CN112622936A - Intelligent steering method for electric automobile - Google Patents
Intelligent steering method for electric automobile Download PDFInfo
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- CN112622936A CN112622936A CN202011628361.2A CN202011628361A CN112622936A CN 112622936 A CN112622936 A CN 112622936A CN 202011628361 A CN202011628361 A CN 202011628361A CN 112622936 A CN112622936 A CN 112622936A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000004891 communication Methods 0.000 claims description 9
- 238000005516 engineering process Methods 0.000 abstract description 7
- 238000011161 development Methods 0.000 abstract description 3
- 230000006399 behavior Effects 0.000 description 34
- 238000009825 accumulation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/18—Propelling the vehicle
- B60W30/18009—Propelling the vehicle related to particular drive situations
- B60W30/18145—Cornering
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/082—Selecting or switching between different modes of propelling
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/005—Handover processes
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0019—Control system elements or transfer functions
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Navigation (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses an intelligent steering method for an electric automobile, which comprises the following steps: step one, establishing an automatic driving database; step two, when the electric automobile turns to the direction when driving, acquiring the current driving state data information of the electric automobile in the current turning scene, comparing the current driving state data information with the driving behavior data information prestored in the automatic driving database, finding out the prestored driving behavior data information closest to the current driving state data information, simultaneously determining the corresponding driving behavior data information, and automatically driving the electric automobile in the current turning scene according to the driving behavior data information; and step three, a grip sensor is arranged on the steering wheel, and when the electric automobile is in an automatic driving state and the grip of the grip sensor is detected to be larger than a preset grip threshold value, a manual driving state is switched in. The invention promotes the steering safety of the electric automobile, avoids the occurrence of safety accidents and promotes the development of the automatic driving technology.
Description
Technical Field
The invention belongs to the technical field of electric automobiles, and relates to an intelligent steering method 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, and meets various requirements of road traffic and safety regulations. The electric automobile uses the vehicle-mounted power supply as power, has small influence on the environment compared with the traditional automobile, and has very good application prospect. The unmanned driving technology is an automobile driving technology which senses the surrounding road environment through a vehicle-mounted sensing system, automatically plans a driving route and controls a vehicle to reach a preset target, and has wide application prospect in the fields of national defense and national economy. At present, the unmanned technology cannot be widely applied to electric automobiles, and particularly, when the electric automobiles are steered, because the situation is complex, how to better utilize the unmanned technology to help the intelligent steering of the electric automobiles is a technical problem which is being explored at present.
Disclosure of Invention
An object of the present invention is to solve at least the above problems and/or disadvantages and to provide at least the advantages described hereinafter.
It is still another object of the present invention to provide an intelligent steering method for an electric vehicle.
Therefore, the technical scheme provided by the invention is as follows:
the intelligent steering method for the electric automobile comprises the following steps:
step one, establishing an automatic driving database: acquiring driving behavior data information of the electric automobile in a plurality of electric automobile steering scenes in the driving state data information of the electric automobile and the corresponding form state data of manual driving on the electric automobile, establishing a corresponding relation between the driving behavior data information and the driving state data information of the electric automobile, and storing the corresponding relation into an automatic driving database, wherein the driving state data information of the electric automobile comprises the steering scenes;
step two, when the electric automobile turns to when driving, acquiring current driving state data information of the electric automobile in a current turning scene, comparing the current driving state data information with driving state data information prestored in the automatic driving database, finding out prestored driving state data information closest to the current driving state data information, determining driving behavior data information of the electric automobile corresponding to the found closest prestored driving state data information, and automatically driving the electric automobile in the current turning scene according to the driving state data information;
step three, a grip sensor is arranged on a steering wheel of the electric automobile, and when the electric automobile is in an automatic driving state and the grip of the grip sensor is detected to be larger than a preset grip threshold value, a manual driving state is switched in;
the grip sensor comprises a cylindrical outer sleeve, a pressure sensor sheet and a microprocessor, wherein the cylindrical outer sleeve is sealed on the steering wheel and sleeved on the steering wheel, the pressure sensor sheet is attached to the shape of the steering wheel and arranged in the cylindrical outer sleeve, the microprocessor is in communication connection with the pressure sensor sheet, and the pressure sensor sheet detects pressure change of a sealed space of the cylindrical outer sleeve when a user grips the steering wheel;
and meanwhile, continuously acquiring the driving state data information of the electric automobile in the steering scene and the driving behavior data information of the electric automobile by manual driving, establishing a corresponding relation between the new driving behavior data information and the driving state data information of the electric automobile, and storing the new driving behavior data information and the driving state data information of the electric automobile into the automatic driving database.
