Vehicle brake lining life prediction method, device and equipment

Abstract

The embodiments of the present disclosure provide a method, device and apparatus for predicting the life of a vehicle brake lining. The method comprises: monitoring the current wear amount of the brake lining; obtaining vehicle operation data; and predicting the life of the brake lining according to the current wear amount and the vehicle operation data. In this way, continuous monitoring of the life cycle wear of the vehicle brake lining can be achieved to accurately predict the life of the brake lining.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicles, and in particular to the technical field of life prediction of vehicle brake linings. Background Art

[0002] The life of a vehicle's brake lining usually refers to the remaining wear of the brake lining. At the same time, as users' requirements for vehicle health experience continue to increase, the demand for continuous acquisition of the wear status of vehicle brake linings is also increasing. However, at present, there is no complete method for continuous monitoring of the wear of vehicle brake linings throughout their life cycle, which makes it impossible to accurately predict the life of brake linings. Summary of the invention

[0003] The present disclosure provides a method, device, equipment and storage medium for predicting the life of a vehicle brake lining.

[0004] According to a first aspect of the present disclosure, a method for predicting the life of a vehicle brake lining is provided. The method comprises:

[0005] Monitor the current wear of the brake linings;

[0006] Obtain vehicle operation data;

[0007] The life of the brake lining is predicted according to the current wear amount and the vehicle operation data.

[0008] According to the above aspects and any possible implementation, there is further provided an implementation, wherein monitoring the current wear amount of the brake lining comprises:

[0009] Determining the current wear amount according to the current monitored by the wear sensor;

[0010] The predicting of the life of the brake lining according to the current wear amount and the vehicle operation data includes:

[0011] If the current wear amount reaches a preset wear amount, the life of the brake lining is predicted according to the current wear amount and the vehicle operation data.

[0012] According to the above aspects and any possible implementation manner, an implementation manner is further provided, if the current wear amount reaches a preset wear amount, the life of the brake lining is predicted according to the current wear amount and the vehicle operation data, including:

[0013] evaluating the wear amount of the brake lining according to the vehicle operation data to obtain an estimated wear amount;

[0014] If the current wear amount reaches the preset wear amount, matching the preset wear amount with the estimated wear amount;

[0015] If the two do not match, the estimated wear amount is corrected using the preset wear amount to obtain the predicted wear amount of the brake lining.

[0016] According to the above aspects and any possible implementation, there is further provided an implementation, wherein the preset wear amount includes a plurality of;

[0017] The method further comprises:

[0018] If the current wear amount reaches any one of a plurality of preset wear amounts, an early warning is issued.

[0019] According to the above aspects and any possible implementation, an implementation is further provided.

[0020] Before predicting the life of the brake lining according to the current wear amount and the vehicle operation data, the method further includes:

[0021] predicting a current surface temperature of the brake lining according to the vehicle operation data;

[0022] The estimated wear amount of the brake lining is calculated according to the current surface temperature and the wear rates at different temperatures.

[0023] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein obtaining vehicle operation data includes:

[0024] At least one piece of information of vehicle speed, brake master cylinder pressure, wheel cylinder pressure, ambient temperature and vehicle mileage is obtained through the vehicle bus.

[0025] According to the above aspects and any possible implementation, there is further provided an implementation, wherein the brake lining comprises a plurality of;

[0026] The plurality of brake linings are respectively installed on the inner side of the front axle of the vehicle, the outer side of the front axle of the vehicle, the inner side of the rear axle of the vehicle, and the outer side of the rear axle of the vehicle.

[0027] According to a second aspect of the present disclosure, a life prediction device for a vehicle brake lining is provided. The device comprises:

[0028] A monitoring module for monitoring the current wear of the brake lining;

[0029] An acquisition module, used to acquire vehicle operation data;

[0030] A prediction module is used to predict the life of the brake lining according to the current wear amount and the vehicle operation data.

[0031] According to a third aspect of the present disclosure, an electronic device is provided, which includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, the method described above is implemented.

[0032] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method according to the first aspect of the present disclosure is implemented.

[0033] In the present disclosure, since the vehicle operation data is closely related to the wear of the brake lining, and the wear is closely related to the life, the life of the brake lining can be automatically predicted based on the current wear and vehicle operation data. The vehicle operation data is real-time, and therefore, the prediction of the life of the brake lining is also real-time. In this way, continuous monitoring of the life cycle wear of the vehicle brake lining can be achieved, and the life of the brake lining can be accurately predicted.

