CN106143497A - Tire pressure monitoring method for computing data - Google Patents
Tire pressure monitoring method for computing data Download PDFInfo
- Publication number
- CN106143497A CN106143497A CN201610591380.XA CN201610591380A CN106143497A CN 106143497 A CN106143497 A CN 106143497A CN 201610591380 A CN201610591380 A CN 201610591380A CN 106143497 A CN106143497 A CN 106143497A
- Authority
- CN
- China
- Prior art keywords
- tire pressure
- acceleration
- vehicle
- speed
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- B60W40/12—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 parameters of the vehicle itself, e.g. tyre models
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C23/00—Devices for measuring, signalling, controlling, or distributing tyre pressure or temperature, specially adapted for mounting on vehicles; Arrangement of tyre inflating devices on vehicles, e.g. of pumps or of tanks; Tyre cooling arrangements
- B60C23/02—Signalling devices actuated by tyre pressure
- B60C23/04—Signalling devices actuated by tyre pressure mounted on the wheel or tyre
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2530/00—Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
- B60W2530/20—Tyre data
Abstract
The invention provides a kind of tire pressure monitoring method for computing data, the method includes: read vehicle wheel rotational speed data from vehicle bus, deletes the invalid data of travel conditions interference, sets up the not enough judgment criterion of tire pressure, determine warning threshold, it is achieved data acquisition, algorithm process and warning output.The present invention proposes a kind of tire pressure monitoring method for computing data, only carries out calculation process by existing sensor element, when driving dynamic monitoring tire pressure effectively, saves hardware cost and simultaneously improves computing accuracy rate.
Description
Technical field
The present invention relates to wagon control, particularly to a kind of tire pressure monitoring method for computing data.
Background technology
With the continuous growth of China's automobile quantity, the security of running car becomes more and more important.And guarantee automobile
Work in the range of regulation allows of all parts state is significant to promotion energy-saving and emission-reduction.Especially in tire pressure monitoring side
Face, radio tire pressure monitoring system has become the main direction of studying promoting safe driving, energy-conservation driving and intelligent travelling crane.Prison
Examining system automatically monitors tire pressure when vehicle travels, and when finding to alert when tire is in unusual condition, promotes to drive
The person of sailing adopts an effective measure, it is to avoid cause danger, and also can be prevented effectively from oil consumption increases, it is ensured that vehicle is most preferably handling and comfortable
Property.But in the prior art, tire pressure monitoring system is many by signal acquiring system collecting vehicle wheel speed step-by-step counting evidence, but need
Want external signal processing module, and cannot monitor tire pressure when speed is too high.
Content of the invention
For solving the problem existing for above-mentioned prior art, the present invention proposes a kind of tire pressure monitoring method for computing data,
Including:
Read vehicle wheel rotational speed data from vehicle bus, delete the invalid data of travel conditions interference, set up tire pressure deficiency and sentence
Disconnected criterion, determines warning threshold, it is achieved data acquisition, algorithm process and warning output.
Preferably, the invalid data of described deletion travel conditions interference, comprising:
According to the vehicle data obtaining from vehicle-mounted monitoring module and each axle acceleration of vehicle obtaining from acceleration transducer,
Judge travel conditions, if front backward acceleration is ax, transverse acceleration is ay, normal acceleration is az, the weight of each acceleration
Coefficient is k1,k2,k3, acceleration rate threshold is set as Ta, g is acceleration of gravity, then:
Ta=k1|ax|+k2|ay|+k3|(az-g)|
Work as TaWhen exceeding setting threshold value, it is determined that vehicle is in acceleration and deceleration, jolts or turn condition, discards present sample
Point, and all sampled points in steering indicating light signal time section will be had all to abandon, and speed v meets, vL<v<vH
vL, vHIt is respectively the minimum and max. speed that tire pressure monitoring system is operated;
After discarding the Null Spot being not suitable for carrying out tire pressure monitoring, carry out fragmented storage;
Described set up the not enough judgment criterion of tire pressure, determine warning threshold, farther include:
It according to the difference of each vehicle speed intervals, after available point is classified, is stored as the data that n array is a group,
After Coutinuous store 3 groups, buffer carries out Overflow handling;After spilling, system is first filtered processing, erased noise point, then continuously
Judge whether certain wheel is the not enough state of tire pressure for three times;If certain wheel is in the not enough state of tire pressure for continuous three times, then leak
The acceleration calculation of gas speed;If acceleration calculation result exceedes predetermined threshold value, then determine that it is rapid air leakage;Otherwise, then it is
Leak gas at a slow speed, after determining the not enough state of certain tire pressure taken turns, carry out different warning output according to different states;
Wherein said fragmented storage also includes: set small unit interval section as T, DijFor the vehicle wheel rotational speed sample value collecting
I=1,2,3 ..., 8, j=1,2,3 ..., 3n, the distance that each sampled point travels near tiny time section T is
Sij=DijT
S in formulaijThe distance travelling for the time near each sampled point, the available point number that n is gathered by sampling time section;
After the full 3n of sampled point collection, collection point is one section with n and is divided into 3 sections, calculate the mean angular velocity of each section
R in formulacFor vehicle wheel roll radius;
When sampling, speed is divided into interval by 10,000 ms/hour for unit, then each sampling point is put into each interval right
The memory block answered;Calculate section mean speed v of every n pointkFor:
vijThe speed sample value collecting for vehicle speed sensor.