Preferably, in the intelligent steering method for the electric vehicle, the electric vehicle is provided with a control center, an inertial navigation system and a GPS positioning system, and the control center is in communication connection with the inertial navigation system, the GPS positioning system and the microprocessor respectively.
Preferably, in the intelligent steering method for the electric vehicle, the steering scene includes a road name, a steering time period and a surrounding vehicle environment, the steering time period is calculated by a time period counted in 24 hours, and each steering time period is 10 minutes to 30 minutes.
Preferably, in the intelligent steering method for an electric vehicle, the steering scene is stored in the form of a plurality of continuously shot images and is sorted by shooting time.
Preferably, in the intelligent steering method for the electric vehicle, in the second step, when the current driving state data information of the electric vehicle is compared with the driving behavior data information prestored in the automatic driving database, the steering time period, the road name and the surrounding vehicle environment of the electric vehicle are sequentially compared.
Preferably, the intelligent steering method for the electric vehicle further includes the following steps: the electric automobile is internally provided with a display screen, and the display screen allows a user to modify the driving behavior data information.
Preferably, in the intelligent steering method for the electric vehicle, the preset grip strength threshold is 10-30 Kg.
The invention at least obtains the following beneficial effects:
the electric automobile deeply learns the driving behavior data information of the user and stores the driving behavior data information into the automatic driving database, and the electric automobile moves by adopting the prestored driving behavior data information when meeting the same road condition scene in the future, so that the accuracy and the safety of automatic driving are ensured. Meanwhile, when the vehicle is driven automatically, if a new steering scene changes, the change of the grip strength monitored by the grip strength sensor is quickly switched into a manual driving state, and the vehicle is driven manually, so that the problems that the switching between the automatic driving state and the manual driving state is too slow and the safety is influenced are solved. In addition, the electric automobile of the invention establishes an automatic driving database of personal driving behavior data information for users through continuous accumulation learning, and steering is safer and more reliable during automatic driving along with the increase of accumulated data. Moreover, the grip strength sensor acquires grip strength data by sensing the change of air pressure in the cylindrical outer sleeve, is rapid, reliable and knowledgeable, is slightly influenced by the outside, greatly improves the efficiency of switching the automatic driving state and the manual driving state by taking the grip strength sensor as a switching signal, can almost realize instant switching, promotes the steering safety of the electric automobile, avoids the occurrence of safety accidents and promotes the development of the automatic driving technology.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Detailed Description
The present invention is further described in detail below with reference to examples so that those skilled in the art can practice the invention with reference to the description.
