CN112810489B - Safe charging management system for new energy automobile - Google Patents
Safe charging management system for new energy automobile Download PDFInfo
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- CN112810489B CN112810489B CN202110416125.2A CN202110416125A CN112810489B CN 112810489 B CN112810489 B CN 112810489B CN 202110416125 A CN202110416125 A CN 202110416125A CN 112810489 B CN112810489 B CN 112810489B
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- 230000008859 change Effects 0.000 claims description 8
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 238000004088 simulation Methods 0.000 claims description 3
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/66—Data transfer between charging stations and vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/70—Interactions with external data bases, e.g. traffic centres
- B60L2240/72—Charging station selection relying on external data
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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
- Y02T90/12—Electric charging stations
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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
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The safe charging management system for new energy automobile in the embodiment of this disclosure includes: acquiring operation data of the new energy automobile, wherein the operation data is a data packet comprising residual electric quantity, a driving route and an average driving speed; judging whether a safe charging pile exists in the new energy automobile driving route or not; if the safe charging pile exists in the new energy automobile driving route, calling a first investigation module to perform real-time investigation based on the safe charging pile area to obtain a charging reminding instruction; the safe charging pile area is a partial area of the safe charging pile installation and operation; if the safe charging pile does not exist in the new energy automobile driving route, selecting the pre-selection charging pile in the residual driving range of the new energy automobile and carrying out real-time survey through a second survey module to obtain an emergency charging instruction.
Description
Technical Field
The invention belongs to the field of new energy automobiles, relates to an automobile safety charging technology, and particularly relates to a safety charging management system for a new energy automobile.
Background
The charging pile has the function similar to an oiling machine in a gas station, can be fixed on the ground or on the wall, is installed in public buildings (public buildings, markets, public parking lots and the like) and residential district parking lots or charging stations, and can charge various types of electric vehicles according to different voltage grades. The input end of the charging pile is directly connected with an alternating current power grid, and the output end of the charging pile is provided with a charging plug for charging the electric automobile. Fill electric pile and generally provide two kinds of charging methods of conventional charging and quick charge, people can use specific charging card to use on the human-computer interaction operation interface that fills the electric pile and punch the card, carry out operations such as corresponding charging method, charging time, expense data printing, fill electric pile display screen and can show data such as charge amount, expense, charging time, but fill electric pile charging quality and charging standard non-uniformity under the current background, the condition that has the damage car battery exists.
Disclosure of Invention
In view of this, the embodiment of the present disclosure provides a safe charging management system for a new energy vehicle, which at least partially solves the problems in the prior art.
In a first aspect, an embodiment of the present disclosure provides a safe charging management system for a new energy vehicle, including:
acquiring operation data of the new energy automobile, wherein the operation data is a data packet comprising residual electric quantity, a driving route and an average driving speed;
judging whether a safe charging pile exists in the new energy automobile driving route or not;
if the safe charging pile exists in the new energy automobile driving route, calling a first investigation module to perform real-time investigation based on the safe charging pile area to obtain a charging reminding instruction; the safe charging pile area is a partial area of the safe charging pile installation and operation;
if the safe charging pile does not exist in the new energy automobile driving route, selecting the pre-selection charging pile in the residual driving range of the new energy automobile and carrying out real-time survey through a second survey module to obtain an emergency charging instruction.
Judge whether there is safe electric pile that fills in the new energy automobile route of traveling includes:
acquiring charging stations on two sides of a driving route in the operation data;
judging whether a charging pile in the charging station meets the charging requirement or not through preset options, wherein the preset options at least comprise charging parameters;
if the charging parameters meet the charging requirements of the new energy automobile, determining that charging piles in the charging station are pre-selection charging piles, wherein the charging parameters at least comprise a charging mode and a charging interface;
calling the operation parameters of the pre-selected charging pile in the charging station and obtaining a safe operation value;
and if the safe operation value of the pre-selection charging pile is greater than the electric quantity ratio value, determining that the pre-selection charging pile is the safe charging pile.
