CN114407659A - New energy automobile data analysis method based on big data - Google Patents
New energy automobile data analysis method based on big data Download PDFInfo
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- CN114407659A CN114407659A CN202210045453.0A CN202210045453A CN114407659A CN 114407659 A CN114407659 A CN 114407659A CN 202210045453 A CN202210045453 A CN 202210045453A CN 114407659 A CN114407659 A CN 114407659A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000007405 data analysis Methods 0.000 title claims abstract description 21
- 238000004146 energy storage Methods 0.000 claims abstract description 16
- 230000005611 electricity Effects 0.000 claims abstract description 9
- 238000006243 chemical reaction Methods 0.000 claims description 19
- 230000005540 biological transmission Effects 0.000 claims description 15
- 238000011084 recovery Methods 0.000 claims description 10
- 238000003032 molecular docking Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 abstract description 5
- 238000004458 analytical method Methods 0.000 abstract description 2
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- 210000001503 joint Anatomy 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
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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
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/12—Recording operating variables ; Monitoring of operating variables
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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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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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
- B60L8/00—Electric propulsion with power supply from forces of nature, e.g. sun or wind
- B60L8/003—Converting light into electric energy, e.g. by using photo-voltaic systems
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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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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention relates to the technical field of automobile data analysis methods, in particular to a new energy automobile data analysis method based on big data. The following technical scheme is proposed: including host system, the energy management module, the energy storage module, power drive module, the stroke record module, surplus electricity statistics module, data transfer module, low energy warning module, energy receiving module, the energy storage module, power drive module, the stroke record module, surplus electricity statistics module, data transfer module, low energy warning module and energy receiving module connect gradually for the condition of storing the electric energy in the car is analyzed and is sent out the warning through data transfer. The new energy automobile analysis method can effectively overcome the defect of power shortage in the midway of the automobile, so that the automobile can keep a stable running state, and can also be converted into electric energy by utilizing solar energy to be stored during running, thereby further realizing the function of environmental protection; the method is mainly applied to new energy automobiles.
Description
Technical Field
The invention relates to the technical field of automobile data analysis methods, in particular to a new energy automobile data analysis method based on big data.
Background
The new energy automobile comprises four types, namely a hybrid electric automobile, a pure electric automobile, a fuel cell electric automobile and other new energy automobiles, wherein the pure electric automobile is a new energy automobile which is very popular in our lives, has the advantages of energy conservation and environmental protection, is small in pollution and very sufficient in power, and is an automobile which is vigorously popularized by the nation; under the pressure of energy and environmental protection, new energy automobiles undoubtedly become the development direction of future automobiles; the existing electric energy new energy automobile achieves the advantages of energy conservation and environmental protection when in use;
his control system has certain drawbacks; the method is characterized in that energy is directly supplied by electric energy when the vehicle runs, if the vehicle runs halfway, the vehicle needs to be charged in time, if the vehicle does not run for a long time, the next trip is influenced, and certain trouble is brought to people.
Disclosure of Invention
The invention aims to solve the problems in the prior art: the electric new energy automobile is charged in time when the electric quantity is low, the next step of travel is influenced if the electric new energy automobile is not charged in time, and the conventional electric new energy automobile is charged only and cannot store auxiliary energy; therefore, a new energy automobile data analysis method based on big data is provided.
The invention provides a new energy automobile data analysis method based on big data, which comprises a main control module, an energy source domination module, an energy source storage module, a power driving module, a travel recording module, a residual electricity statistics module, a data transmission module, a low energy warning module, an energy source receiving module, a solar energy receiving module, an energy source conversion module and an energy supply module, wherein the main control module, the energy source domination module, the energy source storage module, the power driving module, the travel recording module, the residual electricity statistics module, the data transmission module, the low energy warning module and the energy source receiving module are sequentially connected and used for analyzing the condition of electric energy stored in an automobile and sending warning through data transmission, the solar energy receiving module, the energy source conversion module and the energy supply module are sequentially connected, the input end of the solar energy receiving module is connected with the output end of the main control module, the solar energy collecting and converting device is used for absorbing external solar energy and converting the solar energy into electric energy, the output end of the energy supply module is also connected with the input end of the energy receiving module, and energy supply is achieved under emergency conditions.
