CN108773372A - A kind of adaptive vehicle automatic control system - Google Patents
A kind of adaptive vehicle automatic control system Download PDFInfo
- Publication number
- CN108773372A CN108773372A CN201810539868.7A CN201810539868A CN108773372A CN 108773372 A CN108773372 A CN 108773372A CN 201810539868 A CN201810539868 A CN 201810539868A CN 108773372 A CN108773372 A CN 108773372A
- Authority
- CN
- China
- Prior art keywords
- driver
- driving style
- style
- vehicle
- driving
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000003044 adaptive effect Effects 0.000 title claims abstract description 29
- 238000011217 control strategy Methods 0.000 claims abstract description 13
- 239000000446 fuel Substances 0.000 claims abstract description 12
- 230000035939 shock Effects 0.000 claims description 23
- 238000013508 migration Methods 0.000 claims description 19
- 230000005012 migration Effects 0.000 claims description 19
- 230000001133 acceleration Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 230000001154 acute effect Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
Classifications
-
- 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, or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
-
- 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
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
-
- 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
- B60W2540/00—Input parameters relating to occupants
- B60W2540/30—Driving style
-
- 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
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/05—Type of road
-
- 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
- B60W2554/00—Input parameters relating to objects
Abstract
The present invention provides a kind of adaptive vehicle automatic control systems, subsystem is obtained including traffic information, driving style recognition subsystem, driving strategy generates subsystem and self-adaptive controlled subsystem, the traffic information obtains subsystem for obtaining real-time road condition information, the driving style recognition subsystem is for being identified the driving style of driver, the driving strategy generates subsystem and is used to generate the control strategy to vehicle according to the driving style of driver, the self-adaptive controlled subsystem is used to carry out self adaptive control to vehicle according to real-time road condition information and control strategy；The real-time road condition information includes road congestion information and road evenness information.Beneficial effects of the present invention are：It a kind of adaptive vehicle automatic control system is provided, the self adaptive control of vehicle is realized, is identified and generates corresponding control strategy by the driving style to driver, significant increase user experience reduces Fuel consumption.
Description
Technical field
The present invention relates to automatic control technology fields, and in particular to a kind of adaptive vehicle automatic control system.
Background technology
With the increase of automobile quantity and the development of artificial intelligence, there are many vehicle control systems.In automobilism
During, automobile can be made to show different transport conditions the operation of same road environment driver different-style,
To generate certain influence to the fuel economy of automobile, it is contemplated that influence of the driving style to vehicle fuel economy, because
This carries out the research automatically controlled to vehicle, the more preferably control strategy that can be obtained and consumption on the basis of driving style identifies
The less energy.However same driver behavior can embody different driving styles under different types of traveling road conditions, because
It is just more accurate that the identification of this driving style should carry out on the basis of road conditions identify.
Invention content
In view of the above-mentioned problems, the present invention is intended to provide a kind of adaptive vehicle automatic control system.
The purpose of the present invention is realized using following technical scheme：
A kind of adaptive vehicle automatic control system is provided, including traffic information obtains subsystem, driving style identification
Subsystem, driving strategy generate subsystem and self-adaptive controlled subsystem, and the traffic information obtains subsystem for obtaining reality
When traffic information, the driving style recognition subsystem is for being identified the driving style of driver, the driving strategy
It generates subsystem and is used for generating the control strategy to vehicle, the self-adaptive controlled subsystem according to the driving style of driver
In carrying out self adaptive control to vehicle according to real-time road condition information and control strategy；The real-time road condition information includes congestion in road
Information and road evenness information.
Beneficial effects of the present invention are：A kind of adaptive vehicle automatic control system is provided, the adaptive of vehicle is realized
It should control, be identified and generate corresponding control strategy by the driving style to driver, significant increase user experience,
Reduce Fuel consumption, by being obtained to real-time road condition information, realizes vehicle self adaptive control.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the structural schematic diagram of the present invention；
Reference numeral：
Traffic information obtains subsystem 1, driving style recognition subsystem 2, driving strategy and generates subsystem 3, self-adaptive controlled
Subsystem 4.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of adaptive vehicle automatic control system of the present embodiment, including traffic information acquisition subsystem 1,
Driving style recognition subsystem 2, driving strategy generate subsystem 3 and self-adaptive controlled subsystem 4, and the traffic information obtains son
System 1 is for obtaining real-time road condition information, and the driving style recognition subsystem 2 is for knowing the driving style of driver
, the driving strategy does not generate subsystem 3 and is used to generate control strategy to vehicle according to the driving style of driver, it is described from
Suitable solution subsystem 4 is used to carry out self adaptive control to vehicle according to real-time road condition information and control strategy；The real-time road
Condition information includes road congestion information and road evenness information.
