CN113734165A - Adaptive cruise method, system, device, and medium based on real-time weight detection - Google Patents
Adaptive cruise method, system, device, and medium based on real-time weight detection Download PDFInfo
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- CN113734165A CN113734165A CN202111125966.4A CN202111125966A CN113734165A CN 113734165 A CN113734165 A CN 113734165A CN 202111125966 A CN202111125966 A CN 202111125966A CN 113734165 A CN113734165 A CN 113734165A
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- 230000003044 adaptive effect Effects 0.000 title claims abstract description 59
- 238000001514 detection method Methods 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000011897 real-time detection Methods 0.000 claims abstract description 17
- 238000010276 construction Methods 0.000 claims abstract description 4
- 238000005303 weighing Methods 0.000 claims description 8
- 230000008859 change Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
- 238000013500 data storage Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/14—Adaptive cruise control
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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
- B60W2530/00—Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
- B60W2530/10—Weight
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- Engineering & Computer Science (AREA)
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- Transportation (AREA)
- Mechanical Engineering (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a self-adaptive cruise method, a system, equipment and a medium based on real-time weight detection. The self-adaptive cruise method based on real-time weight detection comprises the following steps: acquiring the real-time weight of the carriage obtained by current real-time detection; constructing an adaptive cruise model by taking the real-time weight of the carriage as a factor; and controlling the vehicle to cruise adaptively based on the adaptive cruise model. An adaptive cruise system based on real-time weight detection, comprising: the detection module is used for acquiring the real-time weight of the carriage obtained by current real-time detection; the construction module is used for constructing an adaptive cruise model by taking the real-time weight of the carriage as a factor; and the control module is used for controlling the vehicle to cruise adaptively based on the adaptive cruise model. The invention also discloses equipment and a medium for realizing the self-adaptive cruise method based on the real-time weight detection.
Description
Technical Field
The invention relates to the technical field of vehicle adaptive cruise, in particular to an adaptive cruise method, an adaptive cruise system, adaptive cruise equipment and an adaptive cruise medium based on real-time weight detection.
Background
The adaptive cruise system (ACC) can also be called as active cruise, and is an intelligent automatic control system, and the adaptive cruise system replaces a driver to control the speed of the vehicle, so that frequent cancellation and setting of cruise control are avoided, the cruise system is suitable for more road conditions, and a more relaxed driving mode is provided for the driver.
The self-adaptive cruise system of the current truck lacks judgment based on real-time weight detection, so that the following distance of the self-adaptive cruise system is not accurate enough, the safety of the self-adaptive cruise of the truck is poor, and further improvement is needed.
Disclosure of Invention
In view of the foregoing, it is an object of the present invention to provide an adaptive cruise method, system, device and medium based on real-time weight detection.
In a first aspect, the present invention provides an adaptive cruise method based on real-time weight detection, comprising:
acquiring the real-time weight of the carriage obtained by current real-time detection;
constructing an adaptive cruise model by taking the real-time weight of the carriage as a factor;
and controlling the vehicle to cruise adaptively based on the adaptive cruise model.
In an embodiment of the foregoing technical solution, the acquiring a current real-time weight of a carriage obtained by real-time detection includes:
and acquiring the real-time weight of the carriage obtained by the current real-time detection of a weighing element arranged between the carriage and the chassis of the vehicle.
In an embodiment of the foregoing technical solution, the constructing an adaptive cruise model using the real-time weight of the car as a factor includes:
acquiring a current speed and a current ACC following distance;
calculating to obtain a current safe braking distance based on the current vehicle speed and the real-time weight of the carriage;
and comparing the current safe braking distance with the current ACC vehicle following distance to obtain a new ACC vehicle following distance.
In one embodiment of the above technical solution, the comparing the current safe braking distance with the current ACC vehicle following distance to obtain a new ACC vehicle following distance includes:
if the current safe braking distance is larger than the current ACC vehicle following distance, taking the current safe braking distance as the new ACC vehicle following distance;
and if the current safe braking distance is smaller than or equal to the current ACC following distance, taking the current ACC following distance as the new ACC following distance.
In one embodiment, the controlling vehicle adaptive cruise based on the adaptive cruise model includes:
and controlling the vehicle to adaptively cruise based on the new ACC following distance.
In a second aspect, the present invention provides an adaptive cruise system based on real-time weight detection, comprising:
the detection module is used for acquiring the real-time weight of the carriage obtained by current real-time detection;
the construction module is used for constructing an adaptive cruise model by taking the real-time weight of the carriage as a factor;
and the control module is used for controlling the vehicle to cruise adaptively based on the adaptive cruise model.
