CN111324100A - Hub test control system and hub test control method - Google Patents
Hub test control system and hub test control method Download PDFInfo
- Publication number
- CN111324100A CN111324100A CN201811525434.8A CN201811525434A CN111324100A CN 111324100 A CN111324100 A CN 111324100A CN 201811525434 A CN201811525434 A CN 201811525434A CN 111324100 A CN111324100 A CN 111324100A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- target
- pedal
- working condition
- test
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
Abstract
The invention relates to a control system and a control method for a rotating hub test, which are used for executing a test working condition driving task and comprise the following steps: information acquisition unit, man-machine interaction unit, control unit and execution unit, its characterized in that: the information acquisition unit is used for acquiring and outputting vehicle information; the man-machine interaction unit receives user input, and generates test working condition selection and vehicle parameter setting according to the user input for output; the control unit receives vehicle information, test working condition selection and vehicle parameter setting, generates a target pedal position according to the vehicle parameters and the vehicle information and outputs the target pedal position based on the test working condition; the execution unit is used for receiving the output target pedal position and driving the pedal to the target pedal position. The method can be used for carrying out various working condition tests on various vehicle types.
Description
Technical Field
The invention relates to a rotating hub test control system and a method for controlling the same, and a rotating hub test control method. And more particularly to a mechanism for testing the behavior of an automotive rotating hub.
Background
In the vehicle development process, a large number of working condition tests are often required to test the vehicle performance. These tests, such as economical efficiency, power performance, durability, etc., require repeated driving operations for a long period of time. In addition, in some working condition tests under severe conditions such as high temperature, high cold, durability and the like, the reaction speed of a driver is greatly influenced, and safety hazards are brought while the test precision is reduced. For this reason, it is a future trend to perform driving tasks of various tests by an autonomous driving robot instead of human.
The existing automatic driving robot control system applicable to the automobile hub test has good performance in dealing with simple driving working conditions, but is still difficult to achieve the test requirements in complex driving working conditions, and because the hub test working conditions are various, and the accelerator braking curves of different automobile types are also different, the existing automatic driving robot can only be debugged and calibrated again by developers when facing different automobile types and driving working conditions, so that the automatic driving robot control system is not practical.
Disclosure of Invention
The invention provides a control system and a control method suitable for an automobile hub test, wherein a control decision unit for generating a driving strategy based on a test working condition is separated from an execution unit, so that the adaptability to different automatic driving robots can be realized.
According to an aspect of the present invention, there is provided a hub test control system comprising: information acquisition unit, man-machine interaction unit, control unit and execution unit, its characterized in that: the information acquisition unit is used for acquiring and outputting vehicle information; the man-machine interaction unit receives user input, and generates test working condition selection and vehicle parameter setting according to the user input for output; the control unit receives the vehicle information, the test working condition selection and the vehicle parameter setting, and generates and outputs a target pedal position according to the test working condition, the vehicle parameter and the vehicle information; the execution unit is used for receiving the output target pedal position and driving the pedal to the target pedal position.
Optionally, the human-computer interaction unit further generates an operation instruction and/or a manual intervention instruction according to the user input; the control unit further generates and outputs a target pedal position according to an operation instruction; and/or the execution unit performs an action corresponding to the instruction directly in response to the manual intervention instruction.
Optionally, the human-computer interaction unit is further configured to display at least one of parameters and information transmitted by each unit in the control system, so as to indicate an execution condition of the test condition and/or an operation condition of the control system.
Optionally, the control unit comprises: the control unit includes: the system comprises an environment module, an evaluation module and an action module; the environment module is used for receiving the test working condition selection and the vehicle information, generating characteristic parameters according to the test working condition and the vehicle information and outputting the characteristic parameters; the environment module is also used for calculating and outputting the target pedal position according to the vehicle pedal opening variation and a preset rule; the evaluation module calculates and outputs an accumulated expected reward value according to the characteristic parameter and the variation of the opening degree of the vehicle pedal; the action module is used for receiving the characteristic parameters and the accumulated expected reward value, calculating and outputting the vehicle pedal opening variation.
Optionally, the characteristic parameters include: current vehicle speed, target vehicle speed, vehicle pedal opening. .