Preferably, still include vice energy storage module and energy locking module, the output of vice energy storage module is connected with energy locking module's input, energy locking module's output is connected with energy receiving module's input, vice energy storage module's input is connected with energy supply module's output for the electric energy to unnecessary solar energy conversion is stored.
Preferably, the vehicle-mounted power supply further comprises a driving recovery module and a driving module, wherein the output end of the driving recovery module is connected with the input end of the driving module, the input end of the driving recovery module is connected with the output end of the energy receiving module, and the input end of the driving module is further connected with the output end of the data transmission module and used for recovering the driving to normally drive.
Preferably, the energy source constant module further comprises an output end of the energy source constant module is connected with an input end of the energy source dominating module and is used for playing a constant role when the energy source is dominated.
Preferably, the device also comprises a balance starting module, wherein the output end of the balance starting module is connected with the input end of the power driving module, and the balance starting module can be started stably during primary driving.
Preferably, the system further comprises a guiding and tracking module, wherein an output end of the guiding and tracking module is connected with an input end of the travel recording module and is used for guiding and positioning in the driving process.
Preferably, the energy-saving alarm device further comprises a voice alarm module, wherein the output end of the voice alarm module is connected with the input end of the energy receiving module and is used for playing a role of voice notification when low-energy warning is performed.
Preferably, the energy receiving module comprises a transfer information conversion unit, an energy transfer unit, a secondary matching unit and a successful docking unit, and the transfer information conversion unit, the energy transfer unit, the secondary matching unit and the successful docking unit are sequentially connected and used for playing a role of rapid docking when the energy is converted and received.
Compared with the prior art, the invention has the following beneficial technical effects:
according to the invention, the low-energy warning module, the energy receiving module and the driving recovery module are arranged, so that the warning effect can be achieved when the new energy automobile has bottom electric energy, and the solar energy receiving module, the energy conversion module and the energy supply module are arranged, and the output end of the energy supply module is connected with the input end of the energy receiving module and is used for supplying energy to the automobile in an emergency, so that the automobile can normally run, and the journey of people is not delayed;
the auxiliary energy storage module and the energy locking module are arranged, so that electric energy converted from solar energy can be stored, and the requirement of the energy receiving module is supplied at a critical moment, so that an auxiliary energy can be stored and supplied to an automobile in the driving process, and the emergency requirement of people is met;
according to the invention, the transfer information conversion unit, the energy transfer unit, the secondary matching unit and the successful butt joint unit are arranged, so that the automobile can quickly change the receiving state when the energy conversion is received, the secondary energy supply mode can be quickly matched, and the automobile can quickly recover the driving mode;
in conclusion, the new energy automobile analysis method designed by the invention can effectively overcome the defect of power shortage of the automobile in the midway, so that the automobile can keep a stable running state, and can also utilize solar energy to be converted into electric energy for storage during running, thereby further realizing the function of environmental protection.
Drawings
FIG. 1 is a flow diagram of a new energy vehicle data analysis method based on big data;
FIG. 2 is a partial flow diagram of the present invention.