The present invention compared to existing technology, has the advantage that
The present invention proposes a kind of tire pressure monitoring method for computing data, is only entered at row operation by existing sensor element
Reason, when driving dynamic monitoring tire pressure effectively, save hardware cost and simultaneously improve computing accuracy rate.
Brief description
Fig. 1 is the flow chart of tire pressure monitoring method for computing data according to embodiments of the present invention.
Detailed description of the invention
Hereafter provide retouching in detail to one or more embodiment of the present invention together with the accompanying drawing of the diagram principle of the invention
State.Describe the present invention in conjunction with such embodiment, but the invention is not restricted to any embodiment.The scope of the present invention is only by right
Claim limits, and the present invention covers many replacements, modification and equivalent.Illustrate in the following description many details with
Thorough understanding of the present invention is just provided.These details are provided for exemplary purposes, and without in these details
Some or all details also can realize the present invention according to claims.
An aspect of of the present present invention provides a kind of tire pressure monitoring method for computing data.Fig. 1 is according to embodiments of the present invention
Tire pressure monitoring method for computing data flow chart.
The present invention proposes the tire pressure monitoring method based on vehicle wheel rotational speed data, selects wheel rotation speed signals to supervise as tire pressure
The initial data surveyed, the vehicle wheel rotational speed data reading from vehicle bus, get rid of travel conditions in conjunction with multisensor multi-parameter algorithm
Interference, deletes the invalid data affecting tire pressure monitoring;Set up algorithm model and the not enough judgment criterion of tire pressure of monitoring tire pressure, to police
Accuse threshold value to be determined, determine aposematic mechanism, it is achieved data acquisition, algorithm process and warning output.Vehicle-mounted monitoring module includes
Wireless communication layer, sensing layer and application layer.Wireless communication layer sets up the passage with vehicle communication, processes communication sequential, completes letter
Breath is mutual.The agreement that vehicle-mounted monitoring module standard need to be supported by wireless communication layer resolves, and makes this system can meet currently
Meet the vehicle of vehicle-mounted monitoring module standard.Sensing layer formulates perfect correspondence with foreign country standard, passes to meet reliable and stable data
Defeated needs, it is ensured that correct, effective vehicle data can be got, in order to tire pressure monitoring system carries out tire pressure monitoring core calculation
The process of method, and finally export tire pressure result.Application layer is the modules formulated according to software, performs the related of default
Function, comprising: information collection module, acceleration calibration and acquisition module, vehicle wheel rotational speed data acquisition module, tire self-inspection mould
Block, travel conditions grade module, tire pressure monitoring computing module and warning output module.The realization of each process is based on corresponding
The driver of equipment.
Tire pressure monitoring system of the present invention realizes monitoring based on vehicle wheel rotational speed data to tire pressure.Automobile is running on an equal basis
During distance, the number of turns of each wheel rolling process and its rolling radius are inversely proportional to, and vehicle wheel rotational speed is inversely proportional to its rolling radius.Wheel
The step-by-step counting that the speed probe of upper installation sends also is inversely proportional to its rolling radius.Tire pressure monitoring system carries out abnormal alert
Announcement, is by eliminating non-tire pressure factor, determining and after unitized process correction, determine that the primary condition of each tire is consistent, then
Vehicle wheel rotational speed after correction process or the speed probe step-by-step counting after process are inversely proportional to the tire pressure of this wheel.This
When, record each step-by-step counting taken turns, obtain each relation taking turns air pressure.The tire not enough according to tire pressure and the ratio of normal tire difference
Example threshold value i.e. reflects the draught head of two-wheeled.