[0034] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, among which:

[0036] Figure 1 A flow chart showing a method for predicting the life of a vehicle brake lining according to an embodiment of the present disclosure is shown;

[0037] Figure 2 A flowchart showing another method for predicting the life of a vehicle brake lining according to an embodiment of the present disclosure is shown;

[0038] Figure 3 A schematic diagram showing a principle of a vehicle brake lining according to an embodiment of the present disclosure is shown;

[0039] Figure 4 A block diagram showing a life prediction device for a vehicle brake lining according to an embodiment of the present disclosure;

[0040] Figure 5 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0042] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0043] Figure 1 A flow chart of a method 300 for processing a message according to an embodiment of the present disclosure is shown. The method 100 may include:

[0044] Step 110, monitoring the current wear amount of the brake lining;

[0045] Brake linings are the backing of a brake pad, the friction braking material that fits onto the backing plate of the brake pad.

[0046] Step 120, obtaining vehicle operation data;

[0047] The vehicle operation data includes, but is not limited to, at least one of the following information: vehicle speed, brake master cylinder pressure, wheel cylinder pressure, ambient temperature, and vehicle mileage.

[0048] Step 130, predicting the life of the brake lining according to the current wear amount and the vehicle operation data. The final wear amount of the brake lining can be determined according to the current wear amount and the vehicle operation data, and then the current thickness of the brake lining can be calculated according to the final wear amount and the initial thickness of the brake lining, and then the remaining life of the brake lining can be determined according to the corresponding relationship between the thickness and life of the brake lining.

[0049] Since the vehicle operation data is closely related to the wear of the brake lining, and the wear is closely related to the life, the life of the brake lining can be automatically predicted based on the current wear and vehicle operation data. The vehicle operation data is real-time, so the prediction of the brake lining life is also real-time. In this way, continuous monitoring of the life cycle wear of the vehicle brake lining can be achieved, and the life of the brake lining can be accurately predicted.

[0050] In some embodiments, monitoring the current wear amount of the brake lining includes:

[0051] Determining the current wear amount according to the current monitored by the wear sensor;

[0052] The predicting of the life of the brake lining according to the current wear amount and the vehicle operation data includes:

[0053] If the current wear amount reaches a preset wear amount, the life of the brake lining is predicted according to the current wear amount and the vehicle operation data.

[0054] Wear sensors such as Figure 3 As shown, Figure 3 1 is the brake lining, 2 is the wear sensor, 3 is the wear sensor ECU (Electronic Control Unit), and 4 is a resistor. Through two or three or more parallel resistors, when the brake lining is worn to a certain threshold, that is, a certain resistor is worn away by the brake lining and the circuit is short-circuited, the brake lining ECU can determine the wear state of the brake lining, that is, the current wear amount, by changing the current.

[0055] If the current wear amount reaches the preset wear amount, the life of the brake lining is automatically and accurately predicted in real time according to the current wear amount and the vehicle operation data.

[0056] In some embodiments, if the current wear amount reaches a preset wear amount, the life of the brake lining is predicted according to the current wear amount and the vehicle operation data, including:

[0057] evaluating the wear amount of the brake lining according to the vehicle operation data to obtain an estimated wear amount;

[0058] If the current wear amount reaches the preset wear amount, matching the preset wear amount with the estimated wear amount;

[0059] If the two do not match, the estimated wear amount is corrected using the preset wear amount to obtain the predicted wear amount of the brake lining.

[0060] Based on the vehicle operation data, the wear of the brake lining can be evaluated to obtain an evaluated wear amount. Then, if the current wear amount reaches a preset wear amount, the preset wear amount is compared with the evaluated wear amount to determine whether the preset wear amount and the evaluated wear amount match. If the difference between the two is not large, they match. Otherwise, if the difference between the two is too large, they do not match. The preset wear amount is used to correct the evaluated wear amount to obtain the predicted wear amount of the brake lining.

[0061] Correcting the estimated wear amount using the preset wear amount may be performed as follows:

[0062] The estimated wear amount and the preset wear amount are weightedly summed to obtain the final wear amount;

[0063] The estimated wear amount is used to replace the preset wear amount to obtain the final wear amount.

[0064] In some embodiments, the preset wear amount includes a plurality of;

[0065] The method further comprises:

[0066] If the current wear amount reaches any one of a plurality of preset wear amounts, an early warning is issued.

[0067] If the current wear amount reaches any one of a plurality of preset wear amounts, an early warning is issued to remind the vehicle user and provide a general understanding of the use of the brake lining.

