CN114030476A - Vehicle acceleration control method and related equipment - Google Patents
Vehicle acceleration control method and related equipment Download PDFInfo
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- CN114030476A CN114030476A CN202111253990.6A CN202111253990A CN114030476A CN 114030476 A CN114030476 A CN 114030476A CN 202111253990 A CN202111253990 A CN 202111253990A CN 114030476 A CN114030476 A CN 114030476A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- 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
- B60W40/10—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 vehicle motion
- B60W40/107—Longitudinal acceleration
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
- B60W2520/105—Longitudinal acceleration
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/72—Electric energy management in electromobility
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Abstract
The invention discloses a vehicle acceleration control method and related equipment. The method comprises the following steps: acquiring an acceleration average value and an acceleration standard deviation of a vehicle in a sampling interval; acquiring an average value of preset acceleration average values as a first correction value; acquiring the average value of the preset acceleration standard deviations as a second correction value; and acquiring an acceleration correction coefficient based on the first correction value, the second correction value, the first preset value and the second preset value, and correcting the pedal opening according to the correction coefficient. The vehicle can provide dynamic response more conforming to the driving behavior of the user for the user, delay between a pedal and acceleration during acceleration and deceleration is reduced, and driving experience of the driver is improved.
Description
Technical Field
The embodiment of the specification relates to the field of vehicle control, in particular to a vehicle acceleration control method and related equipment.
Background
At present, most vehicles developed in the market are provided with several conventional driving modes such as conventional, energy-saving, sport and snow, so as to meet the use requirements of different drivers in different scenes. With the continuous updating and progress of automobile technology, users continuously pursue more extreme driving experience, and obviously, several single driving modes cannot meet the use requirements of all drivers. If the dynamic response of the vehicle can be adjusted according to the driving style of the driver, the vehicle more suitable for the driving style of the driver can be customized for the driver.
Disclosure of Invention
In this summary, concepts in a simplified form are introduced that are further described in the detailed description. This summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
The embodiment of the application provides a vehicle acceleration control method and related equipment, and mainly aims to provide a vehicle acceleration control strategy which accords with driving habits of a user and improve driving experience of the user.
To at least partially solve the above problem, a first aspect of the present invention provides a vehicle acceleration control method, including:
acquiring an acceleration average value and an acceleration standard deviation of a vehicle in a sampling interval;
acquiring a first correction value which is an average value of preset acceleration average values;
acquiring the average value of the preset acceleration standard deviations as a second correction value;
acquiring an acceleration correction coefficient based on the first correction value, the second correction value, a first preset value and a second preset value, wherein the first preset value is acquired based on a historical acceleration average value, and the second preset value is acquired based on a historical acceleration standard deviation;
and correcting the pedal opening according to the correction coefficient, wherein the pedal opening comprises an accelerator pedal opening and a brake pedal opening.
Optionally, the obtaining an acceleration correction coefficient based on the first correction value, the second correction value, the first preset value, and the second preset value includes:
acquiring an acceleration correction coefficient based on the first correction value, the second correction value, the first preset value, the second preset value, the first weight and the second weight;
wherein the first weight is set based on an acceleration average value, and the second weight is set based on an acceleration standard deviation.
Optionally, the preset number of the acceleration average values and the preset number of the acceleration standard deviations are iteratively updated.
Optionally, the operation of the iterative update is closed based on a user instruction.
Optionally, the sampling interval includes an acceleration sampling interval, and the acceleration sampling interval is set according to a vehicle speed and an accelerator pedal opening.
Optionally, the sampling interval includes a deceleration and acceleration sampling interval, and the deceleration sampling interval is set according to a vehicle speed and a brake pedal opening.
Optionally, the correction coefficient is updated based on a user instruction.
In a second aspect, the present invention also provides a vehicle acceleration control apparatus, including:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring an acceleration average value and an acceleration standard deviation of a vehicle in a sampling interval;
the second obtaining unit is used for obtaining the average value of the preset acceleration average values as a first correction value;
a third obtaining unit, configured to obtain an average value of the preset acceleration standard deviations as a second correction value;
a fourth obtaining unit configured to obtain an acceleration correction coefficient based on the first correction value, the second correction value, a first preset value obtained based on a historical acceleration average, and a second preset value obtained based on a historical acceleration standard deviation.