During each vehicle launch, system is waken up in resting state, proceeds by System self-test, if system hardware is just
Often, vehicle-mounted monitoring module and acceleration transducer output are normal, then system starts;During first use, user chooses whether
Carry out tire calibration, make system eliminate the impact on vehicle wheel rotational speed data for the non-tire pressure factor;When car speed is at system work model
Enclosing interior and when being in smooth-ride state, system enters the training study stage, the unitized of driving wheel speed data-signal of going forward side by side
Process, eliminate front and back wheel tire pressure normal when requirement inconsistent, the impact on tire pressure monitoring precision such as tire wear;Acquisition is passed through
The vehicle wheel rotational speed data of vehicle-mounted universal serial bus output;The travelling data of vehicle, comprises speed, turn signal etc.;Pass from acceleration
Each axle acceleration of sensor output, as the basis for estimation as travel conditions;According to speed in the change of time response,
Delete invalid data, carry out segmentation summation to data, pass through mean value computation process afterwards again, it is achieved the identification of abnormal tyre pressure;Root
According to different travel conditions, select suitable tire pressure monitoring algorithm;In the case that tire pressure is judged to abnormal, carry out alerting defeated
Go out, remind driver to note taking measures in time.
During System self-test, comprising to check that whether supply voltage is normal, whether system can lead to electronic control unit
Letter, whether acceleration transducer normally works, and whether display screen normally shows.After the engine ignition of vehicle, system enters certainly
Inspection pattern, first, system acquisition supply voltage, it is judged that whether it is within normal voltage range, secondly, monitoring and automobile electricity
Sub-control unit whether proper communication, the single-chip microcomputer of system sends initialization directive to the electronic control unit of automobile.If electronics
Control unit has response, then self-inspection success;If electronic control unit is in the given time without response, then fail self-test, system is entered
Row is restarted;Whether monitoring acceleration transducer normally works, and reads each axle acceleration when pre-test.If the acceleration reading exists
In allowed band, determine its normal work;If exceeding allowed band, then read three times continuously;Three times all beyond allowed band, really
Determine acceleration transducer abnormal, carry out warning output;Finally, sending initialization directive to display screen, if receiving response, then proving
Display screen is normal;If without response, it is determined that display screen is abnormal, carry out warning output.
It follows that according to the vehicle data obtaining from vehicle-mounted monitoring module and each axle of vehicle obtaining from acceleration transducer
Acceleration, judges travel conditions, according to different travel conditions, determines the process of tire pressure monitoring.
If front backward acceleration is ax, transverse acceleration is ay, normal acceleration is az, the weight coefficient of each acceleration is
k1,k2,k3, acceleration rate threshold is set as that Ta, g are acceleration of gravity, then:
Ta=k1|ax|+k2|ay|+k3|(az-g)|
Work as TaWhen exceeding setting threshold value, it is determined that vehicle is in acceleration and deceleration, jolts or turn condition, then discard and currently adopt
Sampling point.And all sampled points in steering indicating light signal time section will be had all to abandon.
And speed v meets, vL<v<vH
vL, vHIt is respectively the minimum and max. speed that tire pressure monitoring system is operated.
Get the rotary speed data of each wheel from vehicle-mounted monitoring module interface, discard according to travel conditions information and be not suitable for
After carrying out the Null Spot of tire pressure monitoring, after screening, carry out fragmented storage.According to the difference of each vehicle speed intervals, effectively
After point is classified, being stored as the data that n array is a group, after Coutinuous store 3 groups, buffer carries out Overflow handling.Overflow
Rear system is first filtered processing, erased noise point, judges whether certain wheel is the not enough state of tire pressure for continuous afterwards three times.If certain
Wheel is in the not enough state of tire pressure for continuous three times, then carry out the acceleration calculation of leakage rate.If this value exceedes predetermined threshold value,
Then determine that it is rapid air leakage;Otherwise, then for leaking gas at a slow speed.After determining the not enough state of certain tire pressure taken turns, according to different states
Carry out different warning output.