Optionally, the evaluation module is configured to receive the characteristic parameter, and calculate a reward and punishment value according to the current vehicle speed, the target vehicle speed, and the vehicle pedal opening degree variation, where the reward and punishment value is used to evaluate a current driving strategy; the evaluation module further calculates and outputs an accumulated expected reward value according to the characteristic parameter, the vehicle pedal opening degree variation and the reward and punishment value.
Optionally, the target vehicle speed includes a current time target vehicle speed and a target vehicle speed within a predetermined time range.
According to another aspect of the present invention, there is provided a control method of a hub test, the method comprising the steps of: acquiring and outputting vehicle information; receiving user input, and generating test working condition selection and vehicle parameter setting according to the user input for output; generating a target pedal position according to the test working condition, the vehicle parameter and the vehicle information and outputting the target pedal position; receiving the output of the target pedal position and driving a pedal to the target pedal position.
Optionally, the method further comprises the step of: generating an operation instruction and/or a manual intervention instruction further according to the user input; further generating and outputting a target pedal position according to the operation instruction; and/or perform an action corresponding to the instruction directly in response to the manual intervention instruction.
Optionally, the method further comprises the step of: displaying at least one of the communicated parameters and information to indicate performance of the test condition and/or operation of the control system.
Optionally, the step of generating a target pedal position output according to the test condition, the vehicle parameter and the vehicle information comprises: receiving the test working condition selection and the vehicle information, and generating and outputting characteristic parameters according to the test working condition and the vehicle information; calculating and outputting the target pedal position according to the vehicle pedal opening variation and a preset rule; calculating and outputting an accumulated expected reward value according to the characteristic parameter and the variation of the opening degree of the vehicle pedal; and receiving the characteristic parameters and the accumulated expected reward value to calculate and output the vehicle pedal opening variation.
Optionally, the characteristic parameters include: current vehicle speed, target vehicle speed, vehicle pedal opening.
Alternatively, the step of calculating and outputting a cumulative desired award value based on the characteristic parameter and the amount of change in the opening degree of the vehicle pedal includes: receiving the characteristic parameters, and calculating a reward and punishment value according to the current vehicle speed, the target vehicle speed and the vehicle pedal opening degree variation, wherein the reward and punishment value is used for evaluating a current driving strategy; and further calculating and outputting an accumulated expected reward value according to the characteristic parameter, the vehicle pedal opening variation and the reward and punishment value.
Optionally, the target vehicle speed includes a current time target vehicle speed and a target vehicle speed within a predetermined time range.
In summary, the invention provides a control system and a control method thereof suitable for an automobile hub test, which can be used for controlling a robot to complete a driving task of an automobile test condition. The invention adopts a layered control method, and the control decision unit for generating the driving strategy based on the test working condition is separated from the execution unit, thereby realizing the adaptability to different automatic driving robots. Secondly, the invention adopts an artificial intelligence control algorithm, aims at different driving tasks, does not need manual calibration and can realize autonomous parameter adjustment. Thirdly, the system provided by the invention has strong universality, and one group of parameters can be suitable for various vehicle types; the method has low requirements on signal transmission rate and execution precision of positions of robots, and has strong robustness. And finally, the process and the characteristics of the automobile hub test are fully considered, a human-computer interaction interface which accords with the hub test is designed, and the operation difficulty of operators is simplified.
Drawings
The above and other objects and advantages of the present invention will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings, in which like or similar elements are designated by like reference numerals.
Fig. 1 is a schematic structural diagram of a control system for a hub test according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a control unit according to an embodiment of the present invention.
FIG. 3 is a flow diagram of a machine learning based control algorithm according to an embodiment of the present invention.