And a correction unit for correcting the pedal opening degree according to the correction coefficient, wherein the pedal opening degree comprises an accelerator pedal opening degree and a brake pedal opening degree.
In a third aspect, an electronic device includes: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the vehicle acceleration control method according to any one of the first aspect described above when executing the computer program stored in the memory.
In a fourth aspect, the present invention also proposes a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the vehicle acceleration control method of any one of the above-mentioned first aspects.
In summary, the method of the present solution includes: acquiring an acceleration average value and an acceleration standard deviation of a vehicle in a sampling interval; acquiring an average value of preset acceleration average values as a first correction value; acquiring the average value of the preset acceleration standard deviations as a second correction value; and acquiring an acceleration correction coefficient based on the first correction value, the second correction value, the first preset value and the second preset value, and correcting the pedal opening according to the correction coefficient. The acceleration average value and the acceleration standard deviation of the acceleration and deceleration behaviors are counted by obtaining the preset acceleration and deceleration behaviors in the sampling interval, the correction coefficients of the accelerator pedal and the brake pedal are obtained based on the collected acceleration average value and standard deviation and the average value and standard deviation in historical data, and the opening of the accelerator pedal and the opening of the brake pedal are corrected according to the correction coefficients, so that the vehicle can provide dynamic response which is more consistent with the driving behaviors of a user for the user, the delay between the pedal and the acceleration during acceleration and deceleration is reduced, and the driving experience of a driver is improved.
The vehicle acceleration control method of the present invention, and other advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the specification. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic flow chart illustrating a method for controlling vehicle acceleration according to an embodiment of the present disclosure;
FIG. 2 is a schematic structural diagram of a vehicle acceleration control device according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a vehicle acceleration control electronic device according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a vehicle acceleration control method and related equipment, the method includes the steps of obtaining preset acceleration and deceleration behaviors in a sampling interval, counting an acceleration average value and an acceleration standard deviation of the acceleration average value and the acceleration standard deviation, obtaining correction coefficients of an accelerator pedal and a brake pedal based on the collected acceleration average value and standard deviation and average values and standard deviations in historical data, and correcting the opening of the accelerator pedal and the opening of the brake pedal according to the correction coefficients, so that a vehicle can provide dynamic response which is more consistent with driving behaviors of a user, delay between the pedal and the acceleration during acceleration and deceleration is reduced, and driving experience of a driver is improved.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
Referring to fig. 1, a schematic flow chart of a vehicle acceleration control method provided in an embodiment of the present application may specifically include:
s110, acquiring an acceleration average value and an acceleration standard deviation of the vehicle in a sampling interval;
specifically, during the acceleration and deceleration of the vehicle, the driving habits of different drivers are different, and the accelerating and decelerating effects of the vehicle are different. In addition, the driving habits of the same driver in different speed intervals are different, some driver habits and low-speed areas are accelerated rapidly to seek higher speed, the driving behavior is not carried out any more when the speed is increased to a certain degree, and the acceleration of the vehicle is not linear change behavior. Thus, the driver needs to adapt to the response relationship between the opening degrees of the brake pedal and the accelerator pedal of the vehicle and the acceleration and deceleration, usually, the vehicle is already assigned with the corresponding relationship between the brake pedal and the accelerator pedal and the engine torque at the time of factory shipment, and the user can only adapt to the acceleration or deceleration characteristics of the vehicle. The vehicles with higher rank can preset several different modes, but no vehicle can make a vehicle which completely accords with the driving habits of the driver according to different drivers.
According to the scheme provided by the embodiment, through setting a reasonable sampling interval, the average value and the standard deviation of the acceleration of the user in an acceleration interval or a deceleration interval are firstly collected. The acceleration average value is obtained by dividing a sampling interval into a plurality of time periods according to a preset sampling rule in the sampling interval, calculating the acceleration of the vehicle in each time period, and averaging the accelerations in all the time periods to obtain the acceleration average value, wherein the standard deviation is calculated according to the acceleration in each time period. It will be appreciated that the average value of the acceleration may be indicative of the severity of acceleration or deceleration of the driver over the sampling interval, and the standard deviation may be indicative of whether the acceleration of the driver over the sampling interval is linear, if the standard deviation is large, the acceleration is highly variable during acceleration or deceleration, if the standard deviation is small, the acceleration is approximately linear during acceleration or deceleration, and the average value of the acceleration and the standard deviation are combined to better characterize the acceleration and deceleration characteristics of the driver.