Before the obtaining of the safe operation value, the method further includes:
analyzing the operation parameters through a safe operation model, wherein the safe operation model is a simulation model comprising an analysis layer, a screening layer, a removing layer, an output layer and a layering layer;
the analysis layer is used for decoding the operation parameters and obtaining model parameters, wherein the model parameters at least comprise the number of uninterrupted operation days, the number of outage times, the number of operation days, the number of failure times, the number of use times, the use rate, the outage duration, the voltage transformation amplitude and the current change amplitude;
the screening layer is used for screening key model parameters, wherein the key model parameters at least comprise voltage transformation amplitude, current change amplitude, operation days, fault times, power failure times and use times;
the rejection layer is used for rejecting model parameters lower than preset conditions, wherein the preset conditions at least comprise a voltage transformation amplitude requirement, a current change amplitude requirement, an operation days requirement, a fault frequency requirement, a power failure frequency requirement and a use frequency requirement;
the output layer is used for outputting model parameters meeting preset conditions, wherein the preset conditions are met that the voltage transformation amplitude meets the voltage transformation amplitude requirement, the current transformation amplitude meets the current transformation amplitude requirement, the operation days meets the operation days requirement, the fault times meet the fault times requirement, the power failure times meet the power failure times requirement and the use times meet the use times requirement;
and the scoring layer is used for scoring the model parameters meeting the preset conditions, wherein the scoring standard is the product of the model parameters meeting the preset conditions and the basic score value.
If there is safe electric pile that fills in new energy automobile route of traveling, then transfer first reconnaissance module based on safe electric pile region carries out the real investigation, include:
inputting vehicle information of the new energy vehicle into a first reconnaissance module as an input item to obtain a charging vehicle model, wherein the vehicle information at least comprises vehicle width information, vehicle length information and vehicle height information;
calling Internet of things equipment in the first investigation module to perform real-time investigation on the safe charging pile area, wherein the Internet of things equipment at least comprises a fixed-position camera, movable shooting equipment and vehicle-mounted shooting equipment;
the real-time survey at least comprises a safety charging pile high-resolution photo, wherein the safety charging pile high-resolution photo comprises a safety charging pile, a corresponding parking line of the safety charging pile and vehicles on two sides of the parking line.
Before the charging reminding instruction is obtained, the method further comprises the following steps:
acquiring a preset number of basic sample pictures, wherein the basic sample pictures comprise pictures of safety charging piles, parking lines corresponding to the safety charging piles and vehicles on two sides of the parking lines;
attaching vehicle features to corresponding stop line areas in the basic sample pictures to obtain corresponding stop sample pictures, wherein the vehicle features comprise a vehicle modeling model;
inputting the basic sample picture and the parking sample picture into a deep neural network for learning and training to obtain a parking prediction model;
and matching the charging vehicle model with the parking prediction model, and if the matching is successful, generating a charging reminding instruction.
The second reconnaissance module at least comprises a fixed machine position camera, movable shooting equipment and vehicle-mounted shooting equipment.
Before the emergency charging instruction is obtained, the method further includes:
acquiring a preset number of basic emergency sample pictures, wherein the basic emergency sample pictures comprise pre-selection charging piles, parking lines corresponding to the pre-selection charging piles, pictures of vehicles on two sides of the parking lines and the longest power supply distance of the charging piles;
attaching vehicle features to corresponding emergency stop line areas in the basic emergency sample pictures to obtain corresponding emergency stop sample pictures, wherein the vehicle features comprise a vehicle modeling model;
inputting the basic emergency sample picture and the emergency parking sample picture into a deep neural network for learning and training to obtain an emergency parking prediction model;
and matching the charging vehicle model with the emergency parking prediction model, and if the matching is successful, generating an emergency charging instruction.
In a second aspect, an embodiment of the present disclosure provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the first aspect and a safety charging management system for a new energy automobile in any implementation manner of the first aspect.
In a third aspect, the disclosed embodiments provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the system for managing safe charging for a new energy vehicle in any one of the implementations of the first aspect and the first aspect.
