CN114905986A - Intelligent charging navigation system of electric automobile - Google Patents
Intelligent charging navigation system of electric automobile Download PDFInfo
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- CN114905986A CN114905986A CN202210597170.7A CN202210597170A CN114905986A CN 114905986 A CN114905986 A CN 114905986A CN 202210597170 A CN202210597170 A CN 202210597170A CN 114905986 A CN114905986 A CN 114905986A
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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
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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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- 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
- 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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- Transportation (AREA)
- Mechanical Engineering (AREA)
- Navigation (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses an intelligent charging navigation system of an electric automobile, relates to the technical field of electric automobiles, and solves the technical problem that a driver makes a judgment mistake due to inaccurate driving distance displayed inside the electric automobile; the data acquisition end acquires driving data, operation data and external data, wherein the driving data are transmitted to the loss electric quantity ratio unit, and the driving data are processed to obtain a loss electric quantity ratio mean value; operation data and external data all carry to in the data processing center, the processing center accounts for the mean value to the electric quantity that runs off, operation data and external data merge the processing, obtain the calibration mileage value that electric automobile can go, the calibration mileage value that obtains according to multiple mode is more accurate, the navigating mate of being convenient for judges, carry out data acquisition to different charging stations, acquire the merits of different charging stations according to the data of difference, promote navigating mate's driving experience, the navigating mate of being convenient for in time finds the effectual charging station of experience.
Description
Technical Field
The invention belongs to the technical field of electric automobiles, and particularly relates to an intelligent charging navigation system for an electric automobile.
Background
The electric automobile is a vehicle which takes a vehicle-mounted power supply as power and drives wheels by a motor to run, meets various requirements of road traffic and safety regulations, and needs a special charging navigation system to perform navigation processing on the electric automobile when the electric automobile is charged.
The patent publication No. CN110293872B discloses an intelligent charging navigation system and method capable of comprehensively considering driving distance, battery loss, geographical position and electricity price fluctuation for electric vehicle users. The intelligent charging navigation system comprises a vehicle information module, a charging station information module, an information evaluation module, a navigation information module and a parking space reservation module, wherein data acquisition and evaluation are carried out, a charging station is intelligently selected for a vehicle owner according to the requirement of the vehicle owner, the vehicle owner is helped to reduce the charging cost or the battery attenuation cost, and navigation and parking space reservation services are provided.
The current electric automobile can produce the signal alarm that charges that corresponds when the electric quantity remains, and the suggestion navigating mate in time charges, and the intelligent navigation in-process, because of the inside journey that shows of electric automobile is inaccurate, leads to navigating mate to judge and makes mistakes, when navigating mate was in the highway section, then caused the vehicle to break down in the maintenance highway section very easily, seriously influences navigating mate's driving experience.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides an intelligent charging navigation system for an electric automobile, which is used for solving the technical problem that a driver makes a judgment mistake due to inaccurate running distance displayed inside the electric automobile.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an intelligent charging navigation system for an electric vehicle, including:
the data acquisition terminal is used for acquiring driving data, operation data and external data and transmitting the acquired data to the processing terminal;
the processing terminal comprises a loss electric quantity ratio unit, a data processing center and a selection unit, the driving data are transmitted to the loss electric quantity ratio unit, and the loss electric quantity ratio unit processes the driving data to obtain a loss electric quantity ratio mean value;
the operation data and the external data are transmitted to a data processing center, and the data processing center carries out merging processing on the loss electric quantity ratio mean value, the operation data and the external data to obtain a calibrated mileage value capable of being driven by the electric automobile;
and the data processing center enables the electric automobile to find the matched charging station in time according to the calibrated mileage value and the data stored in the data terminal of the charging station.
Preferably, the driving data includes a traveled distance and a consumed electric quantity, and the step of processing the driving data by the lost electric quantity proportion unit is as follows:
recording data from the time of initial startup to the time of shutdown of the electric car when the electric car is full of electricity, marking the recorded traveled distance as LC, and marking the consumed electric quantity as DL;
obtaining a driving electric quantity value SL by using SL-LC multiplied by P1, wherein P1 is a preset guidance factor, and the guidance factor is set by an operator according to the self-setting;
by using
Obtaining a ratio ZB of the lost electricity, wherein ^ is a correction factor, and the value is 0.95632;
pre-storing the first group of loss electric quantity ratio values ZB obtained by processing, and processing and obtaining a second group of loss electric quantity ratio values ZB before the vehicle is started next time until obtaining the three groups of loss electric quantity ratio values ZB;
and carrying out average treatment on the three groups of power loss ratio values ZB to obtain a power loss ratio average value ZBJ.