A kind of adaptive vehicle automatic control system is present embodiments provided, the self adaptive control of vehicle is realized, passes through
It is identified and generates corresponding control strategy to the driving style of driver, significant increase user experience reduces vehicle
Fuel consumption realizes vehicle self adaptive control by being obtained to real-time road condition information.
Preferably, the driving style recognition subsystem 2 tentatively judges mould including driving style sort module, driving style
The final determining module of block, driving style, the driving style sort module are extreme for the driving style of driver to be divided into
Type, plain edition peace and type, the preliminary judgment module of driving style is used to primarily determine the driving style of driver, described to drive
Driving style of the final determining module of sailing lattice for finally determining driver.
This preferred embodiment helps to obtain more preferably vehicle control strategy by carrying out Classification and Identification to driving style,
Improve VE Vehicle Economy.
Preferably, the amplitude of the extreme type style driver step on the accelerator and brake pedal is big, speed is fast, automobile
Fuel consumption is high；The amplitude of the plain edition driving style driver step on the accelerator and brake pedal is moderate, vehicle fuel
It consumes moderate；The amplitude of the gentle type driving style driver step on the accelerator and brake pedal is small, speed is slow, vehicle combustion
Oil consumption is low；
This preferred embodiment classifies to driver's driving style according to driver's step on the accelerator and brake pedal,
Meet the driving behavior of driver, can directly, quickly reflect the driving style of driver；
Preferably, the preliminary judgment module of the driving style includes shock extent determining module and preliminary identification module, described
Shock extent determining module is for determining that vehicle impact degree, the preliminary identification module are driven for being primarily determined according to vehicle impact degree
The person's of sailing driving style；
The shock extent determining module is for determining vehicle impact degree, specially：Change speed journey according to pickup
Degree defines vehicle impact degree function：
In formula, C (t) indicates that the shock extent of t moment automobile, a (t) indicate the acceleration of t moment automobile；
When speed occur larger fluctuation when, acceleration centainly also has a greater change, but shock extent only speed in short-term
When interior continuous big ups and downs, larger shock extent is just will produce, this preferred embodiment shock extent determining module passes through definition
Shock extent function can reflect the big ups and downs degree of vehicle, lay the foundation for accurately identifying for follow-up driving style；
Preferably, the preliminary identification module is used to primarily determine driver's driving style according to vehicle impact degree, specifically
For：It determines recognition cycle T, sets the first style threshold value Y1With the second style threshold value Y2IfThen driver drives
Sailing lattice are gentle type, ifThen driver's driving style is plain edition,Then drive
Member's driving style is extreme type, wherein Y1< Y2, the length of T expression recognition cycles, CiIndicate the shock extent at i moment；
The preliminary identification module of this preferred embodiment in a period of time, will can make the shock extent of automobile generate continuous acute variation
Driver behavior be defined as the driving style of extreme type, shock extent changes moderate driver behavior and is defined as medium-sized driving wind
Lattice, and shock extent variation it is smaller when driver behavior be defined as gentle type driving style.
Preferably, the final determining module of the driving style includes migration index determining module and final identification module, institute
Migration index determining module is stated for determining that driver style migration index, the final identification module are used according to vehicle impact degree
In the driving style for finally determining driver according to driver style migration index；
The migration index determining module according to vehicle impact degree for determining driver style migration index, specially：
Driver style migration index is defined using following formula：
In formula, F indicates that driver style migration index, T indicate the length of recognition cycle, CiIndicate the shock extent at moment, D
Indicate the average of the vehicle impact degree absolute value of road conditions classification residing for plain edition driver in recognition cycle, the plain edition
Driver is the driver for being determined as plain edition driving style according to preliminary identification module, and the residing road conditions classification includes city
Center, city suburbs and highway.
