CN113415127A - Far infrared intelligent heating system of electric automobile - Google Patents
Far infrared intelligent heating system of electric automobile Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/22—Heating, cooling or ventilating [HVAC] devices the heat being derived otherwise than from the propulsion plant
- B60H1/2215—Heating, cooling or ventilating [HVAC] devices the heat being derived otherwise than from the propulsion plant the heat being derived from electric heaters
- B60H1/2226—Electric heaters using radiation
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00357—Air-conditioning arrangements specially adapted for particular vehicles
- B60H1/00385—Air-conditioning arrangements specially adapted for particular vehicles for vehicles having an electrical drive, e.g. hybrid or fuel cell
- B60H1/00392—Air-conditioning arrangements specially adapted for particular vehicles for vehicles having an electrical drive, e.g. hybrid or fuel cell for electric vehicles having only electric drive means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/0065—Control members, e.g. levers or knobs
- B60H1/00657—Remote control devices
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- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/00807—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a specific way of measuring or calculating an air or coolant temperature
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- B60H1/22—Heating, cooling or ventilating [HVAC] devices the heat being derived otherwise than from the propulsion plant
- B60H1/2215—Heating, cooling or ventilating [HVAC] devices the heat being derived otherwise than from the propulsion plant the heat being derived from electric heaters
- B60H1/2218—Heating, cooling or ventilating [HVAC] devices the heat being derived otherwise than from the propulsion plant the heat being derived from electric heaters controlling the operation of electric heaters
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- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
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Abstract
The invention discloses a far infrared intelligent heating system of an electric automobile, which consists of a far infrared electric heating system, a far infrared electric heating control system, an intelligent heating control system and a cloud processor, wherein the intelligent heating control system continuously acquires user behavior operation data from the far infrared electric heating control system, generates a user heating operation strategy through deep learning, and issues a work command to the infrared electric heating control system through the cloud processor, and the far infrared electric heating control system controls the operation of the far infrared electric heating system. The invention adopts an artificial intelligent control system to realize accurate control of heating, and can carry out human-computer interaction to start heating in advance according to living habits and rules of vehicle users, so that the vehicle users can reach a set temperature when getting on the vehicle, heat transfer is mainly based on far infrared radiation during working, and far infrared light waves of 5-15 mu m are released, the heating speed is high, the waste of electric energy in the using process is avoided, and compared with the existing vehicle heating technology, the energy is saved by at least 65-75%.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a far infrared intelligent heating system of an electric automobile.
Background
In recent years, new energy electric automobiles are rapidly developed, and the development of new energy automobiles is a necessary way for China to move from automobile big countries to automobile strong countries. The China automobile industry Association predicts that the sales of new energy automobiles in China in this year is expected to reach 180 thousands of automobiles, and the sales of new energy automobiles is increased by 40 percent on a year-by-year basis. The existing new energy electric automobile heating generally adopts a mode of combining a heat pump and a PTC (positive temperature coefficient) to heat, but in the actual use process, the heat efficiency of the heat pump is greatly reduced when the ambient temperature is lower than the subzero degree, and under the condition, the heating is carried out in a mode of combining the heat pump and the PTC. The heating mode mainly has the following problems: 1) the efficiency of the heat pump is influenced by the ambient temperature, and generally under the environment of lower than zero degree centigrade, the heat efficiency is low and energy consumption is high; 2) the power of the PTC heating element is 1.5-3KW, and the energy consumption is 1.5-3KW/h during heating, so that not only is energy not saved, but also the endurance of the electric automobile is influenced; 3) the heat pump and the PTC both supply air and heat air by adopting an air conditioning system in the vehicle, so that the temperature in the vehicle cabin is uneven, the temperature of the lower limbs of a body is low when the head is hot and the feet are cold, and the air in the vehicle cabin is dry and the body feeling comfort level is poor.
In view of the above problems, the present invention discloses a far infrared intelligent heating system for an electric vehicle, which has the following technical features to solve the existing problems.
Disclosure of Invention
The invention mainly aims to provide a far infrared intelligent heating system for an electric automobile, aiming at the problems and limitations.