Specifically, according to speed in the change of time response, carrying out segmentation summation, raising system carries out tire pressure monitoring
Precision and accuracy.Assuming that vehicle wheel rotational speed keeps constant in tiny time section, if small unit interval section is T.Dij(i=1,
2,3 ..., 8, j=1,2,3 ..., 3n) it is the vehicle wheel rotational speed sample value collecting.Each sampled point is attached in tiny time section T
The distance of nearly traveling is
Sij=DijT
S in formulaijThe distance travelling for the time near each sampled point, the available point number that n is gathered by sampling time section;
After the full 3n of sampled point collection, collection point is one section with n and is divided into 3 sections, calculate the mean angular velocity of each sectionAppoint
Anticipate one section mean angular velocity useRepresent.
R in formulacFor vehicle wheel roll radius.
When sampling, speed is divided into interval by 10,000 ms/hour for unit, then each sampling point is put into each interval right
The memory block answered.Because of the discontinuity of sampled point, need to calculate section mean speed v of every n pointkFor:
vijThe speed sample value collecting for vehicle speed sensor
In order to reduce the error that tire difference introduces, before calculating tire pressure, carry out unitized place to wheel rotation speed signals
Reason, obtains the identical characteristic parameter of each wheel, and this unitized process is exactly that wheel original pulse is counted NiIt is each right to be multiplied by
Correction coefficient k of the step-by-step counting answeredi, it is converted into calibration pulse counting SNi, i.e. calculated by below equation:
SNi=ki·Ni=1800ZkiAi/ π vnT i=1,2,3,4
Wherein AiRotation angle values for wheel standards n the cycle;V is average speed;Z is the number of teeth of gear;T is predefined
Normal period.
Calculate the error of i-th tire standards step-by-step counting and actual pulse counting and obtain anglec of rotation error delta Ni:
Try to achieve Δ N when all wheels are normal tire pressureiWhen≤2%, determine that data are correct, by kiAs each arteries and veins taken turns
The correction coefficient of punching counting.
Comparison by i-th wheel anglec of rotation and other three-wheel anglec of rotation averages.Calculate other three in addition to i-th takes turns
The average of the anglec of rotation of tire
And i ≠ j
Then the relative error Δ ā of i-th anglec of rotation taken turns and other three-wheel anglec of rotation averages is obtainedi:
WhenWhen exceeding threshold value set in advance, then judge the pressure anomaly of this tire.
For getting rid of the impact on wheel rotation speed signals data for the non-tire pressure factor, use procedure below to different vehicle speed intervals
Warning threshold is calibrated, and reduces the rate of false alarm of system.
Speed being maintained at each vehicle speed intervals constant, the original pulse counting sending every speed sensor is recorded
Come, and carried out unitized process.Then only change the tire pressure of single tire, try to achieve the not enough tire km pulsimeter of tire pressure
Number.Not enough for tire pressure warning is divided into three grades: i.e. slight, moderate, severe.It is then converted to proportion threshold value Tij, i represents tire sequence number, j
Represent warning level, as the final warning threshold setting.
In time response, the speed of gas leakage be based on the variable quantity of vehicle wheel rotational speed data rate of change in time and
Determine.According to the vehicle wheel rotational speed data after process, gather three sections of data segments being made up of n sampled point and judge whether leakage
Gas, if continuous three times are all judged to gas leakage, determine that this tire is in gas leakage state, and records each ratios delta Nik, wherein k=
1,2,3 represent three judgements.If three judgements are all higher than slight leak threshold Tik, it may be assumed that
ΔNi1> Ti1
ΔNi2> Ti2
ΔNi3> Ti3
Then this is taken turns and is judged to gas leakage.Then judge to be in which rank of gas leakage state, the average of three ratios of calculating:
RelativelyAnd Tij, gas leakage state can be drawn.To different tire pressures, not enough state carries out different sound and figure
As display, inform the state of driver's tire, remind driver to take suitable measure.
The leakage rate of tire is extracted from the tire pressures of three times change.If leakage rate is hi, then
hi=[(Δ Ni2-ΔNi1)/ΔNi2]/2+[(ΔNi3-ΔNi2)/ΔNi2]/2
Work as hiWhen exceeding predetermined threshold value, represent that tire pressure has significant change in this segment limit, it is determined that be rapid air leakage, otherwise
It is judged to leak gas at a slow speed.
