CN111532090A - Four-wheel indirect tire pressure detection method based on electric vehicle motor wheel speed - Google Patents
Four-wheel indirect tire pressure detection method based on electric vehicle motor wheel speed Download PDFInfo
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- CN111532090A CN111532090A CN202010396611.8A CN202010396611A CN111532090A CN 111532090 A CN111532090 A CN 111532090A CN 202010396611 A CN202010396611 A CN 202010396611A CN 111532090 A CN111532090 A CN 111532090A
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- 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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- 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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/08—Electric propulsion units
- B60W2510/081—Speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
- B60W2520/105—Longitudinal acceleration
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/28—Wheel speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2530/00—Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
- B60W2530/20—Tyre data
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Abstract
The invention discloses a four-wheel indirect tire pressure detection method based on the motor wheel speed of an electric vehicle, which is used for judging whether the electric vehicle is in a straight running state or not, eliminating motor wheel speed signal errors of four wheels of the electric vehicle, filtering the mean value of the motor wheel speed signals, setting a reference number, setting a corresponding critical value according to a calculated radius analysis value, setting a reference number sequence, setting the reference number according to the reference sequence, counting the reference number in a data storage unit, calculating probability distribution, judging the low pressure condition of a vehicle tire according to the reference number probability distribution, comparing a signal acquired by an automobile acceleration sensor with the acceleration of the motor wheel speed signals, setting a corresponding threshold value and verifying the tire pressure condition of the four wheels. The invention provides an indirect tire pressure detection method based on a perimeter method, and a processed wheel speed signal can be directly used for judging low pressure information of a tire and giving a low pressure alarm.
Description
Technical Field
The invention relates to a tire pressure detection method, in particular to a four-wheel indirect tire pressure detection method based on the motor wheel speed of an electric vehicle, and belongs to the field of vehicle control.
Background
In view of safe driving, the too low tire pressure can increase oil consumption, weaken braking performance, cause abnormal abrasion on two sides of the tire surface, easily damage the tire side and the like, and if serious, cause the too fast temperature rise of the tire, and then the tire burst. And the tire pressure is too high, and the vehicle body jumping frequency is too high when meeting ground projections, so that the suspension system of the vehicle is damaged, and the driving is uncomfortable. Therefore, the owner must develop a good habit of checking the tire pressure by himself, always keep track of the tire pressure monitoring value, and preferably refer to the standard tire pressure value given by the original factory, so that not only can the service life of the tire be prolonged, but also the tire burst can be prevented. The tire pressure detection in the prior art mainly depends on the installation of a tire pressure meter on a tire valve for measurement, so that redundant equipment needs to be additionally installed, the automobile which leaves the factory and does not have the tire pressure detection function needs to be modified, and the operation and the upgrading are relatively troublesome.
Disclosure of Invention
The invention aims to solve the technical problem of providing a four-wheel indirect tire pressure detection method based on the motor wheel speed of an electric vehicle, which can indirectly detect the tire pressure without arranging an additional measuring instrument.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a four-wheel indirect tire pressure detection method based on the speed of an electric vehicle motor wheel is characterized by comprising the following steps:
the method comprises the following steps: judging whether the electric vehicle is in a straight-going state or not;
step two: eliminating motor wheel speed signal errors of four wheels of the electric vehicle;
step three: filtering the mean value of the motor wheel speed signals;
step four: setting a reference number, setting a corresponding critical value according to the calculated radius analysis value, setting the reference number sequence according to the critical value, and setting the reference number according to the reference sequence;
step five: judging the low pressure by the probability distribution, counting the reference number in the data storage unit, calculating the probability distribution, and judging the low pressure condition of the vehicle tire according to the probability distribution of the reference number;
step six: and (3) vehicle acceleration verification, namely comparing a signal acquired by a vehicle acceleration sensor with the acceleration of a motor wheel speed signal, setting a corresponding threshold value, and verifying the tire pressure conditions of four wheels.
Further, the step one is specifically to judge the state of the electric vehicle, and when the vehicle speed reaches 25km/h and the steering wheel angle is less than 10 degrees, the electric vehicle is judged to be in the straight running state and the tire pressure detection is started.
