts the "car-pile-station" three-in-one charging method, which has problems such as large floor space and relatively single function. In addition, new energy charging piles are often occupied by vehicles without charging needs, resulting in low utilization of charging resources and low user satisfaction with charging services. Summary of the invention

[0003] The purpose of the present invention is to provide a hidden, portable intelligent charging management system to solve the problems existing in the background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a hidden, movable intelligent charging management system, including a charging station body, a charging device, an underground track, a ground exit, an operation terminal, a charging intelligent planning module and a charging power prediction module;

[0005] The charging station body is connected to the mains electricity to realize the power supply of the charging device;

[0006] The charging device moves along the underground track and is connected to the charging station body through a charging cable buried underground, so as to provide charging services to the electric vehicles;

[0007] The underground track is laid underground in the parking lot of the charging station and is used to move the charging device between various ground exits;

[0008] The ground exit is arranged at each parking space to realize the lifting and hiding of the charging device and complete the vehicle information identification;

[0009] The operation terminal is set up inside the charging station to realize user interaction and demand collection, and complete vehicle and account information confirmation, charging mode selection and reservation setting functions;

[0010] The charging intelligent planning module is used to provide reasonable power planning for users with different types of needs;

[0011] The charging power prediction module is used to analyze and predict the charging power of the charging station at different time scales within the day and week.

[0012] Preferably, the main body of the charging station is composed of an energy storage system and an electric energy control system. The energy storage system is composed of multiple groups of capacitors, which are used to realize the power supply in the case of short-term energy loss to ensure the normal and stable operation of the charging station; the electric energy control system is used to realize power configuration, power metering and energy storage system power monitoring.

[0013] Preferably, the charging device consists of a charging pole, a charging cable, a connecting cable and a charging interface. The charging pole is made of insulating material and has automatic telescopic ability and certain supporting performance. The charging cable is buried underground in the charging station according to the distribution of parking spaces, and a cable interface that can be connected to the connecting cable is reserved at the ground exit position of each charging device, so that the charging interface can provide mobile charging services for electric vehicles. The connecting cable is equipped with an automatic wire take-up device to connect the charging cable and the charging interface to realize the transmission of electric energy and charging data. The charging interface is used to realize the functions of vehicle power collection and upload, charging access and exit.

[0014] Preferably, the underground track is laid around the parking space according to a certain path, which should not only meet the location requirements of the charging station body and the ground exit, but also coordinate with the location of the charging cable interface buried underground.

[0015] Preferably, the ground outlet is composed of a lifting device, a cover plate and a vehicle identification device, and the lifting position of the charging device is intelligently selected according to the position of the car charging port selected by the user; the lifting device is used to realize the automatic lifting and lowering of the charging device; the cover plate cooperates with the lifting device to realize the appearance and hiding of the charging device; when the charging device is in place and charging is authorized, the cover plate opens and the charging device automatically rises; when charging is completed, the charging device is automatically retracted and lowered, and the cover plate automatically closes; the vehicle identification device is installed on the top of the cover plate, which is used to realize license plate recognition and upload information to the operation terminal.

[0016] Preferably, the operation terminal is wirelessly interconnected and communicated with the charging station body, the charging device, the underground track, and the ground exit respectively, and is composed of a vehicle information confirmation unit and a charging mode unit. The vehicle information confirmation unit is used to realize the display of license plate information, location information and user verification and confirmation functions. The charging mode unit is composed of an emergency mode, a reservation mode and an intelligent mode. The emergency mode means that when the vehicle is seriously short of power or urgently needs to be used, the user needs to complete all or part of the charging operation in a short time to meet the user's charging needs in an emergency state. The reservation mode means that the user sets the charging duration, charging start time and other contents on the operation terminal by himself to meet the user's personalized needs. The intelligent mode means that the power control system pre-configures the charging device, collects the corresponding vehicle power stock information and uploads it to the power control system, and then intelligently plans the charging start time and charging duration, and resets the charging device at the same time, meeting the charging management system's scheduling needs for charging resources and the user's requirements for economy and convenience.

[0017] Preferably, the charging intelligent planning module determines the emergency mode, reservation mode and intelligent mode as three priorities in turn according to the urgency of each charging mode; then, based on the charging priority and the order of submitting charging requirements, the charging start time and duration of each electric vehicle are intelligently planned, and the charging plan of this station is reasonably arranged.

[0018] Preferably, the charging power prediction module performs "decomposition-prediction-reconstruction" on the charging power curves of the charging station at different time scales such as within the day and within the week based on the VMD-LSTM model.