Detailed Description
For the purposes of brevity and explanation, the principles of the present invention are described herein with reference primarily to exemplary embodiments thereof. However, those skilled in the art will readily recognize that the same principles are equally applicable to all types of control systems for hub testing and control methods thereof, and that these same or similar principles may be implemented therein, with any such variations not departing from the true spirit and scope of the present patent application. Moreover, in the following description, reference is made to the accompanying drawings that illustrate certain exemplary embodiments. Electrical, logical, and structural changes may be made to these embodiments without departing from the spirit and scope of the invention. In addition, while a feature of the invention may have been disclosed with respect to only one of several implementations/embodiments, such feature may be combined with one or more other features of the other implementations/embodiments as may be desired and/or advantageous for any given or identified function. The following description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
Fig. 1 is a schematic structural diagram of a control system for a hub test according to an embodiment of the present invention. Referring to fig. 1, the control system can be used for controlling an automatic driving robot so as to realize the working condition test of a target vehicle. Other forms of mechanical transmission are possible, such as a simplified mechanical transmission that enables coupling of the pedals of the structure with the pedals of the vehicle for testing. The system 100 includes an information acquisition unit 102, a human-computer interaction unit 104, a control unit 106, and an execution unit 108.
Wherein, the information acquisition unit 102 is communicatively coupled to the control unit 106 and the human-computer interaction unit 104, the control unit 106 is communicatively coupled to the information acquisition unit 102, the human-computer interaction unit 104, and the execution unit 108, the human-computer interaction unit 104 is communicatively coupled to the information acquisition unit 102, the control unit 106, and the execution unit 108 is communicatively coupled to the control unit 106 and the human-computer interaction unit 104. Although the above coupling or connection is shown, this is for illustration only and any other coupling that ensures that information is coupled between the desired transceiver units is possible.
The lines used for communicative coupling may be duplex or simplex and may be arranged to be unidirectional or bidirectional depending on the flow of information. The communicatively coupled lines need not be of the same type, and may vary depending on the protocol used or the circumstances. For example, the information collection unit 102 may collect the vehicle information of the vehicle V through the CAN2.0 protocol; and the information may be passed to the human interaction unit 104 and the control unit 106 via a line type adapted to the UDP protocol, such as by the UDP protocol.
The information collection unit 102 may be communicatively coupled to or part of a computer system. For example, the diagnostic port of the vehicle V may be connected with the data acquisition card, the bus protocol CAN (may be in each version) data from the vehicle may be read, and the vehicle information, specifically, the vehicle speed information, the vehicle pedal opening degree information, the vehicle state information, and the like may be analyzed and extracted according to the CAN protocol. The vehicle pedal opening information comprises vehicle accelerator pedal opening information and vehicle brake pedal opening information. For a manual transmission type, the vehicle pedal opening information may further include vehicle clutch pedal opening information.
The pedal in the present invention refers to a pedal of an apparatus for testing a vehicle such as an automatic driving robot unless otherwise specified. The pedals are in a one-to-one correspondence with the vehicle pedals, which are generally of the same number. The opening and closing of the pedal will directly act on the pedal of the vehicle, and thus the opening and closing of the pedal is directly and positively correlated, specifically, linearly correlated or proportional, or a combination of the above forms.
The content extracted according to the CAN protocol is converted into serial port information and transmitted to the computer system side, and is transmitted to the human-computer interaction unit 104 and the control unit 106 through the UDP protocol.
The human-computer interaction unit 104 receives the transmitted vehicle information and generates the execution condition of the test condition for display based on the information. The human-computer interaction unit 104 may also be used to display status information of the system, including, for example, system fault information, parameters of each unit/module, status of each unit/module, and the like. The human-machine interaction unit 104 may further indicate the operation of the test conditions and the operation of the control system based on at least one of parameters or information transmitted between the various units in the system.
The control unit 106 is configured to generate and output a target pedal position according to the vehicle information, the test condition selection, and the vehicle (data) parameter setting, based on the test condition, and according to the vehicle parameter and the vehicle information. For example, the control unit may calculate the target pedal position using a machine learning method and output it. In addition, the control unit 106 may also receive an input for controlling the progress of the test, and the operation instruction corresponding to the setting of the progress of the test received by the control unit 106 may be an operation instruction for starting the test, suspending the test, and the like, at this time, the corresponding user input received by the human-computer interaction unit 104 is a selection of a test condition, a setting of vehicle (data) parameters, and a control operation instruction for controlling the progress of the test. The control unit 106 generates and outputs a target pedal position in accordance with the operation instruction. For example, when the operation command is to start a test, the brake pedal may be slowly driven to the target position of full release, and the accelerator pedal may also be slowly driven to the target position. When the operation command is a pause test, the brake pedal needs to be driven to a target position where the vehicle can be parked, and the accelerator pedal needs to be driven to a target position where the vehicle is fully released.
