CN205554180U - Self -adaptation driver assistance system - Google Patents
Self -adaptation driver assistance system Download PDFInfo
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- CN205554180U CN205554180U CN201620120480.XU CN201620120480U CN205554180U CN 205554180 U CN205554180 U CN 205554180U CN 201620120480 U CN201620120480 U CN 201620120480U CN 205554180 U CN205554180 U CN 205554180U
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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
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Abstract
The utility model relates to a self -adaptation driver assistance system, it includes data acquisition module, database module, behavior feature processing module, adaptive optimization module and display screen, wherein, data acquisition module is used for gathering highway condition information, database module is used for saving highway condition information, and it is still saved in order to obtain the vehicle parameter signal with vehicle control unit communication connection, behavior feature processing module can draw vehicle parameter signal and highway condition information to operation behaviors to the driver draws, analysis and matching, output operating mode information, the operating mode screening is carried out to the data that adaptive optimization pair of module behavior feature processing module handled after the analysis, confirms optimum speed of a motor vehicle signal and target gear signal, the display screen is installed in the driver's cabin and is used for showing the optimum speed of a motor vehicle and the target gear. The utility model discloses combine vehicle parameter information and road information, reach the best speed of a motor vehicle signal and gear signal to remind the driver to give up bad driving habits, guarantee vehicle economy and travel, make whole car more fuel -efficient.
Description
Technical field
This utility model relates to assisting driving technology field, a kind of self adaptation DAS (Driver Assistant System).
Background technology
Application No. 201410695653.6, entitled " a kind of driving behavior Adaptable System and driving behavior adaptive approach " national inventing patent application in disclose a kind of driving behavior Adaptable System, this system passes through collection vehicle ambient conditions, the driving behavior of driver is analyzed by driving condition signal and the ambient conditions of vehicle according to vehicle, set up the driving behavior model of driver, and by the driving behavior Model Transfer of foundation to Driving control module, it is achieved car steering behavior is automatically controlled.
In technique scheme, sensor is many and complicated, and cost is high, and meanwhile, a large amount of use sensors make hardware failure or fault rate increase, and cause system stability poor.Meanwhile, technique scheme lays particular emphasis on driver comfort and safety, is not suitable for commercial car field, and this technical scheme lays particular emphasis on the true driving habits of automatic learner driver, and a lot of driving habitses of driver are bad steering custom, are unfavorable for vehicle oil saving.
Utility model content
The technical problems to be solved in the utility model is to provide a kind of self adaptation DAS (Driver Assistant System), this system combines vehicle parameter information and road information, draws optimal GES and gear signal, thus reminds driver to give up bad steering custom, ensure vehicle economy run so that car load is more fuel-efficient.
For solving above-mentioned technical problem, being structurally characterized in that of self adaptation DAS (Driver Assistant System) of the present utility model includes data acquisition module, DBM, behavior characteristics processing module, adaptive optimization module and display screen.Wherein, data acquisition module is connected with vehicle OBD interface, is used for gathering traffic information；DBM is used for storing traffic information, and it is also connected with OBD interface and passes through CAN with entire car controller communication connection to store after obtaining vehicle parameter signal；Behavior characteristics processing module can extract vehicle parameter signal and traffic information, and the operation behavior of driver is extracted, analyzes and mated, and exports work information；Adaptive optimization module carries out operating mode screening to the data after behavior characteristics processing module Treatment Analysis, determines optimum GES and target gear signal；In display screen is arranged on driver's cabin and for showing optimum speed and target gear.
Described data acquisition module includes Slope Transducer and electronic chart.
Described vehicle parameter signal includes accelerator opening amount signal, brake signal, engine torque signal, engine rotational speed signal, distributive value signal, GES and gear signal.
Connecting on described DBM and have wireless communication module, wireless communication module communicates to connect with centralized control center.
