CN113982931A - Method for calculating service life requirement of electronic vacuum pump - Google Patents
Method for calculating service life requirement of electronic vacuum pump Download PDFInfo
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- CN113982931A CN113982931A CN202111037234.XA CN202111037234A CN113982931A CN 113982931 A CN113982931 A CN 113982931A CN 202111037234 A CN202111037234 A CN 202111037234A CN 113982931 A CN113982931 A CN 113982931A
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000004364 calculation method Methods 0.000 claims description 21
- 239000006185 dispersion Substances 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 5
- 238000005086 pumping Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
- F04C28/00—Control of, monitoring of, or safety arrangements for, pumps or pumping installations specially adapted for elastic fluids
- F04C28/28—Safety arrangements; Monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
- F04C23/00—Combinations of two or more pumps, each being of rotary-piston or oscillating-piston type, specially adapted for elastic fluids; Pumping installations specially adapted for elastic fluids; Multi-stage pumps specially adapted for elastic fluids
- F04C23/02—Pumps characterised by combination with, or adaptation to, specific driving engines or motors
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
- F04C25/00—Adaptations of pumps for special use of pumps for elastic fluids
- F04C25/02—Adaptations of pumps for special use of pumps for elastic fluids for producing high vacuum
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/04—Ageing analysis or optimisation against ageing
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- Evolutionary Computation (AREA)
- Valves And Accessory Devices For Braking Systems (AREA)
Abstract
The invention relates to the technical field of electronic vacuum pumps, in particular to a method for calculating the service life requirement of an electronic vacuum pump. A method for calculating the service life requirement of an electronic vacuum pump comprises the electronic vacuum pump, and is characterized by comprising the following steps: s1, initializing setting; s2, dispersing brake deceleration data of the life cycle of the whole vehicle; s3, dispersing vehicle speed data in the life cycle of the whole vehicle; s4, dispersing the data of the working threshold value of the electronic vacuum pump; s5, scattering vacuum degree-braking deceleration change curve data; s6, randomly distributing the braking deceleration and the vehicle speed; s7, dispersing an air suction speed curve; s8, knotBeam vacuum degree P1Calculating (1); s9, updating the working times and time of the electronic vacuum pump; s10, updating the vacuum degree input P1(ii) a And S11, simulating the working cycle of the electronic vacuum pump. Compared with the prior art, the design of the electronic vacuum pump product can be guided, the development cycle of the electronic vacuum pump is shortened, and the braking safety performance of the vehicle is improved.
Description
Technical Field
The invention relates to the technical field of electronic vacuum pumps, in particular to a method for calculating the service life requirement of an electronic vacuum pump.
Background
The automobile braking system is closely related to the active safety of the vehicle, the stable braking function can greatly improve the safety performance of the vehicle, and the automobile braking system is also an important link in the development stage of the vehicle. Generally, a vacuum boosting device is arranged between a brake pedal and a brake actuating mechanism (brake) in a braking process, pedal force is amplified by utilizing vacuum pressure difference so as to achieve a braking effect, and an engine is adopted in a traditional fuel vehicle to vacuumize.
With the development of new energy technology of automobiles, the proportion of new energy automobiles is increased. Particularly, the pure electric vehicle is not provided with an engine and cannot provide vacuum pressure difference in a traditional mode, the electronic vacuum pump plays a key role in the vacuum boosting process, and the change of vacuum in the supercharger is monitored through the vacuum sensor, so that the full supercharging effect under various driving conditions is ensured, the driving safety of the vehicle is ensured, and the electronic vacuum pump can also be used for the traditional fuel oil vehicle.
After braking at every turn, booster vacuum differential pressure changes, and electron vacuum pump probably participates in work, and work has the life-span consumption certainly, and in the whole life cycle of vehicle, the braking number of times under the different operating mode of different motorcycle types is all inequality, and electron vacuum pump's life-span consumption is also inequality, and the life-span requirement is different promptly. After an electronic vacuum pump of a certain model is designed, the actual service life is fixed, and whether the actual service life of the electronic vacuum pump can meet the service life requirement is important, which is about the design of products and the safety of vehicles.
Disclosure of Invention
The invention provides a method for calculating the service life requirement of an electronic vacuum pump to overcome the defects of the prior art, which can guide the design of electronic vacuum pump products, shorten the development period of the electronic vacuum pump and improve the braking safety performance of vehicles.