The execution unit 108 is configured to receive the output target pedal position and drive the pedal to the target pedal position, and further drive the pedal of the vehicle V to a specific position. For example, the execution unit 108 may control the motor to drive the pedal to a target position requested by the control unit 106. Further, if the user's input includes a manual intervention instruction, execution unit 108 performs an action corresponding to the instruction directly in response to the manual intervention instruction. For example, if the manual intervention command is an emergency stop, the execution unit 108 quickly drives the brake pedal to a target position where the vehicle can be parked and quickly drives the accelerator pedal to a target position where the vehicle is fully released in direct response to the manual intervention command. The manual intervention command may be a command requiring direct pedal actuation for quick response, such as an emergency stop, a return to original, and a change in pedal position.
Fig. 2 is a schematic structural diagram of a control unit according to an embodiment of the present invention. Referring to fig. 2, the control unit includes an environment module 202, an evaluation module 204, and an action module 206. The environment module 202 is configured to receive the test condition selection and the vehicle information, and generate a characteristic parameter according to the test condition and the vehicle information, where the characteristic parameter may be at least one of a current vehicle speed, a current target vehicle speed, a target vehicle speed within a predetermined time (such as within 3 seconds), a vehicle pedal opening variation, and the like, and send the characteristic parameter to the evaluation module 204 and the action module 206. The environment module 202 is further configured to calculate and output an output target pedal position based on the vehicle pedal opening and the rule limit.
The rule limit is a predetermined rule, and may be, for example, a mapping relationship that satisfies a certain mathematical relationship.
The evaluation module 204 is configured to receive the characteristic parameters, and may calculate a reward and punishment value according to a target vehicle speed (a target vehicle speed at a current moment or a target vehicle speed within a predetermined time range) of the test working condition, the current vehicle speed, and a vehicle accelerator pedal opening variation (a vehicle accelerator pedal opening variation and/or a vehicle brake pedal opening variation), by the reward and punishment function, so as to evaluate the current driving strategy. The evaluation module 204 calculates an accumulated expected reward value according to the characteristic parameter, the vehicle accelerator pedal opening degree variation and/or the vehicle brake pedal opening degree variation generated by the action model, and the reward and punishment value, and generates an action module 206 neural network parameter update gradient.
The action module 206 is used for receiving the characteristic parameters and the accumulated expected reward value calculation and outputting the vehicle accelerator pedal opening variation and/or the vehicle brake pedal opening variation.
Although fig. 1 and 2 show the structure of the control system for the hub test according to an embodiment of the present invention. The present disclosure may be implemented without reference to specific units or modules. The technical substance of the invention can also be realized in the form of method steps.
In implementing the technical spirit of the present invention, the system proposed by the present invention can be used in a certain sequence flow. FIG. 3 is a flow diagram of a machine learning based control algorithm according to an embodiment of the present invention. Referring to fig. 3, after the start step S302 is performed, first, vehicle parameters (such as vehicle type information) are filled in by a tester in step S304. Then, in step S306, the tester sets the correspondence relationship between the pedal, the accelerator, and the brake. The test person then selects a test condition (e.g., economy, dynamics, durability, etc.) in step S308 and initiates the control routine in step S310. The control program determines whether the existing parameters match the test condition and the vehicle type (step S312). If the parameters are matched, the relevant parameters are filled in (step S314) and the neural network parameters are called (step S316) to start the hub test (step S318), and the test is finished (step S320).
If the existing parameters do not match the model of the trial vehicle, it is determined whether there is partial learning data in step S322. If there is already partial learning data, the relevant parameters are filled in (step S324) and the adaptive learning driving strategy is started (step S326). The driving results, including the number of over-runs, the over-run position, the condition training results, etc., may be displayed in step S328. It is then determined whether learning is to be ended (step S330), and if so, the neural network parameters are stored (step S332) and the test is ended (step S320). If the learning is not finished, it is judged whether to check the learning effect or continue the learning (step S342), and thereafter if it is judged to check the learning effect or continue the learning, relevant parameters are filled in and the adaptive learning driving strategy is continued (steps S344, S336), and the above processes are repeated until the learning is finished, the neural network parameters are stored (step S332), and the experiment is finished (step S320).