[0019] Preferably, the charging power prediction module normalizes the existing charging power data, decomposes it into multiple modal components with different center frequencies using a variational mode decomposition algorithm, and then uses a long short-term memory neural network to predict each modal component separately, sums the predicted values ​​of each modal component and obtains charging power prediction results on different time scales such as within the day and within the week after denormalization, actively providing reliable data reference for power grid load scheduling.

[0020] The beneficial effects of the present invention are as follows: 1. The present invention adopts a movable and hidden charging device to realize "one charging pile for multiple cars" and "one charging pile for multiple parking spaces", which efficiently utilizes parking space and alleviates the problem of parking resource shortage;

[0021] 2. The operation terminal adopts an interactive design, allowing users to independently select the location of the vehicle charging port, avoiding the problem of insufficient connection cable length or vehicles occupying multiple parking spaces;

[0022] 3. Design multiple charging modes such as emergency, appointment, and smart, and intelligently plan the charging sequence for different users to effectively meet the personalized needs of users and promote flexible and intelligent charging of electric vehicles;

[0023] 4. Develop a charging power prediction module based on the VMD-LSTM model, which can achieve a more accurate prediction of charging power, actively connect to grid load scheduling and provide reliable data reference, which is conducive to maintaining the safe and stable operation of the grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a plan view of the present invention;

[0025] Figure 2 is a control flow chart of the present invention;

[0026] Figure 3 This is a control flow chart of the charging power prediction module in the present invention;

[0027] Figure 4 This is the basic structure diagram of the long short-term memory neural network (LSTM) in the present invention. DETAILED DESCRIPTION

[0028] The specific implementation of the present invention is described in detail below with reference to the accompanying drawings and preferred embodiments.

[0029] like Figure 1 As shown, a hidden, movable intelligent charging management system includes a charging station body, a charging device 1, an underground track 2, a ground exit 3, a charging cable 4, an operation terminal 5, a charging intelligent planning module and a charging power prediction module;

[0030] The main body of the charging station is connected to the mains electricity to realize the power supply of the charging device.

[0031] The charging device 1 moves along the underground track and is connected to the charging station body through a charging cable 4 buried underground, so as to provide charging services for electric vehicles.

[0032] The underground track 2 is laid underground in the parking lot of the charging station and is used to move the charging device between various ground exits.

[0033] The ground exit 3 is arranged at each parking space for realizing the lifting and hiding of the charging device and completing the vehicle information identification.

[0034] The operation terminal 5 is set up inside the charging station to realize user interaction and demand collection, and complete functions such as vehicle and account information confirmation, charging mode selection, and reservation setting.

[0035] The charging intelligent planning module is used to provide reasonable power planning for users with different types of needs.

[0036] The charging power prediction module is used to analyze and predict the charging power of charging stations at different time scales such as within the day and within the week.

[0037] As a further embodiment of the present invention:

[0038] The main body of the charging station is composed of an energy storage system 6 and an electric energy control system 7. The energy storage system is composed of multiple groups of capacitors, which are used to realize the power supply in the case of short-term energy loss and ensure the normal and stable operation of the charging station. The electric energy control system is used to realize functions such as power configuration, power metering, and energy storage system power monitoring.

[0039] The charging device is composed of a charging pole 8, a charging cable, a connecting cable, and a charging interface 9. The charging pole is made of insulating material and has automatic telescopic ability and certain supporting performance. The charging cable is buried underground in the charging station according to the distribution of parking spaces, and a cable interface that can be connected to the connecting cable is reserved at the ground exit position of each charging device, so that the charging interface can provide mobile charging services for electric vehicles. The connecting cable is equipped with an automatic wire take-up device to connect the charging cable and the charging interface to realize the transmission of electric energy and charging data. The charging interface is used to realize the functions of vehicle power collection and upload, charging access and exit.

[0040] The underground track is laid around the parking space according to a certain path, which should not only meet the location requirements of the charging station body and the ground exit, but also coordinate with the location of the charging cable interface buried underground.

[0041] The ground exit is composed of a lifting device, a cover plate, and a vehicle identification device, and the lifting position of the charging device can be intelligently selected according to the position of the car charging port selected by the user. The lifting device is used to realize the automatic lifting and lowering of the charging device. The cover plate has an automatic opening and closing function, and cooperates with the lifting device to realize the appearance and hiding of the charging device. When the charging device is in place and charging is authorized, the cover plate opens and the charging device automatically rises; when charging is completed, the charging device automatically retracts and lands, and the cover plate automatically closes. The vehicle identification device is installed on the top of the cover plate to realize license plate recognition and upload information to the operation terminal.