In order to achieve the purpose, the method for calculating the service life requirement of the electronic vacuum pump comprises the electronic vacuum pump and is characterized by comprising the following steps:
s1, initializing setting: inputting the initial vacuum degree, the braking times, the initial working times and the time of the electronic vacuum pump, and selecting a braking deceleration distribution curve, a vehicle speed-threshold value curve, a vacuum degree-pumping rate curve and a vacuum degree-braking deceleration consumption curve according to requirements;
s2, dispersing braking deceleration data of the whole vehicle life cycle: dispersing a continuous braking deceleration distribution curve according to the running condition of the vehicle, and uniformly dispersing the continuous braking deceleration distribution curve in a corresponding interval according to different braking deceleration ratio times;
s3, dispersing vehicle speed data in the life cycle of the whole vehicle: dispersing a continuous vehicle speed distribution curve according to the vehicle running application range, and uniformly dispersing the vehicle speed in a corresponding interval on the basis of the braking deceleration number N and the corresponding vehicle speed distribution proportion;
s4, dispersing the data of the working threshold value of the electronic vacuum pump: dispersing the vehicle speed-threshold value curve, enabling different vehicle speeds to correspond to the opening and closing threshold values of the electronic vacuum pump one by one, and determining the threshold values of the electronic vacuum pump under different vehicle speeds so as to judge whether the electronic vacuum pump works after braking;
s5, scattering the data of the vacuum degree-braking deceleration change curve: discretizing a curve of the vacuum degree along with the change of the braking deceleration, and determining the relation between the change of the vacuum degree and the braking deceleration under different vacuum degree inputs;
and S6, randomly distributing the braking deceleration and the vehicle speed: in each calculation, the discrete braking deceleration sequence and the discrete vehicle speed sequence are randomly disordered and randomly paired, so that the sequence is more consistent with the actual braking process;
s7, air suction speed curve dispersion: dispersing the curve of the vacuum degree-time of the air extraction, and using the curve for time interpolation calculation under different vacuum differences;
s8, ending the vacuum degree P1The calculation of (2): vacuum degree P based on the beginning of braking0Based on the relationship between the vacuum level and the brake deceleration in step S5, the brake end vacuum level P is calculated1；
S9, updating the working times and time of the electronic vacuum pump: according to P1Judging whether the electronic vacuum pump works or not, if so, increasing the working times once, and updating the working time once;
s10, updating the vacuum degree input P1: if the electronic vacuum pump is operated, P1Is updated to PoffFor input of the next cycle, otherwise P1The calculation is directly used for the next cycle calculation without change;
s11, simulating the working cycle of the electronic vacuum pump: and circulating for N times to obtain the working times of the electronic vacuum pump in the life cycle of the whole vehicle and the accumulated required working time.
The initialization setting is that the working frequency of a brand-new electronic vacuum pump is 0, and the working time is 0 hour.
Compared with the prior art, the method for calculating the service life requirement of the electronic vacuum pump can guide the design of electronic vacuum pump products, shorten the development period of the electronic vacuum pump and improve the braking safety performance of vehicles.
The method can calculate the service life requirement of the electronic vacuum pump under different working conditions of different vehicle types, and compares the service life requirement with the actual service life of the electronic vacuum pump so as to guide the design of the electronic vacuum pump.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The invention is further illustrated below with reference to the accompanying drawings.
