CN117227521B - Wireless charging method and system based on AI intelligent algorithm - Google Patents
Wireless charging method and system based on AI intelligent algorithm Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
Abstract
The invention discloses a wireless charging method and a wireless charging system based on an AI intelligent algorithm, and relates to the technical field of automobiles, wherein the method comprises the following steps: when a vehicle to be charged sends a wireless charging instruction, acquiring vehicle information of the vehicle to be charged through a wireless communication module; determining the charging priority of the vehicle to be charged through an AI intelligent algorithm according to the vehicle information; after a vehicle to be charged enters a wireless charging area, acquiring charging information of the vehicle to be charged through a wireless communication module, and calculating the charging matching degree with a wireless charging transmitter through an AI intelligent algorithm according to the charging information; according to the charging matching degree, the optimal charging matching degree is calculated through an AI intelligent algorithm, and based on the optimal charging matching degree, the wireless charging transmitter is controlled to transmit energy to the wireless charging receiver, so that the vehicle to be charged is charged.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a wireless charging method and system based on an AI intelligent algorithm.
Background
The new energy automobile is an automobile taking a novel power battery, a fuel cell, solar energy and the like as power sources, has the characteristics of cleanness, high efficiency, reproducibility and the like, and is an important way for coping with energy crisis and environmental pollution. Because of the small influence on the environment compared with the traditional automobile, the prospect is widely seen, the electric automobile is highly valued in various fields in recent years, has a leapfrog growth in various application fields, and is still in the early development stage. Under the current situation that the battery is low in endurance mileage, the difficulty in charging is still the biggest difficulty puzzling the development of the electric automobile, and the popularization speed of the electric automobile is hindered.
The current more common charging method is as follows: the device for supplying energy to the new energy automobile by the alternating current or direct current power supply generally requires that the automobile is connected with the charging pile, and the charging time is determined according to the battery capacity of the automobile and the power of the charging pile. However, since the conventional charging pile occupies a large space and needs to be connected with a mating distribution network, it is difficult to be laid out on a large scale in a city, resulting in inconvenience to users of the new energy automobile. Second, since the conventional charging pile is affected by power limitations and safety factors, its charging speed is generally slow, and it takes several hours or even tens of hours to complete the filling. Finally, because the traditional charging pile needs to be connected with the vehicle and the charging pile through wires, potential safety hazards such as electric shock and fire disaster exist, and meanwhile, the traditional charging pile is also easily affected by malicious damage or theft and the like.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a wireless charging method and system based on an AI intelligent algorithm, and aims to solve the technical problems of low efficiency and safety in the prior art that a vehicle is charged through a charging pile wire connection.
An aspect of the present invention provides a wireless charging method based on an AI intelligent algorithm, applied to a wireless charging system, where the system includes a wireless charging transmitter and a wireless charging receiver, the wireless charging transmitter is disposed in a wireless charging area, and the wireless charging receiver is disposed on a vehicle to be charged, and the method includes:
when a vehicle to be charged sends a wireless charging instruction, acquiring vehicle information of the vehicle to be charged through a wireless communication module, wherein the vehicle information comprises energy requirements, battery states and distances between the vehicle to be charged and the wireless charging area;
according to the vehicle information, calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, and determining the charging priority of the vehicle to be charged according to the priority sequence, wherein the method comprises the following steps:
obtaining area information of a wireless charging area, wherein the area information comprises an area energy reserve state, a load state and an idle state of a wireless charging transmitter,
according to the vehicle information and the area information, calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, wherein the calculation formula of the priority sequence is as follows:
，
wherein Y is a priority sequence value, E is the energy demand of the vehicle to be charged, SOC is a battery state, L is the distance between the vehicle to be charged and the wireless charging area, G is the energy reserve state of the wireless charging area, N is the idle state of a wireless charging transmitter in the wireless charging area, F is the load state of the wireless charging area,
determining the charging priority of the vehicle to be charged according to the priority sequence;
after the vehicle to be charged enters the wireless charging area, acquiring charging information of the vehicle to be charged through a wireless communication module, and calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information;
and calculating the optimal charging matching degree through an AI intelligent algorithm according to the charging matching degree, and controlling the wireless charging transmitter to transmit energy to the wireless charging receiver based on the optimal charging matching degree so as to realize the charging of the vehicle to be charged.
