CN116238442A - Method and device for pre-judging tire wear of new energy vehicle of T-BOX - Google Patents

Method and device for pre-judging tire wear of new energy vehicle of T-BOX Download PDF

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Publication number
CN116238442A
CN116238442A CN202310045457.3A CN202310045457A CN116238442A CN 116238442 A CN116238442 A CN 116238442A CN 202310045457 A CN202310045457 A CN 202310045457A CN 116238442 A CN116238442 A CN 116238442A
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vehicle
acceleration
braking
tire wear
wear coefficient
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姚勇
常雁龙
蒲儒臻
程兵兵
胡旌
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Shenzhen Fcar Technology Co ltd
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Shenzhen Fcar Technology Co ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
    • B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
    • B60R16/0234—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions related to maintenance or repairing of vehicles
    • 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
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Mechanical Engineering (AREA)
  • Tires In General (AREA)

Abstract

The invention discloses a method, a device, equipment and a storage medium for predicting tire wear of a new energy vehicle of a T-BOX, and belongs to the technical field of automobile fault diagnosis. The method is characterized in that the data of braking and acceleration of a vehicle in the using process, including data of braking times, braking distance, driving mileage and the like, are collected and are brought into a calculation model of a tire wear coefficient M, and calculation parameters are calculated: the braking wear coefficient and the accelerating wear coefficient are used for calculating the current tire wear coefficient M according to a calculation model of the tire wear coefficient M; if the tire wear coefficient M is larger than the tire wear coefficient warning value of 0.85Mmax, pushing the tire replacement warning information to the vehicle owner. The invention can pre-judge the tire wear of the new energy vehicle, detect in real time and remind the vehicle owner.

Description

Method and device for pre-judging tire wear of new energy vehicle of T-BOX
Technical Field
The invention belongs to the technical field of automobile fault diagnosis, and particularly relates to a new energy tire wear pre-judging method and device for a T-BOX.
Background
The abrasion of the tires of the new energy automobile is influenced by the driving mileage, the service time, the driving habit and other factors, and particularly, the tires are greatly abraded due to frequent strong braking and high-frequency starting acceleration in the driving habit, so that the service life is reduced. However, at present, the 4S shop/repair shop generally estimates whether the vehicle needs maintenance according to the maintenance time set for the vehicle, and then makes a call to prompt the customer to return to the shop for maintenance according to the rough time. However, the reminding is inaccurate, the situation that the tire is replaced in advance exists, the cost of a vehicle owner is increased, certain waste is caused, meanwhile, the situation that the number of the vehicle running mileage is large, the brake wear is large, the tire maintenance reminding needs to be carried out in advance is also caused, the reminding cannot be carried out in time, and potential safety hazards are easily generated.
Therefore, a new energy vehicle tire abrasion pre-judging method is urgently needed, and tire abrasion estimation of a new energy vehicle can be accurately carried out, so that a vehicle owner is reminded.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method, a device, equipment and a storage medium for predicting the tire wear of a new energy vehicle of a T-BOX, which can be used for predicting the tire wear of the new energy vehicle, detecting in real time and reminding a vehicle owner.