[0068] In some embodiments, before predicting the life of the brake lining according to the current wear amount and the vehicle operation data, the method further includes:

[0069] predicting a current surface temperature of the brake lining according to the vehicle operation data;

[0070] The estimated wear amount of the brake lining is calculated according to the current surface temperature and the wear rates at different temperatures.

[0071] During vehicle operation, kinetic energy is converted into heat energy during braking, and the heat energy will be absorbed by components such as brake linings. Therefore, the total heat generated during vehicle braking can be determined based on information such as vehicle speed in the vehicle operation data, and then the heat absorption coefficient of the brake lining to this heat (that is, the absorption ratio of this heat) is related to the vehicle brake master cylinder pressure, wheel cylinder pressure, ambient temperature and mileage in the vehicle operation data. Therefore, the heat absorption coefficient of the brake lining can be determined based on other parameters in the vehicle operation data, and then the heat absorbed by the brake lining can be calculated by multiplying it with the total heat generated by braking. Then, the current surface temperature of the brake lining can be calculated based on the heat absorbed by the brake lining, and then the wear rate of the brake lining at different temperatures calculated in advance and the current surface temperature can be found out, and then the estimated wear amount of the brake lining can be calculated in real time by multiplying it with the initial thickness of the brake lining.

[0072] The wear rate of brake linings at different temperatures may vary due to different properties of the brake lining such as material and type.

[0073] In some embodiments, the obtaining of vehicle operation data includes:

[0074] At least one piece of information of vehicle speed, brake master cylinder pressure, wheel cylinder pressure, ambient temperature and vehicle mileage is obtained through the vehicle bus.

[0075] The vehicle bus may be a CAN (Controller Area Network) bus.

[0076] In some embodiments, the brake lining includes a plurality of;

[0077] The plurality of brake linings are respectively installed on the inner side of the front axle of the vehicle, the outer side of the front axle of the vehicle, the inner side of the rear axle of the vehicle, and the outer side of the rear axle of the vehicle.

[0078] There is no limit on the number of brake pads and they can be freely configured according to needs.

[0079] The following will be combined Figure 2 The technical solution of the present disclosure is further described in detail:

[0080] First, in step S1.1, a vehicle brake lining life monitoring model is defined, which is a brake lining wear calculation model and a life prediction model. As an example, for the above model file, the brake heat energy during vehicle operation is obtained according to vehicle operation data such as vehicle speed, brake master cylinder pressure and external ambient temperature. This brake heat energy will be dissipated through the brake lining, so the brake lining wear amount (i.e., the wear amount) can be estimated in real time according to its impact on the brake lining wear performance.

[0081] Secondly, in steps S2.1 and S2.2, brake lining wear sensors are installed on the front and rear axles of the vehicle, such as Figure 3 As shown, the wear sensor has two or three thresholds, connected through two or three parallel resistors. When the brake lining wears to the threshold (i.e., the preset wear amount), that is, the resistor is worn away by the lining and the circuit is short-circuited, the ECU determines the wear state of the brake lining by the change of current. The wear state of the brake lining is fed back to the brake lining life monitoring model loaded on the controller, which is used for model correction (i.e., to correct the parameters in the vehicle brake lining life monitoring model, which is essentially based on the energy conservation principle in the law of thermodynamics, first using the braking kinetic energy to calculate the heat energy absorbed by the brake lining, and then converting the heat energy into the surface temperature of the brake lining, and then calculating the wear amount of the brake lining according to the statistical wear rate at different temperatures, and finally obtaining the estimated wear amount of the brake lining) and correction of the calculated wear amount (obtaining the final wear amount).

[0082] Secondly, in step S1.2, the above brake lining life prediction model script file can be stored in the vehicle end, such as the vehicle infotainment system, the body electronic control module, the electronic brake control module, the vehicle control unit and the chassis domain control unit.

[0083] In step S1.3, vehicle operation data is obtained, such vehicle operation data may include but is not limited to vehicle speed, brake master cylinder pressure and ambient temperature. As an example, such vehicle operation data may be obtained in real time through, for example, a CAN bus.

[0084] Then, in step S1.4, the driving data acquired in real time by the above-mentioned vehicle bus is processed according to the brake lining life prediction model file loaded on the vehicle end, and the model and wear prediction value are corrected according to the brake lining wear status point controlled by the vehicle end, so as to continuously obtain the brake lining wear amount (i.e. the final wear amount) and life.

[0085] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present disclosure is not limited by the order of the actions described, because according to the present disclosure, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present disclosure.

[0086] The above is an introduction to the method embodiment. The following is a further explanation of the scheme disclosed in the present invention through an apparatus embodiment.