Compared with the prior art, the invention has the beneficial effects that: according to the wireless charging method based on the AI intelligent algorithm, the charging efficiency and the safety are improved, specifically, when a vehicle to be charged sends a wireless charging instruction, vehicle information of the vehicle to be charged is obtained through a wireless communication module; calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm according to the vehicle information and the vehicle information, and determining the charging priority of the vehicle to be charged according to the priority sequence; and calculating a priority sequence of the vehicle to be charged, reflecting the relation between the emergency degree of the vehicle to be charged to the energy and the energy supply capacity of the linear charging area, and ensuring the balance and efficiency of energy transmission. After the vehicle to be charged enters the wireless charging area, acquiring charging information of the vehicle to be charged through a wireless communication module, and calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information; the wireless charging transmitter with the optimal performance is calculated through the AI intelligent algorithm to charge the vehicle to be charged, so that energy distribution is optimized, optimal energy transmission effect is achieved, energy transmission efficiency is improved, energy waste and congestion are avoided, optimal management of a wireless charging network is achieved, the wireless charging transmitter is highly intelligent and reliable, dynamic matching of the frequency, power, direction and the like of wireless laser can be achieved through adjusting the frequency, power and transmitting angle of the wireless charging transmitter and charging information of the wireless charging receiver, energy transmission efficiency and stability are further improved, energy loss and interference are reduced, multi-angle energy reception is achieved, different vehicle types and running states are adapted, good compatibility and flexibility are achieved, according to the charging matching degree, optimal charging matching degree is calculated through the AI intelligent algorithm, energy transmitted to the wireless charging receiver by the wireless charging transmitter is controlled based on the optimal charging matching degree, and the technical problem that a charging pile in the prior art is connected with the vehicle to be charged is solved, and efficiency and safety are low.
According to an aspect of the above technical solution, after the vehicle to be charged enters the wireless charging area, the step of acquiring charging information of the vehicle to be charged through the wireless communication module, and calculating the charging matching degree with the wireless charging transmitter through the AI intelligent algorithm according to the charging information specifically includes:
after the vehicle to be charged enters the wireless charging area, acquiring the position information of the vehicle to be charged, predicting a wireless charging transmitter through which the vehicle to be charged passes through an AI intelligent algorithm based on the position information, and selecting a wireless charging transmitter with optimal performance to charge the vehicle to be charged;
and acquiring charging information of the vehicle to be charged through the wireless communication module, and calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information.
According to an aspect of the foregoing technical solution, the calculation formula of the charge matching degree is:
，
wherein Z is the matching degree, f s Frequency, p, of wireless laser for wireless charging transmitter s Power of wireless laser for wireless charging transmitter, f v For the desired frequency of the wireless charging receiver, p v Power θ required to be accepted for wireless charging receiver s Angle θ of emission of wireless laser for wireless charging transmitter v The receiving angle of the wireless laser of the wireless charging receiver is set.
According to an aspect of the above technical solution, after the vehicle to be charged enters the wireless charging area, acquiring position information of the vehicle to be charged, predicting, based on the position information, a wireless charging transmitter through which the vehicle to be charged will pass through by an AI intelligent algorithm, and selecting a wireless charging transmitter with optimal performance to charge the vehicle to be charged, where the method specifically includes:
after the vehicle to be charged enters the wireless charging area, acquiring position information of the vehicle to be charged, wherein the position information comprises a running route, speed and running direction of the vehicle to be charged;
according to the position information of the vehicle to be charged, predicting a wireless charging transmitter through which the vehicle to be charged passes through an AI intelligent algorithm, and according to the signal information of the wireless charging transmitter, selecting the wireless charging transmitter with the optimal performance to charge the vehicle to be charged;
the signal information comprises the energy supply state, the load condition and the signal emission quality of the wireless charging transmitter, and the calculation formula of the performance is as follows:
,
wherein X is the performance, I is the energy supply state of the wireless charging transmitter, J is the load condition of the wireless charging transmitter, K is the signal transmission quality of the wireless charging transmitter, H 1 、H 2 、H 3 Respectively the energy supply state, the load situation and the weight of the signal emission quality.
According to an aspect of the foregoing technical solution, the method further includes:
through image recognition and target detection of an AI intelligent algorithm, the wireless charging transmitter and the environment around the vehicle are analyzed in real time to judge whether an obstacle exists or not;
if so, controlling the frequency, the power and the transmitting angle of the wireless charging transmitter to reduce the interference of the obstacle;
if not, continuing to monitor the environments around the wireless charging transmitter and the vehicle.
According to an aspect of the foregoing technical solution, the method further includes:
according to the historical charging data and the real-time charging data of the wireless charging transmitter, the reinforcement learning is adaptively optimized through an AI intelligent algorithm, and the frequency, the power and the transmitting angle of the wireless charging transmitter are adjusted in real time.