In a first aspect, the invention provides a new energy vehicle tire wear pre-judging method of a T-BOX, which comprises the following steps:
1) After the new tire is installed, the current running mileage S0 of the vehicle is obtained;
2) When the vehicle accelerates, acquiring vehicle acceleration data includes: acceleration torque, acceleration times, acceleration duration, and acceleration distance;
3) When the vehicle is braked emergently, the obtaining vehicle braking data comprises the following steps: the braking times, the initial braking speed, the braking duration, the braking acceleration and the braking distance;
4) The data at the time of 1/4 of tire wear, 1/2 of tire wear and 3/4 of tire wear are brought into a calculation model of the tire wear coefficient M, and parameters are calculated: a brake wear coefficient k1 and an acceleration wear coefficient k2;
5) Calculating a current tire wear coefficient M from a calculation model of the tire wear coefficient M: the current mileage, the current acceleration data and the brake data are brought into a calculation model, and a current tire wear coefficient M is calculated;
6) If the tire wear coefficient M is greater than the tire wear coefficient warning value 0.85Mmax, pushing the tire replacement warning information to the vehicle owner, wherein Mmax= 4*M 1 / 4 。
Further technical scheme, the calculation model of tire wear coefficient M is as follows:
M＝S+k1∑N(m)*LA(m)+k2∑L(n)
where L (N) is the nth braking distance, S is the vehicle running mileage (in ten thousand kilometers), N (m) is the mth acceleration torque, LA (m) is the mth acceleration distance, k1 is the acceleration wear coefficient, and k2 is the braking wear coefficient.
According to a further technical scheme, the method for acquiring the vehicle acceleration data comprises the following steps:
the method for acquiring the acceleration times m comprises the following steps: setting the initial value of the acceleration times to 0, and when the longitudinal acceleration value of the vehicle is more than 2 km/h, adding 1 to the counted acceleration times;
the acceleration torque N (m) can be directly obtained through the OBDII interface: when the longitudinal acceleration value of the vehicle is more than 2 km/h, acquiring the current torque as acceleration torque;
the method for acquiring the acceleration time length TA comprises the following steps: when the longitudinal acceleration value of the vehicle is more than 2 km/h, acquiring an acceleration start time t01 and an initial speed V1; when the longitudinal acceleration of the vehicle is less than 2 km/h, acquiring acceleration ending time t02, and accelerating duration TA=t02-t 01;
the acceleration distance LA (m) is obtained by performing kinematic calculation according to the longitudinal acceleration and the acceleration duration:
LA(m)＝V1*TA+0.5*a1*TA 2
where a1 is acceleration at the time of acceleration, is a positive number, and V1 is an initial speed at the time of acceleration.
According to a further technical scheme, the method for acquiring the vehicle braking data comprises the following steps:
the brake pedal position P can be estimated by acquiring the opening position of the brake pedal, and is in an emergency braking state when the brake pedal is positioned at the working position 3; the method for acquiring the braking times n comprises the following steps: the initial value of the braking times is set to be 0, and when the vehicle speed is not 0, the vehicle speed and the stepping time are obtained at the moment that the state of a brake pedal is 'stepping down'; the vehicle is decelerated, and braking time is obtained after the vehicle speed is 0; when the braking time and the stepping time interval are more than 2 seconds, counting the braking times and adding 1;
brake initial speed V0 acquisition: when the vehicle speed is not 0, the brake pedal state is the vehicle speed obtained at the moment of 'stepping down', and the vehicle speed is the initial brake speed;
the method for acquiring the braking duration T comprises the following steps: when the vehicle speed is not 0, the vehicle speed and the stepping time t12 are obtained at the moment that the brake pedal state is stepped on, the vehicle is decelerated, the brake pedal state is obtained to be 1 or the time t1 is recovered to be the non-braking state, and when the time interval (t 12-t 11) between the two is more than 2 seconds, the time interval is the braking duration;
the braking acceleration obtains a longitudinal acceleration value a0 through an OBDII interface;
the braking distance L (n) is obtained by performing kinematic calculation by using the initial braking speed, the longitudinal acceleration and the braking time.
L(n)＝V0*T+0.5*a0*T 2
Where a0 is the longitudinal acceleration during braking and is a negative number.