The technical solution of the utility model proposes mainly for commercial car, its operation principle is: vehicle travels when certain route first, system is with electronic chart road conditions for instructing, complete the traveling to this circuit, and, system is according to traffic information corresponding to the car load travel route of data collecting module collected, complete the storage to current traffic information, and the correction to electronic chart road conditions, and by Slope Transducer signal, accelerator opening amount signal, brake signal, engine torque, engine speed, distributive value, GES and gear signal complete process and the analysis operated driver for different road conditions, extract the starting curve set of optimum, acceleration curve set and deceleration curve set；When car load travels again on this route, system can history traffic information based on car load present position, accumulative minimum principle is consumed with the fuel oil in the certain mileage in front, most optimal gear and speed is recommended to driver, the operation complete the most economical starting of car load, accelerating and braking, output result shows that, in display screen interface, display frequency can be demarcated, thus constantly instructs driver to carry out the driving of optimum.During special circumstances, if driver overtakes other vehicles or anxious acceleration, it is output as excellent with car load power.If front is for going up a slope, be then given and optimal rush slope speed and gear；If front is descending, then determine optimal braking time based on road ahead operating mode, prevent from braking and excessively cause unnecessary secondary to accelerate；If front is bend, provide the prompting of safe driving speed, reduce the generation with Accident prevention.
The beneficial effects of the utility model are: 1) this utility model provides road information by electronic chart and Slope Transducer for system, and can remind driver when curve ahead, provide safe speed, it is possible to reduce the generation with Accident prevention；2) this utility model uses less sensor can complete the storage to road information and identification, and by adaptation module for history traffic information, accumulative minimum principle is consumed with the fuel oil in the certain mileage in front, most optimal gear and speed is recommended, the operation complete car load starting, accelerating and braking to driver；Particularly, if the most cost-effective, omit electronic chart, it is possible to complete the storage to history traffic information by one or many driving process, form road information thesaurus.
Accompanying drawing explanation
With detailed description of the invention, this utility model is described in further detail below in conjunction with the accompanying drawings:
Fig. 1 is overall structure schematic block diagram of the present utility model；
Fig. 2 is the schematic block diagram of adaptive optimization module in this utility model.
Detailed description of the invention
Referring to the drawings, self adaptation DAS (Driver Assistant System) of the present utility model includes data acquisition module 1, DBM 2, behavior characteristics processing module 4, adaptive optimization module 5 and display screen 6.Wherein, data acquisition module 1 is connected with vehicle OBD interface, is used for gathering traffic information, and the road condition acquiring in this utility model uses Slope Transducer and electronic chart.DBM 2 is used for storing above-mentioned traffic information, it is also connected with OBD interface and passes through to store after CAN communicates to connect to obtain vehicle parameter signal with entire car controller 3, and vehicle parameter signal includes accelerator opening amount signal, brake signal, engine torque signal, engine rotational speed signal, distributive value signal, GES and gear signal.Behavior characteristics processing module 4 extracts vehicle parameter signal and traffic information, and the operation behavior and road condition feature to driver carries out classification and extract.Data after behavior characteristics processing module 4 Treatment Analysis are screened by adaptive optimization module 5, draw optimum GES and target gear signal.In display screen 6 is arranged on driver's cabin and for showing optimum speed and target gear.
Referring to the drawings, DBM connecting and has wireless communication module 21, wireless communication module 21 communicates to connect with centralized control center.Wireless communication module 21 can use GPRS network, 3G or 4G network.This utility model uses 3G network, i.e. wireless communication module 21 to be integrated GPS locating module in 3G network communication module and this 3G network communication module., use at present the most stable 3G network communication, it is ensured that speed that data are uploaded and stability, vehicle can be positioned by GPS locating module.Data in data base can be uploaded by wireless communication module, to facilitate other vehicle to directly invoke.
Core of the present utility model is adaptive optimization module 5, as shown in Figure 2, driving intention is identified by it by obtaining accelerator opening amount signal, brake signal, engine rotational speed signal, GES and gear signal, it obtains traffic information and current hill grade information by electronic chart and Slope Transducer, and engine torque and distributive value are controlled respectively by it by obtaining engine torque signal and distributive value signal.