Further, in the first step, resetting is performed when the electric vehicle is parked, and the resetting process is to clear data after the driving side door is opened and clear the output.
Further, the second step is specifically to process the motor wheel speed signals of the four wheels, eliminate the difference of the four motor wheel speed signals, count the four-wheel rotating speed and the vehicle relative speed under the normal condition of the tire pressure, screen out the data of a section with a smoother speed, calculate the ratio between the four-wheel rotating speed and the four-wheel average rotating speed after a series of filtering processes, and use the ratio as the error correction coefficient.
Further, the third step is specifically
Setting a numerical value as the length of a data segment during filtering, summing and averaging the data of the length to obtain wheel speed signals V1, V2, V3 and V4 and an average wheel speed signal Vk;
v1, V2, V3, V4 are the left front, right front, left rear, right rear wheel speeds of the vehicle, respectively, and the average wheel speed signal Vk = (V1+ V2+ V3+ V4)/4.
Further, the fourth step is specifically
After the radius analysis value is calculated, setting a critical value according to the result, comparing the critical value with the radius analysis value, setting a reference sequence according to the comparison result, and finally judging the tire pressure condition of the tire according to the reference sequence;
the critical value is dynamically generated along with the change of the radius analysis value, after the calculated radius analysis value is obtained, the arithmetic summation is carried out on the result, the absolute value operation is carried out on the summation result, and the summation result is set as the critical value after the average value is obtained;
comparing the calculated radius analysis value with a set critical value, changing the reference sequence into a theoretical value, and setting the theoretical value as a reference number for judgment;
the reference sequence is changed to a positive theoretical value when the calculated radius analysis value is greater than the set critical value, to a negative theoretical value when the calculated radius analysis value is less than the negative value of the set critical value, and to a theoretical value of 0 when the absolute value of the calculated radius analysis value is less than the set critical value.
Further, the radius analysis value of the front and rear wheels was D1= [ (V1+ V2)/2- (V3+ V4)/2 ]/Vk; the radius analysis value of the left and right wheels is D2= [ (V1+ V3)/2- (V2+ V4)/2 ]/Vk; the analysis value of the diagonal wheel radius is D3= [ (V1+ V4)/2- (V2+ V3)/2 ]/Vk; wherein V1, V2, V3 and V4 are the wheel speeds of the left front wheel, the right front wheel, the left rear wheel and the right rear wheel of the vehicle respectively, and Vk is an average wheel speed signal;
setting a critical value, summing and averaging the three radius analysis values obtained by calculation, and setting the result as a critical value A after absolute value operation is carried out;
setting reference numbers, wherein the reference sequences B1, B2 and B3 correspond to radius analysis values D1, D2 and D3; if the radius analysis value Di is positioned in the critical judgment domain [ A, -A ], setting a reference sequence Bi as 1; if the radius analysis value Di is larger than the critical value A, setting the reference sequence Bi to be 2; if the radius analysis value Di is smaller than the critical value-A, setting the reference sequence Bi as 0; the set reference sequence is arranged according to B1B2B3, and then table look-up conversion is carried out to obtain a reference number B.
Further, the fifth step is specifically that
Calculating the probability distribution and judging the tire pressure of the wheel, counting the reference numbers in the data storage unit after the reference numbers are converted, calculating the probability distribution of different reference numbers, and outputting the tire pressure information corresponding to a certain reference number if the probability distribution of the reference number is far greater than the probability distribution of other reference numbers;
the probability distribution of the reference number i is denoted Pi = Ci/Z; pi represents the probability that the reference number is i, Ci represents the frequency of the reference number i in the data storage unit, and Z represents the total frequency of the reference number.
Further, the sixth step is specifically that
Judging low pressure according to the acceleration of the automobile, calculating the acceleration of the wheel, comparing the calculated acceleration with a signal acquired by an acceleration sensor, if the value of ak-am beta is greater than beta, indicating that four tires of the automobile are short of air, adding 1 to a counter, and when the value of the counter reaches Z, indicating that the four tires of the electric vehicle are low pressure, and outputting a corresponding alarm signal; wherein ak is the acceleration of the average wheel speed of the wheel, am is the acceleration collected by the acceleration sensor, and beta is the set threshold value.