The safe charging management system for new energy automobile in the embodiment of this disclosure includes: acquiring operation data of the new energy automobile, wherein the operation data is a data packet comprising residual electric quantity, a driving route and an average driving speed; judging whether a safe charging pile exists in the new energy automobile driving route or not; if the safe charging pile exists in the new energy automobile driving route, calling a first investigation module to perform real-time investigation based on the safe charging pile area to obtain a charging reminding instruction; the safe charging pile area is a partial area of the safe charging pile installation and operation; if the safe charging pile does not exist in the new energy automobile driving route, selecting the pre-selection charging pile in the residual driving range of the new energy automobile and carrying out real-time survey through a second survey module to obtain an emergency charging instruction. Through this disclosed scheme, through configuring two kinds of electric pile identification module that fill, can be so that better seek the most suitable electric pile that fills and the most suitable charging, when avoiding the vehicle to need to charge urgently, can not find the problem of filling electric pile, through shooing on the spot simultaneously, whether can park in the district of confirming that can be more suitable charging, avoid the problem of the vehicle that brings of nonstandard parking to cut with a knife and rub and punish the order, improve new energy automobile's use convenience.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a functional block diagram of the present disclosure.
Fig. 2 is a schematic diagram of an electronic device provided by an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the detailed description of the embodiments of the present invention provided in the following drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention.
The embodiment of the disclosure provides a safe charging management system for a new energy automobile; the safety charging management system for the new energy automobile provided by the embodiment can be executed by a computing device, the computing device can be implemented as software, or implemented as a combination of software and hardware, and the computing device can be integrally arranged in a server, a terminal device and the like.
Referring to fig. 1, a schematic block diagram of a safe charging management system for a new energy vehicle is provided in the embodiment of the present disclosure. As shown in fig. 1, includes:
acquiring operation data of the new energy automobile, wherein the operation data is a data packet comprising residual electric quantity, a driving route and an average driving speed;
judging whether a safe charging pile exists in the new energy automobile driving route or not;
if the safe charging pile exists in the new energy automobile driving route, calling a first investigation module to perform real-time investigation based on the safe charging pile area to obtain a charging reminding instruction; the safe charging pile area is a partial area of the safe charging pile installation and operation;
if the safe charging pile does not exist in the new energy automobile driving route, selecting the pre-selection charging pile in the residual driving range of the new energy automobile and carrying out real-time survey through a second survey module to obtain an emergency charging instruction.
The embodiment provides a safe charging management system for new energy automobile, is applied to the car scene of charging based on new energy is power, especially fills under the current background that electric pile charging quality and charging standard are inconsistent probably to have the scene of the safe charging management system for new energy automobile under the condition of damaging the car battery.
In specific implementation, a new energy automobile user is defined as a target user, the running state of the target user is running data, the residual electric quantity in the running data is defined as a trigger condition, a running route is defined as a screening condition, and when the residual electric quantity of the target user meets the trigger condition, whether a safe charging pile exists in the running route of the target user is judged;
in the conventional charging process, the adopted method comprises the steps of acquiring navigation information, selecting the position of a charging station in a navigation area, judging whether the charging station has a residual position, and judging whether the charging station goes to charge or not by combining the navigation information, the position of the charging station and the residual position.