In order to achieve the purpose, the invention discloses a far infrared intelligent heating system of an electric automobile, which comprises a far infrared electric heating system, a far infrared electric heating control system, an intelligent heating control system and a cloud processor. The intelligent heating control system continuously acquires user behavior operation data from the far infrared electric heating control system, generates a user heating operation strategy through deep learning, and issues a work order to the infrared electric heating control system through the cloud processor, and the far infrared electric heating control system controls the operation of the far infrared electric heating system.
The far infrared intelligent heating system for the electric automobile is characterized in that the far infrared electric heating system is composed of far infrared planar electric heating materials distributed below a cabin floor and seats, the far infrared planar electric heating materials are thermoplastic or thermosetting planar composite electric heating materials prepared by taking chopped carbon fibers or carbon nanotubes as infrared electric heating materials, the back of the far infrared planar electric heating materials further comprises an infrared reflecting layer and a heat preservation layer, the infrared emitting layer can adopt an aluminum foil reflecting film, and the heat preservation layer can adopt a phenolic resin sheet, heat preservation cotton or an aluminum silicate fiber felt. At present, a heat pump or PTC heating of automobile heating mainly heats air in a vehicle cabin in a hot air mode, the heating in the vehicle cabin is realized by discharging hot air from an air conditioner in the heating process, although the temperature and the air speed can be adjusted, the heating is realized by heating the air in the vehicle cabin in a strong convection mode, the density of the hot air is low, and the hot air floats upwards, so that the space at the upper part of the vehicle cabin is heated firstly, the heating temperature of a seat position and a leg position of a human body generally needs 30-40 minutes to basically reach the heating temperature, and the heating temperature is usually very uncomfortable. The far infrared planar electric heating material is arranged under the floor of a passenger cabin and under a seat, because the infrared electric heating material adopts short carbon fibers or carbon nano tubes as heating materials, heat transfer mainly takes far infrared radiation, and far infrared light waves of 5-15 micrometers are released, the heating speed is high, the temperature can reach a stable working state after being generally started for 15 minutes, the temperature shows a decreasing trend from bottom to top during heating, and the basis of scientific heating of 'foot warming and head cooling' is met. More importantly, the infrared electric heating material is adopted for heating, the design power is generally 180W/square meter in 150 plus power, the whole vehicle power is generally about 1200W in 500 plus power, compared with the whole vehicle heating power of 3-4KW of heat pump plus PTC, the heating comfort is greatly improved, meanwhile, the energy-saving and electricity-saving effects are remarkable, and the cruising mileage of the electric vehicle can be greatly increased.
The utility model provides an foretell electric automobile far infrared intelligence heating system, wherein, far infrared surface form electrothermal material on still include conductive copper foil, lead-out wire and temperature limiting element, conductive copper foil set up on the long limit or the minor face of a set of symmetry of infrared electrothermal material, the lead-out wire be two, lead-out wire one end weld respectively insert far infrared surface form electrothermal material's conductive copper foil on, the lead-out wire other end be provided with car general type binding post, temperature limiting element include power cord and temperature limiting sensor, temperature limiting element's power cord weld on far infrared surface form electrothermal material's conductive copper foil, temperature limiting element's temperature limiting sensor fix the surface at far infrared surface form electrothermal material.
The far infrared intelligent heating system for the electric automobile is characterized in that the far infrared electric heating control system is composed of a heating integrated control device, a network communication device and a sensor device. The heating integrated control device comprises a gateway module and a heating integrated control module, the gateway module uploads sensor device data and receives an operation strategy command issued by a cloud central processing unit to a far infrared heating control system, the heating integrated control module receives the operation strategy command issued by the gateway and executes the operation strategy command, the network communication device comprises a wired communication module or a wireless communication module, the wired communication module is used for communication between the sensor device and the heating integrated control device, the wireless communication module is used for communication between the heating integrated control device and the cloud processor, the sensor device is used for monitoring the temperature in a passenger cabin, and the temperature sensors are located on a far infrared electric heating surface-shaped material and temperature measuring points in the cabin.
The utility model provides an foretell intelligent heating system of electric automobile far infrared, wherein, far infrared electric heating control assembly insert automobile-used gateway, far infrared electric heating control assembly includes temperature sensor and temperature control component, temperature sensor be located far infrared surface form electric heating material go up with in the cabin, install the temperature that one or more temperature sensor are used for real-time detection operating condition on every far infrared surface form electric heating material, temperature control component control cabin floor and the operating condition of the far infrared surface form electric heating material on the seat.
