CN111591154A - Dynamic Magnetically Coupled Resonant Array Method and System for Wireless Charging of Electric Vehicles - Google Patents

Abstract

The invention belongs to the technical field of wireless charging, and discloses a dynamic magnetic coupling resonant array method and a system for supporting wireless charging of an electric automobile, wherein the dynamic magnetic coupling resonant array system for supporting wireless charging of the electric automobile comprises: the device comprises an electric quantity detection module, a current and voltage detection module, a charging abnormity detection module, an abnormity early warning module, a data transmission module, a central control module, a wireless charging module, a timing module, a wireless driving module, a load data processing module, a data storage module, a terminal module and a display module. According to the invention, the current monitoring is carried out on the charging interface, and whether the charging process is abnormal or not is detected, so that whether the charging process is abnormal or not can be effectively monitored, and the charging safety is improved; meanwhile, the technical problem that the charging load demand data of the electric automobile cannot be accurately acquired in the prior art is solved through the load data processing module, and the charging load demand data related to the driving rule characteristic of the electric automobile can be accurately acquired.

Description

Dynamic Magnetically Coupled Resonant Array Method and System for Wireless Charging of Electric Vehicles

technical field

The invention belongs to the technical field of wireless charging, and in particular relates to a dynamic magnetic coupling resonant array method and system for supporting wireless charging of electric vehicles.

Background technique

Wireless charging technology (Wireless charging technology; Wireless charge technology) originates from wireless power transmission technology, which can be divided into two ways: low-power wireless charging and high-power wireless charging. Low-power wireless charging often uses electromagnetic induction, such as the Qi method for charging mobile phones, but ZTE's electric vehicle wireless charging uses induction. High-power wireless charging often adopts resonance type (most electric vehicle charging adopts this method), and the power supply equipment (charger) transmits energy to the power-consuming device, and the device uses the received energy to charge the battery and supply its own power at the same time. for operation. Since the energy is transmitted between the charger and the power-consuming device by a magnetic field, and no wires are connected between the two, the charger and the power-consuming device can have no exposed conductive contacts. However, the existing dynamic magnetic coupling resonant column technology method for supporting wireless mobile charging of electric vehicles cannot detect charging abnormality in time, and the safety is low; at the same time, it is impossible to obtain accurate vehicle charging load data.

To sum up, the existing problems in the prior art are: the existing dynamic magnetic coupling resonant column method for supporting wireless mobile charging of electric vehicles is only suitable for static wireless charging, and cannot realize dynamic wireless charging; the prior art cannot timely detect abnormal charging Detection, safety and charging efficiency are relatively low; at the same time, accurate vehicle charging load data cannot be obtained, and there is a certain high frequency loss.

SUMMARY OF THE INVENTION

In view of the problems existing in the prior art, the present invention provides a dynamic magnetic coupling resonant array method and system for supporting wireless charging of electric vehicles.

The present invention is implemented in this way, a dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles, and the dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles includes the following steps:

Step 1: Detecting the electric vehicle wireless mobile charging electric quantity data through the electricity meter; Detecting the electric current and voltage of the electric vehicle wireless mobile charging through a current and voltage detector;

Step 2, predict the charging load demand of the electric vehicle through the charging load prediction module, and calculate the required time for charging the electric vehicle according to the charging data;

The charging load forecasting method adopted by the charging load forecasting module specifically includes:

First, obtain the standard power consumption, charging power, and initial charging time of various types of electric vehicles, establish an initial charging time model of the electric vehicle according to the initial charging time, and simulate the initial charging time model, extracting a random initial charging time in the initial charging time model;

Then, combining the standard power consumption and the charging power to obtain the required time for charging various types of electric vehicles;

Finally, the charging load prediction curve of each type of electric vehicle is obtained by combining the random starting charging time, the charging time required and the charging power; and the total charging load prediction curve is obtained after superimposing the charging load prediction curve of each type of electric vehicle .

Step 3: Send the detected data to the central controller through the communication device; realize the wireless charging of the electric vehicle by controlling the dynamic magnetic coupling resonant array through the central controller: (1) Improve the dynamic magnetic coupling resonant coil array, and use a multi-layer Multiple transmitting coil arrays realize the transmission of wireless charging;

(2) Adopt multi-layer multiple receiving end resonant coil arrays and capacitor arrays to realize wireless charging reception;

(3) The electromagnetic coupling coefficient between the transmitting coil and the receiving coil is enhanced by the high magnetic conductive rubber column or the magnetic conductive column array made of magnetic conductive rubber or plastic magnetic conductive material installed in the transmitting coil array and the receiving coil array;

Step 4, detect abnormal wireless mobile charging by abnormal detection circuit, and carry out early warning to abnormal charging data by sound and light alarm device: (1) when charging the electric vehicle, obtain the charging curve of the charging interface, wherein the charging curve includes a current a curve corresponding to the current through the charging interface and the charging time;

(II) establishing a charging curve database, and storing the preset normal charging curve in the database; and comparing the charging curve of the charging interface with the preset normal charging curve;