As shown in fig. 1, a method for calculating a lifetime requirement of an electronic vacuum pump includes the following steps:
s1, initializing setting: inputting the initial vacuum degree, the braking times, the initial working times and the time of the electronic vacuum pump, and selecting a braking deceleration distribution curve, a vehicle speed-threshold value curve, a vacuum degree-pumping rate curve and a vacuum degree-braking deceleration consumption curve according to requirements;
s2, dispersing braking deceleration data of the whole vehicle life cycle: dispersing a continuous braking deceleration distribution curve according to the running condition of the vehicle, and uniformly dispersing the continuous braking deceleration distribution curve in a corresponding interval according to different braking deceleration ratio times;
s3, dispersing vehicle speed data in the life cycle of the whole vehicle: according to the application range of the vehicle, dispersing a continuous vehicle speed distribution curve, and uniformly dispersing the vehicle speed in a corresponding interval on the basis of the braking deceleration number N and the corresponding vehicle speed distribution proportion;
s4, dispersing the data of the working threshold value of the electronic vacuum pump: dispersing the vehicle speed-threshold value curve, enabling different vehicle speeds to correspond to the opening and closing threshold values of the electronic vacuum pump one by one, and determining the threshold values of the electronic vacuum pump under different vehicle speeds so as to judge whether the electronic vacuum pump works after braking;
s5, scattering the data of the vacuum degree-braking deceleration change curve: discretizing a curve of the vacuum degree along with the change of the braking deceleration, and determining the relation between the change of the vacuum degree and the braking deceleration under different vacuum degree inputs;
and S6, randomly distributing the braking deceleration and the vehicle speed: in each calculation, the discrete braking deceleration sequence and the discrete vehicle speed sequence are randomly disordered and randomly paired, so that the sequence is more consistent with the actual braking process;
s7, air suction speed curve dispersion: dispersing the curve of the vacuum degree-time of the air extraction, and using the curve for time interpolation calculation under different vacuum differences;
s8, ending the vacuum degree P1The calculation of (2): vacuum degree P based on the beginning of braking0Based on the relationship between the vacuum level and the braking deceleration in step S5, the braking end vacuum level P is calculated1；
S9, updating the working times and time of the electronic vacuum pump: according to P1The value judges whether the electronic vacuum pump works or not,if yes, the working frequency is increased once, and the working time is updated once;
s10, updating the vacuum degree input P1: if the electronic vacuum pump is operated, P1Is updated to PoffFor input of the next cycle, otherwise P1The calculation is directly used for the next cycle calculation without change;
s11, simulating the working cycle of the electronic vacuum pump: and circulating for N times to obtain the working times of the electronic vacuum pump in the life cycle of the whole vehicle and the accumulated required working time.
And (4) initializing, wherein the working times of a brand-new electronic vacuum pump are 0, and the working time is 0 hour.
Example (b):
the method comprises the following steps: setting the initial working times and time of the electronic vacuum pump, and if the electronic vacuum pump is a brand new electronic vacuum pump, setting the working times to be 0 and the working time to be 0 hour.
Step two: setting initial vacuum degree to P0The number of braking times is N, for example: n1500000 times.
Step three: the braking deceleration profile is selected according to the vehicle running condition.
Step four: the vehicle speed distribution is selected according to the vehicle application range.
Step five: the vehicle speed-threshold distribution is selected according to customer requirements.
Step six: and selecting a vacuum degree-air exhaust rate curve according to a motor of the electronic vacuum pump and a matched booster.
Step seven: and selecting a vacuum degree-braking deceleration consumption curve according to the information of the vehicle, the calipers and the booster.
Step eight: for step three, data of the continuous distribution of the braking deceleration is dispersed, for example, the vehicle runs 300000km, and braking is performed for 5 times per km, so that the number of times of braking deceleration is N-1500000 (the same as step two), and the number of times of occurrence of each braking deceleration is obtained after dispersion.
A braking deceleration range of 0g to 1g, each range having a corresponding number of occurrences, and a braking deceleration distribution of, for example, 425000 occurrences of n in the range of 0.1g to 0.15g based on the selected braking deceleration distributionFirst term of arithmetic series a00.1, last item an0.15, tolerance d (0.15-0.1)/424999, and data is stored in a software program, denoted as a _010_015, line space (0.1,0.15,425000).
Step nine: and aiming at the fourth step, the data of the continuous distribution of the vehicle speed are dispersed, the total data amount is the same as that of the second step N, and the occurrence frequency of each vehicle speed is obtained after dispersion.
The vehicle speed ranges from 0km/h to 100km/h, the vehicle speed in each range has corresponding occurrence times, and based on the selected vehicle speed distribution, for example, the vehicle speed ranges from 10km/h to 15km/h, and n is 108000 times in the range, an arithmetic series first term v is constructed010km/h, the last term vn15km/h, tolerance d (15-10)/107999, and the data is stored in a software program, denoted v _010_015 as line space (10,15,108000).
Step ten: and dispersing the vehicle speed-threshold distribution to obtain the opening and closing thresholds of the electronic vacuum pump at different vehicle speeds.