According to a further technical scheme, the calculation method of the brake wear coefficient k1 and the acceleration wear coefficient k2 comprises the following steps:
when the tire is worn by 1/4, acquiring vehicle acceleration data and establishing a tire wear coefficient M 1/4 Equation of value;
M 1/4 ＝S 1/4 +k1∑N(m) 1/4 *LA(m) 1/4 +k2∑L(n) 1/4
when the tire is worn 1/2, acquiring vehicle acceleration data, and establishing a tire wear coefficient M 2/4 Equation of value;
M 2/4 ＝S 2/4 +k1∑N(m) 2/4 *LA(m) 2/4 +k2∑L(n) 2/4
when the tire is worn 3/4, acquiring vehicle acceleration data, and establishing a tire wear coefficient M 3/4 Equation for the values:
M 3/4 ＝S 3/4 +k1∑N(m) 3/4 *LA(m) 3/4 +k2∑L(n) 3/4
the following equations are combined and the parameters k1 and k2 are solved:
M 2/4 ＝2M 1/4
M 3/4 ＝3M 1/4 。
in a second aspect, the present invention provides a new energy tire wear pre-judging device for a T-BOX, comprising
The communication module acquires the current running mileage number S0 of the vehicle, the data flow of the vehicle acceleration data and the vehicle brake data and transmits the data flow to the signal processing module;
the signal processing module is used for processing the current running mileage number S0 of the vehicle, the data flow of the vehicle acceleration data and the vehicle brake data and the waveform data of the sensor, and transmitting the specific values of the torque, the acceleration and the distance to the MCU computing module.
The MCU calculation module calculates parameters according to the vehicle acceleration data and the vehicle braking data through a tire wear coefficient M calculation model: a brake wear coefficient k1 and an acceleration wear coefficient k2; calculating the current tire wear coefficient M according to the calculation model of the tire wear coefficient M and the current running mileage S0 of the vehicle;
and the reminding module is used for comparing the current tire wear coefficient of the automobile with the tire wear coefficient warning value of 0.85Mmax and sending the comparison result to the terminal or the diagnostic instrument.
In a third aspect, the present invention provides a new energy vehicle tire wear pre-judging apparatus of a T-BOX, the apparatus comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program configured to implement the new energy vehicle tire wear prediction method as described above.
In a fourth aspect, the present invention provides a storage medium having stored thereon a computer program which, when executed by a processor, implements a brake pad wear pre-determination method as described above.
Advantageous effects
1. The new energy tire wear pre-judging method of the T-BOX can be used for detecting the tire wear of the vehicle at any time when the vehicle runs, and does not need to go to a 4S/maintenance shop for detection, so that the cost is low and the detection efficiency is high.
2. The invention can prompt and alarm abnormal conditions of the tire wear of the commercial vehicle, and can upload the abnormal conditions to the terminal in real time as required, such as an enterprise vehicle diagnosis management platform, and the enterprise diagnosis management platform can also inquire the running state of the vehicle, so that the enterprise can monitor the running data of the commercial vehicle under the enterprise in real time, not only can detect the tire wear condition of the vehicle, but also can detect the running data of the speed, the position and the like of the vehicle, the fault diagnosis data of the engine state and the like, and the vehicle safety operation management level of the logistics enterprise is greatly improved.
3. According to the tire wear pre-judging model, the tire wear coefficient calculation model is established by utilizing the dynamics principle through collecting the vehicle state data during the running of the vehicle in real time, so that the real-time online estimation of the tire wear of the vehicle is performed, the detection efficiency is high, and the data accuracy is high.
4. The calculation model for the tire wear estimation does not need to collect more data as model training data, can automatically collect data and correct model parameters when the vehicle normally runs, and can ensure the accuracy requirement of the tire wear estimation; the model data mainly considers the driving habit of the vehicle owner and the performance of the tire, so that the model can not be influenced to continue to be used after the tire is replaced.
Drawings
FIG. 1 is a flow chart of new energy tire wear pre-judgment of a T-BOX provided by an embodiment of the invention
Fig. 2 is a schematic structural diagram of a new energy tire wear pre-judging device for a T-BOX according to an embodiment of the present invention.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, unless the context clearly indicates otherwise, the singular forms also are intended to include the plural forms, and furthermore, it is to be understood that the terms "comprises" and "comprising" and any variations thereof are intended to cover non-exclusive inclusions, such as, for example, processes, methods, systems, products or devices that comprise a series of steps or units, are not necessarily limited to those steps or units that are expressly listed, but may include other steps or units that are not expressly listed or inherent to such processes, methods, products or devices.