Another aspect of the present invention provides a wireless charging system based on an AI intelligent algorithm, where the system is configured to implement the wireless charging method based on the AI intelligent algorithm, and the system includes:
the charging instruction sending module is used for obtaining vehicle information of the vehicle to be charged through the wireless communication module when the vehicle to be charged sends a wireless charging instruction, wherein the vehicle information comprises the energy requirement of the vehicle to be charged, the battery state and the distance between the vehicle to be charged and the wireless charging area;
the priority calculating module is configured to calculate, according to the vehicle information, a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, and determine, according to the priority sequence, a charging priority of the vehicle to be charged, where the priority calculating module includes:
obtaining area information of a wireless charging area, wherein the area information comprises an area energy reserve state, a load state and an idle state of a wireless charging transmitter,
according to the vehicle information and the area information, calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, wherein the calculation formula of the priority sequence is as follows:
，
wherein Y is a priority sequence value, E is the energy demand of the vehicle to be charged, SOC is a battery state, L is the distance between the vehicle to be charged and the wireless charging area, G is the energy reserve state of the wireless charging area, N is the idle state of a wireless charging transmitter in the wireless charging area, F is the load state of the wireless charging area,
determining the charging priority of the vehicle to be charged according to the priority sequence;
the matching degree calculation module is used for acquiring charging information of the vehicle to be charged through the wireless communication module after the vehicle to be charged enters the wireless charging area, and calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information;
and the charging matching module is used for calculating the optimal charging matching degree through an AI intelligent algorithm according to the charging matching degree, and controlling the wireless charging transmitter to transmit energy to the wireless charging receiver based on the optimal charging matching degree so as to realize the charging of the vehicle to be charged.
According to an aspect of the above technical solution, the charging transmitters are distributed in the wireless charging area at preset intervals to form a plurality of wireless charging grids.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
fig. 1 is a flowchart of a wireless charging method based on an AI intelligent algorithm according to a first embodiment of the present invention;
fig. 2 is a block diagram of a wireless charging system based on an AI intelligent algorithm according to a second embodiment of the present invention;
description of the drawings element symbols:
the charging instruction sending module 100, the priority calculating module 200, the matching degree calculating module 300 and the charging matching module 400.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, embodiments accompanied with figures are described in detail below. Several embodiments of the invention are presented in the figures. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "mounted" on another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," "upper," "lower," and the like are used herein for descriptive purposes only and not to indicate or imply that the apparatus or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the invention.
In the present invention, unless explicitly stated and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1, a wireless charging method based on an AI intelligent algorithm according to a first embodiment of the present invention is applied to a wireless charging system, where the system includes a wireless charging transmitter and a wireless charging receiver, the wireless charging transmitter is disposed in a wireless charging area, and the wireless charging receiver is disposed on a vehicle to be charged, and the method includes steps S10-S13:
step S10, when a vehicle to be charged sends a wireless charging instruction, vehicle information of the vehicle to be charged is obtained through a wireless communication module, wherein the vehicle information comprises energy requirements of the vehicle to be charged, a battery state and a distance between the vehicle to be charged and the wireless charging area;
step S11, according to the vehicle information, calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, and determining a charging priority of the vehicle to be charged according to the priority sequence, including:
obtaining area information of a wireless charging area, wherein the area information comprises an area energy reserve state, a load state and an idle state of a wireless charging transmitter,
according to the vehicle information and the area information, calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, wherein the calculation formula of the priority sequence is as follows:
，
wherein Y is a priority sequence value, E is the energy demand of the vehicle to be charged, SOC is a battery state, L is the distance between the vehicle to be charged and the wireless charging area, G is the energy reserve state of the wireless charging area, N is the idle state of a wireless charging transmitter in the wireless charging area, F is the load state of the wireless charging area,
determining the charging priority of the vehicle to be charged according to the priority sequence;
according to the vehicle information of the vehicle to be charged and the area information of the wireless charging area, calculating a priority sequence value of the vehicle to be charged, reflecting the relation between the emergency degree of the vehicle to be charged to energy and the energy supply capacity of the linear charging area, wherein the higher the priority sequence value is, the more the priority sequence value is required to be provided with energy for the vehicle to be charged, and the balance and efficiency of energy transmission are ensured.
