CN116442966A - Auxiliary brake adjusting method and device, electronic equipment and storage medium - Google Patents

Auxiliary brake adjusting method and device, electronic equipment and storage medium Download PDF

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Publication number
CN116442966A
CN116442966A CN202310158596.7A CN202310158596A CN116442966A CN 116442966 A CN116442966 A CN 116442966A CN 202310158596 A CN202310158596 A CN 202310158596A CN 116442966 A CN116442966 A CN 116442966A
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CN
China
Prior art keywords
brake
driver
type
determining
auxiliary
Prior art date
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Pending
Application number
CN202310158596.7A
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Chinese (zh)
Inventor
韩亚凝
张建
刘秋铮
王御
洪日
姜洪伟
王珊
谢飞
张苏铁
李林润
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FAW Group Corp
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FAW Group Corp
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Publication date
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Priority to CN202310158596.7A priority Critical patent/CN116442966A/en
Publication of CN116442966A publication Critical patent/CN116442966A/en
Pending legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
    • B60T8/00—Arrangements for adjusting wheel-braking force to meet varying vehicular or ground-surface conditions, e.g. limiting or varying distribution of braking force
    • B60T8/17—Using electrical or electronic regulation means to control braking
    • B60T8/172—Determining control parameters used in the regulation, e.g. by calculations involving measured or detected parameters
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • 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
    • B60W2510/00—Input parameters relating to a particular sub-units
    • B60W2510/18—Braking system
    • B60W2510/182—Brake pressure, e.g. of fluid or between pad and disc
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2540/00—Input parameters relating to occupants
    • B60W2540/12—Brake pedal position
    • 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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  • Engineering & Computer Science (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mathematical Physics (AREA)
  • Regulating Braking Force (AREA)

Abstract

The invention discloses a brake auxiliary adjusting method, a brake auxiliary adjusting device, electronic equipment and a storage medium. The method comprises the following steps: acquiring brake behavior data of a driver, wherein the brake behavior data of the driver comprises brake pedal opening and closing degree and brake pipeline pressure; determining a brake type of the driver based on the brake pedal opening and closing degree and the brake line pressure; and determining a brake auxiliary parameter based on the brake type of the driver, wherein the brake auxiliary parameter is used for controlling an automatic brake auxiliary system. According to the technical scheme, the braking auxiliary parameters are automatically adjusted according to the braking behavior data of the driver, and the adaptability of the automatic braking auxiliary system and the driver is improved, so that the braking safety is improved.

Description

Auxiliary brake adjusting method and device, electronic equipment and storage medium
Technical Field
The invention relates to the technical field of intelligent driving, in particular to a brake auxiliary adjusting method, a brake auxiliary adjusting device, electronic equipment and a storage medium.
Background
With the development of intelligent driving technology, the application of automatic brake auxiliary technology is becoming wider and wider.
In the existing automatic braking auxiliary technology, the braking auxiliary parameters are fixed parameters, and cannot be adjusted adaptively according to drivers, so that the adaptability and the safety are poor.
Disclosure of Invention
The invention provides a brake auxiliary adjusting method, a device, electronic equipment and a storage medium, which are used for improving the adaptability of an automatic brake auxiliary system and a driver, so that the braking safety is improved.
According to an aspect of the present invention, there is provided a brake auxiliary adjusting method, including:
acquiring brake behavior data of a driver, wherein the brake behavior data of the driver comprises brake pedal opening and closing degree and brake pipeline pressure;
determining a brake type of the driver based on the brake pedal opening and closing degree and the brake line pressure;
and determining a brake auxiliary parameter based on the brake type of the driver, wherein the brake auxiliary parameter is used for controlling an automatic brake auxiliary system.
According to another aspect of the present invention, there is provided a brake auxiliary adjusting device comprising:
the system comprises a brake behavior data acquisition module, a brake control module and a control module, wherein the brake behavior data acquisition module is used for acquiring brake behavior data of a driver, and the brake behavior data of the driver comprises brake pedal opening and closing degree and brake pipeline pressure;
the brake type determining module is used for determining the brake type of the driver based on the brake pedal opening and closing degree and the brake pipeline pressure;
and the brake auxiliary parameter determining module is used for determining a brake auxiliary parameter based on the brake type of the driver, wherein the brake auxiliary parameter is used for controlling an automatic brake auxiliary system.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the brake assist adjustment method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute a brake assist adjustment method according to any one of the embodiments of the present invention.