Example 1
As shown in fig. 1, the new energy vehicle tire wear pre-judging method of the T-BOX comprises the following steps:
s101: after the new tire is installed, the current running mileage S0 of the vehicle is obtained;
s102: when the vehicle accelerates, acquiring vehicle acceleration data includes: acceleration torque, acceleration times, acceleration duration, and acceleration distance;
the method for acquiring the vehicle acceleration data comprises the following steps:
the method for acquiring the acceleration times m comprises the following steps: setting the initial value of the acceleration times to 0, and when the longitudinal acceleration value of the vehicle is more than 2 km/h, adding 1 to the counted acceleration times;
the acceleration torque N (m) can be directly obtained through the OBDII interface: when the longitudinal acceleration value of the vehicle is more than 2 km/h, acquiring the current torque as acceleration torque;
the method for acquiring the acceleration time length TA comprises the following steps: when the longitudinal acceleration value of the vehicle is more than 2 km/h, acquiring an acceleration start time t01 and an initial speed V1; when the longitudinal acceleration of the vehicle is less than 2 km/h, acquiring acceleration ending time t02, and accelerating duration TA=t02-t 01;
the acceleration distance LA (m) is obtained by performing kinematic calculation according to the longitudinal acceleration and the acceleration duration:
LA(m)＝V1*TA+0.5*a1*TA 2
where a1 is acceleration at the time of acceleration, is a positive number, and V1 is an initial speed at the time of acceleration.
S103: when the vehicle is braked emergently, the obtaining vehicle braking data comprises the following steps: the braking times, the initial braking speed, the braking duration, the braking acceleration and the braking distance;
the method for acquiring the vehicle braking data comprises the following steps:
the brake pedal position P can be estimated by acquiring the opening position of the brake pedal, and is in an emergency braking state when the brake pedal is positioned at the working position 3;
the method for acquiring the braking times n comprises the following steps: the initial value of the braking times is set to be 0, and when the vehicle speed is not 0, the vehicle speed and the stepping time are obtained at the moment that the state of a brake pedal is 'stepping down'; the vehicle is decelerated, and braking time is obtained after the vehicle speed is 0; when the braking time and the stepping time interval are more than 2 seconds, counting the braking times and adding 1;
brake initial speed V0 acquisition: when the vehicle speed is not 0, the brake pedal state is the vehicle speed obtained at the moment of 'stepping down', and the vehicle speed is the initial brake speed;
the method for acquiring the braking duration T comprises the following steps: when the vehicle speed is not 0, the vehicle speed and the stepping time t12 are obtained at the moment that the brake pedal state is stepped on, the vehicle is decelerated, the brake pedal state is obtained to be 1 or the time t1 is recovered to be the non-braking state, and when the time interval (t 12-t 11) between the two is more than 2 seconds, the time interval is the braking duration;
the braking acceleration obtains a longitudinal acceleration value a0 through an OBDII interface;
the braking distance L (m) is obtained by performing kinematic calculation by using the initial braking speed, the longitudinal acceleration and the braking time:
L(n)＝V0*T+0.5*a0*T 2
where a0 is the longitudinal acceleration during braking and is a negative number.
S104: the data at the time of 1/4 of tire wear, 1/2 of tire wear and 3/4 of tire wear are brought into a calculation model of the tire wear coefficient M, and parameters are calculated: a brake wear coefficient k1 and an acceleration wear coefficient k2;
the calculation model of the tire wear coefficient M is as follows:
M＝S+k1∑N(m)*LA(m)+k2∑L(n)
where L (N) is the nth braking distance, S is the vehicle running mileage (in ten thousand kilometers), N (m) is the mth acceleration torque, LA (m) is the mth acceleration distance, k1 is the acceleration wear coefficient, and k2 is the braking wear coefficient.