Based on the vehicle speed distribution data in step nine, for example, in v _010_015 ═ line space (10,15,108000), taking a certain threshold distribution as an example, the upper threshold limit P is set to be equal tooff0.77, lower threshold Pon0.7, the configuration list p _010_015_ seo _ off is [0.77 ═ m]*108000，p_010_015_seo_on＝[0.7]108000, assembled with the vehicle speed list, stored in the software program as v _ p _010_015_ seo — list (zip (v _010_015, p _010_015_ seo _ on, p _010_015_ seo _ off)).
If the threshold value varies with the vehicle speed within the vehicle speed range, the threshold value is expressed by a functional expression, for example, a certain threshold value variation is expressed as p _010_015_ seo _ on [ [0.5 × v _010_015[ i ] +0.55for i in range (108000) ], and p _010_015_ seo _ off [ [0.6 v _010_015[ i ] +0.75for i in range (108000) ].
Step eleven: and aiming at the seventh step, performing vacuum degree-braking deceleration consumption curve data dispersion to obtain the change relation of different vacuum degrees to different braking decelerations under the requirements of different vehicles, calipers and boosters.
And (3) carrying out data dispersion on the selected vacuum degree-braking deceleration consumption curve (0.1 vacuum degree interval and 0.1g braking deceleration interval), and storing the data for subsequent interpolation calculation of vacuum degree changes under various vacuum degree inputs and various braking deceleration inputs.
Step twelve: and (5) dispersing the vacuum degree-pumping rate curve to obtain time corresponding to different vacuum degrees for interpolation calculation of time difference when the subsequent vacuum degrees change.
With a discrete curve of 0.1 vacuum degree interval, for example, when a motor of a certain model is matched with a booster of a certain size, the relation between the air suction time and the vacuum degree is
And the method is used for calculating the air extraction time points t corresponding to different vacuum degrees p and is used for calculating the time consumption in the following process.
Step thirteen: aiming at the step eight, the discrete braking deceleration is sequentially and randomly generated
Based on the brake deceleration in step eight, the assembly brake deceleration is brake _ apply ═ a _00+ a _00_005+ a _005_010+ … … + a _095_100, and an operation random.
Fourteen steps: and step nine, performing sequential random generation on the discrete vehicle speeds.
Based on the vehicle speed in step nine, the assembly vehicle speed is speed _ apply ═ v _00+ v _00_005+ v _005_010+ … … + v _095_100, and the operation random.
Step fifteen: based on the thirteen steps and the fourteen steps, the brake deceleration and the vehicle speed are randomly distributed, and a random brake deceleration-vehicle speed pair is obtained.
The assembly steps thirteen and fourteen are brake _ speed _ application ═ list (zip), each of which is a random brake deceleration-vehicle speed pair.
Sixthly, the steps are as follows: based on step fifteen, a brake deceleration-vehicle speed pair is randomly selected for calculation.
Simulating the working process of the electronic vacuum pump of the real vehicle, and randomly selecting a brake deceleration-vehicle speed pair from the shake _ speed _ apply in the step fifteen for calculation.
Seventeen steps: based on current brake deceleration and vacuum level (P)0Or P1) Based on the eleven-step basic discrete data, interpolation is carried out to calculate the vacuum degree P for ending the braking1。
Simulating the real vehicle process, and interpolating to obtain the vacuum degree P after braking based on the braking deceleration and the current vacuum degree in the random braking deceleration-vehicle speed pair in the step sixteen and based on the basic discrete data in the step eleven1In the process, different vacuum degree-braking deceleration virtual curves are generated by real-time interpolation according to different braking decelerations a and P0Find P1Values of (A), e.g. under certain vehicle type, caliper, booster requirements, P1And P0And the relationship of a is expressed as
Knowing the degree of vacuum P before braking0And the braking deceleration a, the vacuum degree P of the braking end can be obtained1。
Eighteen steps: according to the corresponding electronic vacuum pump opening and closing threshold value (P) of the current vehicle speedon/Poff) Judging whether the electronic vacuum pump works once, if P1<PonIf the electronic vacuum pump works once, the total working times is increased by one, the working time is calculated based on the step twelve, the accumulated working time of the electronic vacuum pump is updated once, and P is updated1The value of (c).