Compared with the prior art, the invention has the following advantages and effects: the invention provides an indirect tire pressure detection method based on a perimeter method, wherein a processed wheel speed signal can be directly used for judging low pressure information of a tire and giving a low pressure alarm; the method adopted by the invention has simple calculation mode and high calculation speed, and can well reflect the tire pressure condition of the automobile tire in real time; and need not increase extra detecting instrument, also need not to reform transform the well accuse part of car, reform transform the upgrading simple.
Drawings
Fig. 1 is a flowchart of a four-wheel indirect tire pressure detecting method based on the motor wheel speed of an electric vehicle according to the present invention.
Fig. 2 is a reference sequence setting flowchart of the present invention.
Fig. 3 is a flow chart of the low pressure determination of the present invention.
Fig. 4 is a table look-up converted from a reference sequence to a reference number and a schematic diagram of a tire pressure condition corresponding to the reference number according to the present invention.
Detailed Description
To elaborate on technical solutions adopted by the present invention to achieve predetermined technical objects, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, it is obvious that the described embodiments are only partial embodiments of the present invention, not all embodiments, and technical means or technical features in the embodiments of the present invention may be replaced without creative efforts, and the present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.
As shown in fig. 1, the invention discloses a four-wheel indirect tire pressure detecting method based on the motor wheel speed of an electric vehicle, comprising the following steps:
the method comprises the following steps: judging whether the electric vehicle is in a straight-going state or not;
and judging the state of the electric vehicle, judging that the electric vehicle is in a straight running state and starting to perform tire pressure detection when the vehicle speed reaches 25km/h and the steering wheel angle is less than 10 degrees. And resetting when the electric vehicle is parked, wherein the resetting process is to clear data after the door of the driving side is opened, and clear the output. By judging the running state of the vehicle, the aim is to collect data when the vehicle runs stably and reduce extra interference; the driver-side door state signal represents one of the operational purposes of the driver, and may serve as a flag for vehicle information update.
The electric vehicle is internally provided with a data storage unit, the data storage unit stores data related to error elimination and mean value filtering, and stores results of radius analysis value calculation, critical value setting and tire low-pressure information output.
Step two: eliminating motor wheel speed signal errors of four wheels of the electric vehicle;
processing motor wheel speed signals of the four wheels, eliminating the difference of the four motor wheel speed signals, counting the four-wheel rotating speed and the vehicle relative speed under the normal condition of the tire pressure, screening out data of a section with a smooth speed, calculating the ratio of the four-wheel rotating speed to the four-wheel average rotating speed after a series of filtering processing, and taking the ratio as an error correction coefficient.
The error elimination of the motor wheel speed signal processes the acquired signal according to a certain proportionality coefficient, when the signal is closer to a certain relative speed, the theoretical value of the motor wheel speed is obtained, and the proportionality coefficient is calculated by the vehicle relative speed and the motor wheel speed signal when the tire is in a normal tire pressure.
Step three: filtering the mean value of the motor wheel speed signals; and integrating the signals with the errors eliminated according to a certain interval, taking the average value, and eliminating signal interference to enable the data curve to be smoother.
Setting a numerical value as the length of a data segment during filtering, summing and averaging the data of the length to obtain wheel speed signals V1, V2, V3 and V4 and an average wheel speed signal Vk;
v1, V2, V3, V4 are the left front, right front, left rear, right rear wheel speeds of the vehicle, respectively, and the average wheel speed signal Vk = (V1+ V2+ V3+ V4)/4.