The specific calculation method of the brake wear coefficient k1 and the acceleration wear coefficient k2 is as follows:
when the tire is worn by 1/4, acquiring vehicle acceleration data and establishing a tire wear coefficient M 1/4 Equation of value;
M 1/4 ＝S 1/4 +k1∑N(m) 1/4 *LA(m) 1/4 +k2∑L(n) 1/4
when the tire is worn 1/2, acquiring vehicle acceleration data, and establishing a tire wear coefficient M 2/4 Equation of value;
M 2/4 ＝S 2/4 +k1∑N(m) 2/4 *LA(m) 2/4 +k2∑L(n) 2/4
when the tire is worn 3/4, acquiring vehicle acceleration data, and establishing a tire wear coefficient M 3/4 Equation for the values:
M 3/4 ＝S 3/4 +k1∑N(m) 3/4 *LA(m) 3/4 +k2∑L(n) 3/4
the following equations are combined and the parameters k1 and k2 are solved:
M 2/4 ＝2M 1/4
M 3/4 ＝3M 1/4 。
s105: calculating a current tire wear coefficient M from a calculation model of the tire wear coefficient M: the current mileage, the current acceleration data and the brake data are brought into a calculation model, and a current tire wear coefficient M is calculated;
s106: if the tire wear coefficient M is greater than the tire wear coefficient warning value 0.85Mmax, pushing the tire replacement warning information to the vehicle owner, wherein Mmax= 4*M 1/4 。
Example two
As shown in fig. 2, a new energy vehicle tire wear pre-judging device of a T-BOX includes:
the communication module acquires the current running mileage number S0 of the vehicle, the data flow of the vehicle acceleration data and the vehicle brake data and transmits the data flow to the signal processing module;
the vehicle-mounted T-BOX can directly acquire vehicle related data, the vehicle-mounted T-BOX acquires data such as the current running mileage number S0 of the vehicle, vehicle acceleration data, vehicle braking data and the like based on a sensor on the vehicle, the communication module is communicated with the vehicle-mounted T-BOX to acquire related data, and the vehicle-mounted T-BOX can also be communicated with a management platform or a vehicle owner terminal to push vehicle related information.
The signal processing module is used for processing the current running mileage number S0 of the vehicle, the data flow of the vehicle acceleration data and the vehicle brake data and the waveform data of the sensor, and transmitting the specific values of the torque, the acceleration and the distance to the MCU computing module.
The MCU calculation module calculates parameters according to the vehicle acceleration data and the vehicle braking data through a tire wear coefficient M calculation model: a brake wear coefficient k1 and an acceleration wear coefficient k2; calculating the current tire wear coefficient M according to the calculation model of the tire wear coefficient M and the current running mileage S0 of the vehicle;
and the reminding module is used for comparing the current tire wear coefficient of the automobile with the tire wear coefficient warning value of 0.85Mmax and sending the comparison result to the terminal or the diagnostic instrument. The comparison result can be pushed to a terminal, such as a vehicle owner terminal or other management platforms, through a 4G/5G communication module, or pushed to a diagnostic instrument for display through serial communication.
Example III
A new energy tire wear pre-judging apparatus of a T-BOX, the apparatus comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program configured to implement the method of embodiment one.
It should be appreciated that in this embodiment, the memory may include read only memory and random access memory, and provide instructions and data to the processor, and that a portion of the memory may also include non-volatile random access memory. For example, the memory may also store information of the device type.
The processor may be a central processing unit CPU, but the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
A computing program (also referred to as a program, software application, or code) includes machine instructions for a programmable processor, and may be implemented using a high-level procedural and/or object-oriented programming language, and/or an assembly/machine language.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software.
