CN103745112A - Method for ensuring maximum residue failure rate of signal chain - Google Patents
Method for ensuring maximum residue failure rate of signal chain Download PDFInfo
- Publication number
- CN103745112A CN103745112A CN201410019802.7A CN201410019802A CN103745112A CN 103745112 A CN103745112 A CN 103745112A CN 201410019802 A CN201410019802 A CN 201410019802A CN 103745112 A CN103745112 A CN 103745112A
- Authority
- CN
- China
- Prior art keywords
- rate
- crash rate
- maximum
- elements
- remaining
- 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.)
- Granted
Links
Images
Landscapes
- Regulating Braking Force (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention provides a method for ensuring maximum residue failure rate of a signal chain in car safety completeness grade evaluation. The flow path of signals in signal chain evaluation can be used to ensure the maximum residue failure rate according to the following steps: acquiring corresponding PPM values for elements which can not acquire failure modes and corresponding failure rate, wherein the PPM values refer to bad element amount in the designated amount during a designated period; utilizing the acquired PPM values to acquire metering failure rate, acquire the minimum judgment identification rate in all failure modes related to the safety according to the above elements so as to further acquire maximum judgment non-identification rate of the elements; acquiring maximum residue failure rate of the elements related to the safety based on the metering failure rate of the elements and the minimum judgment non-identification rate; acquiring residue failure rate related to the security from the rest elements with failure modes and failure rate; acquiring maximum value of all residue failure rate of the signal chain according to the maximum residue failure rate of the elements.
Description
Technical field
The present invention relates to for determining the method for the remaining crash rate of maximum of automotive safety integrity level assessment signal chains, particularly, relate to the method that PPM data based on parts are determined the maximum remnants crash rate of signal chains.
Background technology
Along with popularizing of motor vehicles, the security of vehicle becomes person's of possessing (being user) questions of common interest of technician and motor vehicles.In recent years, in continuous lifting vehicle in the quality of various parts, also the controlling mechanism that has occurred a lot of raising vehicle overall security, electric brake system for example, such as anti-lock braking system ABS(Anti-lock Braking System), electronic stability controls ESC(Electronic Stability System) system etc.
ABS system can be arranged on any automobile with water brake.It utilizes a rubber pneumatic bag in valve body, when stepping on brake, gives brake fluid pressure, is full of in the valve body of ABS, and then the air buffer in the middle of air bag utilization returns to pressure, makes wheel keep away locked-up point.Particularly, ABS system is sent wheel by by the signal of locking by being arranged on sensor on wheel, controller demand regulator reduces the oil pressure of this wheel braking cylinder, reduce braking moment, after certain hour, recover again original oil pressure, constantly like this circulation (per second reaching 5～10 times), thus make wheel all the time in rotary state and there is maximum braking moment.
In contrast, the vehicle of ABS is not installed under steam, if firmly step on brake pedal, vehicle wheel rotational speed can reduce rapidly.When damping force surpasses the friction force on wheel and ground, wheel will be by locking, and the wheel of locking can make the friction force on tire and ground decline completely.If the front-wheel of vehicle is by locking, driver is by the travel direction of uncontrollable vehicle, if trailing wheel is by locking, with regard to as easy as rolling off a log appearance sideslip phenomenon.
Visible ABS system has improved the security in driving procedure effectively, and the fault detect of ABS system self just seems particularly important so.Fault comprises fault and mechanical fault etc., the fault of parts such as sensor in ABS system (comprising sensor coil resistance, rotor gear ring and sensor output signal etc.), brake-pressure controller, ECU (Electrical Control Unit).Therefore, in detection ABS system, the security of each parts is one of key factors of guarantee driving safety.