Another alternative embodiment of the present invention is estimated before and after each tire to stress Cx and rolling radius R simultaneously.Arrange
Object function:
Ma=2Cx (V-R ω) V-η V2;
M and a is respectively gross mass and the acceleration of vehicle, and V is speed, and ω is driving wheel angular speed, and η is constant factor;
Above formula is designated as
E=ma=F (T, B), wherein T=(ω, V);B=(Cx, R)
1. select initial point;x(1)=(Cx, R), initial step length (SPAN1, SPAN2) > 0, e1=(1,0), e2=(0,1);
Step size increments λ > 1, increments amount β ∈ (0,1), accelerated factor θ, resolution ratio τ, ma initial approximation solution Ek, two tuples T are initially near
Like solution Tk, put y(1)=x(1), search circulation step number r=1.
2. for i=1,2:
If
∑K ∈ [1, n][Ek-F(Tk,y(1)+SPAN1(i)*ei)]2< [Ek-F(Tk,y(i))]
Then put y(i+1)=y(i)+SPAN1(i)*ei, SPAN1 (i)=SPAN1 (i) * λ;
If otherwise
∑K ∈ [1, n][Ek-F(Tk,y(1)+SPAN1(i)*ei)]2≥[Ek-F(Tk,y(i))]
Then put y(i+1)=y(i)-SPAN1(i)*ei, SPAN1 (i)=SPAN1 (i) * λ;
If
∑K ∈ [1, n][Ek-F(Tk,y(1)+SPAN2(i)*ei)]2< [Ek-F(Tk,y(i))]
Then put y(i+1)=y(i)-SPAN2(i)*ei, SPAN2 (i)=SPAN2 (i) * λ;
If otherwise
∑K ∈ [1, n][Ek-F(Tk,y(1)+SPAN2(i)*ei)]2≥[Ek-F(Tk,y(i))]
Then put y(i+1)=y(i)+SPAN2(i)*ei, SPAN2 (i) 1=SPAN2 (i) * λ;
Make x(r+1)=y(3),
y(1)=x(r+1)+ θ * (x (r+1) x (r)),
SPAN1=SPAN1* λ,
SPAN2=SPAN2* λ,
Put r=r+1, turn the 2nd step.
If 4. y(1)≠x(r), then y (1)=x is put(r), turn the 2nd step.
5. if SPAN1 (i)+SPAN2 (i) < τ, i ∈ [1,2], then stop calculating, export x(r)For approximate optimal solution;Otherwise
SPAN1=SPAN1* β,
SPAN2=SPAN2* β,
Turn the 2nd step.
In sum, the present invention proposes a kind of tire pressure monitoring method for computing data, only passes through existing sensor element
Carry out calculation process, when driving dynamic monitoring tire pressure effectively, save hardware cost and simultaneously improve computing accuracy rate.
Obviously, it should be appreciated by those skilled in the art, each module of the above-mentioned present invention or each step can be with general
Calculating system realize, they can concentrate in single calculating system, or be distributed in multiple calculating system and formed
Network on, alternatively, they can be realized by the executable program code of calculating system, it is thus possible to by they store
Performed by calculating system within the storage system.So, the present invention is not restricted to the combination of any specific hardware and software.
It should be appreciated that the above-mentioned detailed description of the invention of the present invention is used only for exemplary illustration or explains the present invention's
Principle, and be not construed as limiting the invention.Therefore, that is done in the case of without departing from the spirit and scope of the present invention is any
Modification, equivalent, improvement etc., should be included within the scope of the present invention.Additionally, claims purport of the present invention
Whole within covering to fall into the equivalents on scope and border or this scope and border change and repair
Change example.
Claims (2)
1. a tire pressure monitoring method for computing data, it is characterised in that include:
Read vehicle wheel rotational speed data from vehicle bus, delete the invalid data of travel conditions interference, set up tire pressure not enough judgement standard
Then, warning threshold is determined, it is achieved data acquisition, algorithm process and warning output.