It will be understood that terms such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
The invention provides an intelligent steering method for an electric automobile, which comprises the following steps:
step one, establishing an automatic driving database: acquiring driving behavior data information of the electric automobile in a plurality of electric automobile steering scenes in the driving state data information of the electric automobile and the corresponding form state data of manual driving on the electric automobile, establishing a corresponding relation between the driving behavior data information and the driving state data information of the electric automobile, and storing the corresponding relation into an automatic driving database, wherein the driving state data information of the electric automobile comprises the steering scenes;
step two, when the electric automobile turns to when driving, acquiring current driving state data information of the electric automobile in a current turning scene, comparing the current driving state data information with driving state data information prestored in the automatic driving database, finding out prestored driving state data information closest to the current driving state data information, determining driving behavior data information of the electric automobile corresponding to the found closest prestored driving state data information, and automatically driving the electric automobile in the current turning scene according to the driving state data information;
step three, a grip sensor is arranged on a steering wheel of the electric automobile, and when the electric automobile is in an automatic driving state and the grip of the grip sensor is detected to be larger than a preset grip threshold value, a manual driving state is switched in;
the grip sensor comprises a cylindrical outer sleeve, a pressure sensor sheet and a microprocessor, wherein the cylindrical outer sleeve is sealed on the steering wheel and sleeved on the steering wheel, the pressure sensor sheet is attached to the shape of the steering wheel and arranged in the cylindrical outer sleeve, the microprocessor is in communication connection with the pressure sensor sheet, and the pressure sensor sheet detects pressure change of a sealed space of the cylindrical outer sleeve when a user grips the steering wheel;
and meanwhile, continuously acquiring the driving state data information of the electric automobile in the steering scene and the driving behavior data information of the electric automobile by manual driving, establishing a corresponding relation between the new driving behavior data information and the driving state data information of the electric automobile, and storing the new driving behavior data information and the driving state data information of the electric automobile into the automatic driving database.
The electric automobile deeply learns the driving behavior data information of the user and stores the driving behavior data information into the automatic driving database, and the electric automobile moves by adopting the prestored driving behavior data information when meeting the same road condition scene in the future, so that the accuracy and the safety of automatic driving are ensured. Meanwhile, when the vehicle is driven automatically, if a new steering scene changes, the change of the grip strength monitored by the grip strength sensor is quickly switched into a manual driving state, and the vehicle is driven manually, so that the problems that the switching between the automatic driving state and the manual driving state is too slow and the safety is influenced are solved. In addition, the electric automobile of the invention establishes an automatic driving database of personal driving behavior data information for users through continuous accumulation learning, and steering is safer and more reliable during automatic driving along with the increase of accumulated data. Moreover, the grip strength sensor acquires grip strength data by sensing the change of air pressure in the cylindrical outer sleeve, is rapid, reliable and knowledgeable, is slightly influenced by the outside, greatly improves the efficiency of switching the automatic driving state and the manual driving state by taking the grip strength sensor as a switching signal, can almost realize instant switching, promotes the steering safety of the electric automobile, avoids the occurrence of safety accidents and promotes the development of the automatic driving technology.
In one embodiment of the invention, preferably, the electric vehicle is provided with a control center, an inertial navigation system and a GPS positioning system, and the control center is in communication connection with the inertial navigation system, the GPS positioning system and the microprocessor respectively. The inertial navigation system can acquire or be connected to a road network system to obtain road information, and the GPS positioning system can acquire steering scene information of the electric automobile. Through the communication control of the control center, the grip strength data information, the scene information, the road information and the like are integrated, so that the driving state can be switched and managed conveniently.
In one embodiment of the present invention, the turning scene preferably includes a road name, a turning period calculated as a period counted in 24 hours, and a surrounding vehicle environment, and each turning period is 10 minutes to 30 minutes. For part of users, the turning scenes and the tracks of the driving states of the users in each week are possibly the same, so that the users can set or the electric vehicles can acquire behavior data of the users through deep learning, and whether the users drive on the roads which are driven before is acquired according to the turning scenes, the driving state data and the like in the same time period in a certain period, and automatic driving can be better performed.
In one of the embodiments of the present invention, it is preferable that the turning scenes are stored in the form of a plurality of consecutively photographed images and sorted by photographing time. Facilitating the comparison.
In one embodiment of the present invention, preferably, in the second step, when the current driving state data information of the electric vehicle is compared with the driving behavior data information prestored in the automatic driving database, the steering time period, the road name and the surrounding vehicle environment of the electric vehicle are sequentially compared. The steering time period can compare the driving state data information of the user in the same time period and different periods of the previous stored data, so that the habit of the user can be conveniently learned, the comparison efficiency can be conveniently improved, and the automatic driving can be rapidly and accurately carried out.