Except ABS system, the big and small various parts of a plurality of manufacturers produce in vehicle, have been comprised.And safe, the normal operation of each parts obviously plays vital effect to the overall security of vehicle.Existing assessment vehicle safety integrality method is, by the comprehensive assessment to failure mode, crash rate and the security mechanism of each element in a certain signal chains, learn the quantizating index such as remaining crash rate of this signal chains, and the index obtaining and set safety integrity level (for example, according to the regulation of road vehicle Functional Safety Standard ISO26262) are compared, thereby determine the automotive safety integrity level of whole piece signal chains.That the assessment of such signal chains automotive safety integrity level has become is the most basic in road vehicle functional safety, one of most important work.
Particularly, in such signal chains automotive safety integrity level evaluation process, need to understand the details of failure mode, crash rate and the security mechanism of each element in signal chains.Yet, in reality, these elements are conventionally from different (even external) suppliers, in view of some of them information often retains as the manufactured business of secret of the trade because relating to the core of product, cause that directly the automotive safety integrity level of signal chains is carried out to Efficient Evaluation brings obstacle.
For above-mentioned present situation, needs are a kind of can be in the situation that cannot know failure mode, crash rate and the security mechanism of some element of signal chains, the method that still can carry out safety integrity level assessment to this bars chain.
Summary of the invention
In order to solve or at least to alleviate the problems referred to above of the prior art, the invention provides a kind of by utilizing the PPM data of relevant elements in signal chains, determine the method for the remaining crash rate of maximum of signal chains, and then realize the automotive safety integrity level assessment of signal chains.
According to one embodiment of present invention, provide a kind of for determining the method for the remaining crash rate of maximum of automotive safety integrity level assessment signal chains, wherein, described signal chains refers to the path that in assessment, signal is flowed through, and by following steps, determines its maximum remaining crash rate:
Element for knowing its failure mode and corresponding crash rate, obtains its corresponding PPM value, and wherein, PPM value is this element failed part amount in specified quantity in set period;
Utilize the PPM value of the element obtaining, obtain the metering crash rate of this element;
For each said elements, obtain the Diagnosis with Minimum Cost discrimination in its security-related all failure modes, and then obtain the unidentified rate of maximum diagnosis of this element;
Metering crash rate based on this element and the unidentified rate of its maximum diagnosis, obtain the security-related remaining crash rate of described maximum of this element;
All the other elements to known failure pattern and crash rate, obtain its security-related remaining crash rate;
In conjunction with the remaining crash rate of maximum of said elements and the remaining crash rate of all the other elements, obtain the maximal value of the remaining crash rate of whole signal chains.
Alternatively, described signal chains comprises the electronic control unit of sensor and sensor-lodging, and wherein, the failure mode of described sensor and corresponding crash rate are unknown.Wherein, described electronic control unit is electric brake system.
Preferably, described sensor is wheel speed sensors, steering wheel angle sensor and/or vacuum sensor, and described electric brake system is electronic stability controlling system.
Preferably, described sensor is wheel speed sensors, and described electric brake system is anti-lock braking system.
Alternatively, using the metering crash rate of element of each failure mode and corresponding crash rate the unknown and the product of the unidentified rate of maximum diagnosis as the remaining crash rate of the security-related maximum of this element, and the unidentified rate of maximum diagnosis is integer 1 and the difference of the obtained aforementioned Diagnosis with Minimum Cost discrimination relevant with this element.
Alternatively, the security-related remaining crash rate of all the other elements is calculated acquisition by following manner: to each element in described all the other elements, obtain its every kind crash rate and the diagnosis and distinguish rate under failure mode, the unidentified rate of diagnosis using the difference of integer 1 and discrimination as this element, using the crash rate under every kind of failure mode and the remaining crash rate of diagnosing the product of unidentified rate as this failure mode; Remaining crash rate under every kind of failure mode of each element is sued for peace, obtain the security-related remaining crash rate of this element.
Preferably, described PPM value is the failed part amount in annual every 1,000,000 of this element, and described metering crash rate is
From above-mentioned, by using the PPM value of element, the present invention can be to knowing that the element of its failure mode and corresponding crash rate calculates its remaining crash rate, thereby reduced the difficulty of assessment, improved the efficiency of the remaining crash rate assessment of signal chains.