If there is no partial learning data, the relevant parameters are filled in (step S334) and the adaptive learning driving strategy is started (step S336). The driving results, including the number of over-runs, the over-run position, the condition training results, etc., may be displayed in step S328. It is then determined whether learning is to be ended (step S330), and if so, the neural network parameters are stored (step S332) and the test is ended (step S320). If the learning is not finished, it is judged whether to check the learning effect or continue the learning (step S342), and thereafter if it is judged to check the learning effect or continue the learning, relevant parameters are filled in and the adaptive learning driving strategy is continued (steps S344, S336), and the above processes are repeated until the learning is finished, the neural network parameters are stored (step S332), and the experiment is finished (step S320).
In summary, the invention provides a control system and a control method thereof suitable for an automobile hub test, which can be used for controlling a robot to complete a driving task of an automobile test condition. The invention adopts a layered control method, and the control decision unit for generating the driving strategy based on the test working condition is separated from the execution unit, thereby realizing the adaptability to different automatic driving robots. Secondly, the invention adopts an artificial intelligence control algorithm, aims at different driving tasks, does not need manual calibration and can realize autonomous parameter adjustment. Thirdly, the system provided by the invention has strong universality, and one group of parameters can be suitable for various vehicle types; the method has low requirements on signal transmission rate and execution precision of positions of robots, and has strong robustness. And finally, the process and the characteristics of the automobile hub test are fully considered, a human-computer interaction interface which accords with the hub test is designed, and the operation difficulty of operators is simplified.
It should be noted that some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The above examples generally illustrate a hub test control system and method of controlling the same, and a hub test control method of the present disclosure. Although only a few embodiments of the present invention have been described, those skilled in the art will appreciate that the present invention may be embodied in many other forms without departing from the spirit or scope thereof. Accordingly, the present examples and embodiments are to be considered as illustrative and not restrictive, and various modifications and substitutions may be made therein without departing from the spirit and scope of the present invention as defined by the appended claims.
Claims (12)
1. A hub trial control system, comprising: information acquisition unit, man-machine interaction unit, control unit and execution unit, its characterized in that:
the information acquisition unit is used for acquiring and outputting vehicle information;
the man-machine interaction unit receives user input, and generates test working condition selection and vehicle parameter setting according to the user input for output;
the control unit receives the vehicle information, the test working condition selection and the vehicle parameter setting, and generates and outputs a target pedal position according to the test working condition, the vehicle parameter and the vehicle information;
the execution unit is used for receiving the output target pedal position and driving the pedal to the target pedal position.
2. The system of claim 1, wherein:
the human-computer interaction unit further generates an operation instruction and/or a manual intervention instruction according to the user input;
the control unit further generates and outputs a target pedal position according to an operation instruction; and/or
The execution unit executes an action corresponding to the instruction directly in response to the manual intervention instruction.
3. The system according to claim 1 or 2, characterized in that:
the man-machine interaction unit is also used for displaying at least one of parameters and information transmitted by each unit in the control system so as to indicate the execution condition of the test working condition and/or the running condition of the control system.
4. The system of claim 3, wherein:
the control unit includes: the system comprises an environment module, an evaluation module and an action module;
the environment module is used for receiving the test working condition selection and the vehicle information, generating characteristic parameters according to the test working condition and the vehicle information and outputting the characteristic parameters;
the environment module is also used for calculating and outputting the target pedal position according to the vehicle pedal opening variation and a preset rule;
the evaluation module calculates and outputs an accumulated expected reward value according to the characteristic parameter and the variation of the opening degree of the vehicle pedal;
the action module is used for receiving the characteristic parameters and the accumulated expected reward value, calculating and outputting the vehicle pedal opening variation.
5. The system of claim 4, wherein the characteristic parameters comprise: current vehicle speed, target vehicle speed, vehicle pedal opening.
6. The system of claim 5, wherein:
the evaluation module is used for receiving the characteristic parameters and calculating a reward and punishment value according to the current vehicle speed, the target vehicle speed and the vehicle pedal opening variation, and the reward and punishment value is used for evaluating the current driving strategy; the evaluation module further calculates and outputs an accumulated expected reward value according to the characteristic parameter, the vehicle pedal opening degree variation and the reward and punishment value.