Under the condition, if the parking space of the charging station is too small, the parking requirement is not met, or the charging pile is in failure, and the charging voltage or/and the current are unstable due to frequent use of the charging pile, the battery is damaged;
under the first condition, when a safe charging pile exists on a driving route of a target user, defining that the first reconnaissance module is used for carrying out real-time reconnaissance on the basis of a safe charging pile area under the first condition to obtain a charging reminding instruction;
under the second condition, when the safe charging pile does not exist in the driving route of the target user, defining that the second reconnaissance module is used for carrying out real-time reconnaissance under the second condition, and obtaining an emergency charging instruction;
according to a concrete implementation mode of this disclosed embodiment, under the first condition, above-mentioned judgement new energy automobile goes whether to have safe electric pile that fills in the route, includes:
acquiring charging stations on two sides of a driving route in the operation data;
judging whether a charging pile in a charging station meets the charging requirement or not through preset options, wherein the preset options at least comprise charging parameters;
if the charging parameters meet the charging requirements of the new energy automobile, determining that the charging pile in the charging station is a pre-selection charging pile, wherein the charging parameters at least comprise a charging mode and a charging interface;
the specific charging mode at least comprises quick charging or/and slow charging; the charging interface at least comprises a standard charging interface;
calling the operation parameters of the pre-selected charging pile in the charging station and obtaining a safe operation value;
and if the safe operation value of the pre-selection charging pile is greater than the electric quantity ratio value, determining that the pre-selection charging pile is the safe charging pile.
In the embodiment, the driving route of the new energy automobile is acquired by acquiring automobile navigation data, the charging station of the driving route is acquired by accessing map software, the charging mode of a charging pile in the charging station is acquired by establishing data connection with a charging station service provider, and the charging pile in the charging station is judged to be a pre-selection charging pile by comparing with the charging model of the new energy automobile when the charging mode of the charging pile meets the charging model of the new energy automobile; at the moment, the operation parameters of the pre-selection charging pile are obtained, and the method can greatly reduce the requirement for obtaining data when the method is implemented specifically, so that the use efficiency of the system is improved; the complexity of the system is reduced, and the operation parameters are analyzed through a safe operation model, wherein the safe operation model is a simulation model comprising an analysis layer, a screening layer, a rejection layer, an output layer and a layering layer; the analysis layer is used for decoding the operation parameters and obtaining model parameters, wherein the model parameters at least comprise the number of uninterrupted operation days, the power failure times, the operation days, the failure times, the use rate, the power failure duration, the voltage transformation amplitude and the current change amplitude; the screening layer is used for screening key model parameters, wherein the key model parameters at least comprise voltage transformation amplitude, current variation amplitude, operation days, failure times, power failure times and use times; the rejection layer is used for rejecting model parameters lower than preset conditions, wherein the preset conditions at least comprise a voltage transformation amplitude requirement, a current change amplitude requirement, an operation days requirement, a fault frequency requirement, a power failure frequency requirement and a use frequency requirement; the output layer is used for outputting model parameters meeting preset conditions, wherein the preset conditions are met that the voltage transformation amplitude meets the voltage transformation amplitude requirement, the current transformation amplitude meets the current transformation amplitude requirement, the operation days meets the operation days requirement, the fault times meet the fault times requirement, the power failure times meet the power failure times requirement and the use times meet the use times requirement; and the scoring layer is used for scoring the model parameters meeting the preset conditions, wherein the scoring standard is the product of the model parameters meeting the preset conditions and the basic score value.
Standardization and unification can be realized through the safe operation model to score the pre-selection charging piles, and then the optional condition of the pre-selection charging piles is assessed, the selection right of a user is improved, and a service provider is urged to improve the service condition of the charging piles.
The pre-selection charging pile with the safe operation value larger than the electric quantity ratio value is selected as the safe charging pile, so that the charging pile can be selected according to the actual use condition of the new energy automobile;
wherein, the electric quantity ratio value is the ratio of surplus electric quantity and car loss electric quantity, and wherein, car loss electric quantity is the permanent electric quantity damage that the car leads to because service life, mechanical failure, misoperation etc..
Under the first condition, if there is safe electric pile that fills in new energy automobile route of traveling, then call first reconnaissance module and fill electric pile region based on the safety and carry out the real investigation, include:
inputting vehicle information of the new energy vehicle into a first reconnaissance module as an input item to obtain a charging vehicle model, wherein the vehicle information at least comprises vehicle width information, vehicle length information and vehicle height information;
calling Internet of things equipment in a first survey module to perform real-time survey on the safe charging pile area, wherein the Internet of things equipment at least comprises a fixed-position camera, movable shooting equipment and vehicle-mounted shooting equipment;
the real survey of shooing includes at least that safety fills electric pile high definition resolution ratio photo, and wherein, safety fills electric pile high definition resolution ratio photo and includes that safety fills electric pile, safety and fills electric pile and correspond stop line and stop line both sides vehicle.