In a third aspect, the present invention provides an apparatus comprising:
a memory for storing one or more programs;
a processor for executing the program stored in the memory to implement the real-time weight detection based adaptive cruise method according to any of the above.
In a fourth aspect, the present invention also provides a computer readable storage medium storing at least one program which, when executed by a processor, implements the adaptive cruise method based on real-time weight detection as defined in any one of the above.
Compared with the prior art, the self-adaptive cruise method, the system, the equipment and the medium based on the real-time weight detection construct the self-adaptive cruise model by acquiring the real-time weight of the carriage obtained by the current real-time detection and taking the real-time weight of the carriage as a factor, control the self-adaptive cruise of the vehicle based on the self-adaptive cruise model, and improve the prior self-adaptive cruise system of the vehicle by taking the real-time weight of the carriage obtained by the detection as the factor of the self-adaptive cruise model, thereby improving the safety of the self-adaptive cruise of the truck and reducing the occurrence of safety accidents.
For a better understanding and practice, the invention is described in detail below with reference to the accompanying drawings.
Drawings
FIG. 1 is an exemplary flow diagram of the real-time weight detection based adaptive cruise method of the present invention.
FIG. 2 is an exemplary flow diagram for constructing an adaptive cruise model using the real-time weight of the car as a factor.
FIG. 3 is an exemplary block diagram of the real-time weight detection based adaptive cruise system of the present invention.
Detailed Description
The terms of orientation of up, down, left, right, front, back, top, bottom, and the like, referred to or may be referred to in this specification, are defined relative to their configuration, and are relative concepts. Therefore, it may be changed according to different positions and different use states. Therefore, these and other directional terms should not be construed as limiting terms.
The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, fig. 1 is a block diagram illustrating an exemplary process of an adaptive cruise method based on real-time weight detection according to the present invention.
In a first aspect, the present invention provides an adaptive cruise method based on real-time weight detection, which may be implemented by an automobile management device, and specifically includes:
Specifically, in step 101, the obtaining of the current real-time weight of the carriage obtained by the real-time detection includes:
and acquiring the real-time weight of the carriage obtained by the current real-time detection of a weighing element arranged between the carriage and the chassis of the vehicle.
In particular, a weighing element, which may be a pressure sensor such as a strain gauge, is mounted between the carriage and the chassis.
The weighing elements can be further preferably arranged on the left side and the right side of the vehicle chassis, so that the acquired real-time weight of the carriage is more accurate.
In addition, an overweight alarm function can be added according to the real-time weight of the carriage, so that a driver is reminded that the carriage is overweight and needs to unload a part of cargoes.
And 102, constructing an adaptive cruise model by taking the real-time weight of the carriage as a factor.
Specifically, referring to fig. 2, in step 102, the constructing an adaptive cruise model by using the real-time weight of the car as a factor includes:
and step 1021, acquiring the current speed and the current ACC following distance.
In specific implementation, the current speed can be obtained through vehicle central control, signals are obtained through equipment such as a radar or a camera, and therefore the current ACC vehicle-following distance is further calculated.
And 1022, calculating to obtain the current safe braking distance based on the current vehicle speed and the real-time weight of the carriage.
If the current safe braking distance is S, the current vehicle speed is V and the friction coefficient is mu, the current safe braking distance S is V2/2gμ，(g＝9.8m/s2)。
The change of the real-time weight of the carriage can influence the contact area between the tire and the ground, and further influence the friction coefficient mu, so that the current safe braking distance S is influenced.
In order to obtain the relationship between the change in the weight of the vehicle cabin and the friction coefficient, it is necessary to perform a plurality of tests in advance to obtain a table of the relationship between the friction coefficient μ and the change in the weight of the vehicle cabin.
And when the detected real-time weight of the carriage is matched with a certain carriage weight range in the carriage weight change relation table, correspondingly obtaining the friction coefficient mu for calculating the current safe braking distance S.
And step 1023, comparing the current safe braking distance with the current ACC vehicle following distance to obtain a new ACC vehicle following distance.
Specifically, in step 1023, the step of comparing the current safe braking distance with the current ACC vehicle following distance to obtain a new ACC vehicle following distance includes:
step 10231, if the current safe braking distance is larger than the current ACC vehicle following distance, taking the current safe braking distance as the new ACC vehicle following distance;
and step 10232, if the current safe braking distance is smaller than or equal to the current ACC following distance, taking the current ACC following distance as the new ACC following distance.
And 103, controlling the vehicle to cruise adaptively based on the adaptive cruise model.
Specifically, the step 103 of controlling the vehicle adaptive cruise based on the adaptive cruise model includes:
and controlling the vehicle to adaptively cruise based on the new ACC following distance.