[0042] The operation terminal communicates wirelessly with the charging station body, charging device, underground track, and ground exit, and is composed of a vehicle information confirmation unit and a charging mode unit. The vehicle information confirmation unit is used to display license plate information, location information, and user verification and confirmation functions. The charging mode unit is composed of an emergency mode, a reservation mode, and an intelligent mode. The emergency mode means that when the vehicle is seriously short of power or in urgent need of a vehicle, the user needs to complete all or part of the charging operation in a short time to meet the user's charging needs in an emergency. The reservation mode means that the user sets the charging duration, charging start time, and other contents on the operation terminal to meet the user's personalized needs. The intelligent mode means that the power control system pre-configures the charging device, collects the corresponding vehicle power stock information and uploads it to the power control system, and then intelligently plans the charging start time and charging duration, and resets the charging device at the same time, meeting the charging management system's scheduling needs for charging resources and the user's requirements for economy and convenience.

[0043] The charging intelligent planning module determines the emergency mode, reservation mode, and intelligent mode as three priorities according to the urgency of each charging mode. Afterwards, according to the charging priority and the order of submitting charging requirements, the charging start time and duration of each electric vehicle are intelligently planned, and the charging plan of this station is reasonably arranged.

[0044] The charging power prediction module performs "decomposition-prediction-reconstruction" on the charging power curves of different time scales such as within the day and within the week of the charging station based on the VMD-LSTM model. The module normalizes the existing charging power data, decomposes it into multiple modal components with different center frequencies using the variational mode decomposition algorithm, and then uses the long short-term memory neural network to predict each modal component separately. The predicted values ​​of each modal component are summed and denormalized to obtain the charging power prediction results of different time scales such as within the day and within the week, actively providing reliable data reference for power grid load scheduling.

[0045] Based on the above technical solutions, the present invention utilizes advanced technologies in the fields of the Internet of Things and electricity to propose a hidden, movable intelligent charging management system, designs the automatic movement, lifting, and hiding functions of the charging device, realizes "multiple cars and one pile" and "multiple locations and one pile", and improves the utilization rate of space and charging resources; designs multiple charging modes such as emergency, appointment, and intelligent, and intelligently plans the charging sequence according to the needs of different users, effectively meets the personalized needs of users, and promotes the flexibility and intelligence of electric vehicle charging; develops a charging power prediction module based on the VMD-LSTM model, actively connects to the power grid load scheduling and provides reliable data reference, which is conducive to maintaining the safe and stable operation of the power grid.

[0046] like Figure 2 As shown, Figure 2It is a control flow chart of the present invention, and the specific steps are:

[0047] (1) Charging preparation

[0048] When the user drives the electric vehicle into the parking space, the vehicle identification device starts and detects the vehicle license plate, and uploads the license plate information to the operation terminal. The user confirms the license plate and account information on the operation terminal and selects the location of the electric vehicle charging port.

[0049] (2) Mode selection

[0050] 1) Emergency mode

[0051] The user selects the emergency mode through the operation terminal according to his own needs and sets the charging time. The power control system quickly configures the power and charging device, and the charging device travels along the underground track to the command position. When the ground cover detects the arrival of the charging device, the cover automatically opens. The lifting device raises the charging device to the set position and then stops. The charging rod of the charging device automatically extends to the appropriate position and remains upright. The charging interface and the vehicle charging port are automatically identified and connected, and charging begins.

[0052] 2) Appointment mode

[0053] The user reserves the charging start time and duration, and the power control system pre-configures the power and charging device. When the scheduled charging time arrives, the charging device moves along the underground track to the command position. When the ground cover detects the arrival of the charging device, the cover automatically opens. The lifting device raises the charging device to the set position and then stops. The charging rod of the charging device automatically extends to the appropriate position and remains upright. The charging interface and the vehicle charging port are automatically identified and connected, and charging begins.

[0054] 3) Smart Mode

[0055] The electric energy control system pre-configures the charging device, which travels along the underground track to the command position. When the ground cover detects the arrival of the charging device, the cover automatically opens. The lifting device lifts the charging device to the set position and then stops. The charging pole of the charging device automatically extends to the appropriate position and remains upright. The charging interface and the vehicle charging port are automatically identified and connected, the vehicle's power reserves are collected and the information is uploaded to the electric energy control system. The charging intelligent planning system pre-configures power for the vehicle and determines the charging start time and charging duration. Then, the charging interface exits, the charging port is closed, the charging pole is retracted, the charging device is lowered and hidden, the cover is closed, the charging device is reset or executes a new command, and waits for the intelligent charging start time to arrive.