According to the technical scheme, the brake pedal opening and closing degree and the brake pipeline pressure are acquired, so that the brake behavior data of a driver are acquired, the brake type of the driver is determined based on the brake pedal opening and closing degree and the brake pipeline pressure, the brake type of the driver is identified and classified, the brake auxiliary parameters are determined based on the brake type of the driver, the automatic adjustment of the brake auxiliary parameters is realized, and the adaptability of an automatic brake auxiliary system and the driver is improved, so that the brake safety is improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for assisting in adjusting a brake according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a brake assist adjustment method according to a second embodiment of the present invention;
FIG. 3 is a flow chart of a brake assist adjustment method according to a third embodiment of the present invention;
FIG. 4 is a schematic structural view of a brake auxiliary adjusting device according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device implementing a brake auxiliary adjustment method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise 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.
Example 1
Fig. 1 is a flowchart of a brake auxiliary adjustment method according to a first embodiment of the present invention, where the method may be implemented by a brake auxiliary adjustment device, and the brake auxiliary adjustment device may be implemented in hardware and/or software, for example, the brake auxiliary adjustment device may be configured in a vehicle terminal. As shown in fig. 1, the method includes:
s110, acquiring brake behavior data of a driver, wherein the brake behavior data of the driver comprise the opening and closing degree of a brake pedal and the pressure of a brake pipeline.
In this embodiment, the brake behavior data refers to brake data generated by a driver during braking, and may include a brake pedal opening and closing degree and a brake line pressure. The brake pedal opening and closing degree is used for representing the opening and closing degree of the brake pedal, and the brake pipeline pressure is used for representing the pressure in the brake pipeline.
For example, the brake behavior data of the driver in different scenarios may be collected multiple times. Specifically, the brake pedal opening and closing degree can be acquired through a pedal opening and closing degree sensor, and the pedal opening and closing degree sensor can be arranged at the position of the brake pedal; the brake line pressure is collected by a brake master cylinder pressure sensor, which may be disposed in the brake line.
S120, determining the braking type of the driver based on the opening and closing degree of the brake pedal and the brake pipeline pressure.
In the present embodiment, the brake type of the driver refers to the brake style type of the driver, and may include an aggressive type, a relaxed type, and the like. For example, a aggressive type indicates that the driver is stepping on the brake pedal faster, and a gentle type indicates that the driver is stepping on the brake pedal slower.
Specifically, the brake pedal opening and closing degree and the brake line pressure of each group can be classified, and the type with the highest frequency is used as the brake type of the driver.
S130, determining a brake auxiliary parameter based on the brake type of the driver, wherein the brake auxiliary parameter is used for controlling an automatic brake auxiliary system.
In this embodiment, the brake auxiliary parameter refers to a parameter for controlling the automatic brake auxiliary system, and may include, but is not limited to, an on time, a braking force, etc. of the automatic brake auxiliary system.
Specifically, the brake assist parameter may be adjusted according to the driver's brake type to adapt the automatic brake assist system to the driver's brake habits.
According to the technical scheme, the brake pedal opening and closing degree and the brake pipeline pressure are acquired, so that the brake behavior data of a driver are acquired, the brake type of the driver is determined based on the brake pedal opening and closing degree and the brake pipeline pressure, the brake type of the driver is identified and classified, the brake auxiliary parameters are determined based on the brake type of the driver, the automatic adjustment of the brake auxiliary parameters is realized, and the adaptability of an automatic brake auxiliary system and the driver is improved, so that the brake safety is improved.
Example two
Fig. 2 is a flowchart of a brake auxiliary adjusting method according to a second embodiment of the present invention, where the method according to the present embodiment may be combined with each of the alternatives in the brake auxiliary adjusting method provided in the foregoing embodiment. The auxiliary brake adjusting method provided by the embodiment is further optimized. Optionally, the determining the brake type of the driver based on the brake pedal opening and closing degree and the brake line pressure includes: respectively performing differential processing on the opening and closing degree of the brake pedal and the pressure of the brake pipeline to obtain the speed of the brake pedal and the supercharging speed; and clustering the brake pedal speed and the supercharging speed respectively, and determining the brake type of the driver based on a clustering result.