Operation principle of the present utility model is: vehicle travels when certain route first, system is with electronic chart road conditions for instructing, complete the traveling to this circuit, and, system is according to traffic information corresponding to the car load travel route of data collecting module collected, complete the storage to current traffic information, and the correction to electronic chart road conditions, and by Slope Transducer signal, accelerator opening amount signal, brake signal, engine torque, engine speed, distributive value, GES and gear signal complete process and the analysis operated driver for different road conditions, extract the starting curve set of optimum, acceleration curve set and deceleration curve set；When car load travels again on this route, system can history traffic information based on car load present position, accumulative minimum principle is consumed with the fuel oil in the certain mileage in front, most optimal gear and speed is recommended to driver, the operation complete the most economical starting of car load, accelerating and braking, output result shows that, in display screen interface, display frequency can be demarcated, thus constantly instructs driver to carry out the driving of optimum.During special circumstances, if driver overtakes other vehicles or anxious acceleration, it is output as excellent with car load power.If front is for going up a slope, be then given and optimal rush slope speed and gear；If front is descending, then determine optimal braking time based on road ahead operating mode, prevent from braking and excessively cause unnecessary secondary to accelerate；If front is bend, provide the prompting of safe driving speed, reduce the generation with Accident prevention.
In sum, this utility model is not limited to above-mentioned detailed description of the invention.Those skilled in the art, on the premise of without departing from spirit and scope of the present utility model, can do some changes and modification.Protection domain of the present utility model should be as the criterion with claim of the present utility model.
Claims (5)
1. a self adaptation DAS (Driver Assistant System), is characterized in that including:
Data acquisition module (1), it is connected with vehicle OBD interface, is used for gathering traffic information；
DBM (2), it is used for storing above-mentioned traffic information, and it is also connected with OBD interface and passes through CAN with entire car controller (3) communication connection to store after obtaining vehicle parameter signal；
Behavior characteristics processing module (4), it extracts vehicle parameter signal and traffic information, and the operation behavior and road condition feature to driver carries out classification and extract；
Adaptive optimization module (5), the data after behavior characteristics processing module (4) Treatment Analysis are screened by it, draw optimum GES and target gear signal；
Display screen (6), in it is arranged on driver's cabin and for showing optimum speed and target gear.
2. self adaptation DAS (Driver Assistant System) as claimed in claim 1, is characterized in that described data acquisition module (1) includes Slope Transducer and electronic chart.
3. self adaptation DAS (Driver Assistant System) as claimed in claim 1, is characterized in that described vehicle parameter signal includes accelerator opening amount signal, brake signal, engine torque signal, engine rotational speed signal, distributive value signal, GES and gear signal.
4. self adaptation DAS (Driver Assistant System) as claimed in claim 1, is characterized in that the upper connection of described DBM (2) has wireless communication module (21), wireless communication module (21) to communicate to connect with centralized control center (7).
5. self adaptation DAS (Driver Assistant System) as claimed in claim 4, is characterized in that described wireless communication module (21) is integrated GPS locating module in 3G network communication module and this 3G network communication module.
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| CN201620120480.XU CN205554180U (en) | 2016-02-15 | 2016-02-15 | Self -adaptation driver assistance system |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106184223A (en) * | 2016-09-28 | 2016-12-07 | 北京新能源汽车股份有限公司 | Automatic driving control method and device and automobile |