The final identification module is used to finally determine the driving style of driver, tool according to driver style migration index
Body is：
Set the first recognition threshold S1With the second recognition threshold S2If F < S1, then driver's driving style is gentle type, if
S1< F < S2, then driver's driving style is plain edition, S2< F, then driver's driving style is extreme type, wherein S1< S2；
If preliminary identification module and final identification module recognition result are different, it is subject to final identification module recognition result.
Although shock extent has reacted the difference of driving style to a certain extent, directly according to shock extent to driving wind
Lattice are identified and unreasonable because identification prediction need to carry out following information according to the information in the past period it is pre-
It surveys, and has much with the relevant physical quantity of shock extent in the past period, this preferred embodiment driving style finally determines mould
Block is identified driver's driving style by defining driver style migration index, whereinIt can reflect that the shock extent situation of change in certain time, D can reflect different driving cycles
Influence to style migration index obtains more accurate driving style recognition result.
Vehicle is controlled using adaptive vehicle automatic control system of the present invention, 5 vehicles is chosen and is tested, point
Not Wei vehicle 1, vehicle 2, vehicle 3, vehicle 4, vehicle 5, Fuel consumption and driver's satisfaction are counted, compared with
Vehicle control system is compared, and generation has the beneficial effect that shown in table：
| Driver's satisfaction improves | Fuel consumption reduces | |
| Vehicle 1 | 29% | 27% |
| Vehicle 2 | 27% | 26% |
| Vehicle 3 | 26% | 26% |
| Vehicle 4 | 25% | 24% |
| Vehicle 5 | 24% | 22% |
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although being explained in detail to the present invention with reference to preferred embodiment, the ordinary skill vehicle of this field is answered
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (9)
1. a kind of adaptive vehicle automatic control system, which is characterized in that obtain subsystem including traffic information, driving style is known
Small pin for the case system, driving strategy generate subsystem and self-adaptive controlled subsystem, and the traffic information obtains subsystem for obtaining
Real-time road condition information, the driving style recognition subsystem is for being identified the driving style of driver, the driving plan
Subsystem is slightly generated to be used for according to the generation of the driving style of driver to the control strategy of vehicle, the self-adaptive controlled subsystem
For carrying out self adaptive control to vehicle according to real-time road condition information and control strategy；The real-time road condition information is gathered around comprising road
Stifled information and road evenness information.
2. adaptive vehicle automatic control system according to claim 1, which is characterized in that driving style identification
System includes driving style sort module, the preliminary judgment module of driving style, the final determining module of driving style, the driving wind
Lattice sort module is used to the driving style of driver being divided into extreme type, plain edition peace and type, the driving style preliminary
Judgment module is used to primarily determine that the driving style of driver, the final determining module of driving style to drive for finally determining
The driving style of member.
3. adaptive vehicle automatic control system according to claim 2, which is characterized in that the extreme type style drives
The amplitude of member's step on the accelerator and brake pedal is big, speed is fast, vehicle fuel consumption is high；The plain edition driving style drives
The amplitude of member's step on the accelerator and brake pedal is moderate, and vehicle fuel consumption is moderate；The gentle type driving style driver
The amplitude of step on the accelerator and brake pedal is small, speed is slow, and vehicle fuel consumption is low.
4. adaptive vehicle automatic control system according to claim 3, which is characterized in that the driving style is tentatively sentenced
Disconnected module includes shock extent determining module and preliminary identification module, and the shock extent determining module is used to determine vehicle impact degree,
The preliminary identification module is used to primarily determine driver's driving style according to vehicle impact degree.
5. adaptive vehicle automatic control system according to claim 4, which is characterized in that the shock extent determining module
For determining vehicle impact degree, specially：Change speed degree according to pickup and defines vehicle impact degree function：
In formula, C (t) indicates that the shock extent of t moment automobile, a (t) indicate the acceleration of t moment automobile.
6. adaptive vehicle automatic control system according to claim 5, which is characterized in that the preliminary identification module is used
In primarily determining driver's driving style according to vehicle impact degree, specially：It determines recognition cycle T, sets the first style threshold value
Y1With the second style threshold value Y2IfThen driver's driving style is gentle type, if
Then driver's driving style is plain edition,Then driver's driving style is extreme type, wherein Y1< Y2, T tables
Show the length of recognition cycle, CiIndicate the shock extent at i moment.