As shown in fig. 2, the method includes:
s210, acquiring brake behavior data of a driver, wherein the brake behavior data of the driver comprises a brake pedal opening degree and a brake pipeline pressure.
S220, respectively performing differential processing on the opening and closing degree of the brake pedal and the pressure of the brake pipeline to obtain the speed of the brake pedal and the supercharging speed.
Specifically, differential processing is carried out on the opening and closing degree of the brake pedal to obtain the speed of the brake pedal; and differentiating the brake pipeline pressure to obtain the supercharging speed.
S230, clustering the brake pedal speed and the supercharging speed respectively, and determining the brake type of the driver based on a clustering result.
Specifically, the brake pedal speeds in multiple braking actions of the driver can be clustered, one or more clustering center points can be obtained, and the braking type of the driver is determined according to the clustering center points. Wherein each cluster center point may represent a type of braking.
S240, determining a brake auxiliary parameter based on the brake type of the driver, wherein the brake auxiliary parameter is used for controlling an automatic brake auxiliary system.
In some alternative embodiments, the brake pedal speed and the boost speed are respectively clustered, and the brake type of the driver is determined based on the clustering result, including: K-Means clustering is carried out on the brake pedal speed and the supercharging speed respectively, and the brake type of a driver is determined based on the clustering result.
By way of example, K-Means clustering brake pedal speeds in 10000 brake actions collected may result in cluster centers of four classes A, B, C and D. Wherein A, B, C and D four grades represent aggressive, urgent, normal, moderate, respectively. And similarly, carrying out K-Means clustering on the supercharging speed in 10000 times of collected braking behaviors, and obtaining clustering center points of four grades of a, b, c and d. Wherein the four classes a, b, c and d represent the fastest, faster, slower and slowest, respectively. And further, the braking type of the driver can be determined from the clustering center points of the four grades A, B, C and D and the clustering center points of the four grades a, b, c and D.
In some alternative embodiments, K-Means clustering the brake pedal speed and the boost speed, respectively, and determining the brake type of the driver based on the clustering result includes: K-Means clustering is carried out on the brake pedal speed to obtain a first clustering result; K-Means clustering is carried out on the supercharging speed, and a second clustering result is obtained; and comparing the first clustering result with the second clustering result, and determining the braking type of the driver based on the comparison result.
Wherein the first clustering result may be a brake pedal speed level with the highest frequency of occurrence. The second classification result may be the most frequently occurring boost speed level.
For example, to ensure braking safety, a more aggressive level of brake pedal speed and boost speed may be selected as a basis for subsequent optimization of parameters of the automatic brake assist system. Specifically, if the level at which the frequency of occurrence of the brake pedal speed is highest is the B level and the level at which the frequency of occurrence of the supercharging speed is highest is the c level, it is determined that the brake type of the driver is the B level.
In some embodiments, the driver's braking behavior data also includes a user identification to distinguish between different drivers.
According to the technical scheme, the brake pedal opening and closing degree and the brake pipeline pressure are subjected to differential processing respectively to obtain the brake pedal speed and the supercharging speed, the brake pedal speed and the supercharging speed are clustered respectively, the brake type of a driver is determined based on a clustering result, and the identification and classification of the brake type of the driver are realized.
Example III
Fig. 3 is a flowchart of a brake auxiliary adjusting method according to a third embodiment of the present invention, where the method according to the present embodiment may be combined with each of the alternatives in the brake auxiliary adjusting method provided in the foregoing embodiment. The auxiliary brake adjusting method provided by the embodiment is further optimized. Optionally, the determining the brake auxiliary parameter based on the brake type of the driver includes: obtaining pre-configured mapping relation information, wherein the pre-configured mapping relation information comprises a mapping relation between a brake type and a brake auxiliary parameter; and determining the brake auxiliary parameter corresponding to the brake type of the driver based on the mapping relation between the brake type and the brake auxiliary parameter.
As shown in fig. 3, the method includes:
s310, acquiring brake behavior data of a driver, wherein the brake behavior data of the driver comprises the opening and closing degree of a brake pedal and the pressure of a brake pipeline.
S320, determining the braking type of the driver based on the opening and closing degree of the brake pedal and the brake pipeline pressure.
S330, obtaining pre-configured mapping relation information, wherein the pre-configured mapping relation information comprises a mapping relation between a brake type and a brake auxiliary parameter.