Comparing P calculated in step seventeen1The working threshold value P in the step ten corresponding to the vehicle speed in the step sixteenonIf P is1<PonIf the working frequency of the electronic vacuum pump is +1, combining the threshold relation in the step ten to obtain the current threshold PoffAnd current P1Calculating the corresponding time point t by combining the air extraction curves in the step twelveoffAnd tp1Accumulation of working time of the electronic vacuum pumptoff-tp1。
Nineteen steps: and sixthly, seventeenth and eighteenth steps are repeated, the working times and the working time of the electronic vacuum pump are updated, and the total working times and the total working time in the whole vehicle life cycle are obtained.
And (5) circulating N times (synchronous fifteen, for example, N is 1500000), and obtaining the accumulated working times of the electronic vacuum pump and the accumulated required working time of the whole vehicle life cycle.
And traversing all the items in the step fifteen by adopting a for loop simulation, and executing the step seventeen and the step eighteen for each item in the step fifteen by adopting the following processes: seventeen steps are executed to obtain P1(ii) a Eighteen, judge whether to update P1(ii) a If yes, updating P1Is PoffOnce the electronic vacuum pump works, the working times are increased by one, and the accumulated working time is increased by toff-tp1New P1For the next calculation; if not, not updating P1Electronic vacuum pump not in operation, P1Directly used for the next calculation; return, total number of operations ntotalTotal working time ttotal。
The total mileage of a vehicle in a certain project is 210000km, 6 times of braking are carried out per km, the total braking times are 1260000 times, the working times of the electronic vacuum pump are about 561000 times, and the working time of the electronic vacuum pump is about 553.4667 hours.
The result calculated according to the method of the invention is that the working times of the electronic vacuum pump are 593676 times, and the deviation compared with the actual vehicle test is: (593676-561000)/561000-5.8246%.
The working time of the electronic vacuum pump is about 583.887 hours, and the deviation compared with the real vehicle test is as follows: (583.887-553.4667)/553.4667 ═ 5.4963%.
The deviation was confirmed to be within a reasonable range as shown in table 1.
TABLE 1
| Test in real vehicle | The method of the invention | Δ％ | |
| Total number of brakes | 1260000 | 1260000 | |
| Number of times of operation of electronic vacuum pump | 561000 | 593676 | 5.8246 |
| Working time (hours) of electronic vacuum pump | 553.4667 | 583.887 | 5.4963 |
Claims (2)
1. A method for calculating the service life requirement of an electronic vacuum pump comprises the electronic vacuum pump, and is characterized by comprising the following steps:
s1, initializing setting: inputting the initial vacuum degree, the braking times, the initial working times and the time of the electronic vacuum pump, and selecting a braking deceleration distribution curve, a vehicle speed-threshold value curve, a vacuum degree-pumping rate curve and a vacuum degree-braking deceleration consumption curve according to requirements;
s2, dispersing braking deceleration data of the whole vehicle life cycle: dispersing a continuous braking deceleration distribution curve according to the running condition of the vehicle, and uniformly dispersing the continuous braking deceleration distribution curve in a corresponding interval according to different braking deceleration ratio times;
s3, dispersing vehicle speed data in the life cycle of the whole vehicle: dispersing a continuous vehicle speed distribution curve according to the vehicle running application range, and uniformly dispersing the vehicle speed in a corresponding interval on the basis of the braking deceleration number N and the corresponding vehicle speed distribution proportion;
s4, dispersing the data of the working threshold value of the electronic vacuum pump: dispersing the vehicle speed-threshold value curve, enabling different vehicle speeds to correspond to the opening and closing threshold values of the electronic vacuum pump one by one, and determining the threshold values of the electronic vacuum pump under different vehicle speeds so as to judge whether the electronic vacuum pump works after braking;
s5, scattering the data of the vacuum degree-braking deceleration change curve: discretizing a curve of the vacuum degree along with the change of the braking deceleration, and determining the relation between the change of the vacuum degree and the braking deceleration under different vacuum degree inputs;
and S6, randomly distributing the braking deceleration and the vehicle speed: in each calculation, the discrete braking deceleration sequence and the discrete vehicle speed sequence are randomly disordered and randomly paired, so that the sequence is more consistent with the actual braking process;
s7, air suction speed curve dispersion: dispersing the curve of the vacuum degree-time of the air extraction, and using the curve for time interpolation calculation under different vacuum differences;
s8, ending the vacuum degree P1The calculation of (2): vacuum degree P based on the beginning of braking0Based on the relationship between the vacuum level and the brake deceleration in step S5, the brake end vacuum level P is calculated1；
S9, updating the working times and time of the electronic vacuum pump: according to P1Judging whether the electronic vacuum pump works or not, if so, increasing the working times once, and updating the working time once;
s10, updating the vacuum degree input P1: if the electronic vacuum pump is operated, P1Is updated to PoffFor input of the next cycle, otherwise P1The calculation is directly used for the next cycle calculation without change;
s11, simulating the working cycle of the electronic vacuum pump: and circulating for N times to obtain the working times of the electronic vacuum pump in the life cycle of the whole vehicle and the accumulated required working time.