S120, acquiring an average value of preset average values of the accelerations as a first correction value;
specifically, the single sampling result may have randomness, and an average value of the acceleration is calculated as the first correction value for a preset number of sampling results.
It will be appreciated that this acceleration also includes acceleration and deceleration, and that the preset number may be set by the user or developer, and that the preset number may be 5, 10 or other numbers.
S130, acquiring the average value of the preset acceleration standard deviations as a second correction value;
specifically, the single sampling result may have randomness, and an average value of the standard deviation of the acceleration is calculated as the second correction value for the preset sampling result.
It will be appreciated that this acceleration also includes acceleration and deceleration, and that the preset number may be set by the user or developer, and that the preset number may be 5, 10 or other numbers. The preset number of steps is the same as the number of steps S120, and the steps S120 and S130 are not in sequence.
And S140, acquiring an acceleration correction coefficient based on the first correction value, the second correction value, a first preset value and a second preset value, wherein the first preset value is acquired based on a historical acceleration average value, and the second preset value is acquired based on a historical acceleration standard deviation.
Specifically, the first preset value and the second preset value are obtained based on historical data, and the historical data may be data that is installed in the vehicle before the vehicle leaves a factory, or may be data counted based on big data. According to the first correction value and the first preset value, a correction coefficient of the average acceleration can be obtained, a correction coefficient of the acceleration standard deviation can be obtained through the second correction value and the second preset value, and a final acceleration correction coefficient can be obtained through the correction coefficients of the acceleration and the standard deviation. It is understood that the correction coefficients include an acceleration correction coefficient and a deceleration correction coefficient.
And S150, correcting the pedal opening according to the correction coefficient, wherein the pedal opening comprises an accelerator pedal opening and a brake pedal opening.
Specifically, the opening degree of the accelerator pedal is corrected according to the acceleration correction coefficient, and the opening degree of the brake pedal is corrected according to the deceleration correction coefficient, so that the vehicle can provide a dynamic response more conforming to the driving behavior of the user for the user, and the delay between the pedal and the acceleration during acceleration and deceleration is reduced.
In summary, according to the embodiment of the application, the acceleration average value and the acceleration standard deviation of the acceleration and deceleration behaviors are counted by acquiring the preset acceleration and deceleration behaviors in the sampling interval, the correction coefficients of the accelerator pedal and the brake pedal are acquired based on the acquired acceleration average value and standard deviation and the average value and standard deviation in the historical data, and the opening of the accelerator pedal and the opening of the brake pedal are corrected according to the correction coefficients, so that the vehicle can provide dynamic response which is more in line with the driving behaviors of the user for the user, delay between the pedal and the acceleration during acceleration and deceleration is reduced, and the driving experience of the driver is improved.
In some examples, the obtaining the acceleration correction coefficient based on the first correction value, the second correction value, the first preset value, and the second preset value includes:
acquiring an acceleration correction coefficient based on the first correction value, the second correction value, the first preset value, the second preset value, the first weight and the second weight;
wherein the first weight is set based on an acceleration average value, and the second weight is set based on an acceleration standard deviation.
Specifically, the correction coefficient may be calculated according to formula (1)
In the formula, mukAlpha is a first weight for the correction coefficient,is a first correction value for the first image data,is a first preset value, beta is a second weight, lambdakIs the second correction value, δkIs the second preset value.
The influence of the acceleration average value and the acceleration standard deviation on the correction coefficient is controlled by setting the first weight value and the second weight value, the average value can better represent the quick response of acceleration, the standard deviation can better represent the linear degree of acceleration, and a driver or a developer can work out the correction coefficient which accords with users with different driving habits by reasonably setting the first weight value and the second weight value, so that the vehicle acceleration control method is optimized.
In summary, a more detailed speed control strategy can be made for the average value and the standard value of the acceleration by setting the first weight and the second weight, so as to meet the driving habits of different drivers.
In some examples, the predetermined number of the acceleration averages and the predetermined number of the acceleration standard deviations are iteratively updated.