S340, determining the brake auxiliary parameter corresponding to the brake type of the driver based on the mapping relation between the brake type and the brake auxiliary parameter.
In this embodiment, the pre-configured mapping relationship information includes a mapping relationship between a brake type and a brake auxiliary parameter. The starting time of the automatic braking auxiliary system corresponding to the brake type A level is T1, and the braking force generated by automatic braking auxiliary is N1; the starting time of the automatic braking auxiliary system corresponding to the braking type D level is T2, and the braking force generated by automatic braking auxiliary is N2, wherein T1 is smaller than T2, and N1 is larger than N2. It can be appreciated that if the brake type is class a, the automatic brake assist system will be started in advance, i.e. at a greater distance from the obstacle; and adopts the braking force with the maximum intensity to carry out automatic braking assistance. If the braking type is D level, the starting time of the automatic braking auxiliary system is delayed, namely, the automatic braking auxiliary system starts to intervene when the automatic braking auxiliary system is slightly close to the obstacle, and the automatic braking auxiliary system adopts a braking force with weaker strength to perform automatic braking auxiliary.
In some embodiments, the default automatic brake assist system is class C in braking type at the time the vehicle leaves the factory.
According to the technical scheme provided by the embodiment of the invention, the mapping relation between the braking type and the braking auxiliary parameter is obtained, so that the braking auxiliary parameter corresponding to the braking type of the driver is determined based on the mapping relation between the braking type and the braking auxiliary parameter, the automatic adjustment of the braking auxiliary parameter is realized, and the adaptability of the automatic braking auxiliary system and the driver is improved.
Example IV
Fig. 4 is a schematic structural diagram of a brake auxiliary adjusting device according to a fourth embodiment of the present invention. As shown in fig. 4, the apparatus includes:
a brake behavior data acquisition module 410, configured to acquire brake behavior data of a driver, where the brake behavior data of the driver includes a brake pedal opening degree and a brake line pressure;
a brake type determination module 420 for determining a brake type of the driver based on the brake pedal opening and closing degree and the brake line pressure;
a brake assist parameter determination module 430 for determining a brake assist parameter based on the driver's brake type, wherein the brake assist parameter is used to control an automatic brake assist system.
According to the technical scheme, the brake pedal opening and closing degree and the brake pipeline pressure are acquired, so that the brake behavior data of a driver are acquired, the brake type of the driver is determined based on the brake pedal opening and closing degree and the brake pipeline pressure, the brake type of the driver is identified and classified, the brake auxiliary parameters are determined based on the brake type of the driver, the automatic adjustment of the brake auxiliary parameters is realized, and the adaptability of an automatic brake auxiliary system and the driver is improved, so that the brake safety is improved.
In some alternative embodiments, the brake type determination module 420 includes:
the differential processing unit is used for respectively carrying out differential processing on the opening and closing degree of the brake pedal and the pressure of the brake pipeline to obtain the speed of the brake pedal and the supercharging speed;
and the clustering processing unit is used for clustering the brake pedal speed and the supercharging speed respectively and determining the brake type of the driver based on a clustering result.
In some alternative embodiments, the clustering processing unit includes:
and the K-Means clustering subunit is used for respectively carrying out K-Means clustering on the brake pedal speed and the supercharging speed, and determining the brake type of the driver based on a clustering result.
In some alternative embodiments, the K-Means clustering subunit is specifically configured to:
K-Means clustering is carried out on the brake pedal speed to obtain a first clustering result;
K-Means clustering is carried out on the supercharging speed, and a second clustering result is obtained;
and comparing the first clustering result with the second clustering result, and determining the braking type of the driver based on the comparison result.
In some alternative embodiments, the brake assistance parameter determination module 430 is specifically configured to:
obtaining pre-configured mapping relation information, wherein the pre-configured mapping relation information comprises a mapping relation between a brake type and a brake auxiliary parameter;
and determining the brake auxiliary parameter corresponding to the brake type of the driver based on the mapping relation between the brake type and the brake auxiliary parameter.
In some alternative embodiments, the brake assist parameters include automatic brake assist system on time and braking force.
In some alternative embodiments, the braking performance data acquisition module 410 is specifically configured to:
collecting the opening and closing degree of a brake pedal through a pedal opening and closing degree sensor;
and collecting the pressure of the brake pipeline through a brake master cylinder pressure sensor.