Acquiring a preset number of basic sample pictures, wherein the basic sample pictures comprise pictures of safety charging piles, parking lines corresponding to the safety charging piles and vehicles on two sides of the parking lines;
attaching vehicle features to corresponding stop line areas in the basic sample pictures to obtain corresponding stop sample pictures, wherein the vehicle features comprise a vehicle modeling model;
inputting the basic sample picture and the parking sample picture into a deep neural network for learning and training to obtain a parking prediction model;
and matching the charging vehicle model with the parking prediction model, and if the matching is successful, generating a charging reminding instruction.
In the embodiment, vehicle information of the new energy automobile is obtained, a model of the new energy automobile is established through modeling software, and a high-resolution picture of the safe charging pile is shot in real time through an internet of things device, wherein the internet of things device can be one or more of a fixed-position camera, a movable shooting device and a vehicle-mounted shooting device; when the Internet of things equipment is a fixed machine position camera, the shooting requirement is met by controlling the shooting range of the fixed machine position camera, and the safe charging pile is shot; when the internet of things equipment is movable shooting equipment, wherein the movable shooting equipment can be an unmanned aerial vehicle or a smart phone; when the movable shooting equipment is an unmanned aerial vehicle, inputting information of the safe charging pile by controlling the unmanned aerial vehicle in the charging station, and finishing shooting of the safe charging pile through an intelligent navigation system of the unmanned aerial vehicle;
when the movable shooting equipment is a smart phone, screening equipment corresponding to the equipment code of the smart phone by extracting the equipment code of the signal access equipment in the safe charging pile area as pushing equipment, pushing a shooting request to the pushing equipment, and receiving a feedback request of the pushing equipment; the shooting request at least comprises position information and reward information of the safe charging pile; the feedback request at least comprises a high-resolution picture of the safe charging pile;
the reward information can be a free charging time reward;
when the movable shooting equipment is vehicle-mounted shooting equipment, screening equipment corresponding to the code of the vehicle-mounted shooting equipment as pushing equipment by extracting an equipment code of signal access equipment in the safe charging pile area, pushing a shooting request to the pushing equipment, and receiving a feedback request of the pushing equipment; the photographing request at least comprises position information of the safe charging pile; the feedback request at least comprises a high-resolution picture of the safe charging pile;
by acquiring a plurality of basic sample pictures and parking sample pictures in advance, whether at least one safety charging pile high-resolution picture meets the parking requirement can be screened out by the trained parking prediction model;
the basic sample pictures comprise charging pile pictures of all angles, and the parking sample pictures comprise vehicle pictures in charging pile parking lines of all angles in all time periods;
in a second case, the second reconnaissance module at least comprises a fixed-position camera, a movable shooting device and a vehicle-mounted shooting device.
Acquiring a preset number of basic emergency sample pictures, wherein the basic emergency sample pictures comprise pre-selection charging piles, parking lines corresponding to the pre-selection charging piles, pictures of vehicles on two sides of the parking lines and the longest power supply distance of the charging piles;
attaching vehicle features to corresponding emergency stop line areas in the basic emergency sample pictures to obtain corresponding emergency stop sample pictures, wherein the vehicle features comprise a vehicle modeling model;
inputting the basic emergency sample picture and the emergency parking sample picture into a deep neural network for learning and training to obtain an emergency parking prediction model;
and matching the charging vehicle model with the emergency parking prediction model, and if the matching is successful, generating an emergency charging instruction.
In this embodiment, the longest power supply distance of the charging pile is the distance of the charging pile which can be farthest from a charging gun of the charging pile, a plurality of photos of the charging pile are collected in advance, the photo of the charging pile which is farthest from a charging vehicle in the photo is selected as the selected photo, the distance between the charging pile and the charging vehicle in the selected photo is obtained as the longest power supply distance of the charging pile, and the charging position corresponding to the charging vehicle is an emergency stop line area.