7. A hub test control method, comprising the steps of:
acquiring and outputting vehicle information;
receiving user input, and generating test working condition selection and vehicle parameter setting according to the user input for output;
generating a target pedal position according to the test working condition, the vehicle parameter and the vehicle information and outputting the target pedal position;
receiving the output of the target pedal position and driving a pedal to the target pedal position.
8. The method according to claim 7, characterized in that the method further comprises the step of:
generating an operation instruction and/or a manual intervention instruction further according to the user input;
further generating and outputting a target pedal position according to the operation instruction; and/or
And directly responding to the manual intervention instruction to execute the action corresponding to the instruction.
9. The method according to claim 7 or 8, characterized in that the method further comprises the step of: displaying at least one of the communicated parameters and information to indicate performance of the test condition and/or operation of the control system.
10. The method of claim 7, wherein generating a target pedal position output based on the test operating condition, the vehicle parameter, and the vehicle information comprises:
receiving the test working condition selection and the vehicle information, and generating and outputting characteristic parameters according to the test working condition and the vehicle information;
calculating and outputting the target pedal position according to the vehicle pedal opening variation and a preset rule;
calculating and outputting an accumulated expected reward value according to the characteristic parameter and the variation of the opening degree of the vehicle pedal;
and receiving the characteristic parameters and the accumulated expected reward value to calculate and output the vehicle pedal opening variation.
11. The method of claim 10, wherein: the characteristic parameters comprise: current vehicle speed, target vehicle speed, vehicle pedal opening.
12. The method according to claim 11, wherein the step of calculating and outputting a cumulative desired award value based on the characteristic parameter and the amount of change in the opening degree of the vehicle pedal includes:
receiving the characteristic parameters, and calculating a reward and punishment value according to the current vehicle speed, the target vehicle speed and the vehicle pedal opening degree variation, wherein the reward and punishment value is used for evaluating a current driving strategy; and further calculating and outputting an accumulated expected reward value according to the characteristic parameter, the vehicle pedal opening variation and the reward and punishment value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811525434.8A CN111324100A (en) | 2018-12-13 | 2018-12-13 | Hub test control system and hub test control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811525434.8A CN111324100A (en) | 2018-12-13 | 2018-12-13 | Hub test control system and hub test control method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111324100A true CN111324100A (en) | 2020-06-23 |
Family
ID=71166498
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811525434.8A Pending CN111324100A (en) | 2018-12-13 | 2018-12-13 | Hub test control system and hub test control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111324100A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113085762A (en) * | 2021-04-13 | 2021-07-09 | 联合汽车电子有限公司 | Driving cycle automatic control method and device |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1847818A (en) * | 2006-01-12 | 2006-10-18 | 中国兵器装备集团摩托车检测技术研究所 | Automatic simulating unmanned motorcycle driving system |
| CN101916519A (en) * | 2010-07-30 | 2010-12-15 | 湖南南车时代电动汽车股份有限公司 | Driving simulation test method for test bench of power system of electric automobile |
| CN103324085A (en) * | 2013-06-09 | 2013-09-25 | 中国科学院自动化研究所 | Optimal control method based on supervised reinforcement learning |
| CN103407445A (en) * | 2013-08-18 | 2013-11-27 | 北京工业大学 | Automatic accelerator and brake switching control system for intelligent vehicle and method |
| KR20140025099A (en) * | 2012-08-21 | 2014-03-04 | 현대모비스 주식회사 | System and method for vehicular simulation drive |
| CN104677645A (en) * | 2015-02-13 | 2015-06-03 | 郑州宇通客车股份有限公司 | Test stand for power systems of automobiles, and automatic test method of working conditions |
| CN206710075U (en) * | 2017-03-31 | 2017-12-05 | 奇瑞商用车（安徽）有限公司 | A kind of three-dimensional for the man-machine checking of accelerator pedal of automobile adjusts lockable mechanism |