The far infrared intelligent heating system for the electric automobile is characterized by comprising a user vehicle heating data layer, a user vehicle heating personalized prediction model end and an application program end.
In the above far infrared intelligent heating system for the electric automobile, the user vehicle heating personalized prediction model end cleans and processes data of a user vehicle heating data layer to obtain training data; leading the training data into a neural network for deep learning to generate an individual prediction model of the vehicle heating of the user; and the user vehicle heating data layer continuously guides newly generated user vehicle heating data into the neural network, and the personalized prediction model of the user vehicle heating is obtained through training and optimization.
The aforesaid far infrared intelligent heating system of electric automobile, wherein, user's vehicle heating data layer includes: acquiring related data of heating of a user vehicle, wherein the related data comprises: usage data and environmental data; the usage data includes: the method comprises the steps of opening time-based geographic position information, closing time-based geographic position information, heating opening time of each position of front and rear cabin floors, heating closing time of each position of front and rear cabin floors, heating temperature setting data of each position of front and rear cabin floors, heating temperature adjusting data of each position of front and rear cabin floors, heating opening time of each seat in front and rear rows, heating closing time of each seat in front and rear rows, temperature setting data of each seat in front and rear rows, and temperature adjusting data of each seat in front and rear rows; the environmental data includes: weather data of the geographic position of the user vehicle and environmental data uploaded by a temperature sensor in a passenger compartment of the user vehicle.
The aforesaid electric automobile far infrared intelligence heating system, wherein, the data to user's vehicle heating data layer wash include: and deleting the problem data and the abnormal data to obtain the number of the cleaned training data. The cleaned training data is preprocessed data which accords with a neural network input structure.
The electric automobile far infrared intelligent heating system is characterized in that the personalized prediction model for user vehicle heating is obtained by leading the preprocessed data which conform to the neural network input structure into a preset neural network for learning and training. The personalized prediction model comprises: the heating starting time and the set temperature of the common geographical position, the heating areas of the front cabin and the rear cabin, the heating areas of the front row of seats and the rear row of seats.
In the above far infrared intelligent heating system for the electric vehicle, the personalized prediction model for user vehicle heating obtained by training and optimization is to continuously collect user vehicle heating data and upload the user vehicle heating data to a data layer, and after the personalized prediction model for user vehicle heating is trained and optimized, the personalized prediction model for user vehicle heating again forms user operation data.
The far infrared intelligent heating system for the electric automobile is characterized in that the application program end is a far infrared intelligent heating application program, and the far infrared intelligent heating application program is installed on a vehicle-mounted intelligent system of the electric automobile and on mobile equipment or wearable equipment. The far infrared intelligent heating application program further comprises man-machine conversation interaction, and the man-machine conversation interaction comprises heating command execution interaction and intelligent active reminding interaction. The interface of the far infrared intelligent heating system application program can start or stop heating at each position of the front and rear cabin floors and heating at each seat in the front and rear rows, and can set the heating temperature at each position of the front and rear cabin floors and the heating temperature at each seat in the front and rear rows.
The far infrared intelligent heating system for the electric automobile is characterized in that the intelligent active reminding interaction actively initiates a reminding or inquiry to the user according to operation data of the user generated by the personalized prediction model of the vehicle heating of the user, and executes the operation of the intelligent heating control system according to an instruction of the user.
Due to the adoption of the scheme, the far infrared intelligent heating system for the electric automobile has the following advantages and positive technical effects compared with the prior art:
1) according to the far infrared intelligent heating system for the electric automobile, heat transfer is mainly achieved through far infrared radiation, far infrared light waves with the size of 5-15 micrometers are released, the heating speed is high, the stable working state can be achieved through the temperature of the far infrared intelligent heating system after the far infrared intelligent heating system is generally started for 15 minutes, the temperature is gradually decreased from bottom to top during heating, and the heating of feet and heads is more comfortable;
2) the far infrared intelligent heating system for the electric automobile adopts far infrared planar electric heating materials as heat sources, and the design power is at least 60% lower than that of the existing heat pump and PTC. Meanwhile, an artificial intelligence control system is adopted, accurate control of heating is achieved, waste of electric energy in the using process is avoided, and compared with the existing vehicle heating technology, the scheme can save energy by at least 65-75% in total.