Specifically, the preset number can be 5, and the number of the preset number is sequentially numbered from first to last according to the acquisition sequence, namely, the number 1 data, the number 2 data, the number 3 data, the number 4 data and the number 5 data, and the average value is obtained through the number 1 to 5 data, so that the correction coefficient is determined. In order to ensure that the vehicle can be dynamically adjusted according to the driving behavior of the user, when the vehicle collects the data No. 6, the data No. 1 is deleted, and the data No. 2 to 6 are used for calculating the average value so as to determine the correction coefficient. When the next valid data is collected, the above operation is repeated to ensure that the correction coefficient is changed along with the change of the habit of the driver. It should be noted that the above 5 are only used for the applicant to explain the method of the present embodiment, and the specific numerical values are not limited herein.
In conclusion, the acceleration average value and the acceleration standard deviation are updated iteratively, so that the correction coefficient can be changed along with the change of the driving habits of the driver, and an acceleration control scheme which is more in line with the driving habits of the driver is specified.
In some examples, the above-described operation of iterative updating is turned off based on a user instruction.
Specifically, the user may close the iterative update operation through a corresponding button or a corresponding human-computer interaction interface. The acceleration control strategy of the vehicle is changed according to the driving habits of other people when the vehicle is lent to other people for short time use.
In some examples, the sampling interval includes an acceleration sampling interval that is set according to a vehicle speed and an accelerator pedal opening.
Specifically, when the vehicle speed is higher than a first threshold value and lower than a second threshold value and the opening degree of an accelerator pedal is larger than a first preset opening degree, the vehicle is in an acceleration sampling interval at the moment, and the acceleration behavior is sampled. The sampling result can be prevented from being influenced by the wrong operation of the accelerator pedal by a driver by integrating the vehicle speed and the opening degree of the accelerator pedal.
In some examples, the sampling interval includes a deceleration-acceleration sampling interval, and the deceleration sampling interval is set according to a vehicle speed and a brake pedal opening.
Specifically, when the vehicle speed is higher than a third threshold value and lower than a fourth threshold value and the brake pedal opening degree is larger than a second preset opening degree, the vehicle is in a deceleration sampling interval, and the deceleration behavior is sampled. The vehicle speed and the brake pedal opening degree are integrated, so that the influence of the wrong operation of a driver on the brake pedal on a sampling result can be avoided.
In some examples, the correction factor is updated based on a user instruction.
Specifically, the user may set 3, 5, or 8 or other arbitrary values, and the user may set different acceleration strategies for other scenes, such as urban areas, high speed, or rural areas, by setting different correction coefficients. When the vehicle runs in different scenes, the acceleration strategy more suitable for the current scene is selected, and therefore better driving experience is obtained.
Referring to fig. 2, an embodiment of a vehicle acceleration control apparatus according to an embodiment of the present application may include:
a first obtaining unit 21, configured to obtain an acceleration average value and an acceleration standard deviation of the vehicle in a sampling interval;
a second obtaining unit 22, configured to obtain an average value of preset average values of the accelerations as a first correction value;
a third obtaining unit 23, configured to obtain an average value of the preset acceleration standard deviations as a second correction value;
a fourth obtaining unit 24, configured to obtain the acceleration correction coefficient based on the first correction value, the second correction value, a first preset value obtained based on a historical acceleration average value, and a second preset value obtained based on a historical acceleration standard deviation.
And a correcting unit 25 for correcting the pedal opening including an accelerator pedal opening and a brake pedal opening based on the correction coefficient.
As shown in fig. 3, the embodiment of the present application further provides an electronic device 300, which includes a memory 310, a processor 320 and a computer program 311 stored in the memory 320 and operable on the processor, wherein when the computer program 311 is executed by the processor 320, the steps of any one of the methods for controlling the acceleration of the vehicle described above are implemented.
Since the electronic device described in this embodiment is a device for implementing an acceleration control apparatus of a vehicle in this embodiment, based on the method described in this embodiment, a person skilled in the art can understand the specific implementation manner of the electronic device of this embodiment and various modifications thereof, so that how to implement the method in this embodiment by the electronic device will not be described in detail herein, and as long as the person skilled in the art implements the device used in this embodiment, the scope of protection of this application is included.
In a specific implementation, the computer program 311 may implement any of the embodiments corresponding to fig. 1 when executed by a processor.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Embodiments of the present application also provide a computer program product, which includes computer software instructions, when the computer software instructions are run on a processing device, cause the processing device to execute a flow of vehicle acceleration control as in the corresponding embodiment of fig. 1.