| CN108007695A (en) * | 2017-11-29 | 2018-05-08 | 潍柴动力股份有限公司 | Automobile revolving drum test table composes test device and test method with road |
| CN108803604A (en) * | 2018-06-06 | 2018-11-13 | 深圳市易成自动驾驶技术有限公司 | Vehicular automatic driving method, apparatus and computer readable storage medium |
-
2018
- 2018-12-13 CN CN201811525434.8A patent/CN111324100A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1847818A (en) * | 2006-01-12 | 2006-10-18 | 中国兵器装备集团摩托车检测技术研究所 | Automatic simulating unmanned motorcycle driving system |
| CN101916519A (en) * | 2010-07-30 | 2010-12-15 | 湖南南车时代电动汽车股份有限公司 | Driving simulation test method for test bench of power system of electric automobile |
| KR20140025099A (en) * | 2012-08-21 | 2014-03-04 | 현대모비스 주식회사 | System and method for vehicular simulation drive |
| CN103324085A (en) * | 2013-06-09 | 2013-09-25 | 中国科学院自动化研究所 | Optimal control method based on supervised reinforcement learning |
| CN103407445A (en) * | 2013-08-18 | 2013-11-27 | 北京工业大学 | Automatic accelerator and brake switching control system for intelligent vehicle and method |
| CN104677645A (en) * | 2015-02-13 | 2015-06-03 | 郑州宇通客车股份有限公司 | Test stand for power systems of automobiles, and automatic test method of working conditions |
| CN206710075U (en) * | 2017-03-31 | 2017-12-05 | 奇瑞商用车（安徽）有限公司 | A kind of three-dimensional for the man-machine checking of accelerator pedal of automobile adjusts lockable mechanism |
| CN108007695A (en) * | 2017-11-29 | 2018-05-08 | 潍柴动力股份有限公司 | Automobile revolving drum test table composes test device and test method with road |
| CN108803604A (en) * | 2018-06-06 | 2018-11-13 | 深圳市易成自动驾驶技术有限公司 | Vehicular automatic driving method, apparatus and computer readable storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113085762A (en) * | 2021-04-13 | 2021-07-09 | 联合汽车电子有限公司 | Driving cycle automatic control method and device |
| CN113085762B (en) * | 2021-04-13 | 2023-03-03 | 联合汽车电子有限公司 | Driving cycle automatic control method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109556885B (en) | Automatic driving control method and system for electric vehicle performance test | |
| CN106218639B (en) | Automatic driving vehicle, the method and apparatus for controlling automatic driving vehicle | |
| CN102289210B (en) | Vehicle simulation system with software-in-the-loop bypass control | |
| CN112130472A (en) | Automatic driving simulation test system and method | |
| CN106598024B (en) | Retarder signal simulation detection device and detection method | |
| US20190308662A1 (en) | Stowable steering wheel | |
| CN104565127A (en) | Self-learning method and device of hybrid electric vehicle and clutch of hybrid electric vehicle | |
| CN111413103B (en) | Automatic test system and test method for vehicle working condition | |
| CN105717805A (en) | Development and testing platform of automatic mechanical transmission control unit | |
| JP2019095430A (en) | Vehicle error identification system | |
| CN112945573A (en) | Driving control method and driving quality evaluation method for driving robot, and electronic device | |
| CN114483942B (en) | Self-learning detection method, system and equipment for clutch of automobile transmission control unit | |
| CN111324100A (en) | Hub test control system and hub test control method | |
| CN110356399A (en) | A kind of method and apparatus of dynamical system torque monitoring | |
| CN110481521A (en) | A kind of the rack gear control method for movement and device of electric brake system | |
| JP2007507765A (en) | System and method for testing a control process for a vehicle | |
| CN111649959A (en) | Throttle control device for vehicle performance test development | |
| CN103994894A (en) | Electromobile test platform based on AMT and implementation method thereof | |
| CN103926082A (en) | Vehicle brake system test platform and method | |
| CN115808913A (en) | Fault diagnosis function test method, device, equipment and storage medium | |
| CN114062806B (en) | Vehicle testing method and device | |
| CN111422180B (en) | Automatic calibration method and system for line-controlled brake stroke | |
| CN111076943A (en) | System and method for simulating and analyzing overall drivability of automatic transmission | |
| CN107176162B (en) | Constant-speed-cruise control method, control device and the vehicle with the control device | |
| CN109960627A (en) | Control electronics and its operating method and computer readable recording 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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200623 |
|
| RJ01 | Rejection of invention patent application after publication |