Detailed Description
Example one
Referring to fig. 1 and 2, the new energy vehicle data analysis method based on big data comprises a main control module, an energy management module, an energy storage module, a power driving module, a travel recording module, a surplus electricity statistics module, a data transmission module, a low energy warning module, an energy receiving module, a solar energy receiving module, an energy conversion module and an energy supply module, wherein the main control module, the energy management module, the energy storage module, the power driving module, the travel recording module, the surplus electricity statistics module, the data transmission module, the low energy warning module and the energy receiving module are sequentially connected and used for analyzing the situation of electric energy stored in a vehicle and sending a warning through data transmission, the solar energy receiving module, the energy conversion module and the energy supply module are sequentially connected, the input end of the solar energy receiving module is connected with the output end of the main control module, the solar energy collecting and converting device is used for absorbing external solar energy and converting the solar energy into electric energy, the output end of the energy supply module is also connected with the input end of the energy receiving module, energy supply is realized under an emergency condition, the automobile cannot stop running due to the fact that the automobile is powered off midway, and the running stroke of energy supply can be prolonged when people run for a long distance; the energy receiving module comprises a transmitted information conversion unit, an energy transfer unit, a secondary matching unit and a successful butt joint unit, wherein the transmitted information conversion unit, the energy transfer unit, the secondary matching unit and the successful butt joint unit are sequentially connected and are used for playing a role of quick butt joint when energy is converted and received; the receiving state of the automobile can be quickly changed when the energy conversion is received, the secondary energy supply mode can be quickly matched, the automobile can quickly recover the driving mode, and the phenomenon that the automobile runs in a stuck state due to the conversion of energy supply is avoided; the driving recovery module is connected with the input end of the driving module, the input end of the driving recovery module is connected with the output end of the energy receiving module, and the input end of the driving module is also connected with the output end of the data transmission module and used for recovering driving to normally drive; the energy source control system further comprises an energy source constant module, wherein the output end of the energy source constant module is connected with the input end of the energy source control module and used for playing a constant role when the energy source control is performed, so that the energy source supply of the internal functions of the automobile can be very stable.
Example two
Referring to fig. 1, compared with the first embodiment, the new energy vehicle data analysis method based on big data provided by the present invention further includes: still include vice energy storage module and energy locking module, the output of vice energy storage module is connected with energy locking module's input, energy locking module's output is connected with energy receiving module's input, vice energy storage module's input is connected with the output of energy supply module, an electric energy for converting unnecessary solar energy is stored, because traditional electronic new energy automobile is single only realizes the energy supply through charging, make the car not enough in the time of long-distance traveling energy very easily like this, and through setting up vice energy storage module and energy locking module in this application, can get up and lock solar energy conversion's electric energy storage, in case when the low energy warning appears, energy locking module will be automatic unblock immediately and supply energy to the car, make the car can the fast recovery state of traveling.
EXAMPLE III
Referring to fig. 1, compared with the first embodiment or the second embodiment, the new energy vehicle data analysis method based on big data provided by the invention further includes the following steps: the electric automobile further comprises a balance starting module, the output end of the balance starting module is connected with the input end of the power driving module, the electric automobile can be started stably in the primary driving process, and certain danger exists because the starting power of the existing electric automobile is too large due to too enough electric quantity when the existing electric automobile runs; the output end of the guiding and tracking module is connected with the input end of the travel recording module, and the guiding and tracking module is used for playing a role in guiding and positioning in the driving process and safely recording the driving range; still include the voice alarm module, the output of voice alarm module is connected with the input of energy receiving module for play the effect of voice announcement when the low energy is warned, make people can be quick learn the low condition of electric quantity, plan the preparation of journey and ready charging in advance.
The data analysis method of examples 1-3 includes the steps of:
s1: the main control module controls the domination of the energy of the whole electric automobile, so that the automobile has a perfect functional energy supply mode, and the balance starting module can enable the automobile to have a stable starting state when the automobile is started;
s2: the surplus condition of the electric energy is counted by the surplus electricity counting module and the data transmission module in the running process of the automobile, when the electric energy is low, the data transmission module sends an electric signal to the low-energy warning module, then the energy receiving module sends an electric signal to the energy supply module, so that the energy supply module has an emergency function on the automobile, if the weather is overcast and rainy, the low-energy warning module sends an electric signal to the energy locking module, and the energy locking module sends an electric signal to the energy receiving module, so that the automobile is functioned, and the automobile is recovered to run normally;
s3: when the data statistics electric energy is sufficient, the data transmission module sends an electric signal to the driving module to enable the automobile to normally drive, so that the automobile cannot stop driving suddenly due to insufficient electric quantity, and the automobile has a stable state in long-distance driving.