3) According to the far infrared intelligent heating system for the electric automobile, the heating area is opened according to the position where a passenger sits during heating, so that the heating is accurately realized, man-machine interaction starting heating can be performed in advance according to living habits and rules of vehicle users, the vehicle users can get on the automobile to reach the set temperature, the system is comfortable and convenient, and at least one quarter of endurance is added for the electric automobile compared with the existing heating mode.
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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative work.
Fig. 1 to 3 are block diagrams of the far infrared intelligent heating system of the electric vehicle provided in different embodiments of the present invention, respectively;
fig. 4 is a flow chart of a far infrared intelligent heating method for an electric vehicle according to an embodiment of the invention.
Detailed Description
The present disclosure will be described in further detail with reference to the drawings and embodiments. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not to be construed as limitations of the present disclosure. It is also noted that, for the convenience of description, only the portions relevant to the present disclosure are shown in the drawings.
In addition, the embodiments and the features of the embodiments in the present disclosure may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Referring to fig. 1, an embodiment of the present invention provides a far infrared intelligent heating system for an electric vehicle, which is composed of a far infrared electric heating system, a far infrared electric heating control system, an intelligent heating control system, and a cloud processor; the intelligent heating control system continuously obtains user behavior operation data from the far infrared electric heating control system, generates a user heating operation strategy through deep learning, and sends a work order to the far infrared electric heating control system through the cloud processor, and the far infrared electric heating control system controls the operation of the far infrared electric heating system.
In the embodiment, the far infrared electric heating system consists of far infrared planar electric heating materials distributed below a passenger cabin floor and seats, the far infrared planar electric heating materials are thermoplastic or thermosetting planar composite electric heating materials prepared by taking chopped carbon fibers or carbon nanotubes as infrared electric heating materials, the back of the far infrared planar electric heating materials also comprises an infrared reflecting layer and a heat insulating layer, the infrared emitting layer can adopt an aluminum foil reflecting film, and the heat insulating layer can adopt a phenolic resin sheet, heat insulating cotton or an aluminum silicate fiber felt. At present, a heat pump or PTC heating of automobile heating mainly heats air in an automobile cabin in a hot air mode, the heating in the automobile cabin is realized by discharging hot air from an air conditioner in the heating process, although the temperature and the wind speed can be adjusted, the heating is realized by heating the air in the automobile cabin in a strong convection mode, the density of the hot air is low, and the hot air floats upwards, so that the space at the upper part of the automobile cabin is heated firstly, the heating temperature of a seat position and a leg position of a human body generally needs 30-40 minutes to basically reach the heating temperature, and the heating temperature is usually very uncomfortable. The far infrared planar electric heating material is arranged under the floor of a passenger cabin and under a seat, because the infrared electric heating material adopts short carbon fibers or carbon nano tubes as heating materials, heat transfer mainly takes far infrared radiation, and far infrared light waves of 5-15 micrometers are released, the heating speed is high, the stable working state can be achieved by generally opening the temperature for 15 minutes, the temperature shows a gradual reduction trend from bottom to top during heating, and the basis of scientific heating of 'foot warming and head cooling' is met. More importantly, the infrared electric heating material is adopted for heating, the design power is generally 180W/square meter in 150 plus power, the whole vehicle power is generally about 1200W in 500 plus power, compared with the whole vehicle heating power of 3-4KW of heat pump plus PTC, the heating comfort is greatly improved, meanwhile, the energy-saving and electricity-saving effects are obvious, and the cruising mileage of the electric vehicle can be greatly increased.
In the embodiment, the far infrared planar electric heating material further comprises a conductive copper foil, two outgoing lines and a temperature limiting element, the conductive copper foil is arranged on a group of symmetrical long sides or short sides of the infrared electric heating material, one end of each outgoing line is welded to the conductive copper foil connected to the far infrared planar electric heating material, the other end of each outgoing line is provided with a vehicle universal type wiring terminal, the temperature limiting element comprises a power line and a temperature limiting sensor, the power line of the temperature limiting element is welded to the conductive copper foil of the far infrared planar electric heating material, and the temperature limiting sensor of the temperature limiting element is fixed on the surface of the far infrared planar electric heating material.