2. A method for calculating a lifetime requirement for an electronic vacuum pump according to claim 1, wherein: the initialization setting is that the working frequency of a brand-new electronic vacuum pump is 0, and the working time is 0 hour.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050218716A1 (en) * | 2004-04-01 | 2005-10-06 | Collins James F | Brake booster vacuum prediction algorithm and method of use therefor |
| SE0700828L (en) * | 2007-04-03 | 2008-10-04 | Delaval Holding Ab | A method in a milking system to create the required vacuum level and computer program products |
| JP2009197602A (en) * | 2008-02-19 | 2009-09-03 | Ebara Corp | Service life degree forecasting method of electronic component of vacuum pump device and vacuum pump device |
| CN102416941A (en) * | 2011-10-29 | 2012-04-18 | 北京长安汽车工程技术研究有限责任公司 | Method and device for matching pure electric vehicle and braking vacuum pump |
| KR20140070683A (en) * | 2012-11-06 | 2014-06-11 | 주식회사 만도 | Apparatus for controlling electric vacuum pump and method for controlling thereof |
| CN106494258A (en) * | 2016-09-18 | 2017-03-15 | 东风襄阳旅行车有限公司 | Electric automobile vacuum servo and motor composite braking system and brake control method |
| CN107380152A (en) * | 2017-08-01 | 2017-11-24 | 风度（常州）汽车研发院有限公司 | A kind of vacuum boost system and electric automobile |
| CN111959480A (en) * | 2020-07-01 | 2020-11-20 | 神龙汽车有限公司 | Method for controlling electric vacuum pump |
| CN113071470A (en) * | 2021-05-08 | 2021-07-06 | 东风汽车集团股份有限公司 | Working time prediction system and method for electric automobile brake vacuum pump |
-
2021
- 2021-09-06 CN CN202111037234.XA patent/CN113982931A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050218716A1 (en) * | 2004-04-01 | 2005-10-06 | Collins James F | Brake booster vacuum prediction algorithm and method of use therefor |
| SE0700828L (en) * | 2007-04-03 | 2008-10-04 | Delaval Holding Ab | A method in a milking system to create the required vacuum level and computer program products |
| JP2009197602A (en) * | 2008-02-19 | 2009-09-03 | Ebara Corp | Service life degree forecasting method of electronic component of vacuum pump device and vacuum pump device |
| CN102416941A (en) * | 2011-10-29 | 2012-04-18 | 北京长安汽车工程技术研究有限责任公司 | Method and device for matching pure electric vehicle and braking vacuum pump |
| KR20140070683A (en) * | 2012-11-06 | 2014-06-11 | 주식회사 만도 | Apparatus for controlling electric vacuum pump and method for controlling thereof |
| CN106494258A (en) * | 2016-09-18 | 2017-03-15 | 东风襄阳旅行车有限公司 | Electric automobile vacuum servo and motor composite braking system and brake control method |
| CN107380152A (en) * | 2017-08-01 | 2017-11-24 | 风度（常州）汽车研发院有限公司 | A kind of vacuum boost system and electric automobile |
| CN111959480A (en) * | 2020-07-01 | 2020-11-20 | 神龙汽车有限公司 | Method for controlling electric vacuum pump |
| CN113071470A (en) * | 2021-05-08 | 2021-07-06 | 东风汽车集团股份有限公司 | Working time prediction system and method for electric automobile brake vacuum pump |
Non-Patent Citations (2)
| Title |
|---|
| 祝浩;徐家良;隋建鹏;: "电动汽车制动真空助力***真空度值可信度故障检测方法研究", 汽车科技, no. 04, 25 July 2020 (2020-07-25), pages 25 - 33 * |
| 黄金;李佳;李健;: "离心真空泵的气动设计技术探讨", 真空, no. 06, 25 November 2013 (2013-11-25), pages 51 - 56 * |
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