Step four: setting a reference number, setting a corresponding critical value according to the calculated radius analysis value, setting the reference number sequence according to the critical value, and setting the reference number according to the reference sequence;
after the radius analysis value is calculated, setting a critical value according to the result, comparing the critical value with the radius analysis value, setting a reference sequence according to the comparison result, and finally judging the tire pressure condition of the tire according to the reference sequence;
the critical value is dynamically generated along with the change of the radius analysis value, after the calculated radius analysis value is obtained, the arithmetic summation is carried out on the result, the absolute value operation is carried out on the summation result, and the summation result is set as the critical value after the average value is obtained;
comparing the calculated radius analysis value with a set critical value, changing the reference sequence into a theoretical value, and setting the theoretical value as a reference number for judgment;
the reference sequence is changed to a positive theoretical value when the calculated radius analysis value is greater than the set critical value, to a negative theoretical value when the calculated radius analysis value is less than the negative value of the set critical value, and to a theoretical value of 0 when the absolute value of the calculated radius analysis value is less than the set critical value.
The radius analysis value of the front and rear wheels is D1= [ (V1+ V2)/2- (V3+ V4)/2 ]/Vk; the radius analysis value of the left and right wheels is D2= [ (V1+ V3)/2- (V2+ V4)/2 ]/Vk; the analysis value of the diagonal wheel radius is D3= [ (V1+ V4)/2- (V2+ V3)/2 ]/Vk; wherein V1, V2, V3 and V4 are the wheel speeds of the left front wheel, the right front wheel, the left rear wheel and the right rear wheel of the vehicle respectively, and Vk is an average wheel speed signal;
setting a critical value, summing and averaging the three radius analysis values obtained by calculation, and setting the result as a critical value A after absolute value operation is carried out;
setting reference numbers, wherein the reference sequences B1, B2 and B3 correspond to radius analysis values D1, D2 and D3; if the radius analysis value Di is positioned in the critical judgment domain [ A, -A ], setting a reference sequence Bi as 1; if the radius analysis value Di is larger than the critical value A, setting the reference sequence Bi to be 2; if the radius analysis value Di is smaller than the critical value-A, setting the reference sequence Bi as 0; the set reference sequence is arranged according to B1B2B3, and then table look-up conversion is carried out to obtain a reference number B.
Step five: judging the low pressure by the probability distribution, counting the reference number in the data storage unit, calculating the probability distribution, and judging the low pressure condition of the vehicle tire according to the probability distribution of the reference number;
calculating the probability distribution and judging the tire pressure of the wheel, counting the reference numbers in the data storage unit after the reference numbers are converted, calculating the probability distribution of different reference numbers, and outputting the tire pressure information corresponding to a certain reference number if the probability distribution of the reference number is far greater than the probability distribution of other reference numbers;
the probability distribution of the reference number i is denoted Pi = Ci/Z; pi represents the probability that the reference number is i, Ci represents the frequency of the reference number i in the data storage unit, and Z represents the total frequency of the reference number.
Step six: and (3) vehicle acceleration verification, namely comparing a signal acquired by a vehicle acceleration sensor with the acceleration of a motor wheel speed signal, setting a corresponding threshold value, and verifying the tire pressure conditions of four wheels.
Judging low pressure according to the acceleration of the automobile, calculating the acceleration of the wheel, comparing the calculated acceleration with a signal acquired by an acceleration sensor, if the value of ak-am beta is greater than beta, indicating that four tires of the automobile are short of air, adding 1 to a counter, and when the value of the counter reaches Z, indicating that the four tires of the electric vehicle are low pressure, and outputting a corresponding alarm signal; wherein ak is the acceleration of the average wheel speed of the wheel, am is the acceleration collected by the acceleration sensor, and beta is the set threshold value.
The invention provides an indirect tire pressure detection method based on a perimeter method, wherein a processed wheel speed signal can be directly used for judging low pressure information of a tire and giving a low pressure alarm; the method adopted by the invention has simple calculation mode and high calculation speed, and can well reflect the tire pressure condition of the automobile tire in real time; and need not increase extra detecting instrument, also need not to reform transform the well accuse part of car, reform transform the upgrading simple.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A four-wheel indirect tire pressure detection method based on the speed of an electric vehicle motor wheel is characterized by comprising the following steps:
the method comprises the following steps: judging whether the electric vehicle is in a straight-going state or not;
step two: eliminating motor wheel speed signal errors of four wheels of the electric vehicle;
step three: filtering the mean value of the motor wheel speed signals;
step four: setting a reference number, setting a corresponding critical value according to the calculated radius analysis value, setting the reference number sequence according to the critical value, and setting the reference number according to the reference sequence;
step five: judging the low pressure by the probability distribution, counting the reference number in the data storage unit, calculating the probability distribution, and judging the low pressure condition of the vehicle tire according to the probability distribution of the reference number;
step six: and (3) vehicle acceleration verification, namely comparing a signal acquired by a vehicle acceleration sensor with the acceleration of a motor wheel speed signal, setting a corresponding threshold value, and verifying the tire pressure conditions of four wheels.