Referring to fig. 2, in one embodiment of the present invention, the far infrared electric heating control system is composed of a heating integrated control device, a network communication device and a sensor device; the heating integrated control device consists of a gateway module and a heating integrated control module, the gateway module uploads sensor device data and receives operation strategy commands issued by the cloud processor to the far infrared electric heating control system, the heating integrated control module receives and executes the operation strategy commands issued by the gateway, the network communication device comprises a wired communication module or a wireless communication module, the wired communication module is used for communication between the sensor device and the heating integrated control device, the wireless communication module is used for communication between the heating integrated control device and the cloud processor, the sensor device is used for monitoring the temperature in a passenger cabin, and the temperature sensors are positioned on far infrared electric heating surface-shaped materials and temperature measuring points in the cabin; the cloud processor may employ a public cloud and/or a private cloud.
Referring to fig. 3, in an embodiment of the present invention, the intelligent heating control system is composed of a user vehicle heating data layer, a user vehicle heating personalized prediction model end and an application program end.
In the embodiment, the user vehicle heating personalized prediction model end cleans and processes data of the user vehicle heating data layer to obtain training data; the training data is imported into a neural network for deep learning, and an individualized prediction model of the heating of the user vehicle is generated; and the user vehicle heating data layer continuously guides newly generated user vehicle heating data into the neural network, and the personalized prediction model of the user vehicle heating is obtained through training and optimization. The user vehicle heating data layer includes: acquiring related data of heating of a user vehicle, wherein the related data comprises: usage data and environmental data; the usage data includes: the method comprises the steps of opening time-based position information, closing time-based position information, heating opening time of each position of front and rear cabin floors, heating closing time of each position of the front and rear cabin floors, heating temperature setting data of each position of the front and rear cabin floors, heating temperature adjusting data of each position of the front and rear cabin floors, heating opening time of each seat in front and rear rows, heating closing time of each seat in front and rear rows, temperature setting data of each seat in front and rear rows, and temperature adjusting data of each seat in front and rear rows; the environmental data includes: the weather data of the geographic position of the user vehicle and the environmental data uploaded by the temperature sensor in the passenger cabin of the user vehicle.
In this embodiment, the cleaning the data of the user vehicle heating data layer includes: and deleting the problem data and the abnormal data to obtain the cleaned training data. The cleaned training data is preprocessed data which accords with a neural network input structure. The personalized prediction model for the heating of the user vehicle is obtained by importing the preprocessed data which conform to the input structure of the neural network into a preset neural network for learning and training, and comprises the following steps: the heating starting time and the set temperature of the common geographical position, the heating areas of the front cabin and the rear cabin, and the heating areas of the front row of seats and the rear row of seats. And the personalized prediction model for the heating of the user vehicle obtained by training and optimization is used for continuously collecting the heating data of the user vehicle and uploading the data to a data layer, and after the personalized prediction model for the heating of the user vehicle is trained and optimized, the personalized prediction model for the heating of the user vehicle forms the operation data of the user again.
In one embodiment of the invention, the application program end is a far infrared intelligent heating application program, and the far infrared intelligent heating application program is installed on a vehicle-mounted intelligent system of the electric vehicle and is installed on mobile equipment or wearable equipment; the far infrared intelligent heating application program further comprises man-machine conversation interaction, and the man-machine conversation interaction comprises heating command execution interaction and intelligent active reminding interaction; the interface of the far infrared intelligent heating system application program can start or stop heating at each position of the front and rear cabin floors and heating at each seat in the front and rear rows, and can set the heating temperature at each position of the front and rear cabin floors and the heating temperature at each seat in the front and rear rows.
In this embodiment, the intelligent active-alert interaction actively initiates an alert or query to the user based on the user's operational data generated from the personalized predictive model for vehicle heating, and executes the operation of the intelligent heating control system based on the user's instructions.
Referring to fig. 4, an embodiment of the present invention provides a method for heating based on a far infrared intelligent system of an electric vehicle, where the method includes:
the intelligent heating control system continuously acquires user behavior operation data from the far infrared electric heating control system;
generating a user heating operation strategy by deep learning of user behavior operation data acquired by an intelligent heating control system;
the cloud processor issues an operation strategy work order to the far infrared electric heating control system;
the far infrared electric heating control system controls the operation of the far infrared electric heating system according to the operation strategy work order.