Step S12, after the vehicle to be charged enters the wireless charging area, charging information of the vehicle to be charged is obtained through a wireless communication module, and the charging matching degree with the wireless charging transmitter is calculated through an AI intelligent algorithm according to the charging information;
specifically, after the vehicle to be charged enters the wireless charging area, acquiring position information of the vehicle to be charged, predicting a wireless charging transmitter through which the vehicle to be charged passes through an AI intelligent algorithm based on the position information, and selecting the wireless charging transmitter with the optimal performance to charge the vehicle to be charged;
specifically, after the vehicle to be charged enters the wireless charging area, acquiring position information of the vehicle to be charged, wherein the position information comprises a running route, a speed and a running direction of the vehicle to be charged;
according to the position information of the vehicle to be charged, predicting a wireless charging transmitter through which the vehicle to be charged passes through an AI intelligent algorithm, and according to the signal information of the wireless charging transmitter, selecting the wireless charging transmitter with the optimal performance to charge the vehicle to be charged;
the signal information comprises the energy supply state, the load condition and the signal emission quality of the wireless charging transmitter, and the calculation formula of the performance is as follows:
,
wherein X is the performance, I is the energy supply state of the wireless charging transmitter, J is the load condition of the wireless charging transmitter, K is the signal transmission quality of the wireless charging transmitter, H 1 、H 2 、H 3 Respectively the energy supply state, the load situation and the weight of the signal emission quality.
The wireless charging transmitter with the optimal performance is calculated through the AI intelligent algorithm to charge the vehicle to be charged, so that energy distribution is optimized, an optimal energy transmission effect is achieved, energy waste and congestion are avoided, optimal management of a wireless charging network is achieved, and the wireless charging system has high intelligence and reliability.
And acquiring charging information of the vehicle to be charged through the wireless communication module, and calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information.
The calculation formula of the charging matching degree is as follows:
，
wherein Z is the matching degree, f s Frequency, p, of wireless laser for wireless charging transmitter s Power of wireless laser for wireless charging transmitter, f v For the desired frequency of the wireless charging receiver, p v Power θ required to be accepted for wireless charging receiver s Angle θ of emission of wireless laser for wireless charging transmitter v The receiving angle of the wireless laser of the wireless charging receiver is set.
It should be noted that, by adjusting the frequency, power and emission angle of the wireless charging transmitter and the charging information of the wireless charging receiver, dynamic matching of the frequency, power, direction and the like of the wireless laser can be realized, so that the efficiency and stability of energy transmission are improved, energy loss and interference are reduced, multi-angle energy reception is realized, and the wireless charging system is suitable for different vehicle types and running states and has good compatibility and flexibility.
And step S13, calculating the optimal charging matching degree through an AI intelligent algorithm according to the charging matching degree, and controlling the wireless charging transmitter to transmit energy to the wireless charging receiver based on the optimal charging matching degree so as to realize the charging of the vehicle to be charged.
The method further comprises the steps of:
through image recognition and target detection of an AI intelligent algorithm, the wireless charging transmitter and the environment around the vehicle are analyzed in real time to judge whether an obstacle exists or not;
if so, controlling the frequency, the power and the transmitting angle of the wireless charging transmitter to reduce the interference of the obstacle;
if not, continuing to monitor the environments around the wireless charging transmitter and the vehicle.
It should be noted that, the wireless charging transmitter and the environment around the vehicle are analyzed in real time, the obstacle or the interference source which may affect the energy transmission is identified, and corresponding measures are timely taken, so that the safety of the energy transmission is ensured, the injury or the interference to human bodies, animals, plants, metals, water and the like is prevented, the safe operation of the wireless charging system is realized, and the wireless charging system has high self-adaptability and protectiveness.
In addition, the method further comprises:
according to the historical charging data and the real-time charging data of the wireless charging transmitter, the reinforcement learning is adaptively optimized through an AI intelligent algorithm, and the frequency, the power and the transmitting angle of the wireless charging transmitter are adjusted in real time.
The self-learning and self-optimizing of the wireless charging system is realized by adjusting the frequency, the power and the transmitting angle of the wireless charging transmitter in real time through reinforcement learning, self-adaptive optimizing and other technologies, and the accuracy and the safety of energy transmission are improved.