(III) According to the comparison result, detect whether the charging process is abnormal; if there is an abnormality, carry out an early warning to the abnormal charging data through the sound and light alarm device;

Step 5: Record the charging time through a timer; use the charging driver to drive the transmitting coil to perform wireless charging; process the charging load data through a data processing program: 1) collect the driving law data and charging data of multiple electric vehicles in real time through vehicle sensors;

2) performing coupling calculation on the driving rule data to obtain a coupling factor of the driving rule data;

3) performing fitting processing on the driving rule data to obtain probability distribution data of the driving rule data;

4) generating random numbers of driving laws of the plurality of electric vehicles based on the coupling factor and the probability distribution data;

5) Calculating the charging load according to the random number of the driving start time, the random number of the driving end time, the random number of the driving mileage and the charging data, to obtain the charging load data of the plurality of electric vehicles.

Step 6: Realize the remote control of the wireless charging system of the electric vehicle through the mobile terminal, store the detected power data, current and voltage data, abnormal charging data and charging time through the memory chip, and display the detected power data, current and voltage data, and abnormal charging time through the display. Real-time data on charging data and charging time.

Further, in step 2, when the initial charging time model is constructed, the initial charging time of the electric vehicle obtained through data fitting processing satisfies the normal distribution as shown below:

In the formula, x is the initial charging time, that is, the end time of the last trip; μs and σs are the expected and standard deviation of the initial charging time, respectively.

Further, in step 4, when the electric vehicle is charged in the step (1), the charging curve of the charging interface is obtained, including:

When charging the electric vehicle, obtain the charging curve corresponding to the current flowing through the interface of the charging data line and the charging time;

generating a charging power variation curve according to the charging curve of the charging interface;

The comparing the charging curve of the charging interface with a preset normal charging curve includes:

The charging capacity variation curve is compared with a preset normal charging capacity variation curve.

Further, in step 4, the method for establishing charging curve database of described step (II) is as follows:

Create a new database, and set the threshold F according to the abscissa and ordinate of the charging curve; the length of the abscissa of the charging curve is N, the length of the abscissa is M, and the threshold F is a positive integer less than N+M;

Obtain a preset charging curve, generate a character string according to the abscissa and vertical coordinates of the preset charging curve, and determine the mapping rule between the character string and the threshold F;

According to the mapping rule, select F characters in the character string as a data table identifier; determine whether there is a data table corresponding to the identifier in the database: if so, insert the current charging curve into the data table; if not , create a new data table corresponding to the data table identification, and insert the current charging curve into the new data table.

Further, in step 3, the high-precision quartz frequency generator set in the center is used in the wireless mobile charging system to provide a unified resonant signal source for the whole system, and a frequency comparison and control circuit unit is provided at the charging receiving end. When the frequency comparison and control circuit When the unit finds that there is a difference between the resonant frequency of the receiving coil at the receiving end and the resonant frequency of the transmitting unit due to weather and other reasons, it will automatically track and adjust the resonant frequency fine-tuning capacitor in the receiving resonant circuit to make the resonant frequency of the receiving end and the resonant frequency of the transmitting end completely different. same;

an improved dynamic magnetically coupled resonant coil array connected to a resonant frequency trimming capacitor, the resonant point is maintained by selectively paralleling the number of coils in the selectable coil array electrically connected to the driver;

The improved coil array includes a plurality of overlapping coils, a position detection circuit, and a driver circuit; the overlapping coils are arranged in a plurality of layers to form a selectable coil array associated with a charging surface for placing a secondary device; and The selectable array of coils includes a plurality of switches operable to selectively electrically connect a subset of the plurality of coils to the driver circuit for switching between the sub-sets of the plurality of coils Concentrated magnetic field generation;

A position detection circuit can obtain position information about a secondary coil of the secondary device placed on the charging surface; the number of coils in the coil array selectively electrically connected to the driver circuit is the number of the secondary coils of the secondary device placed on the charging surface. A function of the power requirements of the class equipment.

Further, in step 5, the real-time collection of the driving law data and the charging data is realized by the electric vehicle on-board collection terminal installed on the electric vehicle, and the electric vehicle on-board collection terminal transmits the real-time collected data back to the electric vehicle. The remote monitoring center of the car, the remote monitoring center has a database server for storing the data; the on-board acquisition terminal of the electric vehicle is also used to transmit the real-time collected data back to the GPS satellite by wireless communication Remote monitoring center for electric vehicles;

The random number of the driving law includes the random number of the driving start time, the random number of the driving end time, and the random number of the driving mileage; based on the charging power of the plurality of electric vehicles at various times, the fifth formula is used to calculate the driving distance of the plurality of electric vehicles at each time. The first average charging power at the moment, the fifth formula is that the P(t) represents the first average charging power, the M represents the number of iterative calculations, and the number of iterative calculations is expressed in days, so The N represents the number of the plurality of electric vehicles, and the pji(t) represents the charging power of the i-th electric vehicle at time t during the j-th iterative calculation.