Referring to fig. 2, an embodiment of the present disclosure also provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the secure charging management system of the method embodiments described above.
The disclosed embodiment also provides a non-transitory computer readable storage medium storing computer instructions for causing the computer to execute the safety charging management system for a new energy automobile in the foregoing system embodiment.
The disclosed embodiments also provide a computer program product including a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions that, when executed by a computer, cause the computer to execute the safe charging management system for a new energy vehicle in the aforementioned system embodiments.
Referring now to FIG. 2, shown is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 2 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 2, the electronic device may include a processing apparatus (e.g., a central processing unit, a graphic processor, etc.) that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage apparatus into a Random Access Memory (RAM). In the RAM, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device, the ROM, and the RAM are connected to each other by a bus. An input/output (I/O) interface is also connected to the bus.
Generally, the following devices may be connected to the I/O interface: input devices including, for example, touch screens, touch pads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, and the like; output devices including, for example, Liquid Crystal Displays (LCDs), speakers, vibrators, and the like; storage devices including, for example, magnetic tape, hard disk, etc.; and a communication device. The communication means may allow the electronic device to communicate wirelessly or by wire with other devices to exchange data. While the figures illustrate an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means, or installed from a storage means, or installed from a ROM. The computer program, when executed by a processing device, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, enable the electronic device to implement the schemes provided by the method embodiments.
Alternatively, the computer readable medium carries one or more programs, which when executed by the electronic device, enable the electronic device to implement the schemes provided by the method embodiments.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof.
The above description is only for the specific embodiments of the present disclosure, but the scope of the present disclosure is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present disclosure should be covered within the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
Claims (7)
1. The utility model provides a safe management system that charges for new energy automobile which characterized in that includes:
acquiring operation data of the new energy automobile, wherein the operation data is a data packet comprising residual electric quantity, a driving route and an average driving speed;
judging whether a safe charging pile exists in the new energy automobile driving route or not;
if the safe charging pile exists in the new energy automobile driving route, calling a first investigation module to perform real-time investigation based on a safe charging pile area to obtain a charging reminding instruction; the safe charging pile area is a partial area of the safe charging pile installation and operation;
if the safe charging pile does not exist in the new energy automobile driving route, selecting a pre-selection charging pile in the remaining driving range of the new energy automobile, and carrying out real-time survey through a second survey module to obtain an emergency charging instruction;
judge whether there is safe electric pile that fills in the new energy automobile route of traveling includes:
acquiring charging stations on two sides of a driving route in the operation data;
judging whether a charging pile in the charging station meets the charging requirement or not through preset options, wherein the preset options at least comprise charging parameters;
if the charging parameters meet the charging requirements of the new energy automobile, determining that charging piles in the charging station are pre-selection charging piles, wherein the charging parameters at least comprise a charging mode and a charging interface;
calling the operation parameters of the pre-selected charging pile in the charging station and obtaining a safe operation value;
if the safe operation value of the pre-selection charging pile is larger than the electric quantity ratio value, the pre-selection charging pile is judged to be a safe charging pile;
before the obtaining of the safe operation value, the method further includes:
analyzing the operation parameters through a safe operation model, wherein the safe operation model is a simulation model comprising an analysis layer, a screening layer, a removing layer, an output layer and a layering layer;
the analysis layer is used for decoding the operation parameters and obtaining model parameters, wherein the model parameters at least comprise the number of uninterrupted operation days, the number of outage times, the number of operation days, the number of failure times, the number of use times, the use rate, the outage duration, the voltage transformation amplitude and the current change amplitude;
the screening layer is used for screening key model parameters, wherein the key model parameters at least comprise voltage transformation amplitude, current change amplitude, operation days, fault times, power failure times and use times;
the rejection layer is used for rejecting model parameters lower than preset conditions, wherein the preset conditions at least comprise a voltage transformation amplitude requirement, a current change amplitude requirement, an operation days requirement, a fault frequency requirement, a power failure frequency requirement and a use frequency requirement;
the output layer is used for outputting model parameters meeting preset conditions, wherein the preset conditions are met that the voltage transformation amplitude meets the voltage transformation amplitude requirement, the current transformation amplitude meets the current transformation amplitude requirement, the operation days meets the operation days requirement, the fault times meet the fault times requirement, the power failure times meet the power failure times requirement and the use times meet the use times requirement;
and the scoring layer is used for scoring the model parameters meeting the preset conditions, wherein the scoring standard is the product of the model parameters meeting the preset conditions and the basic score value.