Compared with the prior art, the wireless charging method based on the AI intelligent algorithm in the embodiment has the beneficial effects that: according to the wireless charging method based on the AI intelligent algorithm, the charging efficiency and the safety are improved, specifically, when a vehicle to be charged sends a wireless charging instruction, vehicle information of the vehicle to be charged is obtained through a wireless communication module; calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm according to the vehicle information, and determining the charging priority of the vehicle to be charged according to the priority sequence; calculating a priority sequence value of the vehicle to be charged, reflecting the relation between the emergency degree of the vehicle to be charged to the energy and the energy supply capacity of the linear charging area, and ensuring the balance and efficiency of energy transmission; after the vehicle to be charged enters the wireless charging area, acquiring charging information of the vehicle to be charged through a wireless communication module, and calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information; the wireless charging transmitter with the optimal performance is calculated through the AI intelligent algorithm to charge the vehicle to be charged, so that energy distribution is optimized, optimal energy transmission effect is achieved, energy transmission efficiency is improved, energy waste and congestion are avoided, optimal management of a wireless charging network is achieved, the wireless charging transmitter is highly intelligent and reliable, dynamic matching of the frequency, power, direction and the like of wireless laser can be achieved through adjusting the frequency, power and transmitting angle of the wireless charging transmitter and charging information of the wireless charging receiver, energy transmission efficiency and stability are further improved, energy loss and interference are reduced, multi-angle energy reception is achieved, different vehicle types and running states are adapted, good compatibility and flexibility are achieved, according to the charging matching degree, optimal charging matching degree is calculated through the AI intelligent algorithm, energy transmitted to the wireless charging receiver by the wireless charging transmitter is controlled based on the optimal charging matching degree, and the technical problem that in the prior art, the vehicle to be charged is connected through a charging pile, and efficiency and safety are low is solved.
Example two
Referring to fig. 2, a wireless charging system based on an AI intelligent algorithm according to a second embodiment of the present invention is shown, where the system includes:
the charging instruction sending module 100 is configured to obtain, when a vehicle to be charged sends a wireless charging instruction, vehicle information of the vehicle to be charged through the wireless communication module, where the vehicle information includes an energy requirement of the vehicle to be charged, a battery state, and a distance between the vehicle to be charged and the wireless charging area;
the wireless charging system comprises a wireless charging area, a wireless charging transmitter, a wireless charging receiver and a wireless charging system.
The priority calculating module 200, configured to calculate, according to the vehicle information, a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, and determine, according to the priority sequence, a charging priority of the vehicle to be charged, where the determining includes:
obtaining area information of a wireless charging area, wherein the area information comprises an area energy reserve state, a load state and an idle state of a wireless charging transmitter,
according to the vehicle information and the area information, calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, wherein the calculation formula of the priority sequence is as follows:
，
wherein Y is a priority sequence value, E is the energy demand of the vehicle to be charged, SOC is a battery state, L is the distance between the vehicle to be charged and the wireless charging area, G is the energy reserve state of the wireless charging area, N is the idle state of a wireless charging transmitter in the wireless charging area, F is the load state of the wireless charging area,
determining the charging priority of the vehicle to be charged according to the priority sequence;
the energy storage state is information such as energy sources and storages of the current wireless charging area. The load state is information such as energy output and load of the current wireless charging area.
The matching degree calculating module 300 is configured to obtain charging information of the vehicle to be charged through the wireless communication module after the vehicle to be charged enters the wireless charging area, and calculate a charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information;
specifically, after the vehicle to be charged enters the wireless charging area, acquiring position information of the vehicle to be charged, predicting a wireless charging transmitter through which the vehicle to be charged passes through an AI intelligent algorithm based on the position information, and selecting the wireless charging transmitter with the optimal performance to charge the vehicle to be charged;
specifically, after the vehicle to be charged enters the wireless charging area, acquiring position information of the vehicle to be charged, wherein the position information comprises a running route, a speed and a running direction of the vehicle to be charged;
according to the position information of the vehicle to be charged, predicting a wireless charging transmitter through which the vehicle to be charged passes through an AI intelligent algorithm, and according to the signal information of the wireless charging transmitter, selecting the wireless charging transmitter with the optimal performance to charge the vehicle to be charged;
the signal information comprises the energy supply state, the load condition and the signal emission quality of the wireless charging transmitter, and the calculation formula of the performance is as follows:
,
wherein X is the performance, I is the energy supply state of the wireless charging transmitter, J is the load condition of the wireless charging transmitter, K is the signal transmission quality of the wireless charging transmitter, H 1 、H 2 、H 3 Respectively the energy supply state, the load situation and the weight of the signal emission quality.
Wherein the energy supply status is energy reserve information of the current wireless charging transmitter. The load condition is information such as energy output and load of the current wireless charging transmitter.
And acquiring charging information of the vehicle to be charged through the wireless communication module, and calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information.
The calculation formula of the charging matching degree is as follows:
，
wherein Z is the matching degree, f s Frequency, p, of wireless laser for wireless charging transmitter s Power of wireless laser for wireless charging transmitter, f v For the desired frequency of the wireless charging receiver, p v Power θ required to be accepted for wireless charging receiver s Angle θ of emission of wireless laser for wireless charging transmitter v The receiving angle of the wireless laser of the wireless charging receiver is set.