Further, in step 5, the driving law data includes the driving start time, driving end time and driving mileage of each driving of the plurality of electric vehicles, wherein the generation of the driving rule is based on the coupling factor and the probability distribution data. The random numbers for the driving laws of multiple electric vehicles include:

Using the probability distribution data to perform sample homogenization processing on the travel start time, the travel end time, and the travel mileage to obtain a random number sequence; wherein the random number sequence includes a travel start time random number sequence , the random number sequence of driving end time and the random number sequence of driving mileage;

generating a multi-dimensional probability distribution function based on the coupling factor, the driving start time random number sequence, the driving end time random number sequence, and the driving mileage random number sequence;

generating, based on the multidimensional probability distribution function, a plurality of groups of multivariate random number pairs whose correlation factors are the coupling factors, wherein the number of groups of the multivariate random number pairs corresponds to the number of the plurality of electric vehicles;

The multiple sets of multivariate random number pairs are converted into the random number of the starting time of travel, the random number of the ending time of traveling, and the random number of the driving mileage.

Another object of the present invention is to provide a dynamic magnetic coupling resonant array system supporting wireless charging of electric vehicles using the dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles. Coupled resonant array systems include:

Electricity detection module, current and voltage detection module, abnormal charging detection module, abnormal early warning module, data transmission module, central control module, wireless charging module, timing module, wireless drive module, load data processing module, data storage module, terminal module, display module.

The power detection module, connected with the data transmission module, is used to detect the power data of the wireless mobile charging of the electric vehicle through the power meter;

The current and voltage detection module is connected with the data transmission module, and is used to detect the current and voltage of the wireless mobile charging of the electric vehicle through the current and voltage detector;

The charging abnormality detection module is connected with the data transmission module, and is used for detecting abnormal data of wireless mobile charging through the abnormality detection circuit;

Abnormal early warning module, connected with the data transmission module, used for early warning of abnormal charging data through the sound and light alarm device;

The data transmission module is connected with the power detection module, the current and voltage detection module, the abnormal charging detection module, the abnormal early warning module and the central control module, and is used for sending the detected data to the central controller through the communication equipment;

The central control module is connected with the data transmission module, wireless charging module, timing module, wireless driving module, load data processing module, data storage module, terminal module and display module, and is used to control the normal operation of each module through the central controller;

The wireless charging module is connected with the central control module and is used to realize the wireless charging of the electric vehicle through the dynamic magnetic coupling resonant array;

Timing module, connected with the central control module, used to record the charging time through the timer;

The wireless drive module is connected with the central control module, and is used for wireless charging by driving the transmitting coil through the charging driver;

The load data processing module, connected with the central control module, is used to process the charging load data through the data processing program;

The data storage module is connected to the central control module, and is used for storing the detected power data, current and voltage data, abnormal charging data and charging time through the memory chip;

The terminal module, connected with the central control module, is used to realize the remote control of the wireless charging system of the electric vehicle through the mobile terminal;

The display module is connected with the central control module and is used for displaying the detected power data, current and voltage data, abnormal charging data and real-time data of charging time through the display.

Another object of the present invention is to provide a computer program product stored on a computer-readable medium, including a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement the aforementioned support for wireless charging of electric vehicles The dynamic magnetic coupling resonant array method.

Another object of the present invention is to provide a computer-readable storage medium storing instructions, when the instructions are executed on a computer, the computer executes the dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles.

The advantages and positive effects of the present invention are: the present invention obtains the charging curve of the charging interface through the abnormality detection module when charging the vehicle, wherein the charging curve includes the curve corresponding to the current flowing through the charging interface and the charging time, and The charging curve of the charging interface is compared with a preset normal charging curve, and according to the comparison result, it is detected whether the charging process is abnormal; by monitoring the current of the charging interface, it is possible to effectively monitor whether there is abnormality in the charging process and improve charging safety. sex.

After collecting the driving law data and charging data of multiple electric vehicles in real time, the load data processing module mines the collected driving law data, and analyzes the coupling relationship between the driving law data. The driving law random number that conforms to the driving law characteristics of electric vehicles; based on the driving law random number that conforms to the driving law characteristics of electric vehicles, the coupling relationship between the driving law data and the charging data collected in real time, the charging load demand is calculated, and the driving law is obtained. The charging load data of multiple electric vehicles related to the characteristics, so that the charging characteristics of electric vehicles during large-scale operation can be predicted based on the collected driving law data and charging data; it solves the problem that the existing technology cannot accurately obtain the charging load demand data of electric vehicles. The technical problem is realized, and the effect of accurately obtaining the charging load demand data related to the driving law characteristics of the electric vehicle is realized.

At the same time, the present invention increases the coupling coefficient and coupling stability of the coil array by improving the vehicle-mounted receiving coil, thereby enhancing the performance of wireless power transmission. According to the charging load curve in the abnormal charging detection, the invention establishes a charging curve database, increases the accuracy of the prediction of the load charging demand, realizes the coordinated control of the power transmitting side and the vehicle charging side, reduces the power transmission loss of the system, and enhances the The stability and interference of power transmission.