It should be appreciated that other adaptive cruise parameters and modes of the vehicle remain unchanged while the vehicle is adaptively cruise controlled using the new ACC vehicle following distance.
Referring to FIG. 3, FIG. 3 is an exemplary block diagram of the adaptive cruise system based on real-time weight detection according to the present invention.
In a second aspect, based on the same inventive concept, the present invention provides an adaptive cruise system based on real-time weight detection, comprising:
the detection module S1 is used for acquiring the real-time weight of the carriage obtained by current real-time detection;
a construction module S2, configured to construct an adaptive cruise model using the real-time weight of the car as a factor;
and a control module S3 for controlling adaptive cruise of the vehicle based on the adaptive cruise model.
In a specific implementation, the detection module S1 may be configured to implement:
and acquiring the real-time weight of the carriage obtained by the current real-time detection of a weighing element arranged between the carriage and the chassis of the vehicle.
In particular, a weighing element, which may be a pressure sensor such as a strain gauge, is mounted between the carriage and the chassis.
The weighing elements can be further preferably arranged on the left side and the right side of the vehicle chassis, so that the acquired real-time weight of the carriage is more accurate.
In a specific implementation, the building module S2 may be configured to implement:
a. and acquiring the current speed and the current ACC following distance.
In specific implementation, the current speed can be obtained through vehicle central control, signals are obtained through equipment such as a radar or a camera, and therefore the current ACC vehicle-following distance is further calculated.
b. And calculating to obtain the current safe braking distance based on the current vehicle speed and the real-time weight of the carriage.
If the current safe braking distance is S, the current vehicle speed is V and the friction coefficient is mu, the current safe braking distance S is V2/2gμ，(g＝9.8m/s2)。
The change of the real-time weight of the carriage can influence the contact area between the tire and the ground, and further influence the friction coefficient, so that the current safe braking distance S is influenced.
In order to obtain the relationship between the change in the weight of the vehicle cabin and the friction coefficient, it is necessary to perform a plurality of tests in advance to obtain a table of the relationship between the friction coefficient μ and the change in the weight of the vehicle cabin.
And when the detected real-time weight of the carriage is matched with a certain carriage weight range in the carriage weight change relation table, correspondingly obtaining the friction coefficient mu for calculating the current safe braking distance S.
c. And comparing the current safe braking distance with the current ACC vehicle following distance to obtain a new ACC vehicle following distance.
Specifically, the building module S2 may be further configured to implement:
if the current safe braking distance is larger than the current ACC vehicle following distance, taking the current safe braking distance as the new ACC vehicle following distance;
and if the current safe braking distance is smaller than or equal to the current ACC following distance, taking the current ACC following distance as the new ACC following distance.
In particular implementation, the control module S3 may be configured to implement:
and controlling the vehicle to adaptively cruise based on the new ACC following distance.
In a third aspect, based on the same inventive concept, the present invention provides an apparatus comprising:
a memory for storing one or more programs;
a processor for executing the program stored in the memory to implement the real-time weight detection based adaptive cruise method as described.
The device may also preferably include a communication interface for communicating with external devices and for interactive transmission of data.
It should be noted that the memory may include a high-speed RAM memory, and may also include a nonvolatile memory (nonvolatile memory), such as at least one disk memory.
In a specific implementation, if the memory, the processor and the communication interface are integrated on a chip, the memory, the processor and the communication interface can complete mutual communication through the internal interface. If the memory, the processor and the communication interface are implemented independently, the memory, the processor and the communication interface may be connected to each other through a bus and perform communication with each other.
In a fourth aspect, based on the same inventive concept, the invention also provides a computer readable storage medium storing at least one program which, when executed by a processor, implements the adaptive cruise method based on real-time weight detection as described.
It should be appreciated that the computer-readable storage medium is any data storage device that can store data or programs which can thereafter be read by a computer system. Examples of the computer readable storage medium include read-only memory, random-access memory, CD-ROMs, HDDs, DVDs, magnetic tapes, optical data storage devices, and the like. The computer readable storage medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
In some embodiments, the computer-readable storage medium may be non-transitory.
Compared with the prior art, the self-adaptive cruise method, the system, the equipment and the medium based on the real-time weight detection construct the self-adaptive cruise model by acquiring the real-time weight of the carriage obtained by the current real-time detection and taking the real-time weight of the carriage as a factor, control the self-adaptive cruise of the vehicle based on the self-adaptive cruise model, and improve the prior self-adaptive cruise system of the vehicle by taking the real-time weight of the carriage obtained by the detection as the factor of the self-adaptive cruise model, thereby improving the safety of the self-adaptive cruise of the truck and reducing the occurrence of safety accidents.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (8)
1. An adaptive cruise method based on real-time weight detection is characterized by comprising the following steps:
acquiring the real-time weight of the carriage obtained by current real-time detection;
constructing an adaptive cruise model by taking the real-time weight of the carriage as a factor;
and controlling the vehicle to cruise adaptively based on the adaptive cruise model.