In the embodiment, a user vehicle heating personalized prediction model end of the intelligent heating control system cleans and processes data of a user vehicle heating data layer to obtain training data; importing training data into a neural network for deep learning to generate an individualized prediction model for vehicle heating of a user; and continuously importing the newly generated user vehicle heating data into the neural network by the user vehicle heating data layer, and training and optimizing to obtain an individualized prediction model of the user vehicle heating.
It should be understood that the various techniques described herein may be implemented in connection with hardware or software or, alternatively, with a combination of both. Thus, the methods and apparatus of the present invention, or certain aspects or portions thereof, may take the form of program code (i.e., instructions) embodied in tangible media, such as floppy diskettes, CD-ROMs, hard drives, or any other machine-readable storage medium, wherein, when the program is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the invention.
In the case of program code execution on programmable computers, the computing device will generally include a processor, a storage medium readable by the processor (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. Wherein the memory is configured to store program code; the processor is configured to perform the various methods of the present invention according to instructions in the program code stored in the memory.
By way of example, and not limitation, computer readable media may comprise computer storage media and communication media. Computer-readable media includes both computer storage media and communication media. Computer storage media store information such as computer readable instructions, data structures, program modules or other data. Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. Combinations of any of the above are also included within the scope of computer readable media.
It should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the method of the invention should not be construed to reflect the intent: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules or units or components of the apparatus in the examples invented herein may be arranged in an apparatus as described in this embodiment or alternatively may be located in one or more apparatuses different from the apparatus in this example. The modules in the foregoing examples may be combined into one module or may be further divided into multiple sub-modules.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and placed in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features of the invention in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so invented, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature of the invention in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than others, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Furthermore, some of the described embodiments are described herein as a method or combination of method elements that can be performed by a processor of a computer system or by other means of performing the described functions. A processor having the necessary instructions for carrying out the described method or method element thus forms a means for carrying out the method or method element. Further, the elements of the apparatus embodiments described herein are examples of the following apparatus: the apparatus is used to implement the functions performed by the elements for the purpose of carrying out the invention.
As used herein, unless otherwise specified the use of the ordinal adjectives "first", "second", "third", etc., to describe a common object, merely indicate that different instances of like objects are being referred to, and are not intended to imply that the objects so described must be in a given sequence, either temporally, spatially, in ranking, or in any other manner.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention is to be considered as illustrative and not restrictive in character, with the scope of the invention being indicated by the appended claims.
Claims (12)
1. A far infrared intelligent heating system of an electric automobile is characterized by comprising a far infrared electric heating system, a far infrared electric heating control system, an intelligent heating control system and a cloud processor; intelligence heating control system constantly follows far-infrared electric heating control system acquires user's action operational data and generates user's heating operation strategy and by deep learning the high in the clouds treater to far-infrared electric heating control system issues the work order, far-infrared electric heating control system control far-infrared electric heating system's operation.
2. The far infrared intelligent heating system of the electric automobile according to claim 1, wherein the far infrared electric heating system is composed of far infrared planar electric heating materials distributed under a cabin floor and a seat, the far infrared planar electric heating materials are thermoplastic and/or thermosetting planar composite electric heating materials prepared by taking chopped carbon fibers and/or carbon nanotubes as infrared electric heating materials, the back of the far infrared planar electric heating materials further comprises an infrared reflecting layer and a heat insulating layer, the infrared reflecting layer can adopt an aluminum foil reflecting film, and the heat insulating layer can adopt a phenolic resin sheet, heat insulating cotton or an aluminum silicate fiber felt.
3. The far infrared intelligent heating system of the electric automobile according to claim 2, further comprising a conductive copper foil, two outgoing lines and a temperature limiting element, wherein the conductive copper foils are arranged on a set of symmetrical long sides or short sides of the infrared electric heating material, one ends of the outgoing lines are respectively welded to the conductive copper foils connected to the far infrared planar electric heating material, the other ends of the outgoing lines are provided with automobile universal type wiring terminals, the temperature limiting element comprises a power line and a temperature limiting sensor, the power line of the temperature limiting element is welded to the conductive copper foil of the far infrared planar electric heating material, and the temperature limiting sensor of the temperature limiting element is fixed on the surface of the far infrared planar electric heating material.