[0056] (3) Intelligent charging planning

[0057] According to the urgency of each charging mode, emergency mode, reservation mode and smart mode are identified as three priorities in descending order.

[0058] 1) First priority (emergency mode)

[0059] For users who choose "emergency mode", the power control system quickly configures power and charging devices and determines the charging order according to the order in which the charging applications are submitted.

[0060] 2) Second priority (appointment mode)

[0061] For users who choose the "reservation mode", the intelligent charging planning system prepares a charging plan based on the charging start time and charging duration selected by them, and the power control system configures power and charging devices according to the plan to start charging operations. If the reservation time is the same, the charging order is determined according to the order in which the charging application is submitted.

[0062] 3) Third priority (smart mode)

[0063] For users who choose "smart mode", the power control system collects the vehicle's power reserves, and the charging intelligent planning system calculates the estimated charging time required for this charging task, and determines the charging order based on this indicator. Vehicles with longer estimated charging times are given priority. If the estimated charging time is the same, the charging order is determined in the order in which the charging applications are submitted. When the planned charging time arrives, the power control system configures the power and charging device and starts the charging operation.

[0064] (4) Charging completed

[0065] After charging is completed, the charging interface is withdrawn, the charging port is closed, the charging rod is automatically retracted and reset, the charging device is lowered (hidden), the cover is closed, and the charging device is reset or a new instruction is executed.

[0066] like Figure 3 As shown, Figure 3 This is a control flow chart of the charging power prediction module in the present invention, and the specific steps are:

[0067] (1) Data preprocessing

[0068] Obtain the current daily and weekly charging power curves of the charging station. In order to facilitate modal decomposition and prediction, the original data needs to be normalized, as shown in the following formula.

[0069]

[0070] (2) Charging power curve prediction

[0071] In order to decompose the original charging power curve into multiple modes, the following constrained variational problem needs to be constructed:

[0072]

[0073] in, is the number of modes obtained after decomposition, are the modal components obtained after decomposition, For each modal component The central angular frequency, is a function of time t The partial derivative of is the impulse function, is the sum of all modal components, is the charging power data to be decomposed.

[0074] In order to obtain the optimal solution to the constrained variational problem, the Lagrange multiplier and the quadratic penalty factor are introduced. , construct the unconstrained variational problem described by the following formula:

[0075]

[0076] The alternating direction multiplier method is used to iteratively update each modal component. , and the frequency domain iterative form of each modal component is obtained, as shown in the following formula:

[0077]

[0078] In the frequency domain, the center angular frequency , Lagrange multipliers Iterative updates are also performed, and the iteration form is as follows:

[0079]

[0080] For each modal component and its central angular frequency , Lagrange multipliers Continuously perform iterative updates and cyclically search for the optimal solution until the convergence condition described in the following formula is met:

[0081]

[0082] Output the modal components at this time , using the long short-term memory neural network (LSTM) to predict each modal component separately. The prediction results of each modal component are summed and denormalized to obtain the daily and weekly predicted charging power curves, thereby providing a reliable data reference for power grid load scheduling.

[0083] like Figure 4 As shown, Figure 4 This is the basic structure diagram of the long short-term memory neural network (LSTM) in the present invention, and the specific steps are:

[0084] (1) Forget Gate

[0085] The function of the forget gate is to selectively retain part of the information in long-term memory and discard unimportant information. The mathematical expression of the forget gate is:

[0086]

[0087] in, is the output value of the model at the previous moment, is the input value at the current moment, is the output value of the current forget gate. is the state weight matrix of the forget gate, is the state bias term of the forget gate. It is an activation function, which compresses each element of the input signal to the interval [0,1]. The Sigmoid function can be selected as the activation function.

[0088] (2) Input gate

[0089] The function of the input gate is to filter the input information and store the information of this node. The mathematical expression of the input gate is:

[0090]

[0091] in, is the output value of the current input gate, is the state of the memory cell, is the state of the memory unit after updating. , is the state weight matrix of the input gate and input unit, , is the state bias term of the input gate and input unit, is the Hadamard product. tanh is the hyperbolic tangent function, which is also an activation function.

[0092] (3) Output gate

[0093] The function of the output gate is to filter the output data and determine the output value. The mathematical expression of the output gate is:

[0094]

[0095] in, is the output value of the current output gate, is the output value at the current moment. is the state weight matrix of the output gate, is the state bias term of the output gate.