The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). A computer-readable storage medium may be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A vehicle acceleration control method characterized by comprising:
acquiring an acceleration average value and an acceleration standard deviation of a vehicle in a sampling interval;
acquiring a first correction value which is an average value of preset acceleration average values;
acquiring the average value of the preset acceleration standard deviations as a second correction value;
acquiring an acceleration correction coefficient based on the first correction value, the second correction value, a first preset value and a second preset value, wherein the first preset value is acquired based on a historical acceleration average value, and the second preset value is acquired based on a historical acceleration standard deviation;
and correcting the pedal opening according to the correction coefficient, wherein the pedal opening comprises an accelerator pedal opening and a brake pedal opening.
2. The method of claim 1, wherein obtaining an acceleration correction factor based on the first correction value, the second correction value, a first preset value, and a second preset value comprises:
acquiring an acceleration correction coefficient based on the first correction value, the second correction value, the first preset value, the second preset value, the first weight and the second weight;
wherein the first weight is set based on an acceleration average value, and the second weight is set based on an acceleration standard deviation.
3. The method of claim 1, wherein said predetermined number of said acceleration averages and said predetermined number of said acceleration standard deviations are iteratively updated.
4. The method of claim 3, further comprising:
and closing the operation of the iterative update based on a user instruction.
5. The method of claim 1, wherein the sampling interval comprises an acceleration sampling interval that is set based on vehicle speed and accelerator pedal opening.
6. The method of claim 1, wherein the sampling interval comprises a deceleration-acceleration sampling interval, and the deceleration sampling interval is set according to a vehicle speed and a brake pedal opening.
7. The method of claim 1, further comprising:
updating the correction coefficient based on a user instruction.
8. A vehicle acceleration control device, characterized by comprising:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring an acceleration average value and an acceleration standard deviation of a vehicle in a sampling interval;
the second acquisition unit is used for acquiring the average value of the preset acceleration average values as a first correction value;
the third obtaining unit is used for obtaining the average value of the preset acceleration standard deviations as a second correction value;
a fourth obtaining unit, configured to obtain an acceleration correction coefficient based on the first correction value, the second correction value, a first preset value, and a second preset value, where the first preset value is obtained based on a historical acceleration average value, and the second preset value is obtained based on a historical acceleration standard deviation;
and the correcting unit is used for correcting the pedal opening according to the correction coefficient, wherein the pedal opening comprises an accelerator pedal opening and a brake pedal opening.
9. An electronic device, comprising: memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor is adapted to carry out the steps of the vehicle acceleration control method according to any of claims 1-7 when executing the computer program stored in the memory.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program realizes the steps of the vehicle acceleration control method according to any one of claims 1-7 when executed by a processor.
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Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR950005616A (en) * | 1993-08-10 | 1995-03-20 | 나까무라 유이찌 | Vehicle driving operation estimation method and vehicle driving characteristic control method |
WO2007045787A1 (en) * | 2005-10-21 | 2007-04-26 | Peugeot Citroën Automobiles SA | Method for validating the measurement supplied by an accelerometer in a motor vehicle and use for estimating slope |
JP2008076130A (en) * | 2006-09-20 | 2008-04-03 | Toyota Motor Corp | Vehicle motion control device and calculation device for acceleration expectation value |