7. adaptive vehicle automatic control system according to claim 6, which is characterized in that the driving style is finally true
Cover half block includes migration index determining module and final identification module, and the migration index determining module is used for according to vehicle impact
Degree determines that driver style migration index, the final identification module are used to drive according to driver style migration index is finally determining
The driving style for the person of sailing.
8. adaptive vehicle automatic control system according to claim 7, which is characterized in that the migration index determines mould
Block according to vehicle impact degree for determining driver style migration index, specially：Driver style identification is defined using following formula
Coefficient：
In formula, F indicates that driver style migration index, T indicate the length of recognition cycle, CiIndicate that the shock extent at i moment, D indicate
The average of the vehicle impact degree absolute value of road conditions classification residing for plain edition driver in recognition cycle, the plain edition drive
Member is the driver for being determined as plain edition driving style according to preliminary identification module, and the residing road conditions classification includes in city
The heart, city suburbs and highway.
9. adaptive vehicle automatic control system according to claim 8, which is characterized in that the final identification module is used
In the driving style for finally determining driver according to driver style migration index, specially：
Set the first recognition threshold S1With the second recognition threshold S2If F < S1, then driver's driving style is gentle type, if S1< F
< S2, then driver's driving style is plain edition, S2< F, then driver's driving style is extreme type, wherein S1< S2；If just
It is different to walk identification module and final identification module recognition result, is subject to final identification module recognition result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810539868.7A CN108773372B (en) | 2018-05-30 | 2018-05-30 | Self-adaptive vehicle automatic control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810539868.7A CN108773372B (en) | 2018-05-30 | 2018-05-30 | Self-adaptive vehicle automatic control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108773372A true CN108773372A (en) | 2018-11-09 |
| CN108773372B CN108773372B (en) | 2020-05-15 |
Family
ID=64027944
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810539868.7A Active CN108773372B (en) | 2018-05-30 | 2018-05-30 | Self-adaptive vehicle automatic control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108773372B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111252075A (en) * | 2020-02-20 | 2020-06-09 | 重庆长安新能源汽车科技有限公司 | Driving severity evaluation system, driving severity evaluation method, storage medium, and vehicle |
| CN112298192A (en) * | 2019-07-31 | 2021-02-02 | 比亚迪股份有限公司 | Vehicle and control strategy generation method and device thereof |
| CN112519788A (en) * | 2019-09-19 | 2021-03-19 | 北京新能源汽车股份有限公司 | Method and device for determining driving style and automobile |
| WO2021244444A1 (en) * | 2020-06-03 | 2021-12-09 | 中国第一汽车股份有限公司 | Control method, apparatus and device, and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101633359A (en) * | 2008-07-24 | 2010-01-27 | 通用汽车环球科技运作公司 | Adaptive vehicle control system with driving style recognition |
| US20120203424A1 (en) * | 2011-02-05 | 2012-08-09 | Ford Global Technologies, Llc | System and method for integrated control of vehicle control systems |
| CN103150677A (en) * | 2013-02-27 | 2013-06-12 | 清华大学 | Aggressive driving state identification method and system |
| CN105246753A (en) * | 2013-05-03 | 2016-01-13 | 雷诺股份公司 | Method for optimising the energy consumption of a hybrid vehicle |
-
2018
- 2018-05-30 CN CN201810539868.7A patent/CN108773372B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101633359A (en) * | 2008-07-24 | 2010-01-27 | 通用汽车环球科技运作公司 | Adaptive vehicle control system with driving style recognition |
| US20120203424A1 (en) * | 2011-02-05 | 2012-08-09 | Ford Global Technologies, Llc | System and method for integrated control of vehicle control systems |
| CN103150677A (en) * | 2013-02-27 | 2013-06-12 | 清华大学 | Aggressive driving state identification method and system |
| CN105246753A (en) * | 2013-05-03 | 2016-01-13 | 雷诺股份公司 | Method for optimising the energy consumption of a hybrid vehicle |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112298192A (en) * | 2019-07-31 | 2021-02-02 | 比亚迪股份有限公司 | Vehicle and control strategy generation method and device thereof |