2. The four-wheel indirect tire pressure detecting method based on the motor wheel speed of the electric vehicle as claimed in claim 1, wherein: the step one is specifically to judge the state of the electric vehicle, and when the vehicle speed reaches 25km/h and the steering wheel angle is less than 10 degrees, the electric vehicle is judged to be in a straight running state and the tire pressure detection is started.
3. The four-wheel indirect tire pressure detecting method based on the motor wheel speed of the electric vehicle as claimed in claim 1, wherein: in the first step, the electric vehicle is reset when being stopped, and the resetting process is to clear data after a vehicle door at a driving side is opened and clear output.
4. The four-wheel indirect tire pressure detecting method based on the motor wheel speed of the electric vehicle as claimed in claim 1, wherein: and step two, specifically, the motor wheel speed signals of the four wheels are processed, the difference of the four motor wheel speed signals is eliminated, the four-wheel rotating speed and the vehicle relative speed under the normal condition of the tire pressure are counted, data in a section with a smooth speed are screened out, the ratio of the four-wheel rotating speed to the four-wheel average rotating speed is calculated after a series of filtering processing is carried out, and the ratio is used as an error correction coefficient.
5. The four-wheel indirect tire pressure detecting method based on the motor wheel speed of the electric vehicle as claimed in claim 1, wherein: the third step is specifically that
Setting a numerical value as the length of a data segment during filtering, summing and averaging the data of the length to obtain wheel speed signals V1, V2, V3 and V4 and an average wheel speed signal Vk;
v1, V2, V3, V4 are the left front, right front, left rear, right rear wheel speeds of the vehicle, respectively, and the average wheel speed signal Vk = (V1+ V2+ V3+ V4)/4.
6. The four-wheel indirect tire pressure detecting method based on the motor wheel speed of the electric vehicle as claimed in claim 1, wherein: the fourth step is specifically that
After the radius analysis value is calculated, setting a critical value according to the result, comparing the critical value with the radius analysis value, setting a reference sequence according to the comparison result, and finally judging the tire pressure condition of the tire according to the reference sequence;
the critical value is dynamically generated along with the change of the radius analysis value, after the calculated radius analysis value is obtained, the arithmetic summation is carried out on the result, the absolute value operation is carried out on the summation result, and the summation result is set as the critical value after the average value is obtained;
comparing the calculated radius analysis value with a set critical value, changing the reference sequence into a theoretical value, and setting the theoretical value as a reference number for judgment;
the reference sequence is changed to a positive theoretical value when the calculated radius analysis value is greater than the set critical value, to a negative theoretical value when the calculated radius analysis value is less than the negative value of the set critical value, and to a theoretical value of 0 when the absolute value of the calculated radius analysis value is less than the set critical value.