Description of drawings

FIG. 1 is a flowchart of a method for a dynamic magnetic coupling resonant array supporting wireless charging of an electric vehicle provided by an embodiment of the present invention.

2 is a structural block diagram of a dynamic magnetic coupling resonant array system supporting wireless charging of electric vehicles provided by an embodiment of the present invention;

In the figure: 1. Electricity detection module; 2. Current and voltage detection module; 3. Charging abnormality detection module; 4. Abnormal early warning module; 5. Data transmission module; 6. Central control module; 7. Wireless charging module; 8. Timing Module; 9. Wireless drive module; 10. Load data processing module; 11. Data storage module; 12. Terminal module; 13. Display module.

FIG. 3 is a flowchart of a method for detecting abnormal data of wireless mobile charging by an abnormality detection circuit according to an embodiment of the present invention.

FIG. 4 is a flowchart of a method for implementing wireless charging of an electric vehicle through a dynamic magnetic coupling resonant array provided by an embodiment of the present invention.

FIG. 5 is a flowchart of a method for processing charging load data through a data processing program provided by an embodiment of the present invention.

Detailed ways

In order to further understand the content, characteristics and effects of the present invention, the following embodiments are exemplified and described in detail below with the accompanying drawings.

The structure of the present invention will be described in detail below with reference to the accompanying drawings.

As shown in FIG. 1 , the dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles provided by the embodiment of the present invention includes the following steps:

S101 , the electric vehicle wireless mobile charging electric quantity data is detected by the electricity meter; the current and voltage of the electric vehicle wireless mobile charging are detected by a current and voltage detector.

S102: Predict the charging load demand of the electric vehicle through the charging load prediction module, and calculate the required time for charging the electric vehicle according to the charging data.

S103, the detected data is sent to the central controller through the communication device; the wireless charging of the electric vehicle is realized by controlling the dynamic magnetic coupling resonant array through the central controller.

S104, the abnormality of the wireless mobile charging is detected by the abnormality detection circuit, and the abnormal charging data is warned by the sound and light alarm device.

S105, recording the charging time through a timer; driving the transmitting coil through a charging driver to perform wireless charging; and processing the charging load data through a data processing program.

S106, realize the remote control of the wireless charging system of the electric vehicle through the mobile terminal, store the detected power data, current and voltage data, abnormal charging data and charging time through the memory chip, and display the detected power data, current and voltage data, and abnormal charging through the display. data and real-time data on charging time.

In S102, the charging load prediction method adopted by the charging load prediction module provided in the embodiment of the present invention specifically includes:

First, obtain the standard power consumption, charging power, and initial charging time of various types of electric vehicles, establish an initial charging time model of the electric vehicle according to the initial charging time, and simulate the initial charging time model, extracting a random initial charging time in the initial charging time model;

Then, combining the standard power consumption and the charging power to obtain the required time for charging various types of electric vehicles;

Finally, the charging load prediction curve of each type of electric vehicle is obtained by combining the random starting charging time, the charging time required and the charging power; and the total charging load prediction curve is obtained after superimposing the charging load prediction curve of each type of electric vehicle .

When the initial charging time model is constructed, the initial charging time of the electric vehicle obtained through data fitting processing satisfies the normal distribution as shown below:

In the formula, x is the initial charging time, that is, the end time of the last trip; μs and σs are the expected and standard deviation of the initial charging time, respectively.

As shown in FIG. 2 , the dynamic magnetic coupling resonant array system for supporting wireless charging of electric vehicles provided by the embodiment of the present invention includes: a power detection module 1, a current and voltage detection module 2, a charging abnormality detection module 3, an abnormality warning module 4, and a data transmission module. Module 5 , central control module 6 , wireless charging module 7 , timing module 8 , wireless driving module 9 , load data processing module 10 , data storage module 11 , terminal module 12 , display module 13 .

The power detection module 1 is connected to the data transmission module 5, and is used to detect the power data of the wireless mobile charging of the electric vehicle through the power meter;

The current and voltage detection 2 is connected to the data transmission module 5, and is used to detect the current and voltage of the wireless mobile charging of the electric vehicle through the current and voltage detector;

The charging abnormality detection module 3 is connected to the data transmission module 5, and is used for detecting abnormal data of wireless mobile charging through the abnormality detection circuit;

The abnormality early warning module 4 is connected with the data transmission module 5, and is used for early warning of abnormal charging data through the sound and light alarm device;

The data transmission module 5 is connected with the power detection module 1, the current and voltage detection module 2, the charging abnormality detection module 3, the abnormality warning module 4, and the central control module 6, and is used for sending the detected data to the central controller through the communication device;

The central control module 6 is connected to the data transmission module 5, the wireless charging module 7, the timing module 8, the wireless driving module 9, the load data processing module 10, the data storage module 11, the terminal module 12, and the display module 13, and is used for central control The controller controls the normal work of each module;