Preferably, the operation data comprises throttle force at a corresponding time interval, and the external data is external wind power;
the data processing center processes the throttle dynamics in different corresponding time periods by the following steps:
dividing 1h into 12 time periods, wherein each time period is 5min, marking the throttle force as YMi, and marking the external wind force as Fi, wherein i represents different time periods;
by using
Obtaining power consumption values HDi in different time periods;
then adopt again
Obtaining the power consumption average value HDJi of 12 time periods, and marking the power consumption average value HDJi as data to be processed;
acquiring the mileage of each time period, and carrying out average processing to obtain the average value LSi of the mileage;
by using
A conversion factor DX is obtained, and the conversion factor DX is stored in the data processing center.
Preferably, the data processing center acquires the residual electric quantity value SY of the electric automobile in real time, and performs mileage update according to the residual electric quantity value SY, wherein the mileage update step is as follows:
obtaining an actual electric quantity value SJD by adopting SJD ═ SY- (SY multiplied by ZB);
then adopt again
And obtaining a calibrated mileage value SJL.
Preferably, the charging station data terminal stores therein data to be used by the charging station, wherein the data to be used includes a charging price, geographical location information and corresponding rating of the charging station.
Preferably, the data processing center processes the data to be used, including:
marking the charging price as JG k Acquiring the distance to be traveled according to the geographical position information and the actual position of the electric automobile, and marking the distance to be traveled as LJ k Marking the corresponding charging station goodness as HP k Where k represents a different charging station;
distance to be traveled LJ k Marking as first priority, obtaining coincidence LJ k Distance < SJL-Y1Wherein Y1 is a safe distance, the safe distance being empirically determined by an operator;
then through YXJ k ＝JG k ×Q1+LJ k ×Q2+HP k XQ 3 obtaining the alignment YXJ k Wherein Q1, Q2, and Q3 are all fixed conduction factors;
by arranging the values YXJ k And the k values are arranged according to numerical values from large to small, the selection unit extracts the first three groups of charging stations through the k values, and the first three groups of charging stations are displayed in a vehicle display screen through a display terminal for an operator to select.
Compared with the prior art, the invention has the beneficial effects that: the data acquisition end acquires driving data, operation data and external data, wherein the driving data are transmitted to the loss electric quantity ratio unit, and the loss electric quantity ratio unit processes the driving data to obtain a loss electric quantity ratio mean value; the operation data and the external data are transmitted to a data processing center, the processing center combines the loss electric quantity ratio mean value, the operation data and the external data to obtain a calibrated mileage value which can be driven by the electric automobile, and the calibrated mileage value obtained according to various modes is more accurate and is convenient for a driver to judge;
carry out data acquisition to different charging stations again, acquire the goodness of different charging stations according to the data of difference, will arrange again and transmit to outside man-machine terminal in to the first charging station of order to promote navigating mate's driving and experience, the navigating mate of being convenient for in time finds the effectual charging station of experience.
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Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present application provides an intelligent charging navigation system for an electric vehicle, which includes a data acquisition terminal, a processing terminal, a charging station data terminal, and a display terminal;
the output end of the data acquisition end is electrically connected with the input end of the processing terminal, the processing terminal is in bidirectional connection with the data end of the charging station, and the output end of the processing terminal is electrically connected with the input end of the display terminal;
the processing terminal comprises a loss electric quantity ratio unit, a data processing center and a selection unit;
the output end of the loss electric quantity proportion unit is electrically connected with the input end of the data processing center, and the data processing center is in bidirectional connection with the selection unit;
the data acquisition end is used for acquiring driving data, operation data and external data, and the data acquisition end transmits the acquired data to the processing terminal; the running data is transmitted to the loss electric quantity ratio unit, and the loss electric quantity ratio unit processes the running data to obtain a loss electric quantity ratio mean value;
the operation data and the external data are transmitted to a data processing center, and the data processing center combines the loss electric quantity ratio mean value, the operation data and the external data to obtain a calibrated mileage value which can be traveled by the electric automobile;
the data processing center enables the electric automobile to find the matched charging station in time according to the calibrated mileage value and the data stored in the data end of the charging station;
the charging station data terminal is internally stored with to-be-used data of the charging station, wherein the to-be-used data comprises the charging price, the geographical position information and the corresponding charging station goodness rating of the charging station;
the driving data comprises a traveled distance, a consumed electric quantity and a loss electric quantity ratio unit, and the driving data is processed by the following steps:
recording data from the time of initial startup to the time of shutdown of the electric vehicle when the electric vehicle is full of electricity (the initial startup refers to the time of initial startup of the vehicle, the shutdown refers to the state that traffic lights such as the vehicle and the like or other conditions are in a standing state), marking the recorded traveled distance as LC, and marking the consumed electric quantity as DL;
obtaining a driving electric quantity value SL by using the SL ═ LC × P1, wherein P1 is a preset guidance factor, and the guidance factor is set by an operator according to the self-setting;
by using
Obtaining the loss electric quantity ratio ZB, wherein
A correction factor, value 0.95632;
pre-storing the first group of loss electric quantity ratio values ZB obtained by processing, and processing and obtaining a second group of loss electric quantity ratio values ZB before the vehicle is started next time until obtaining the three groups of loss electric quantity ratio values ZB;
and carrying out average treatment on the three groups of power loss ratio values ZB to obtain a power loss ratio average value ZBJ.