And the charging matching module 400 is configured to calculate an optimal charging matching degree according to the charging matching degree through an AI intelligent algorithm, and control the wireless charging transmitter to transmit energy to the wireless charging receiver based on the optimal charging matching degree, so as to realize charging of the vehicle to be charged.
Through the wireless charging system based on the AI intelligent algorithm, high-efficiency, flexible and safe energy transmission service can be effectively provided for the moving vehicle to be charged.
Compared with the prior art, the wireless charging system based on the AI intelligent algorithm in the embodiment has the beneficial effects that: according to the wireless charging system based on the AI intelligent algorithm, charging efficiency and safety are improved, specifically, the charging priority of a vehicle to be charged is calculated through the priority calculating module, the relation between the emergency degree of the vehicle to be charged to energy and the energy supply capacity of a linear charging area is reflected, balance and efficiency of energy transmission are guaranteed, the wireless charging transmitter with optimal performance is calculated through the matching degree calculating module to charge the vehicle to be charged, energy distribution is optimized, the optimal energy transmission effect is achieved, energy transmission efficiency is improved, waste and congestion of energy are avoided, optimal management of a wireless charging network is achieved, high intelligence and reliability are achieved, dynamic matching of frequency, power, direction and the like of wireless laser can be achieved through adjusting the frequency, power and transmitting angle of the wireless charging transmitter and charging information of the wireless charging receiver, efficiency and stability of energy transmission are further improved, energy loss and interference are reduced, different vehicle types and running states are achieved, and good compatibility and flexibility are achieved, and the problem of low charging efficiency and safety in the existing charging technology is solved through connecting wires.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing examples illustrate only a few embodiments of the invention, and are described in detail, but are not to be construed as limiting the scope of the invention. It should be noted that it is possible for those skilled in the art to make several variations and modifications without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (5)
1. The wireless charging method based on the AI intelligent algorithm is characterized by being applied to a wireless charging system, wherein the system comprises a wireless charging transmitter and a wireless charging receiver, the wireless charging transmitter is arranged in a wireless charging area, and the wireless charging receiver is arranged on a vehicle to be charged, and the method comprises the following steps:
when a vehicle to be charged sends a wireless charging instruction, acquiring vehicle information of the vehicle to be charged through a wireless communication module, wherein the vehicle information comprises energy requirements, battery states and distances between the vehicle to be charged and the wireless charging area;
according to the vehicle information, calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, and determining the charging priority of the vehicle to be charged according to the priority sequence, wherein the method comprises the following steps:
obtaining area information of a wireless charging area, wherein the area information comprises an area energy reserve state, a load state and an idle state of a wireless charging transmitter,
according to the vehicle information and the area information, calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, wherein the calculation formula of the priority sequence is as follows:
，
wherein Y is a priority sequence value, E is the energy demand of the vehicle to be charged, SOC is a battery state, L is the distance between the vehicle to be charged and the wireless charging area, G is the energy reserve state of the wireless charging area, N is the idle state of a wireless charging transmitter in the wireless charging area, F is the load state of the wireless charging area,
determining the charging priority of the vehicle to be charged according to the priority sequence;
after the vehicle to be charged enters the wireless charging area, acquiring charging information of the vehicle to be charged through a wireless communication module, and calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information, wherein the method comprises the following steps:
after the vehicle to be charged enters the wireless charging area, acquiring the position information of the vehicle to be charged, wherein the position information comprises the running route, the speed and the running direction of the vehicle to be charged,
predicting a wireless charging transmitter through which the vehicle to be charged passes through by an AI intelligent algorithm according to the position information of the vehicle to be charged, selecting the wireless charging transmitter with the optimal performance to charge the vehicle to be charged according to the signal information of the wireless charging transmitter,
the signal information comprises the energy supply state, the load condition and the signal emission quality of the wireless charging transmitter, and the calculation formula of the performance is as follows:
,
wherein X is the performance, I is the energy supply state of the wireless charging transmitter, J is the load condition of the wireless charging transmitter, K is the signal transmission quality of the wireless charging transmitter, H 1 、H 2 、H 3 Respectively the energy supply state, the load condition and the signalThe weight of the number transmission quality,
acquiring charging information of the vehicle to be charged through a wireless communication module, calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information,
the calculation formula of the charging matching degree is as follows:
，
wherein Z is the matching degree, f s Frequency, p, of wireless laser for wireless charging transmitter s Power of wireless laser for wireless charging transmitter, f v For the desired frequency of the wireless charging receiver, p v Power θ required to be accepted for wireless charging receiver s Angle θ of emission of wireless laser for wireless charging transmitter v The receiving angle of the wireless laser of the wireless charging receiver is set;
and calculating the optimal charging matching degree through an AI intelligent algorithm according to the charging matching degree, and controlling the wireless charging transmitter to transmit energy to the wireless charging receiver based on the optimal charging matching degree so as to realize the charging of the vehicle to be charged.