In one embodiment of the present invention, it is preferable that the method further includes the following steps: the electric automobile is internally provided with a display screen, and the display screen allows a user to modify the driving behavior data information.
In one embodiment of the invention, the preset grip threshold value is preferably 10 to 30 Kg. The user can set the size of the grip strength threshold according to the actual situation. The electric vehicle is convenient to drive manually at any time by setting a smaller force.
In order to make the technical solution of the present invention better understood by those skilled in the art, the following examples are now provided for illustration:
the intelligent steering method for the electric automobile comprises the following steps:
step one, establishing an automatic driving database: acquiring driving behavior data information of the electric automobile in a plurality of electric automobile steering scenes in the driving state data information of the electric automobile and the corresponding form state data of manual driving on the electric automobile, establishing a corresponding relation between the driving behavior data information and the driving state data information of the electric automobile, and storing the corresponding relation into an automatic driving database, wherein the driving state data information of the electric automobile comprises the steering scenes; the electric automobile is provided with a control center, an inertial navigation system and a GPS positioning system, wherein the control center is in communication connection with the inertial navigation system, the GPS positioning system and the microprocessor respectively. The turning scene comprises road names, turning time periods and surrounding vehicle environments, the turning time periods are calculated by time periods counted in 24 hours, and each turning time period is 10-30 minutes. The turning scenes are stored in the form of a plurality of consecutively taken images and are ordered by taking time.
Step two, when the electric automobile turns to when driving, acquiring current driving state data information of the electric automobile in a current turning scene, comparing the current driving state data information with driving state data information prestored in the automatic driving database, finding out prestored driving state data information closest to the current driving state data information, determining driving behavior data information of the electric automobile corresponding to the found closest prestored driving state data information, and automatically driving the electric automobile in the current turning scene according to the driving state data information; and when the current driving state data information of the electric automobile is compared with the driving behavior data information prestored in the automatic driving database, sequentially comparing the steering time period, the road name and the surrounding vehicle environment of the electric automobile and the driving behavior data information.
Step three, a grip sensor is arranged on a steering wheel of the electric automobile, and when the electric automobile is in an automatic driving state and the grip of the grip sensor is detected to be greater than a preset grip threshold value of 10Kg, a manual driving state is switched in;
the grip sensor comprises a cylindrical outer sleeve, a pressure sensor sheet and a microprocessor, wherein the cylindrical outer sleeve is sealed on the steering wheel and sleeved on the steering wheel, the pressure sensor sheet is attached to the shape of the steering wheel and arranged in the cylindrical outer sleeve, the microprocessor is in communication connection with the pressure sensor sheet, and the pressure sensor sheet detects pressure change of a sealed space of the cylindrical outer sleeve when a user grips the steering wheel;
and meanwhile, continuously acquiring the driving state data information of the electric automobile in the steering scene and the driving behavior data information of the electric automobile by manual driving, establishing a corresponding relation between the new driving behavior data information and the driving state data information of the electric automobile, and storing the new driving behavior data information and the driving state data information of the electric automobile into the automatic driving database.
The electric automobile is internally provided with a display screen, and the display screen allows a user to modify the driving behavior data information.
The number of modules and the processing scale described herein are intended to simplify the description of the invention. Applications, modifications and variations of the intelligent steering method for an electric vehicle of the present invention will be apparent to those skilled in the art.
While embodiments of the invention have been disclosed above, it is not limited to the applications listed in the description and the embodiments, which are fully applicable in all kinds of fields of application of the invention, and further modifications may readily be effected by those skilled in the art, so that the invention is not limited to the specific details without departing from the general concept defined by the claims and the scope of equivalents.