2. method according to claim 1, it is characterised in that the invalid data of described deletion travel conditions interference, comprising:
According to the vehicle data obtaining from vehicle-mounted monitoring module and each axle acceleration of vehicle obtaining from acceleration transducer, sentence
Disconnected travel conditions, if front backward acceleration is ax, transverse acceleration is ay, normal acceleration is az, the weight coefficient of each acceleration
For k1,k2,k3, acceleration rate threshold is set as Ta, g is acceleration of gravity, then:
Ta=k1|ax|+k2|ay|+k3|(az-g)|
Work as TaWhen exceeding setting threshold value, it is determined that vehicle is in acceleration and deceleration, jolts or turn condition, discards current sampling point, and
The all sampled points in steering indicating light signal time section will be had all to abandon, and speed v meets, vL<v<vH
vL, vHIt is respectively the minimum and max. speed that tire pressure monitoring system is operated;
After discarding the Null Spot being not suitable for carrying out tire pressure monitoring, carry out fragmented storage;
Described set up the not enough judgment criterion of tire pressure, determine warning threshold, farther include:
It according to the difference of each vehicle speed intervals, after available point is classified, is stored as the data that n array is a group, continuously
After storing 3 groups, buffer carries out Overflow handling;After spilling, system is first filtered processing, erased noise point, then continuous three times
Judge whether certain wheel is the not enough state of tire pressure;If certain wheel is in the not enough state of tire pressure for continuous three times, then carry out gas leakage speed
The acceleration calculation of degree;If acceleration calculation result exceedes predetermined threshold value, then determine that it is rapid air leakage;Otherwise, then at a slow speed
Gas leakage, after determining the not enough state of certain tire pressure taken turns, carries out different warning output according to different states;
Wherein said fragmented storage also includes: set small unit interval section as T, DijFor vehicle wheel rotational speed sample value i=collecting
1,2,3 ..., 8, j=1,2,3 ..., 3n, the distance that each sampled point travels near tiny time section T is
Sij=DijT
S in formulaijThe distance travelling for the time near each sampled point, the available point number that n is gathered by sampling time section;
After the full 3n of sampled point collection, collection point is one section with n and is divided into 3 sections, calculate the mean angular velocity of each section
R in formulacFor vehicle wheel roll radius;
When sampling, speed is divided into interval by 10,000 ms/hour for unit, then each sampling point is put into each interval corresponding
Memory block;Calculate section mean speed v of every n pointkFor:
vijThe speed sample value collecting for vehicle speed sensor.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610591380.XA CN106143497A (en) | 2016-07-26 | 2016-07-26 | Tire pressure monitoring method for computing data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610591380.XA CN106143497A (en) | 2016-07-26 | 2016-07-26 | Tire pressure monitoring method for computing data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106143497A true CN106143497A (en) | 2016-11-23 |
Family
ID=58059725
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610591380.XA Pending CN106143497A (en) | 2016-07-26 | 2016-07-26 | Tire pressure monitoring method for computing data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106143497A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107512143A (en) * | 2017-07-14 | 2017-12-26 | 清华大学 | Tire pressure calculates method, apparatus and the application on bicycle |
CN108944282A (en) * | 2018-08-28 | 2018-12-07 | 铁将军汽车电子股份有限公司 | Tire changing monitoring method, device for monitoring tyre pressure, system and equipment |
CN109278482A (en) * | 2017-07-21 | 2019-01-29 | 通用汽车环球科技运作有限责任公司 | Determine tire leak rate |
CN110884304A (en) * | 2019-12-17 | 2020-03-17 | 温州鑫锐翔科技有限公司 | Tire leakage detection system |
CN113232462A (en) * | 2021-05-20 | 2021-08-10 | 上海仙塔智能科技有限公司 | Tire pressure management method, device and computer storage medium |
CN113939412A (en) * | 2019-05-29 | 2022-01-14 | 霍富保隆电子布雷顿有限公司 | Tire pressure monitoring unit and method for managing tire data in a tire pressure monitoring unit |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030038716A1 (en) * | 2001-08-27 | 2003-02-27 | Piesinger Gregory Hubert | Direct TPMS sensor combined with an ABS |