The above embodiments are merely some preferred embodiments of the present invention, and those skilled in the art can make various alternative modifications and combinations of the above embodiments based on the technical solution of the present invention and the related teaching of the above embodiments.
Claims (8)
1. A new energy automobile data analysis method based on big data is characterized by comprising a main control module, an energy source domination module, an energy source storage module, a power driving module, a travel record module, a residual electricity statistic module, a data transmission module, a low energy warning module, an energy source receiving module, a solar energy receiving module, an energy source conversion module and an energy supply module, wherein the main control module, the energy source domination module, the energy source storage module, the power driving module, the travel record module, the residual electricity statistic module, the data transmission module, the low energy warning module and the energy source receiving module are sequentially connected and used for analyzing the condition of electric energy stored in an automobile and sending warning through data transmission, the solar energy receiving module, the energy source conversion module and the energy supply module are sequentially connected, the input end of the solar energy receiving module is connected with the output end of the main control module, the solar energy collecting and converting device is used for absorbing external solar energy and converting the solar energy into electric energy, the output end of the energy supply module is also connected with the input end of the energy receiving module, and energy supply is achieved under emergency conditions.
2. The big-data-based new energy automobile data analysis method according to claim 1, further comprising a secondary energy storage module and an energy locking module, wherein an output end of the secondary energy storage module is connected with an input end of the energy locking module, an output end of the energy locking module is connected with an input end of the energy receiving module, and an input end of the secondary energy storage module is connected with an output end of the energy supply module, and is used for storing electric energy converted from redundant solar energy.
3. The big-data-based new energy automobile data analysis method according to claim 2, further comprising a driving recovery module and a driving module, wherein an output end of the driving recovery module is connected with an input end of the driving module, an input end of the driving recovery module is connected with an output end of the energy receiving module, and an input end of the driving module is further connected with an output end of the data transmission module, and is used for recovering driving normal driving.
4. The big-data-based new energy automobile data analysis method according to claim 1, further comprising an energy source constant module, wherein an output end of the energy source constant module is connected with an input end of the energy source dominating module, and the energy source constant module is used for playing a constant role when energy sources are dominated.
5. The new energy automobile data analysis method based on big data as claimed in claim 4, characterized by further comprising a balance starting module, wherein an output end of the balance starting module is connected with an input end of the power driving module, and the balance starting module can be started smoothly during initial driving.
6. The new energy vehicle data analysis method based on big data according to claim 1, characterized by further comprising a guiding and tracking module, wherein an output end of the guiding and tracking module is connected with an input end of the travel recording module, and the guiding and tracking module is used for guiding and positioning in the driving process.
7. The big-data-based new energy automobile data analysis method according to claim 6, further comprising a voice alarm module, wherein an output end of the voice alarm module is connected with an input end of the energy receiving module, and the voice alarm module is used for playing a role of voice notification when low-energy warning is given.
8. The big-data-based new energy automobile data analysis method according to claim 1, wherein the energy receiving module comprises a transfer information conversion unit, an energy transfer unit, a secondary matching unit and a successful docking unit, and the transfer information conversion unit, the energy transfer unit, the secondary matching unit and the successful docking unit are sequentially connected and are used for achieving a rapid docking effect during energy transfer and reception.
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CN108608868A (en) * | 2016-12-09 | 2018-10-02 | 江苏卡威汽车工业集团有限公司 | Based on solar energy can automatic stored energy source electric vehicle and warning parking lot |
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2022
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Patent Citations (7)
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US20090026838A1 (en) * | 2007-07-24 | 2009-01-29 | Denso Corporation | Power supply management system |
CN102910082A (en) * | 2011-08-05 | 2013-02-06 | 微宏动力系统(湖州)有限公司 | Main and auxiliary power supply switching system for electric vehicle |
CN103587410A (en) * | 2012-08-14 | 2014-02-19 | 苏州瑞佳新能源动力科技有限公司 | Pure electrical double-engine energy feedback power assembly |
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