CN104334431A (en) * | 2012-06-05 | 2015-02-04 | 丰田自动车株式会社 | Driving characteristics estimation device and driver assistance system |
CN107031655A (en) * | 2015-10-15 | 2017-08-11 | 福特全球技术公司 | Determine the variance of unit weight of complicated highway section |
US20180257655A1 (en) * | 2017-03-07 | 2018-09-13 | Toyota Motor Engineering & Manufacturing North America, Inc. | Learning driver rate of pedal change |
DE102019114595A1 (en) * | 2018-08-07 | 2020-02-13 | GM Global Technology Operations LLC | INTELLIGENT VEHICLE NAVIGATION SYSTEMS, METHOD AND CONTROL LOGIC FOR DERIVING ROAD SECTION SPEED LIMITS |
CN111731312A (en) * | 2020-06-15 | 2020-10-02 | 苏州绿科智能机器人研究院有限公司 | Experimental system for extracting driving style characteristic parameters and driving style identification method |
CN111907530A (en) * | 2019-05-10 | 2020-11-10 | 广州汽车集团股份有限公司 | Vehicle acceleration response time adjusting method and system based on driving style recognition |
WO2021000853A1 (en) * | 2019-07-01 | 2021-01-07 | 长城汽车股份有限公司 | Braking control method and system and vehicle |
CN112550298A (en) * | 2019-09-26 | 2021-03-26 | 上海汽车集团股份有限公司 | Driving behavior evaluation method, device and storage medium |
CN112785845A (en) * | 2020-12-30 | 2021-05-11 | 桂林电子科技大学 | Vehicle speed prediction method based on K-means clustering and RBF neural network |
CN113246982A (en) * | 2021-04-01 | 2021-08-13 | 东风汽车集团股份有限公司 | Torque control method and device adaptive to driving style |
WO2021189210A1 (en) * | 2020-03-23 | 2021-09-30 | 华为技术有限公司 | Vehicle lane changing method and related device |
US20210323552A1 (en) * | 2020-06-29 | 2021-10-21 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Method, device, and medium for training longitudinal dynamics model |
CN113548036A (en) * | 2020-04-17 | 2021-10-26 | 广州汽车集团股份有限公司 | Engine output torque adjusting method and system and control equipment thereof |
-
2021
- 2021-10-27 CN CN202111253990.6A patent/CN114030476B/en active Active
Patent Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR950005616A (en) * | 1993-08-10 | 1995-03-20 | 나까무라 유이찌 | Vehicle driving operation estimation method and vehicle driving characteristic control method |
WO2007045787A1 (en) * | 2005-10-21 | 2007-04-26 | Peugeot Citroën Automobiles SA | Method for validating the measurement supplied by an accelerometer in a motor vehicle and use for estimating slope |
JP2008076130A (en) * | 2006-09-20 | 2008-04-03 | Toyota Motor Corp | Vehicle motion control device and calculation device for acceleration expectation value |
CN104334431A (en) * | 2012-06-05 | 2015-02-04 | 丰田自动车株式会社 | Driving characteristics estimation device and driver assistance system |
CN107031655A (en) * | 2015-10-15 | 2017-08-11 | 福特全球技术公司 | Determine the variance of unit weight of complicated highway section |
US20180257655A1 (en) * | 2017-03-07 | 2018-09-13 | Toyota Motor Engineering & Manufacturing North America, Inc. | Learning driver rate of pedal change |
DE102019114595A1 (en) * | 2018-08-07 | 2020-02-13 | GM Global Technology Operations LLC | INTELLIGENT VEHICLE NAVIGATION SYSTEMS, METHOD AND CONTROL LOGIC FOR DERIVING ROAD SECTION SPEED LIMITS |
CN111907530A (en) * | 2019-05-10 | 2020-11-10 | 广州汽车集团股份有限公司 | Vehicle acceleration response time adjusting method and system based on driving style recognition |
WO2021000853A1 (en) * | 2019-07-01 | 2021-01-07 | 长城汽车股份有限公司 | Braking control method and system and vehicle |
CN112550298A (en) * | 2019-09-26 | 2021-03-26 | 上海汽车集团股份有限公司 | Driving behavior evaluation method, device and storage medium |
WO2021189210A1 (en) * | 2020-03-23 | 2021-09-30 | 华为技术有限公司 | Vehicle lane changing method and related device |
CN113548036A (en) * | 2020-04-17 | 2021-10-26 | 广州汽车集团股份有限公司 | Engine output torque adjusting method and system and control equipment thereof |
CN111731312A (en) * | 2020-06-15 | 2020-10-02 | 苏州绿科智能机器人研究院有限公司 | Experimental system for extracting driving style characteristic parameters and driving style identification method |
US20210323552A1 (en) * | 2020-06-29 | 2021-10-21 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Method, device, and medium for training longitudinal dynamics model |
CN112785845A (en) * | 2020-12-30 | 2021-05-11 | 桂林电子科技大学 | Vehicle speed prediction method based on K-means clustering and RBF neural network |
CN113246982A (en) * | 2021-04-01 | 2021-08-13 | 东风汽车集团股份有限公司 | Torque control method and device adaptive to driving style |
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