| CN112519788A (en) * | 2019-09-19 | 2021-03-19 | 北京新能源汽车股份有限公司 | Method and device for determining driving style and automobile |
| CN111252075A (en) * | 2020-02-20 | 2020-06-09 | 重庆长安新能源汽车科技有限公司 | Driving severity evaluation system, driving severity evaluation method, storage medium, and vehicle |
| WO2021244444A1 (en) * | 2020-06-03 | 2021-12-09 | 中国第一汽车股份有限公司 | Control method, apparatus and device, and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108773372B (en) | 2020-05-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108773372A (en) | A kind of adaptive vehicle automatic control system | |
| CN106874597B (en) | highway overtaking behavior decision method applied to automatic driving vehicle | |
| CN107229973B (en) | Method and device for generating strategy network model for automatic vehicle driving | |
| CN107169567B (en) | Method and device for generating decision network model for automatic vehicle driving | |
| CN104484911A (en) | QoE-based customized automatic driving parameter optimal setting method | |
| CN106203735B (en) | A kind of automobile driver driving behavior energy consumption characters measuring method | |
| CN110321954A (en) | The driving style classification and recognition methods of suitable domestic people and system | |
| CN110745136A (en) | Driving self-adaptive control method | |
| CN110091751A (en) | Electric car course continuation mileage prediction technique, equipment and medium based on deep learning | |
| CN107521501A (en) | Driver assistance system decision-making technique, system based on game theory and other | |
| CN110194041B (en) | Self-adaptive vehicle body height adjusting method based on multi-source information fusion | |
| CN106249619A (en) | One is based on LabVIEW Matlab driver style identification and feedback system and method | |
| CN111267830A (en) | Hybrid power bus energy management method, device and storage medium | |
| CN112158189A (en) | Hybrid electric vehicle energy management method based on machine vision and deep learning | |
| CN110196587A (en) | Vehicular automatic driving control strategy model generating method, device, equipment and medium | |
| CN108491859A (en) | The recognition methods of driving behavior heterogeneity feature based on automatic coding machine | |
| CN112026744B (en) | Series-parallel hybrid power system energy management method based on DQN variants | |
| CN110182217A (en) | A kind of traveling task complexity quantitative estimation method towards complicated scene of overtaking other vehicles | |
| DE102021128503A1 (en) | METHODS AND SYSTEMS FOR AN ADAPTIVE STOP-START INHIBITOR | |
| CN106960189A (en) | A kind of driving intention decision method based on hidden Markov model | |
| CN115186594A (en) | Energy-saving speed optimization method under influence of man-vehicle-road coupling | |
| CN113581188A (en) | Commercial vehicle driver driving style identification method based on Internet of vehicles data | |
| CN108791300A (en) | A kind of control loop that intelligence degree is high | |
| CN108734962A (en) | A kind of intelligent traffic information management system | |
| CN114074660A (en) | Predictive cruise fuel-saving control method and device and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200410 Address after: 225000, Jiangsu City, Yangzhou province Yizheng Chen town industrial concentration area Applicant after: JIANGSU WEIHANG AUTOMOBILE COMMUNICATION TECHNOLOGY Co.,Ltd. Address before: 518000 F1, 3rd Floor of Jinhui Ball Building, No. 5 Langshan Second Road, Xili Street, Nanshan District, Shenzhen City, Guangdong Province Applicant before: SHENZHEN YIXIN INTELLIGENT TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: An adaptive vehicle automatic control system Effective date of registration: 20221208 Granted publication date: 20200515 Pledgee: Jiangsu Yizheng Rural Commercial Bank Co.,Ltd. Chenji Sub branch Pledgor: JIANGSU WEIHANG AUTOMOBILE COMMUNICATION TECHNOLOGY Co.,Ltd. Registration number: Y2022980026074 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20231226 Address after: 225000 Industrial Concentration Zone of Chenji Town, Yizheng City, Yangzhou City, Jiangsu Province Patentee after: Yangzhou Lainuo Automobile Technology Co.,Ltd. Address before: 225000 Industrial Concentration Zone of Chenji Town, Yizheng City, Yangzhou City, Jiangsu Province Patentee before: JIANGSU WEIHANG AUTOMOBILE COMMUNICATION TECHNOLOGY Co.,Ltd. |
|
| TR01 | Transfer of patent right |