7. The four-wheel indirect tire pressure detecting method based on the motor wheel speed of the electric vehicle as claimed in claim 6, wherein: the radius analysis value of the front and rear wheels is D1= [ (V1+ V2)/2- (V3+ V4)/2 ]/Vk; the radius analysis value of the left and right wheels is D2= [ (V1+ V3)/2- (V2+ V4)/2 ]/Vk; the analysis value of the diagonal wheel radius is D3= [ (V1+ V4)/2- (V2+ V3)/2 ]/Vk; wherein V1, V2, V3 and V4 are the wheel speeds of the left front wheel, the right front wheel, the left rear wheel and the right rear wheel of the vehicle respectively, and Vk is an average wheel speed signal;
setting a critical value, summing and averaging the three radius analysis values obtained by calculation, and setting the result as a critical value A after absolute value operation is carried out;
setting reference numbers, wherein the reference sequences B1, B2 and B3 correspond to radius analysis values D1, D2 and D3; if the radius analysis value Di is positioned in the critical judgment domain [ A, -A ], setting a reference sequence Bi as 1; if the radius analysis value Di is larger than the critical value A, setting the reference sequence Bi to be 2; if the radius analysis value Di is smaller than the critical value-A, setting the reference sequence Bi as 0; the set reference sequence is arranged according to B1B2B3, and then table look-up conversion is carried out to obtain a reference number B.
8. The four-wheel indirect tire pressure detecting method based on the motor wheel speed of the electric vehicle as claimed in claim 1, wherein: the fifth step is specifically that
Calculating the probability distribution and judging the tire pressure of the wheel, counting the reference numbers in the data storage unit after the reference numbers are converted, calculating the probability distribution of different reference numbers, and outputting the tire pressure information corresponding to a certain reference number if the probability distribution of the reference number is far greater than the probability distribution of other reference numbers;
the probability distribution of the reference number i is denoted Pi = Ci/Z; pi represents the probability that the reference number is i, Ci represents the frequency of the reference number i in the data storage unit, and Z represents the total frequency of the reference number.
9. The four-wheel indirect tire pressure detecting method based on the motor wheel speed of the electric vehicle as claimed in claim 1, wherein: the sixth step is specifically that
Judging low pressure according to the acceleration of the automobile, calculating the acceleration of the wheel, comparing the calculated acceleration with a signal acquired by an acceleration sensor, if the value of ak-am beta is greater than beta, indicating that four tires of the automobile are short of air, adding 1 to a counter, and when the value of the counter reaches Z, indicating that the four tires of the electric vehicle are low pressure, and outputting a corresponding alarm signal; wherein ak is the acceleration of the average wheel speed of the wheel, am is the acceleration collected by the acceleration sensor, and beta is the set threshold value.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112019188A (en) * | 2020-08-28 | 2020-12-01 | 四川长虹电器股份有限公司 | Method for filtering electric equipment based on improved mean filtering algorithm |
| CN112339510A (en) * | 2020-11-24 | 2021-02-09 | 重庆集诚汽车电子有限责任公司 | Automatic calibration method for semi-indirect TPMS controller system |
| CN112622915A (en) * | 2020-12-25 | 2021-04-09 | 清华大学 | Tire pressure and wear loss monitoring method based on high-frequency wheel speed and machine learning |
| CN113619333A (en) * | 2021-09-08 | 2021-11-09 | 江苏吉麦新能源车业有限公司 | Control method for preventing tire pressure false alarm during charging of electric automobile |
| CN116142210A (en) * | 2023-04-21 | 2023-05-23 | 中国第一汽车股份有限公司 | Tire difference identification method, device, electronic equipment and storage medium |
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| CN112339510B (en) * | 2020-11-24 | 2022-05-24 | 重庆集诚汽车电子有限责任公司 | Automatic calibration method for semi-indirect TPMS controller system |
| CN112622915A (en) * | 2020-12-25 | 2021-04-09 | 清华大学 | Tire pressure and wear loss monitoring method based on high-frequency wheel speed and machine learning |
| CN112622915B (en) * | 2020-12-25 | 2022-05-17 | 清华大学 | Tire pressure and wear loss monitoring method based on high-frequency wheel speed and machine learning |
| CN113619333A (en) * | 2021-09-08 | 2021-11-09 | 江苏吉麦新能源车业有限公司 | Control method for preventing tire pressure false alarm during charging of electric automobile |
| CN116142210A (en) * | 2023-04-21 | 2023-05-23 | 中国第一汽车股份有限公司 | Tire difference identification method, device, electronic equipment and storage medium |
| CN116142210B (en) * | 2023-04-21 | 2023-06-30 | 中国第一汽车股份有限公司 | Tire difference identification method, device, electronic equipment and storage medium |
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