The auxiliary brake adjusting device provided by the embodiment of the invention can execute the auxiliary brake adjusting method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example five
Fig. 5 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices (e.g., helmets, eyeglasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An I/O interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a brake assist adjustment method, which includes:
acquiring brake behavior data of a driver, wherein the brake behavior data of the driver comprises brake pedal opening and closing degree and brake pipeline pressure;
determining a brake type of the driver based on the brake pedal opening and closing degree and the brake line pressure;
and determining a brake auxiliary parameter based on the brake type of the driver, wherein the brake auxiliary parameter is used for controlling an automatic brake auxiliary system.
In some embodiments, the brake assist adjustment method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more of the steps of the brake assist adjustment method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the brake assist adjustment method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. A method of auxiliary brake adjustment, comprising:
acquiring brake behavior data of a driver, wherein the brake behavior data of the driver comprises brake pedal opening and closing degree and brake pipeline pressure;
determining a brake type of the driver based on the brake pedal opening and closing degree and the brake line pressure;
and determining a brake auxiliary parameter based on the brake type of the driver, wherein the brake auxiliary parameter is used for controlling an automatic brake auxiliary system.
2. The method of claim 1, wherein the determining the driver's brake type based on the brake pedal opening and closing degree and the brake line pressure comprises:
respectively performing differential processing on the opening and closing degree of the brake pedal and the pressure of the brake pipeline to obtain the speed of the brake pedal and the supercharging speed;
and clustering the brake pedal speed and the supercharging speed respectively, and determining the brake type of the driver based on a clustering result.
3. The method of claim 2, wherein the clustering the brake pedal speed and the boost speed, respectively, and determining the brake type of the driver based on the clustering result comprises:
and respectively carrying out K-Means clustering on the brake pedal speed and the supercharging speed, and determining the brake type of the driver based on a clustering result.
4. A method according to claim 3, wherein the K-Means clustering the brake pedal speed and the boost speed, respectively, and determining the brake type of the driver based on the clustering result comprises:
K-Means clustering is carried out on the brake pedal speed to obtain a first clustering result;
K-Means clustering is carried out on the supercharging speed, and a second clustering result is obtained;
and comparing the first clustering result with the second clustering result, and determining the braking type of the driver based on the comparison result.
5. The method of claim 1, wherein the determining a brake assist parameter based on the driver's brake type comprises:
obtaining pre-configured mapping relation information, wherein the pre-configured mapping relation information comprises a mapping relation between a brake type and a brake auxiliary parameter;
and determining the brake auxiliary parameter corresponding to the brake type of the driver based on the mapping relation between the brake type and the brake auxiliary parameter.
6. The method of claim 1, wherein the brake assist parameters include an automatic brake assist system on time and a braking force.
7. The method of claim 1, wherein the obtaining brake performance data of the driver, wherein the brake performance data of the driver includes brake pedal opening and closing and brake line pressure, comprises:
collecting the opening and closing degree of a brake pedal through a pedal opening and closing degree sensor;
and collecting the pressure of the brake pipeline through a brake master cylinder pressure sensor.
8. A brake assist adjustment device, comprising:
the system comprises a brake behavior data acquisition module, a brake control module and a control module, wherein the brake behavior data acquisition module is used for acquiring brake behavior data of a driver, and the brake behavior data of the driver comprises brake pedal opening and closing degree and brake pipeline pressure;
the brake type determining module is used for determining the brake type of the driver based on the brake pedal opening and closing degree and the brake pipeline pressure;
and the brake auxiliary parameter determining module is used for determining a brake auxiliary parameter based on the brake type of the driver, wherein the brake auxiliary parameter is used for controlling an automatic brake auxiliary system.
9. An electronic device, the electronic device comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the brake assist adjustment method of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to perform the brake assist adjustment method according to any one of claims 1-7.
CN202310158596.7A 2023-02-23 2023-02-23 Auxiliary brake adjusting method and device, electronic equipment and storage medium Pending CN116442966A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310158596.7A CN116442966A (en) 2023-02-23 2023-02-23 Auxiliary brake adjusting method and device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310158596.7A CN116442966A (en) 2023-02-23 2023-02-23 Auxiliary brake adjusting method and device, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN116442966A true CN116442966A (en) 2023-07-18

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310158596.7A Pending CN116442966A (en) 2023-02-23 2023-02-23 Auxiliary brake adjusting method and device, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN116442966A (en)

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