Accompanying drawing explanation
By the detailed description of carrying out below in conjunction with accompanying drawing, will have further understanding to the present invention, thereby other characteristic and the advantage of above-mentioned and other advantages of the present invention, disclosed exemplary embodiment will become obvious to those skilled in the art.Yet, it should be noted that no matter be accompanying drawing or instantiation hereinafter, the exemplary description of all just making for thinking of the present invention is described, should not be used as the restriction to any aspect of the present invention.Protection scope of the present invention is limited by content and the equivalents thereof of claims.In the accompanying drawings,
Fig. 1 schematically shows a part for the signal chains that can implement the solution of the present invention;
Fig. 2 schematically shows the method for one exemplary embodiment according to the present invention.
Embodiment
As described above, in the assessment of signal chains automotive safety integrity level, to the assessment of the remaining crash rate of each element in signal chains, be an important component part of the automotive safety integrity level assessment of signal chains.Below in conjunction with the wherein automotive safety integrity level assessment of each element and whole piece signal chains of the simplified schematic signal chains discussion shown in Fig. 1.
Signal chains as shown in Figure 1 comprises sensors A, electronic control unit B and signal chains output signal S.Here, sensors A is such as being wheel speed sensors, steering wheel angle sensor, vacuum sensor etc. or its combination in any, and electronic control unit B can be for example ABS system mentioned above.For simplicity, Fig. 1 has only schematically shown a part for signal chains in vehicle.It is evident that, appraisal procedure according to the present invention can be applicable to element any in vehicle and relevant signal chains, rather than is confined to the situation shown in Fig. 1.
In addition, be appreciated that the signal chains mentioned refers to the path that signal is flowed through herein.Particularly, on this path, can comprise the element of any appropriate, sensor as shown in Figure 1 of example, wire harness, processor etc.Wherein, the signal of the signal chains of flowing through had both related to the actual physical amount being detected by sensor, also relate to through transmission and the embodiment of output after processing the information of the indications such as the size of measured physical quantity, power.
The failure mode of sensors A in Fig. 1 is counted to Fi, and its corresponding crash rate is Ri, and corresponding diagnosis and distinguish rate is wherein i=1 to n of Di(with it).Wherein, Ri refers in corresponding failure mode Fi, the probability that sensors A lost efficacy.Wherein, diagnosis and distinguish rate Di is the quantized value of security mechanism, is can carry out the probability of correct diagnosis and distinguish in a certain operation interval of sensors A in corresponding failure mode Fi.Particularly, if for example sensors A is wheel speed sensors, its possible operation interval is some velocity ranges, if being bearing circle, sensors A delivers sensor, its possible operation interval is some angular ranges, and so corresponding diagnosis and distinguish rate Di is the diagnosis and distinguish rate in a corresponding particular speed range or in angular range.Here, those skilled in the art can understand, diagnosis and distinguish rate can be in the processes such as daily use, test, research, and by accumulating experience, data or test data of experiment obtain.
Similarly, the failure mode of electronic control unit B in Fig. 1 is counted to Fj, its corresponding crash rate is Rj, and corresponding diagnosis and distinguish rate is wherein j=1 to m of Dj(with it).
All failure modes of supposing said elements A, B are all security-related, and the total remaining crash rate RF of signal chains shown in Fig. 1 should be:
Wherein, integer 1 means that with the difference of diagnosis and distinguish rate D this element can not carry out the probability of diagnosis and distinguish,, diagnoses unidentified rate that is.
Yet, it should be noted that, the precondition of the computing method of the remaining loss of redundancy rate of above-mentioned signal chains is, need to know failure mode and the crash rate of each element in signal chains, because only known the two just may obtain the statistics of the remaining crash rate of element under this failure mode (even if otherwise know under some concrete conditions the statistics of corresponding diagnosis and distinguish rate, also cannot know that obtained diagnosis and distinguish rate statistics is corresponding with which crash rate, cause still cannot computing element remaining crash rate).