[0087] Figure 4 FIG. 4 is a block diagram of a vehicle brake lining life prediction device 400 according to an embodiment of the present disclosure. Figure 4 As shown, the device 400 includes:

[0088] A monitoring module 410 for monitoring the current wear of the brake lining;

[0089] An acquisition module 420 is used to acquire vehicle operation data;

[0090] The prediction module 430 is used to predict the life of the brake lining according to the current wear amount and the vehicle operation data.

[0091] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0092] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device and a non-transitory computer-readable storage medium storing computer instructions.

[0093] Figure 5A schematic block diagram of an electronic device 500 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0094] The device 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0095] A number of components in the device 500 are connected to the I / O interface 505, including: an input unit 506, such as a keyboard, a mouse, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a disk, an optical disk, etc.; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0096] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 501 performs the various methods and processes described above, such as method 100. For example, in some embodiments, the method 100 may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 500 via the ROM 502 and / or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the computing unit 501, one or more steps of the method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the method 100 in any other appropriate manner (e.g., by means of firmware).

[0097] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0098] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0099] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0100] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0101] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0102] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0103] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0104] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for predicting the life of a vehicle brake lining, characterized in that: include: Monitor the current amount of wear on the brake linings; Obtain vehicle operation data; Predicting the life of the brake lining according to the current wear amount and the vehicle operation data; The predicting of the life of the brake lining according to the current wear amount and the vehicle operation data includes: determining a final amount of wear of the brake lining according to the current amount of wear and the vehicle operation data; Calculating the current thickness of the brake lining according to the final wear amount and the initial thickness of the brake lining; determining the remaining life of the brake lining according to the corresponding relationship between the thickness and life of the brake lining and the current thickness; The obtaining of vehicle operation data comprises: obtaining at least two pieces of information of vehicle speed, brake master cylinder pressure, wheel cylinder pressure, ambient temperature and vehicle mileage through a vehicle bus; Before predicting the life of the brake lining according to the current wear amount and the vehicle operation data, the method further includes: predicting a current surface temperature of the brake lining according to the vehicle operation data; The estimated wear amount of the brake lining is calculated according to the current surface temperature and the wear rates at different temperatures.

2. The method according to claim 1, characterized in that The monitoring of the current wear amount of the brake lining comprises: Determining the current wear amount according to the current monitored by the wear sensor; The predicting of the life of the brake lining according to the current wear amount and the vehicle operation data includes: If the current wear amount reaches a preset wear amount, the life of the brake lining is predicted according to the current wear amount and the vehicle operation data.

3. The method according to claim 2, characterized in that If the current wear amount reaches a preset wear amount, predicting the life of the brake lining according to the current wear amount and the vehicle operation data includes: evaluating the wear amount of the brake lining according to the vehicle operation data to obtain an estimated wear amount; If the current wear amount reaches the preset wear amount, matching the preset wear amount with the estimated wear amount; If the two do not match, the estimated wear amount is corrected using the preset wear amount to obtain the predicted wear amount of the brake lining.

4. The method according to claim 2, characterized in that: The preset wear amount includes multiple; The method further comprises: If the current wear amount reaches any one of a plurality of preset wear amounts, an early warning is issued.

5. The method according to any one of claims 1 to 4, characterized in that The brake lining includes a plurality of; The plurality of brake linings are respectively installed on the inner side of the front axle of the vehicle, the outer side of the front axle of the vehicle, the inner side of the rear axle of the vehicle, and the outer side of the rear axle of the vehicle.

6. A vehicle brake lining life prediction device, characterized in that: include: A monitoring module for monitoring the current wear of the brake lining; An acquisition module, used to acquire vehicle operation data; A prediction module, configured to predict the life of the brake lining according to the current wear amount and the vehicle operation data; The prediction module is specifically used for: determining a final amount of wear of the brake lining according to the current amount of wear and the vehicle operation data; Calculating the current thickness of the brake lining according to the final wear amount and the initial thickness of the brake lining; determining the remaining life of the brake lining according to the corresponding relationship between the thickness and life of the brake lining and the current thickness; The acquisition module is specifically used for: obtaining at least two pieces of information of vehicle speed, brake master cylinder pressure, wheel cylinder pressure, ambient temperature and vehicle mileage through a vehicle bus; The device is also used for: Before predicting the life of the brake lining based on the current wear amount and the vehicle operation data, predict the current surface temperature of the brake lining based on the vehicle operation data; calculate the estimated wear amount of the brake lining based on the current surface temperature and the wear rate at different temperatures.

7. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-5.

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