2. The adaptive cruise based on real-time weight detection according to claim 1, wherein said obtaining the real-time weight of the car obtained by the current real-time detection comprises:
and acquiring the real-time weight of the carriage obtained by the current real-time detection of a weighing element arranged between the carriage and the chassis of the vehicle.
3. The adaptive cruise based on real-time weight detection according to claim 2, wherein said building an adaptive cruise model using said real-time weight of said car as a factor, comprises:
acquiring a current speed and a current ACC following distance;
calculating to obtain a current safe braking distance based on the current vehicle speed and the real-time weight of the carriage;
and comparing the current safe braking distance with the current ACC vehicle following distance to obtain a new ACC vehicle following distance.
4. The real-time weight detection based adaptive cruise according to claim 3, wherein said comparing the current safe braking distance with the current ACC following distance to obtain a new ACC following distance comprises:
if the current safe braking distance is larger than the current ACC vehicle following distance, taking the current safe braking distance as the new ACC vehicle following distance;
and if the current safe braking distance is smaller than or equal to the current ACC following distance, taking the current ACC following distance as the new ACC following distance.
5. The adaptive cruise based on real-time weight detection according to claim 4, wherein said controlling vehicle adaptive cruise based on said adaptive cruise model comprises:
and controlling the vehicle to adaptively cruise based on the new ACC following distance.
6. An adaptive cruise system based on real-time weight detection, comprising:
the detection module is used for acquiring the real-time weight of the carriage obtained by current real-time detection;
the construction module is used for constructing an adaptive cruise model by taking the real-time weight of the carriage as a factor;
and the control module is used for controlling the vehicle to cruise adaptively based on the adaptive cruise model.
7. An apparatus, comprising:
a memory for storing one or more programs;
a processor for executing the program stored in the memory to implement the real-time weight detection based adaptive cruise method according to any of claims 1-5.
8. A computer-readable storage medium storing at least one program, which when executed by a processor implements the adaptive cruise method based on real-time weight detection according to any of claims 1-5.
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| CN202111125966.4A CN113734165B (en) | 2021-09-24 | 2021-09-24 | Self-adaptive cruising method, system, equipment and medium based on real-time weight detection |
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| CN202111125966.4A CN113734165B (en) | 2021-09-24 | 2021-09-24 | Self-adaptive cruising method, system, equipment and medium based on real-time weight detection |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104925058A (en) * | 2014-03-17 | 2015-09-23 | 福特全球技术公司 | Vehicle with mass and grade responsive cruise control |
| US20180105172A1 (en) * | 2016-10-13 | 2018-04-19 | Denso International America, Inc. | Advanced driver assistance system |
| US20200039514A1 (en) * | 2017-03-31 | 2020-02-06 | Connaught Electronics Ltd. | Distance control for a vehicle with trailer |
| CN111038504A (en) * | 2019-11-27 | 2020-04-21 | 苏州智加科技有限公司 | Vehicle adaptive cruise control method, device, vehicle and storage medium |
| CN111038503A (en) * | 2019-11-27 | 2020-04-21 | 苏州智加科技有限公司 | Vehicle adaptive cruise control method, device, vehicle and storage medium |
| US20210039679A1 (en) * | 2019-08-09 | 2021-02-11 | Hyundai Motor Company | Apparatus for controlling an autonomous vehicle, system including the same, and method for the same |
-
2021
- 2021-09-24 CN CN202111125966.4A patent/CN113734165B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104925058A (en) * | 2014-03-17 | 2015-09-23 | 福特全球技术公司 | Vehicle with mass and grade responsive cruise control |
| US20180105172A1 (en) * | 2016-10-13 | 2018-04-19 | Denso International America, Inc. | Advanced driver assistance system |
| US20200039514A1 (en) * | 2017-03-31 | 2020-02-06 | Connaught Electronics Ltd. | Distance control for a vehicle with trailer |
| US20210039679A1 (en) * | 2019-08-09 | 2021-02-11 | Hyundai Motor Company | Apparatus for controlling an autonomous vehicle, system including the same, and method for the same |
| CN111038504A (en) * | 2019-11-27 | 2020-04-21 | 苏州智加科技有限公司 | Vehicle adaptive cruise control method, device, vehicle and storage medium |
| CN111038503A (en) * | 2019-11-27 | 2020-04-21 | 苏州智加科技有限公司 | Vehicle adaptive cruise control method, device, vehicle and storage medium |
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