2. The safety charging management system for the new energy automobile, according to claim 1, wherein if there is a safety charging pile in the new energy automobile driving route, calling a first survey module to conduct real survey based on the safety charging pile area, includes:
inputting vehicle information of the new energy vehicle into a first reconnaissance module as an input item to obtain a charging vehicle model, wherein the vehicle information at least comprises vehicle width information, vehicle length information and vehicle height information;
calling Internet of things equipment in the first investigation module to perform real-time investigation on the safe charging pile area, wherein the Internet of things equipment at least comprises a fixed-position camera, movable shooting equipment and vehicle-mounted shooting equipment;
the real-time survey at least comprises a safety charging pile high-resolution photo, wherein the safety charging pile high-resolution photo comprises a safety charging pile, a corresponding parking line of the safety charging pile and vehicles on two sides of the parking line.
3. The safety charging management system for the new energy automobile according to claim 1, before the obtaining of the charging reminding instruction, further comprising:
acquiring a preset number of basic sample pictures, wherein the basic sample pictures comprise pictures of safety charging piles, parking lines corresponding to the safety charging piles and vehicles on two sides of the parking lines;
attaching vehicle features to corresponding stop line areas in the basic sample pictures to obtain corresponding stop sample pictures, wherein the vehicle features comprise a vehicle modeling model;
inputting the basic sample picture and the parking sample picture into a deep neural network for learning and training to obtain a parking prediction model;
and matching the charging vehicle model with the parking prediction model, and if the matching is successful, generating a charging reminding instruction.
4. The system according to claim 1, wherein the second reconnaissance module includes at least a fixed-station camera, a movable shooting device, and an onboard shooting device.
5. The safety charging management system for the new energy automobile according to claim 1, before the obtaining of the emergency charging instruction, further comprising:
acquiring a preset number of basic emergency sample pictures, wherein the basic emergency sample pictures comprise pre-selection charging piles, parking lines corresponding to the pre-selection charging piles, pictures of vehicles on two sides of the parking lines and the longest power supply distance of the charging piles;
attaching vehicle features to corresponding emergency stop line areas in the basic emergency sample pictures to obtain corresponding emergency stop sample pictures, wherein the vehicle features comprise a vehicle modeling model;
inputting the basic emergency sample picture and the emergency parking sample picture into a deep neural network for learning and training to obtain an emergency parking prediction model;
and matching the charging vehicle model with the emergency parking prediction model, and if the matching is successful, generating an emergency charging instruction.
6. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the safety charging management system for the new energy automobile as set forth in any one of claims 1 to 5.
7. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute a safety charging management system for a new energy automobile according to any one of claims 1 to 5.
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| US9610853B1 (en) * | 2015-09-24 | 2017-04-04 | Ford Global Technologies, Llc | Identification of acceptable vehicle charge stations |
| US10737577B2 (en) * | 2015-11-04 | 2020-08-11 | Ford Global Technologies, Llc | Control strategy for charging electrified vehicle over multiple locations of a drive route |
| US9709988B2 (en) * | 2015-12-09 | 2017-07-18 | Ford Global Technologies, Llc | Identification of acceptable vehicle charge stations |
| US10308246B1 (en) * | 2016-01-22 | 2019-06-04 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle signal control |
| CN110103719B (en) * | 2019-05-08 | 2021-07-13 | 广州小鹏汽车科技有限公司 | Charging prompting method and system of electric automobile and vehicle |
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