The operation data comprises throttle force of a corresponding time period, and the external data is external wind power;
the data processing center processes the throttle dynamics in different corresponding time periods, acquires the driving habits of corresponding personnel, wherein the processing steps are as follows:
dividing 1h into 12 time periods, wherein each time period is 5min, marking the accelerator force as YMi, marking the external wind force as Fi, wherein i represents different time periods (the accelerator force YMi and the external wind force Fi are data average values in corresponding time periods, in a specific time period, the accelerator force YMi has multiple groups of different numerical values, averaging the multiple groups of different numerical values, and transmitting the processed average values to a data processing center);
by using
Obtaining power consumption values HDi in different time periods, wherein both C1 and C2 are preset fixed coefficient factors;
then adopt again
Obtaining the power consumption average value HDJi of 12 time periods, and marking the power consumption average value HDJi as data to be processed;
acquiring the mileage of each time period, and carrying out average processing to obtain the average value LSi of the mileage;
by using
A conversion factor DX is obtained, and the conversion factor DX is stored in the data processing center.
The data processing center acquires the residual electric quantity value SY of the electric automobile in real time, and performs mileage updating according to the residual electric quantity value SY, wherein the mileage updating step is as follows:
obtaining an actual electric quantity value SJD by adopting SJD ═ SY- (SY multiplied by ZB);
then adopt again
And obtaining a calibrated mileage value SJL.
The charging station data terminal transmits the data to be used to the data processing center, and the data processing center processes the data to be used:
marking the charging price as JG k Acquiring the distance to be traveled according to the geographical position information and the actual position of the electric automobile, and marking the distance to be traveled as LJ k Marking the corresponding charging station goodness of merit as HP k Where k represents a different charging station;
distance to be traveled LJ k Marking as first priority, obtaining LJ-compliant k Charging stations within a distance of travel of < SJL-Y1, where Y1 is a safe distance, the safe distance being drawn up by an operator based on experience;
then through YXJ k ＝JG k ×Q1+LJ k ×Q2+HP k XQ 3 obtaining the alignment YXJ k Wherein Q1, Q2, and Q3 are all fixed conduction factors (alignment values YXJ) k For the quality values of different charging stations, the corresponding charging station with better overall effect can be quickly found out, and different charging stations are chargedThe power station is pushed into the vehicle terminal, so that the driving experience of a driver is improved);
by arranging the values YXJ k And the k values are arranged according to numerical values from large to small, the selection unit extracts the first three groups of charging stations through the k values, and the first three groups of charging stations are displayed in a vehicle display screen through a display terminal for an operator to select.
Part of data in the formula is obtained by removing dimension and taking the value to calculate, and the formula is obtained by simulating a large amount of collected data through software and is closest to a real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
The working principle of the invention is as follows: the data acquisition end acquires driving data, operation data and external data, wherein the driving data are transmitted to the loss electric quantity ratio unit, and the loss electric quantity ratio unit processes the driving data to obtain a loss electric quantity ratio mean value; the operation data and the external data are transmitted to a data processing center, the processing center combines the loss electric quantity ratio mean value, the operation data and the external data to obtain a calibrated mileage value which can be driven by the electric automobile, and the calibrated mileage value obtained according to various modes is more accurate and is convenient for a driver to judge;
carry out data acquisition to different charging stations again, acquire the goodness of different charging stations according to the data of difference, will arrange again and transmit to outside man-machine terminal in to the first charging station of order to promote navigating mate's driving and experience, the navigating mate of being convenient for in time finds the effectual charging station of experience.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (6)
1. Electric automobile intelligent charging navigation, its characterized in that includes:
the data acquisition terminal is used for acquiring driving data, operation data and external data and transmitting the acquired data to the processing terminal;
the processing terminal comprises a loss electric quantity ratio unit, a data processing center and a selection unit, the driving data are transmitted to the loss electric quantity ratio unit, and the loss electric quantity ratio unit processes the driving data to obtain a loss electric quantity ratio mean value;
the operation data and the external data are transmitted to a data processing center, and the data processing center carries out merging processing on the loss electric quantity ratio mean value, the operation data and the external data to obtain a calibrated mileage value capable of being driven by the electric automobile;
and the data processing center enables the electric automobile to find the matched charging station in time according to the calibrated mileage value and the data stored in the data terminal of the charging station.