| CN106406315A (en) * | 2016-11-01 | 2017-02-15 | 河池学院 | Intelligent robot with auxiliary driving function |
| CN106952530A (en) * | 2017-04-24 | 2017-07-14 | 深圳市智慧车联科技有限公司 | A kind of device and vehicle of long-range monitoring driving efficiency |
| CN106980313A (en) * | 2017-05-11 | 2017-07-25 | 河北工业大学 | A kind of car steering method optimizing system and optimization method |
| CN107861500A (en) * | 2017-12-29 | 2018-03-30 | 河南科技大学 | A kind of pure electric automobile intelligent network connection IVCU control systems and control method |
| CN110027546A (en) * | 2019-04-28 | 2019-07-19 | 杭州鸿泉物联网技术股份有限公司 | A kind of method and device optimizing driving behavior |
| CN111323032A (en) * | 2018-12-14 | 2020-06-23 | 现代自动车株式会社 | System and method for providing optimum fuel efficiency driving mode, and recording medium |
| CN112000112A (en) * | 2019-05-10 | 2020-11-27 | 现代自动车株式会社 | System and method for supporting automatic driving vehicle |
| CN112109722A (en) * | 2020-09-28 | 2020-12-22 | 安徽江淮汽车集团股份有限公司 | Intelligent driving auxiliary control method and system |
| CN113246999A (en) * | 2021-04-30 | 2021-08-13 | 中寰卫星导航通信有限公司 | Driving behavior analysis method and device and readable storage medium |
| CN114074673A (en) * | 2020-08-19 | 2022-02-22 | 威马智慧出行科技（上海）有限公司 | Control method and device for self-adaptive driving mode |
| CN114148339A (en) * | 2022-01-17 | 2022-03-08 | 潍柴动力股份有限公司 | Bad driving early warning method and device |
| CN115476857A (en) * | 2022-08-26 | 2022-12-16 | 桂林电子科技大学 | Method and device for controlling gear shifting based on natural driving data |
| CN115837918A (en) * | 2022-12-20 | 2023-03-24 | 瑞修得信息科技(无锡)有限公司 | Safe oil consumption reduction method and system based on scientific uphill and downhill driving guidance of commercial vehicle |
-
2016
- 2016-02-15 CN CN201620120480.XU patent/CN205554180U/en active Active
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106184223A (en) * | 2016-09-28 | 2016-12-07 | 北京新能源汽车股份有限公司 | Automatic driving control method and device and automobile |
| CN106406315A (en) * | 2016-11-01 | 2017-02-15 | 河池学院 | Intelligent robot with auxiliary driving function |
| CN106952530A (en) * | 2017-04-24 | 2017-07-14 | 深圳市智慧车联科技有限公司 | A kind of device and vehicle of long-range monitoring driving efficiency |
| CN106980313A (en) * | 2017-05-11 | 2017-07-25 | 河北工业大学 | A kind of car steering method optimizing system and optimization method |
| CN106980313B (en) * | 2017-05-11 | 2023-09-22 | 河北工业大学 | Automobile driving mode optimizing system and optimizing method |
| CN107861500A (en) * | 2017-12-29 | 2018-03-30 | 河南科技大学 | A kind of pure electric automobile intelligent network connection IVCU control systems and control method |
| CN111323032A (en) * | 2018-12-14 | 2020-06-23 | 现代自动车株式会社 | System and method for providing optimum fuel efficiency driving mode, and recording medium |
| CN110027546A (en) * | 2019-04-28 | 2019-07-19 | 杭州鸿泉物联网技术股份有限公司 | A kind of method and device optimizing driving behavior |
| CN112000112A (en) * | 2019-05-10 | 2020-11-27 | 现代自动车株式会社 | System and method for supporting automatic driving vehicle |
| CN114074673A (en) * | 2020-08-19 | 2022-02-22 | 威马智慧出行科技（上海）有限公司 | Control method and device for self-adaptive driving mode |
| CN112109722A (en) * | 2020-09-28 | 2020-12-22 | 安徽江淮汽车集团股份有限公司 | Intelligent driving auxiliary control method and system |
| CN113246999A (en) * | 2021-04-30 | 2021-08-13 | 中寰卫星导航通信有限公司 | Driving behavior analysis method and device and readable storage medium |
| CN114148339A (en) * | 2022-01-17 | 2022-03-08 | 潍柴动力股份有限公司 | Bad driving early warning method and device |
| CN114148339B (en) * | 2022-01-17 | 2024-05-17 | 潍柴动力股份有限公司 | Bad driving early warning method and device |
| CN115476857A (en) * | 2022-08-26 | 2022-12-16 | 桂林电子科技大学 | Method and device for controlling gear shifting based on natural driving data |
| CN115837918A (en) * | 2022-12-20 | 2023-03-24 | 瑞修得信息科技(无锡)有限公司 | Safe oil consumption reduction method and system based on scientific uphill and downhill driving guidance of commercial vehicle |
| CN115837918B (en) * | 2022-12-20 | 2023-11-24 | 瑞修得信息科技(无锡)有限公司 | Safe oil consumption reduction method and system based on scientific uphill and downhill driving guidance of commercial vehicle |
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