The wireless charging module 7, connected with the central control module 6, is used to realize the wireless charging of the electric vehicle through the dynamic magnetic coupling resonant array;

The timing module 8 is connected with the central control module 6 and is used to record the charging time through the timer;

The wireless driving module 9 is connected with the central control module 6 and is used for driving the transmitting coil through the charging driver for wireless charging;

The load data processing module 10, connected with the central control module 6, is used for processing the charging load data through a data processing program;

The data storage module 11, connected with the central control module 6, is used for storing the detected power data, current and voltage data, abnormal charging data and charging time through the memory chip;

The terminal module 12, connected with the central control module 6, is used to realize the remote control of the wireless charging system of the electric vehicle through the mobile terminal;

The display module 13, connected to the central control module 6, is used for displaying the detected power data, current and voltage data, abnormal charging data and real-time data of charging time through the display.

The present invention will be further described below in conjunction with specific embodiments.

Example 1

The dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles provided by the embodiment of the present invention is shown in FIG. 1 . As a preferred embodiment, as shown in FIG. 3 , the abnormality detection circuit provided by the embodiment of the present invention detects abnormal wireless mobile charging Methods of data include:

S201 , when charging an electric vehicle, obtain a charging curve of a charging interface, wherein the charging curve includes a curve corresponding to the current flowing through the charging interface and the charging time.

S202, establishing a charging curve database, and storing the preset normal charging curve in the database; and comparing the charging curve of the charging interface with the preset normal charging curve.

S203 , according to the comparison result, detect whether the charging process is abnormal; if there is an abnormality, give an early warning to the abnormal charging data through an acousto-optic alarm device.

In the step S201 provided by the embodiment of the present invention, when the electric vehicle is charged, the charging curve of the charging interface is acquired, including:

When charging the electric vehicle, obtain the charging curve corresponding to the current flowing through the interface of the charging data line and the charging time;

generating a charging power variation curve according to the charging curve of the charging interface;

The comparing the charging curve of the charging interface with a preset normal charging curve includes:

The charging capacity variation curve is compared with a preset normal charging capacity variation curve.

The method for establishing a charging curve database in step S202 provided by the embodiment of the present invention is as follows:

Create a new database, and set the threshold F according to the abscissa and ordinate of the charging curve; the length of the abscissa of the charging curve is N, the length of the abscissa is M, and the threshold F is a positive integer less than N+M;

Obtain a preset charging curve, generate a character string according to the abscissa and vertical coordinates of the preset charging curve, and determine the mapping rule between the character string and the threshold F;

According to the mapping rule, select F characters in the character string as a data table identifier; determine whether there is a data table corresponding to the identifier in the database: if so, insert the current charging curve into the data table; if not , create a new data table corresponding to the data table identification, and insert the current charging curve into the new data table.

Example 2

The dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles provided by the embodiment of the present invention is shown in FIG. 1 and FIG. 4 . As a preferred embodiment, the embodiment of the present invention provides an embodiment of the present invention to realize the electric vehicle through the dynamic magnetic coupling resonant array. The methods of wireless charging include:

S301, the dynamic magnetic coupling resonant coil array is improved, and the multi-layer multiple transmitting coil array is used to realize the transmission of wireless charging.

S302 , the wireless charging is realized by adopting a multi-layer and multiple receiving end resonant coil array and a capacitor array.

S303, the electromagnetic coupling coefficient between the transmitting coil and the receiving coil is enhanced by the high magnetic permeability rubber column or the magnetic conductive column array made of magnetic conductive rubber or plastic magnetic conductive material installed in the transmitting coil array and the receiving coil array.

In the wireless mobile charging system provided by the embodiment of the present invention, a high-precision quartz frequency generator set in the center is used to provide a unified resonant signal source for the whole system, and a frequency comparison and control circuit unit is provided at the charging receiving end. When the frequency comparison and control circuit When the unit finds that there is a difference between the resonant frequency of the receiving coil at the receiving end and the resonant frequency of the transmitting unit due to weather and other reasons, it will automatically track and adjust the resonant frequency fine-tuning capacitor in the receiving resonant circuit to make the resonant frequency of the receiving end and the resonant frequency of the transmitting end completely different. same.

The improved dynamic magnetic coupling resonant coil array provided by the embodiment of the present invention is connected with a resonant frequency trimming capacitor, and the resonant point is maintained by selectively connecting the number of coils electrically connected to the driver in parallel in the selectable coil array. ; the improved coil array includes a plurality of overlapping coils, a position detection circuit and a driver circuit; the overlapping coils are arranged in a plurality of layers to form selectable coils associated with a charging surface for placement of a secondary device an array; the selectable coil array including a plurality of switches operable to selectively electrically connect a subset of the plurality of coils to the driver circuit for switching between the plurality of coils a magnetic field is generated in the subset; the position detection circuit can obtain position information about a secondary coil of the secondary device placed on the charging surface; the coil array is selectively electrically connected to the The number of coils of the driver circuit is a function of the power requirements of the secondary device.