2. The intelligent electric vehicle charging navigation system of claim 1, wherein the driving data includes a traveled distance and a consumed electric quantity, and the step of processing the driving data by the lost electric quantity comparing unit is as follows:
carrying out data recording from the time of initial startup to the time of shutdown of the full electricity of the electric vehicle, marking the recorded traveled distance as LC, and marking the consumed electric quantity as DL;
obtaining a driving electric quantity value SL by using SL-LC multiplied by P1, wherein P1 is a preset guidance factor, and the guidance factor is set by an operator according to the self-setting;
by using
Obtaining a ratio ZB of the lost electricity, wherein ^ is a correction factor, and the value is 0.95632;
pre-storing the first group of loss electric quantity ratio values ZB obtained by processing, and processing and obtaining a second group of loss electric quantity ratio values ZB before the vehicle is started next time until obtaining the three groups of loss electric quantity ratio values ZB;
and carrying out average treatment on the three groups of power loss ratio values ZB to obtain a power loss ratio average value ZBJ.
3. The intelligent electric vehicle charging navigation system according to claim 2, wherein the operation data comprises throttle force corresponding to a time period, and the external data is external wind force;
the data processing center processes the throttle dynamics in different corresponding time periods by the following steps:
dividing 1h into 12 time periods, wherein each time period is 5min, marking the throttle force as YMi, and marking the external wind force as Fi, wherein i represents different time periods;
by using
Obtaining power consumption values HDi in different time periods;
then adopt again
Obtaining the power consumption average value HDJi of 12 time periods, and marking the power consumption average value HDJi as data to be processed;
acquiring the mileage of each time period, and carrying out average processing to obtain the average value LSi of the mileage;
by using
A conversion factor DX is obtained, and the conversion factor DX is stored in the data processing center.
4. The intelligent electric vehicle charging navigation system of claim 3, wherein the data processing center obtains a residual electric quantity value SY of the electric vehicle in real time, and performs mileage update according to the residual electric quantity value SY, wherein the mileage update step is as follows:
obtaining an actual electric quantity value SJD by adopting SJD ═ SY- (SY multiplied by ZB);
then adopt again
And obtaining a calibrated mileage value SJL.
5. The intelligent electric vehicle charging and navigation system according to claim 4, wherein the charging station data terminal stores therein data to be used of the charging station, wherein the data to be used includes charging price, geographical location information and corresponding rating of the charging station.
6. The intelligent charging and navigation system for the electric automobile according to claim 5, wherein the data processing center processes the data to be used, and comprises:
marking the charging price as JG k Acquiring the distance to be traveled according to the geographical position information and the actual position of the electric automobile, and marking the distance to be traveled as LJ k Marking the corresponding charging station goodness as HP k Where k represents a different charging station;
distance to be traveled LJ k Marking as first priority, obtaining LJ-compliant k Charging stations within a distance of travel of < SJL-Y1, where Y1 is a safe distance, the safe distance being drawn up by an operator based on experience;
then through YXJ k ＝JG k ×Q1+LJ k ×Q2+HP k XQ 3 obtaining the alignment YXJ k Wherein Q1, Q2, and Q3 are all fixed conduction factors;
by arranging the values YXJ k And the k values are arranged according to numerical values from large to small, the selection unit extracts the first three groups of charging stations through the k values, and the first three groups of charging stations are displayed in a vehicle display screen through a display terminal for an operator to select.
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| CN113682196A (en) * | 2020-05-19 | 2021-11-23 | 北京新能源汽车股份有限公司 | Method and device for evaluating endurance mileage of electric automobile and automobile |
| CN114347793A (en) * | 2022-01-24 | 2022-04-15 | 摩登汽车有限公司 | Method and system for estimating endurance of automobile |
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2022
- 2022-05-30 CN CN202210597170.7A patent/CN114905986B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003035191A (en) * | 2001-07-25 | 2003-02-07 | Toyota Motor Corp | Control unit of internal combustion engine |
| CN105904981A (en) * | 2016-04-07 | 2016-08-31 | 北京现代汽车有限公司 | Electric car driving mileage estimation control method and device, and vehicle control unit |
| CN113682196A (en) * | 2020-05-19 | 2021-11-23 | 北京新能源汽车股份有限公司 | Method and device for evaluating endurance mileage of electric automobile and automobile |
| CN114347793A (en) * | 2022-01-24 | 2022-04-15 | 摩登汽车有限公司 | Method and system for estimating endurance of automobile |
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