4. The far infrared intelligent heating system for the electric automobile according to claim 1, wherein the far infrared electric heating control system is composed of a heating integrated control device, a network communication device and a sensor device; the heating integrated control device consists of a gateway module and a heating integrated control module, the gateway module uploads sensor device data and receives operation strategy commands issued by the cloud processor to the far infrared electric heating control system, the heating integrated control module receives and executes the operation strategy commands issued by the gateway, the network communication device comprises a wired communication module and a wireless communication module, the wired communication module is used for communication between the sensor device and the heating integrated control device, the wireless communication module is used for communication between the heating integrated control device and the cloud processor, the sensor device is used for monitoring the temperature in a passenger cabin, and the temperature sensors are positioned on far infrared planar electric heating materials and temperature measuring points in the cabin; the cloud processor may employ a public cloud and/or a private cloud.
5. The far infrared intelligent heating system of the electric automobile according to claim 1, wherein the intelligent heating control system is composed of a user vehicle heating data layer, a user vehicle heating personalized prediction model end and an application program end.
6. The far-infrared intelligent heating system of the electric automobile according to claim 5, wherein the user vehicle heating personalized prediction model end cleans and processes data of the user vehicle heating data layer to obtain training data; the training data is imported into a neural network for deep learning, and an individualized prediction model of the heating of the user vehicle is generated; and the user vehicle heating data layer continuously guides newly generated user vehicle heating data into the neural network, and the personalized prediction model of the user vehicle heating is obtained through training and optimization.
7. The far infrared intelligent heating system for the electric automobile of claim 5, wherein the user vehicle heating data layer comprises: acquiring related data of heating of a user vehicle, wherein the related data comprises: usage data and environmental data; the usage data includes: the method comprises the steps of opening time-based geographic position information, closing time-based geographic position information, heating opening time of each position of front and rear cabin floors, heating closing time of each position of the front and rear cabin floors, heating temperature setting data of each position of the front and rear cabin floors, heating temperature adjusting data of each position of the front and rear cabin floors, heating opening time of each seat in front and rear rows, heating closing time of each seat in front and rear rows, temperature setting data of each seat in front and rear rows, and temperature adjusting data of each seat in front and rear rows; the environmental data includes: the geographical position meteorological data of the user vehicle and the environmental data uploaded by the temperature sensor in the passenger cabin of the user vehicle.
8. The far infrared intelligent heating system for the electric automobile of claim 6, wherein the cleaning the data of the user vehicle heating data layer comprises: and deleting the problem data and the abnormal data to obtain cleaned training data, wherein the cleaned training data is preprocessed data which accords with a neural network input structure.
9. The far-infrared intelligent heating system of the electric automobile of claim 6, wherein the personalized prediction model for the heating of the user vehicle is a personalized prediction model for the heating of the user vehicle obtained by importing the preprocessed data conforming to the input structure of the neural network into a preset neural network for learning and training, and the personalized prediction model comprises: the heating starting time and the set temperature of the common geographical position, the heating areas of the front cabin and the rear cabin, the heating areas of the front row of seats and the rear row of seats.
10. The far-infrared intelligent heating system of the electric automobile of claim 6, wherein the training and optimization to obtain the personalized prediction model of the heating of the user vehicle is to continuously collect the heating data of the user vehicle and upload the data to a data layer, and after the training and optimization to the personalized prediction model of the heating of the user vehicle, the personalized prediction model of the heating of the user vehicle generates the operation data of the user again.
11. The far infrared intelligent heating system of the electric vehicle as claimed in claim 5, wherein the application program terminal is a far infrared intelligent heating application program, and the far infrared intelligent heating application program is installed in a vehicle-mounted intelligent system of the electric vehicle, and is installed on a mobile device or a wearable device; the far infrared intelligent heating application program comprises man-machine conversation interaction, and the man-machine conversation interaction comprises heating command execution interaction and intelligent active reminding interaction; the interface of the far infrared intelligent heating system application program can start or stop heating at each position of the front and rear cabin floors and heating at each seat in the front and rear rows, and can set the heating temperature at each position of the front and rear cabin floors and the heating temperature at each seat in the front and rear rows.
12. The far infrared intelligent heating system for the electric automobile according to claim 11, wherein the intelligent active prompting interaction actively initiates a prompt or query to the user according to operation data of the user generated by a personalized prediction model of the heating of the vehicle of the user, and executes the operation of the intelligent heating control system according to the instruction of the user.
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