Example 3

The dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles provided by the embodiment of the present invention is shown in FIG. 1 and FIG. 5 . As a preferred embodiment, the charging load data is processed by a data processing program provided by the embodiment of the present invention. Methods of processing include:

S401 , collecting driving law data and charging data of a plurality of electric vehicles in real time through vehicle sensors.

S402: Perform coupling calculation on the driving rule data to obtain a coupling factor of the driving rule data.

S403 , performing fitting processing on the driving rule data to obtain probability distribution data of the driving rule data.

S404. Generate random numbers of driving laws of the plurality of electric vehicles based on the coupling factor and the probability distribution data.

S405: Calculate the charging load according to the random number of the starting time of driving, the random number of the ending time of driving, the random number of the driving mileage, and the charging data, so as to obtain the charging load data of the plurality of electric vehicles.

The real-time collection of the driving law data and the charging data provided by the embodiment of the present invention is realized through the electric vehicle on-board collection terminal installed on the electric vehicle, and the electric vehicle on-board collection terminal transmits the real-time collected data back to the electric vehicle. A remote monitoring center, where a database server is set up to store the data; the electric vehicle vehicle-mounted collection terminal is also used to transmit the real-time collected data back to the electric vehicle by means of wireless communication through GPS satellites remote monitoring center;

The random number of the driving law provided by the embodiment of the present invention includes a random number of the starting time of driving, the random number of the ending time of driving, and the random number of the driving mileage; based on the charging power of multiple electric vehicles at various times, the fifth formula is used to calculate the multiple The first average charging power of the electric vehicle at each moment, the fifth formula is that the P(t) represents the first average charging power, the M represents the number of iterative calculations, and the number of the iterative calculations is in days day represents, the N represents the number of the plurality of electric vehicles, and the pji(t) represents the charging power of the i-th electric vehicle at time t during the j-th iterative calculation.

The driving rule data provided by the embodiment of the present invention includes the driving start time, driving end time, and driving distance of each driving of the plurality of electric vehicles, wherein the plurality of electric vehicles are generated based on the coupling factor and the probability distribution data. The random numbers for the driving laws of electric vehicles include:

Using the probability distribution data to perform sample homogenization processing on the travel start time, the travel end time, and the travel mileage to obtain a random number sequence; wherein the random number sequence includes a travel start time random number sequence , the random number sequence of driving end time and the random number sequence of driving mileage;

generating a multi-dimensional probability distribution function based on the coupling factor, the driving start time random number sequence, the driving end time random number sequence, and the driving mileage random number sequence;

generating, based on the multidimensional probability distribution function, a plurality of groups of multivariate random number pairs whose correlation factors are the coupling factors, wherein the number of groups of the multivariate random number pairs corresponds to the number of the plurality of electric vehicles;

The multiple sets of multivariate random number pairs are converted into the random number of the starting time of travel, the random number of the ending time of traveling, and the random number of the driving mileage.

In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented in whole or in part in the form of a computer program product, the computer program product includes one or more computer instructions. When the computer program instructions are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer may be a general purpose computer, special purpose computer, computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server or data center Transmission to another website site, computer, server, or data center by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL), or wireless (eg, infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, a data center, or the like that includes an integration of one or more available media. The usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), among others.

The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited to this. Any person skilled in the art is within the technical scope disclosed by the present invention, and all within the spirit and principle of the present invention Any modifications, equivalent replacements and improvements made within the scope of the present invention should be included within the protection scope of the present invention.

Claims (10)