[0096] It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A hidden, portable intelligent charging management system, characterized by: It includes the charging station body, charging device, underground track, ground exit, operation terminal, charging intelligent planning module and charging power prediction module; The charging station body is connected to the mains electricity to realize the power supply of the charging device; The charging device moves along the underground track and is connected to the charging station body through a charging cable buried underground, so as to provide charging services to the electric vehicles; The underground track is laid underground in the parking lot of the charging station and is used to move the charging device between various ground exits; The ground exit is arranged at each parking space to realize the lifting and hiding of the charging device and complete the vehicle information identification; The operation terminal is set up inside the charging station to realize user interaction and demand collection, complete vehicle and account information confirmation, charging mode selection and reservation setting functions; The charging intelligent planning module is used to provide reasonable power planning for users with different types of needs; The charging power prediction module is used to analyze and predict the charging power of the charging station at different time scales within the day and week; The operating terminal wirelessly communicates with the charging station body, charging device, underground track and ground exit respectively, and is composed of a vehicle information confirmation unit and a charging mode unit; the vehicle information confirmation unit is used to display the license plate information and location information and verify and confirm the user; the charging mode unit is composed of an emergency mode, a reservation mode and an intelligent mode; the emergency mode means that when the user's vehicle is seriously short of power or urgently needs a vehicle, all or part of the charging operation needs to be completed in a short time to meet the user's charging needs in an emergency state; the reservation mode means that the user sets the charging duration and charging start time on the operating terminal by himself; the intelligent mode means that the power control system pre-configures the charging device, collects the corresponding vehicle power stock information and uploads it to the power control system, and then intelligently plans the charging start time and charging duration, and resets the charging device at the same time.

2. The hidden, portable intelligent charging management system according to claim 1 is characterized by: The main body of the charging station is composed of an energy storage system and an electric energy control system. The energy storage system is composed of multiple groups of capacitors, which are used to realize the power supply in the case of short-term energy loss; The electric energy control system is used to realize electric energy configuration, electric energy metering and energy storage system power monitoring.

3. The hidden, portable intelligent charging management system according to claim 1 is characterized by: The charging device consists of a charging pole, a charging cable, a connecting cable and a charging interface; the charging pole is made of insulating material; the charging cable is buried underground in the charging station according to the distribution of parking spaces, and a cable interface that can be connected to the connecting cable is reserved at the ground exit of each charging device, so that the charging interface provides mobile charging services for electric vehicles; the connecting cable is equipped with an automatic wire winder, which connects the charging cable and the charging interface to realize the transmission of electric energy and charging data; the charging interface is used to realize vehicle power collection and upload, charging access and exit.

4. The hidden, portable intelligent charging management system according to claim 1 is characterized by: The underground track is laid around the parking space and is coordinated with the charging cable interface buried underground.

5. The hidden, portable intelligent charging management system according to claim 1 is characterized by: The ground exit is composed of a lifting device, a cover plate and a vehicle identification device, and the lifting position of the charging device is intelligently selected according to the position of the car charging port selected by the user; the lifting device is used to realize the automatic lifting and lowering of the charging device; the cover plate cooperates with the lifting device to realize the appearance and hiding of the charging device; when the charging device is in place and charging is authorized, the cover plate opens and the charging device automatically rises; when charging is completed, the charging device is automatically retracted and lowered, and the cover plate automatically closes; the vehicle identification device is installed on the top of the cover plate, which is used to realize license plate recognition and upload information to the operation terminal.

6. The hidden, portable intelligent charging management system according to claim 1 is characterized by: The charging intelligent planning module determines the emergency mode, reservation mode, and intelligent mode as three priorities in turn according to the urgency of each charging mode; then, based on the charging priority and the order in which the charging requirements are submitted, the charging start time and duration of each electric vehicle are intelligently planned, and the charging plan of this station is reasonably arranged.

7. The hidden, portable intelligent charging management system according to claim 1 is characterized by: The charging power prediction module performs "decomposition-prediction-reconstruction" on the charging power curves of different time scales such as within the day and within the week of the charging station based on the VMD-LSTM model.

8. The hidden, portable intelligent charging management system according to claim 7 is characterized by: The charging power prediction module normalizes the existing charging power data, decomposes it into multiple modal components with different center frequencies using a variational mode decomposition algorithm, and then uses a long short-term memory neural network to predict each modal component separately. The predicted values ​​of each modal component are summed and denormalized to obtain charging power prediction results on different time scales such as within the day and within the week, actively providing reliable data reference for power grid load scheduling.

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