The method in the first embodiment may be directly implemented as a hardware processor executing or implemented by a combination of hardware and software modules in the processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art.
Example IV
A storage medium having stored thereon a computer program which, when executed by a processor, implements the method of embodiment one.
The storage medium includes: u disk, mobile hard disk, read-only memory (ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
Those of ordinary skill in the art will appreciate that the methodologies of the examples described in connection with the present embodiments can be implemented as electronic hardware or as a combination of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The above embodiments do not limit the scope of the application. 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 application are intended to be included within the scope of the present application.

Claims (8)

1. The new energy tire wear pre-judging method of the T-BOX is characterized by comprising the following steps of:
1) After the new tire is installed, the current running mileage S0 of the vehicle is obtained;
2) When the vehicle accelerates, acquiring vehicle acceleration data includes: acceleration torque, acceleration times, acceleration duration, and acceleration distance;
3) When the vehicle is braked emergently, the obtaining vehicle braking data comprises the following steps: the braking times, the initial braking speed, the braking duration, the braking acceleration and the braking distance;
4) The data at the time of 1/4 of tire wear, 1/2 of tire wear and 3/4 of tire wear are brought into a calculation model of the tire wear coefficient M, and parameters are calculated: a brake wear coefficient k1 and an acceleration wear coefficient k2;
5) Calculating a current tire wear coefficient M from a calculation model of the tire wear coefficient M: the current mileage, the current acceleration data and the brake data are brought into a calculation model, and a current tire wear coefficient M is calculated;
6) If the tire wear coefficient M is greater than the tire wear coefficient warning value 0.85Mmax, pushing the tire replacement warning information to the vehicle owner, wherein Mmax= 4*M 1/4 。
2. The new energy vehicle tire wear pre-judging method of 4G/5G T-BOX according to claim 1, wherein the calculation model of the tire wear coefficient M is as follows:
M＝S+k1∑N(m)*LA(m)+k2∑L(n)
wherein, L (N) is the nth braking distance, S is the vehicle running mileage (unit is ten thousand kilometers), N (m) is the mth accelerating torque, LA (m) is the mth accelerating distance, k1 is the accelerating wear coefficient, and k2 is the braking wear coefficient.
3. The new energy tire wear pre-judging method of the T-BOX according to claim 1, wherein the vehicle acceleration data acquiring method is as follows:
the method for acquiring the acceleration times m comprises the following steps: setting the initial value of the acceleration times to 0, and when the longitudinal acceleration value of the vehicle is more than 2 km/h, adding 1 to the counted acceleration times;
the acceleration torque N (m) can be directly obtained through the OBDII interface: when the longitudinal acceleration value of the vehicle is more than 2 km/h, acquiring the current torque as acceleration torque;
the method for acquiring the acceleration time length TA comprises the following steps: when the longitudinal acceleration value of the vehicle is more than 2 km/h, acquiring an acceleration start time t01 and an initial speed V1; when the longitudinal acceleration of the vehicle is less than 2 km/h, acquiring acceleration ending time t02, and accelerating duration TA=t02-t 01;
the acceleration distance LA (m) is obtained by performing kinematic calculation according to the longitudinal acceleration and the acceleration duration:
LA(m)＝V1*TA+0.5*a1*TA 2
where a1 is acceleration at the time of acceleration, is a positive number, and V1 is an initial speed at the time of acceleration.