1. A dynamic magnetic coupling resonant array method supporting wireless charging of electric vehicles, characterized in that the dynamic magnetic coupling resonant array method supporting wireless charging of electric vehicles comprises the following steps: Step 1: Detecting the electric vehicle wireless mobile charging electric quantity data through the electricity meter; Detecting the electric current and voltage of the electric vehicle wireless mobile charging through a current and voltage detector; Step 2, predict the charging load demand of the electric vehicle through the charging load prediction module, and calculate the required time for charging the electric vehicle according to the charging data; The charging load forecasting method adopted by the charging load forecasting module specifically includes: First, obtain the standard power consumption, charging power, and initial charging time of various types of electric vehicles, establish an initial charging time model of the electric vehicle according to the initial charging time, and simulate the initial charging time model, extracting a random initial charging time in the initial charging time model; Then, combining the standard power consumption and the charging power to obtain the required time for charging various types of electric vehicles; Finally, the charging load prediction curve of each type of electric vehicle is obtained by combining the random starting charging time, the charging time required and the charging power; and the total charging load prediction curve is obtained after superimposing the charging load prediction curve of each type of electric vehicle ; Step 3: Send the detected data to the central controller through the communication device; realize the wireless charging of the electric vehicle by controlling the dynamic magnetic coupling resonant array through the central controller: (1) Improve the dynamic magnetic coupling resonant coil array, and use a multi-layer Multiple transmitting coil arrays realize the transmission of wireless charging; (2) Adopt multi-layer multiple receiving end resonant coil arrays and capacitor arrays to realize wireless charging reception; (3) The electromagnetic coupling coefficient between the transmitting coil and the receiving coil is enhanced by the high magnetic conductive rubber column or the magnetic conductive column array made of magnetic conductive rubber or plastic magnetic conductive material installed in the transmitting coil array and the receiving coil array; Step 4, detect abnormal wireless mobile charging by abnormal detection circuit, and carry out early warning to abnormal charging data by sound and light alarm device: (1) when charging the electric vehicle, obtain the charging curve of the charging interface, wherein the charging curve includes a current a curve corresponding to the current through the charging interface and the charging time; (II) establishing a charging curve database, and storing the preset normal charging curve in the database; and comparing the charging curve of the charging interface with the preset normal charging curve; (III) According to the comparison result, detect whether the charging process is abnormal; if there is an abnormality, carry out an early warning to the abnormal charging data through the sound and light alarm device; Step 5: Record the charging time through a timer; use the charging driver to drive the transmitting coil to perform wireless charging; process the charging load data through a data processing program: 1) collect the driving law data and charging data of multiple electric vehicles in real time through vehicle sensors; 2) performing coupling calculation on the driving rule data to obtain a coupling factor of the driving rule data; 3) performing fitting processing on the driving rule data to obtain probability distribution data of the driving rule data; 4) generating random numbers of driving laws of the plurality of electric vehicles based on the coupling factor and the probability distribution data; 5) Calculating the charging load according to the random number of the driving start time, the random number of the driving end time, the random number of the driving mileage and the charging data, to obtain the charging load data of the plurality of electric vehicles; Step 6: Realize the remote control of the wireless charging system of the electric vehicle through the mobile terminal, store the detected power data, current and voltage data, abnormal charging data and charging time through the memory chip, and display the detected power data, current and voltage data, and abnormal charging time through the display. Real-time data on charging data and charging time. 2. The dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles as claimed in claim 1, wherein in step 2, when the initial charging time model is constructed, the starting time of the electric vehicle is obtained through data fitting processing. The initial charging time satisfies the normal distribution as shown below:

In the formula, x is the initial charging time, that is, the end time of the last trip; μs and σs are the expected and standard deviation of the initial charging time, respectively. 3. the dynamic magnetic coupling resonant array method of supporting electric vehicle wireless charging as claimed in claim 1, is characterized in that, in step 4, in described step (1), when electric vehicle is charged, obtain the charging curve of charging interface ,include: When charging the electric vehicle, obtain the charging curve corresponding to the current flowing through the interface of the charging data line and the charging time; generating a charging power variation curve according to the charging curve of the charging interface; The comparing the charging curve of the charging interface with a preset normal charging curve includes: The charging capacity variation curve is compared with a preset normal charging capacity variation curve. 4. The dynamic magnetic coupling resonant array method of supporting electric vehicle wireless charging as claimed in claim 1, is characterized in that, in step 4, the method for establishing charging curve database of described step (II) is as follows: Create a new database, and set the threshold F according to the abscissa and ordinate of the charging curve; the length of the abscissa of the charging curve is N, the length of the abscissa is M, and the threshold F is a positive integer less than N+M; Obtain a preset charging curve, generate a character string according to the abscissa and vertical coordinates of the preset charging curve, and determine the mapping rule between the character string and the threshold F; According to the mapping rule, select F characters in the character string as a data table identifier; determine whether there is a data table corresponding to the identifier in the database: if so, insert the current charging curve into the data table; if not , create a new data table corresponding to the data table identification, and insert the current charging curve into the new data table. 5. The dynamic magnetic coupling resonant array method for supporting the wireless charging of electric vehicles as claimed in claim 1, is characterized in that, in step 3, the high-precision quartz frequency generator set at the center is adopted in the wireless mobile charging system to provide a unified system for the whole system. A frequency comparison and control circuit unit is provided at the charging receiving end. When the frequency comparison and control circuit unit finds that there is a difference between the resonant frequency of the receiving coil at the receiving end and the resonant frequency of the transmitting unit due to weather and temperature, the Automatically track and adjust the resonant frequency fine-tuning capacitor in the receiving resonant circuit to make the resonant frequency of the receiving end exactly the same as the resonant frequency of the transmitting end; an improved dynamic magnetically coupled resonant coil array connected to a resonant frequency trimming capacitor, the resonant point is maintained by selectively paralleling the number of coils in the selectable coil array electrically connected to the driver; The improved coil array includes a plurality of overlapping coils, a position detection circuit, and a driver circuit; the overlapping coils are arranged in a plurality of layers to form a selectable coil array associated with a charging surface for placing a secondary device; and The selectable array of coils includes a plurality of switches operable to selectively electrically connect a subset of the plurality of coils to the driver circuit for switching between the sub-sets of the plurality of coils Concentrated magnetic field generation; A position detection circuit can obtain position information about a secondary coil of the secondary device placed on the charging surface; the number of coils in the coil array selectively electrically connected to the driver circuit is the number of the secondary coils of the secondary device placed on the charging surface. A function of the power requirements of the class equipment. 6. The dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles as claimed in claim 1, wherein in step 5, the real-time collection of the driving law data and the charging data is installed on the electric vehicle It is realized by the on-board acquisition terminal of the electric vehicle, which transmits the data collected in real time back to the remote monitoring center of the electric vehicle, and the remote monitoring center has a database server for storing the data; The vehicle-mounted acquisition terminal is also used to transmit the real-time collected data back to the remote monitoring center of the electric vehicle by means of wireless communication through GPS satellites; The random number of the driving law includes the random number of the driving start time, the random number of the driving end time, and the random number of the driving mileage; based on the charging power of the plurality of electric vehicles at various times, the fifth formula is used to calculate the driving distance of the plurality of electric vehicles at each time. The first average charging power at the moment, the fifth formula is that the P(t) represents the first average charging power, the M represents the number of iterative calculations, and the number of iterative calculations is expressed in days, so The N represents the number of the plurality of electric vehicles, and the pji(t) represents the charging power of the i-th electric vehicle at time t during the j-th iterative calculation. 7 . The dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles according to claim 1 , wherein, in step 5, the driving law data includes the driving start time of each driving of the plurality of electric vehicles. 8 . , the driving end time, and the driving mileage, wherein generating the random numbers of the driving laws of the plurality of electric vehicles based on the coupling factor and the probability distribution data includes: Using the probability distribution data to perform sample homogenization processing on the travel start time, the travel end time, and the travel mileage to obtain a random number sequence; wherein the random number sequence includes a travel start time random number sequence , the random number sequence of driving end time and the random number sequence of driving mileage; generating a multi-dimensional probability distribution function based on the coupling factor, the driving start time random number sequence, the driving end time random number sequence, and the driving mileage random number sequence; generating, based on the multidimensional probability distribution function, a plurality of groups of multivariate random number pairs whose correlation factors are the coupling factors, wherein the number of groups of the multivariate random number pairs corresponds to the number of the plurality of electric vehicles; The multiple sets of multivariate random number pairs are converted into the random number of the starting time of travel, the random number of the ending time of traveling, and the random number of the driving mileage. 8 . A dynamic magnetic coupling resonant array system supporting wireless charging of electric vehicles using the dynamic magnetic coupling resonant array method for supporting wireless charging of electric vehicles according to any one of claims 1 to 7 , wherein the supporting The dynamic magnetic coupling resonant array system for wireless charging of electric vehicles includes: Electricity detection module, current and voltage detection module, abnormal charging detection module, abnormal early warning module, data transmission module, central control module, wireless charging module, timing module, wireless drive module, load data processing module, data storage module, terminal module, display module; The power detection module, connected with the data transmission module, is used to detect the power data of the wireless mobile charging of the electric vehicle through the power meter; The current and voltage detection module is connected with the data transmission module, and is used to detect the current and voltage of the wireless mobile charging of the electric vehicle through the current and voltage detector; The charging abnormality detection module is connected with the data transmission module, and is used for detecting abnormal data of wireless mobile charging through the abnormality detection circuit; Abnormal early warning module, connected with the data transmission module, used for early warning of abnormal charging data through the sound and light alarm device; The data transmission module is connected with the power detection module, the current and voltage detection module, the abnormal charging detection module, the abnormal early warning module and the central control module, and is used for sending the detected data to the central controller through the communication equipment; The central control module is connected with the data transmission module, wireless charging module, timing module, wireless driving module, load data processing module, data storage module, terminal module and display module, and is used to control the normal operation of each module through the central controller; The wireless charging module is connected with the central control module and is used to realize the wireless charging of the electric vehicle through the dynamic magnetic coupling resonant array; Timing module, connected with the central control module, used to record the charging time through the timer; The wireless drive module is connected with the central control module, and is used for wireless charging by driving the transmitting coil through the charging driver; The load data processing module, connected with the central control module, is used to process the charging load data through the data processing program; The data storage module is connected to the central control module, and is used for storing the detected power data, current and voltage data, abnormal charging data and charging time through the memory chip; The terminal module, connected with the central control module, is used to realize the remote control of the wireless charging system of the electric vehicle through the mobile terminal; The display module is connected with the central control module and is used for displaying the detected power data, current and voltage data, abnormal charging data and real-time data of charging time through the display. 9. A computer program product stored on a computer-readable medium, comprising a computer-readable program for providing a user input interface to implement the support motor according to any one of claims 1 to 7 when executed on an electronic device Dynamic Magnetically Coupled Resonant Array Method for Automotive Wireless Charging. 10. A computer-readable storage medium storing instructions, which, when the instructions are executed on a computer, cause the computer to execute the dynamic magnetic coupling resonant array supporting wireless charging of electric vehicles according to any one of claims 1 to 7 method.

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