Claims (7)
1. The intelligent steering method for the electric automobile is characterized by comprising the following steps of:
step one, establishing an automatic driving database: acquiring driving behavior data information of the electric automobile in a plurality of electric automobile steering scenes in the driving state data information of the electric automobile and the corresponding form state data of manual driving on the electric automobile, establishing a corresponding relation between the driving behavior data information and the driving state data information of the electric automobile, and storing the corresponding relation into an automatic driving database, wherein the driving state data information of the electric automobile comprises the steering scenes;
step two, when the electric automobile turns to when driving, acquiring current driving state data information of the electric automobile in a current turning scene, comparing the current driving state data information with driving state data information prestored in the automatic driving database, finding out prestored driving state data information closest to the current driving state data information, determining driving behavior data information of the electric automobile corresponding to the found closest prestored driving state data information, and automatically driving the electric automobile in the current turning scene according to the driving state data information;
step three, a grip sensor is arranged on a steering wheel of the electric automobile, and when the electric automobile is in an automatic driving state and the grip of the grip sensor is detected to be larger than a preset grip threshold value, a manual driving state is switched in;
the grip sensor comprises a cylindrical outer sleeve, a pressure sensor sheet and a microprocessor, wherein the cylindrical outer sleeve is sealed on the steering wheel and sleeved on the steering wheel, the pressure sensor sheet is attached to the shape of the steering wheel and arranged in the cylindrical outer sleeve, the microprocessor is in communication connection with the pressure sensor sheet, and the pressure sensor sheet detects pressure change of a sealed space of the cylindrical outer sleeve when a user grips the steering wheel;
and meanwhile, continuously acquiring the driving state data information of the electric automobile in the steering scene and the driving behavior data information of the electric automobile by manual driving, establishing a corresponding relation between the new driving behavior data information and the driving state data information of the electric automobile, and storing the new driving behavior data information and the driving state data information of the electric automobile into the automatic driving database.
2. The intelligent steering method for the electric vehicle as claimed in claim 1, wherein the electric vehicle is provided with a control center, an inertial navigation system and a GPS positioning system, and the control center is in communication connection with the inertial navigation system, the GPS positioning system and the microprocessor respectively.
3. The intelligent steering method for the electric vehicle according to claim 1, wherein the steering scene includes a road name, a steering period calculated as a period timed at 24 hours, and a surrounding vehicle environment, and each of the steering periods is 10 minutes to 30 minutes.
4. The intelligent steering method for an electric vehicle according to claim 1, wherein the steering scene is stored in the form of a plurality of consecutively photographed images and sorted by photographing time.
5. The intelligent steering method for the electric vehicle according to claim 4, wherein in the second step, when the current driving state data information of the electric vehicle is compared with the driving behavior data information prestored in the automatic driving database, the steering time period, the road name and the surrounding vehicle environment of the electric vehicle are sequentially compared.
6. The intelligent steering method for an electric vehicle according to claim 1, further comprising the steps of: the electric automobile is internally provided with a display screen, and the display screen allows a user to modify the driving behavior data information.
7. The intelligent steering method for the electric vehicle according to claim 1, wherein the preset grip threshold value is 10-30 Kg.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011628361.2A CN112622936B (en) | 2020-12-30 | 2020-12-30 | Intelligent steering method for electric automobile |
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| CN202011628361.2A CN112622936B (en) | 2020-12-30 | 2020-12-30 | Intelligent steering method for electric automobile |
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| CN112622936A true CN112622936A (en) | 2021-04-09 |
| CN112622936B CN112622936B (en) | 2022-04-08 |
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2020
- 2020-12-30 CN CN202011628361.2A patent/CN112622936B/en active Active
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| US20160114798A1 (en) * | 2014-10-27 | 2016-04-28 | Hyundai Motor Company | Driver assistance apparatus and method for operating the same |
| CN106184223A (en) * | 2016-09-28 | 2016-12-07 | 北京新能源汽车股份有限公司 | A kind of automatic Pilot control method, device and automobile |
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| CN112622936B (en) | 2022-04-08 |
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