2. The AI-intelligent-algorithm-based wireless charging method of claim 1, further comprising:
through image recognition and target detection of an AI intelligent algorithm, the wireless charging transmitter and the environment around the vehicle are analyzed in real time to judge whether an obstacle exists or not;
if so, controlling the frequency, the power and the transmitting angle of the wireless charging transmitter to reduce the interference of the obstacle;
if not, continuing to monitor the environments around the wireless charging transmitter and the vehicle.
3. The AI-intelligent-algorithm-based wireless charging method of claim 2, further comprising:
according to the historical charging data and the real-time charging data of the wireless charging transmitter, the reinforcement learning is adaptively optimized through an AI intelligent algorithm, and the frequency, the power and the transmitting angle of the wireless charging transmitter are adjusted in real time.
4. A wireless charging system based on an AI intelligent algorithm, wherein the system is configured to implement the AI intelligent algorithm-based wireless charging method of any one of claims 1-3, the system comprising:
the charging instruction sending module is used for obtaining vehicle information of the vehicle to be charged through the wireless communication module when the vehicle to be charged sends a wireless charging instruction, wherein the vehicle information comprises the energy requirement of the vehicle to be charged, the battery state and the distance between the vehicle to be charged and the wireless charging area;
the priority calculating module is configured to calculate, according to the vehicle information, a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, and determine, according to the priority sequence, a charging priority of the vehicle to be charged, where the priority calculating module includes:
obtaining area information of a wireless charging area, wherein the area information comprises an area energy reserve state, a load state and an idle state of a wireless charging transmitter,
according to the vehicle information and the area information, calculating a priority sequence of the vehicle to be charged and the wireless charging area through an AI intelligent algorithm, wherein the calculation formula of the priority sequence is as follows:
，
wherein Y is a priority sequence value, E is the energy demand of the vehicle to be charged, SOC is a battery state, L is the distance between the vehicle to be charged and the wireless charging area, G is the energy reserve state of the wireless charging area, N is the idle state of a wireless charging transmitter in the wireless charging area, F is the load state of the wireless charging area,
determining the charging priority of the vehicle to be charged according to the priority sequence;
the matching degree calculating module is used for obtaining charging information of the vehicle to be charged through the wireless communication module after the vehicle to be charged enters the wireless charging area, calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information, and comprises the following steps:
after the vehicle to be charged enters the wireless charging area, acquiring the position information of the vehicle to be charged, wherein the position information comprises the running route, the speed and the running direction of the vehicle to be charged,
predicting a wireless charging transmitter through which the vehicle to be charged passes through by an AI intelligent algorithm according to the position information of the vehicle to be charged, selecting the wireless charging transmitter with the optimal performance to charge the vehicle to be charged according to the signal information of the wireless charging transmitter,
the signal information comprises the energy supply state, the load condition and the signal emission quality of the wireless charging transmitter, and the calculation formula of the performance is as follows:
,
wherein X is the performance, I is the energy supply state of the wireless charging transmitter, J is the load condition of the wireless charging transmitter, K is the signal transmission quality of the wireless charging transmitter, H 1 、H 2 、H 3 Respectively the energy supply state, the load condition and the weight of the signal emission quality,
acquiring charging information of the vehicle to be charged through a wireless communication module, calculating the charging matching degree with the wireless charging transmitter through an AI intelligent algorithm according to the charging information,
the calculation formula of the charging matching degree is as follows:
，
wherein Z is the matching degree, f s Frequency, p, of wireless laser for wireless charging transmitter s Power of wireless laser for wireless charging transmitter, f v For the desired frequency of the wireless charging receiver, p v Power θ required to be accepted for wireless charging receiver s Angle θ of emission of wireless laser for wireless charging transmitter v The receiving angle of the wireless laser of the wireless charging receiver is set;
and the charging matching module is used for calculating the optimal charging matching degree through an AI intelligent algorithm according to the charging matching degree, and controlling the wireless charging transmitter to transmit energy to the wireless charging receiver based on the optimal charging matching degree so as to realize the charging of the vehicle to be charged.