4. The new energy tire wear pre-judging method of the T-BOX according to claim 1, wherein the vehicle brake data acquiring method comprises the following steps:
the method for acquiring the braking times n comprises the following steps: the initial value of the braking times is set to be 0, and when the vehicle speed is not 0, the vehicle speed and the stepping time are obtained at the moment that the state of a brake pedal is 'stepping down'; the vehicle is decelerated, and braking time is obtained after the vehicle speed is 0; when the braking time and the stepping time interval are more than 2 seconds, counting the braking times and adding 1;
brake initial speed V0 acquisition: when the vehicle speed is not 0, the brake pedal state is the vehicle speed obtained at the moment of 'stepping down', and the vehicle speed is the initial brake speed;
the method for acquiring the braking duration T comprises the following steps: when the vehicle speed is not 0, the vehicle speed and the stepping time t12 are obtained at the moment that the brake pedal state is stepped on, the vehicle is decelerated, the brake pedal state is obtained to be 1 or the time t1 is recovered to be the non-braking state, and when the time interval (t 12-t 11) between the two is more than 2 seconds, the time interval is the braking duration;
the braking acceleration obtains a longitudinal acceleration value a0 through an OBDII interface;
the braking distance L (n) is obtained by performing kinematic calculation by using the initial braking speed, the longitudinal acceleration and the braking time.
L(n)＝V0*T+0.5*a0*T 2
Where a0 is the longitudinal acceleration during braking and is a negative number.
5. The new energy tire wear pre-judging method of the T-BOX according to claim 2, wherein the calculation method of the brake wear coefficient k1 and the acceleration wear coefficient k2 is as follows:
when the tire is worn by 1/4, acquiring vehicle acceleration data and establishing a tire wear coefficient M 1/4 Equation of value;
M 1/4 ＝S 1/4 +k1∑N(m) 1/4 *LA(m) 1/4 +k2∑L(n) 1/4
when the tire is worn 1/2, acquiring vehicle acceleration data, and establishing a tire wear coefficient M 2/4 Equation of value;
M 2/4 ＝S 2/4 +k1∑N(m) 2/4 *LA(m) 2/4 +k2∑L(n) 2/4
when the tire is worn 3/4, acquiring vehicle acceleration data, and establishing a tire wear coefficient M 3/4 Equation for the values:
M 3/4 ＝S 3/4 +k1∑N(m) 3/4 *LA(m) 3/4 +k2∑L(n) 3/4
the following equations are combined and the parameters k1 and k2 are solved:
M 2/ ＝2M 1/
M 3/4 ＝3M 1/4 。
6. a new energy vehicle tire abrasion pre-judging device of T-BOX is characterized by comprising
The communication module acquires the current running mileage number S0 of the vehicle, the data flow of the vehicle acceleration data and the vehicle brake data and transmits the data flow to the signal processing module;
the signal processing module is used for processing the current running mileage number S0 of the vehicle, the data flow of the vehicle acceleration data and the vehicle brake data and the waveform data of the sensor, and transmitting the specific values of the torque, the acceleration and the distance to the MCU computing module.
The MCU calculation module calculates parameters according to the vehicle acceleration data and the vehicle braking data through a tire wear coefficient M calculation model: a brake wear coefficient k1 and an acceleration wear coefficient k2; calculating the current tire wear coefficient M according to the calculation model of the tire wear coefficient M and the current running mileage S0 of the vehicle;
and the reminding module is used for comparing the current tire wear coefficient of the automobile with the tire wear coefficient warning value of 0.85Mmax and sending the comparison result to the terminal or the diagnostic instrument.
7. A new energy vehicle tire wear pre-judging device of a T-BOX, the device comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program configured to implement the new energy vehicle tire wear pre-determination method of any one of claims 1 to 5.
8. A storage medium having a computer program stored thereon, which when executed by a processor, implements the brake pad wear pre-determination method according to any one of claims 1 to 5.
CN202310045457.3A 2023-01-30 2023-01-30 Method and device for pre-judging tire wear of new energy vehicle of T-BOX Pending CN116238442A (en)

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CN202310045457.3A CN116238442A (en) 2023-01-30 2023-01-30 Method and device for pre-judging tire wear of new energy vehicle of T-BOX

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CN202310045457.3A CN116238442A (en) 2023-01-30 2023-01-30 Method and device for pre-judging tire wear of new energy vehicle of T-BOX

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