CN102114757A (en) * | 2010-07-26 | 2011-07-06 | 浙江吉利汽车研究院有限公司 | Tire pressure monitoring method based on ABS (Antilock Brake System) wheel speed sensor signal |
CN104999865A (en) * | 2015-07-13 | 2015-10-28 | 杭州联云汽车科技有限公司 | Indirect tire pressure monitoring method based on OBD interface |
-
2016
- 2016-07-26 CN CN201610591380.XA patent/CN106143497A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030038716A1 (en) * | 2001-08-27 | 2003-02-27 | Piesinger Gregory Hubert | Direct TPMS sensor combined with an ABS |
CN102114757A (en) * | 2010-07-26 | 2011-07-06 | 浙江吉利汽车研究院有限公司 | Tire pressure monitoring method based on ABS (Antilock Brake System) wheel speed sensor signal |
CN104999865A (en) * | 2015-07-13 | 2015-10-28 | 杭州联云汽车科技有限公司 | Indirect tire pressure monitoring method based on OBD interface |
Non-Patent Citations (2)
Title |
---|
彭瑾等: "基于变步长模式搜索法的轮胎纵向刚度估计算法研究", 《电子设计工程》 * |
李敏: "基于车载OBD输出信息的间接式TPMS研究", 《工程科技II辑》 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107512143A (en) * | 2017-07-14 | 2017-12-26 | 清华大学 | Tire pressure calculates method, apparatus and the application on bicycle |
CN107512143B (en) * | 2017-07-14 | 2020-07-10 | 清华大学 | Tire pressure calculation method and device and application to bicycle |
CN109278482A (en) * | 2017-07-21 | 2019-01-29 | 通用汽车环球科技运作有限责任公司 | Determine tire leak rate |
CN108944282A (en) * | 2018-08-28 | 2018-12-07 | 铁将军汽车电子股份有限公司 | Tire changing monitoring method, device for monitoring tyre pressure, system and equipment |
CN113939412A (en) * | 2019-05-29 | 2022-01-14 | 霍富保隆电子布雷顿有限公司 | Tire pressure monitoring unit and method for managing tire data in a tire pressure monitoring unit |
CN110884304A (en) * | 2019-12-17 | 2020-03-17 | 温州鑫锐翔科技有限公司 | Tire leakage detection system |
CN113232462A (en) * | 2021-05-20 | 2021-08-10 | 上海仙塔智能科技有限公司 | Tire pressure management method, device and computer storage medium |
CN113232462B (en) * | 2021-05-20 | 2022-12-02 | 上海仙塔智能科技有限公司 | Tire pressure management method, device and computer storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106218329A (en) | Vehicle parameter acquisition method based on wireless senser | |
CN106143012A (en) | Vehicle part state real-time processing method | |
CN106143497A (en) | Tire pressure monitoring method for computing data | |
CN105547322B (en) | A kind of method that VMT Vehicle-Miles of Travel calculating is carried out using satellite location data | |
CN103473890A (en) | Driver fatigue real-time monitoring system and monitoring method based on multi-information | |
CN102538890B (en) | Method and device for obtaining course continuation mileage of motor vehicle | |
CN105109490B (en) | Method for judging sharp turn of vehicle based on three-axis acceleration sensor | |
JPH09228817A (en) | Detection method for liquid quantity, in particular engine oil quantity in automobile | |
CN111311093B (en) | Road intersection risk assessment and early warning method based on driver physiological data | |
US20180354524A1 (en) | Method and system for assessing the trip performance of a driver | |
CN106114085B (en) | Tyre pressure sensor front and back wheel location recognition method, apparatus and system | |
CN108682119A (en) | Method for detecting fatigue state of driver based on smart mobile phone and smartwatch | |
CN108399794A (en) | Tunnel driving safety pre-warning system and method based on vehicle running state detection | |
US20180345984A1 (en) | Method and system for assessing the trip performance of a driver | |
CN107478289A (en) | The method and apparatus for obtaining average fuel consumption | |
US20180354525A1 (en) | Method and system for assessing the trip performance of a driver | |
US10384688B2 (en) | Method and system for assessing the trip performance of a driver | |
CN110473085B (en) | Vehicle risk discrimination method and device | |
CN113607251A (en) | Vehicle load measuring method and device | |
CN108189783A (en) | Vehicle running state monitoring method, device and vehicle | |
CN108573602B (en) | Traffic noise data acquisition system and control method thereof | |
CN110060373A (en) | A kind of automobile management system and its management method | |
CN114001989A (en) | Method and device for predicting energy consumption of single-vehicle air conditioner based on working condition identification | |
CN108189626A (en) | A kind of tire pressure detection method, device, storage medium and automobile | |
CN109662722B (en) | Driver fatigue monitoring and early warning system and method based on time variable |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161123 |
|
RJ01 | Rejection of invention patent application after publication |