5. The AI-intelligent algorithm-based wireless charging system of claim 4, wherein the charging transmitters are distributed within a wireless charging area at predetermined spacing distances to form a plurality of wireless charging grids.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104520133A (en) * | 2012-07-31 | 2015-04-15 | 高通股份有限公司 | Selective communication based on distance from a plurality of electric vehicle wireless charging stations in a facility |
| CN106230050A (en) * | 2016-08-10 | 2016-12-14 | 江苏科技大学 | A kind of many equipment resonance type wireless charging system and charging priority determination methods |
| CN108859796A (en) * | 2017-05-08 | 2018-11-23 | 深圳市中兴新能源汽车科技有限公司 | Charging pile position and vehicle matching method, system, wireless charging stake and contrast means |
| CN109492927A (en) * | 2018-11-22 | 2019-03-19 | 上海电机学院 | Charging pile intelligent scheduling management method |
| CN110334903A (en) * | 2019-05-29 | 2019-10-15 | 河北科技大学 | Electric car charging schedule method based on knapsack algorithm |
| CN112109575A (en) * | 2020-09-10 | 2020-12-22 | 军事科学院系统工程研究院军事新能源技术研究所 | Charging method, device and system for unmanned aerial vehicle |
| CN112308389A (en) * | 2020-10-22 | 2021-02-02 | 黑龙江省电工仪器仪表工程技术研究中心有限公司 | Electric automobile ordered charging scheduling system and method based on cloud computing |
| JP2021021257A (en) * | 2019-07-29 | 2021-02-18 | 住友電気工業株式会社 | Power feeding management device, power source device, power feeding management method, and computer program |
| CN112467856A (en) * | 2020-11-16 | 2021-03-09 | 武汉理工大学 | Wireless charging system and method with priority |
| CN112744093A (en) * | 2019-10-30 | 2021-05-04 | 宁波三星智能电气有限公司 | AGV wireless charging pile system and using method thereof |
| CN113386593A (en) * | 2021-06-24 | 2021-09-14 | 青岛海尔科技有限公司 | Wireless charging method and device for electric automobile, storage medium and electronic equipment |
| CN115923570A (en) * | 2022-11-28 | 2023-04-07 | 宁德时代新能源科技股份有限公司 | Charging management method, device, system, electronic device and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11427094B2 (en) * | 2020-03-26 | 2022-08-30 | Kyndryl, Inc. | Prioritization for charging electric vehicles while driving on the road |
-
2023
- 2023-11-16 CN CN202311524755.7A patent/CN117227521B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104520133A (en) * | 2012-07-31 | 2015-04-15 | 高通股份有限公司 | Selective communication based on distance from a plurality of electric vehicle wireless charging stations in a facility |
| CN106230050A (en) * | 2016-08-10 | 2016-12-14 | 江苏科技大学 | A kind of many equipment resonance type wireless charging system and charging priority determination methods |
| CN108859796A (en) * | 2017-05-08 | 2018-11-23 | 深圳市中兴新能源汽车科技有限公司 | Charging pile position and vehicle matching method, system, wireless charging stake and contrast means |
| CN109492927A (en) * | 2018-11-22 | 2019-03-19 | 上海电机学院 | Charging pile intelligent scheduling management method |
| CN110334903A (en) * | 2019-05-29 | 2019-10-15 | 河北科技大学 | Electric car charging schedule method based on knapsack algorithm |
| JP2021021257A (en) * | 2019-07-29 | 2021-02-18 | 住友電気工業株式会社 | Power feeding management device, power source device, power feeding management method, and computer program |
| CN112744093A (en) * | 2019-10-30 | 2021-05-04 | 宁波三星智能电气有限公司 | AGV wireless charging pile system and using method thereof |
| CN112109575A (en) * | 2020-09-10 | 2020-12-22 | 军事科学院系统工程研究院军事新能源技术研究所 | Charging method, device and system for unmanned aerial vehicle |
| CN112308389A (en) * | 2020-10-22 | 2021-02-02 | 黑龙江省电工仪器仪表工程技术研究中心有限公司 | Electric automobile ordered charging scheduling system and method based on cloud computing |
| CN112467856A (en) * | 2020-11-16 | 2021-03-09 | 武汉理工大学 | Wireless charging system and method with priority |
| CN113386593A (en) * | 2021-06-24 | 2021-09-14 | 青岛海尔科技有限公司 | Wireless charging method and device for electric automobile, storage medium and electronic equipment |
| CN115923570A (en) * | 2022-11-28 | 2023-04-07 | 宁德时代新能源科技股份有限公司 | Charging management method, device, system, electronic device and storage medium |
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|---|---|
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