Visible, want to calculate with above formula the remaining crash rate of signal chains, must know failure mode and the crash rate of each element, thereby obtain on this basis corresponding remaining crash rate.Yet as previously mentioned, the failure mode of element and crash rate, often as secret of the trade and manufactured business retains, therefore, need to find alternative mode to calculate the remaining crash rate of signal chains.
As described above, thereby the present invention is by utilizing PPM value to knowing the element of its failure mode and corresponding crash rate, calculates its remaining crash rate, and then calculates the total remaining crash rate of whole piece signal chains.This be because, in signal chains in the obtainable information of each element, PPM(Parts Per Million) value is relatively disclosed product information.Wherein, PPM value is element failed part amount in specified quantity in set period.The failed part quantity of hereinafter, usining in annual every 1,000,000 is as an example of PPM value.Certainly, in concrete practice, choosing of PPM value is not limited to this.To those skilled in the art, also PPM value can be made as in time period of any appropriate such as every six months, every three months, every 3 years in the element of any amount such as every 1,000,000, every 100,000 to the quantity of failed part.Visible, specifically choosing of PPM value, can be determined on a case-by-case basis.
The process of the remaining crash rate of utilizing PPM value computing element and even whole piece signal chains is described below in conjunction with the method shown in signal chains shown in Fig. 1 and Fig. 2.Wherein, suppose in the signal chains shown in Fig. 1, the failure mode of sensors A and corresponding crash rate are unknown.The failure mode of electronic control unit B and corresponding crash rate are known.
As shown in Figure 2, in step 201, the sensors A for knowing its failure mode and corresponding crash rate, obtains its corresponding PPM value.Here, as an example, elect PPM value as failed part amount in annual every 1,000,000 of sensors A.
In step 202, utilize the PPM value of the sensors A obtaining, obtain the metering crash rate FIT(Failure In Time of this element) value.Wherein, FIT is illustrated in specific time period, for example, in the period of 109 hours, and the crash rate of sensors A.When PPM is failed part amount in annual every 1,000,000 of sensors A, to get the time period be 10
9hour situation under, FIT value can be expressed as:
Wherein, PPM and (10
6* 365 * 24) every sensors A of quotient representation failed part probability hourly, that is, and the crash rate of sensors A.
In step 203, for each such element, sensors A for example, extracts in its security-related all failure modes the minimum value of the statistics of the diagnosis and distinguish rate under whole operation intervals, as the Diagnosis with Minimum Cost discrimination of sensors A.According to this Diagnosis with Minimum Cost discrimination, obtain the unidentified rate of its maximum diagnosis (for example, 100% and Diagnosis with Minimum Cost discrimination poor).
In step 204, the metering crash rate FIT value based on element and the unidentified rate of maximum diagnosis,
Obtain the remaining crash rate of the security-related maximum of this element (sensors A).For example, FIT value and the unidentified rate of maximum diagnosis are multiplied each other, try to achieve the maximal value of the remaining crash rate of sensors A.
In step 205, for example, to all the other elements of known failure pattern and crash rate (the electronic control unit B in Fig. 1), obtain its security-related remaining crash rate.
In step 206, in conjunction with the remaining crash rate of maximum of said elements (sensors A) and the remaining crash rate of all the other elements (electronic control unit B), by this two parts crash rate summation, obtain the maximal value of the remaining crash rate of whole signal chains.Shown in the maximal value of the total remaining crash rate of signal chains (RFworstcase) formula specific as follows:
For example, in concrete application, car load factory can estimate the remaining crash rate of the maximum of wheel speed sensors in the manner described above, and ABS supplier provides the remaining crash rate that its product is relevant, to two parts summation, can obtain the maximal value of the total remaining crash rate of signal chains so.Similarly, ESC supplier also can provide the remaining crash rate that its product is relevant, sensor for all the other types, such as wheel speed sensors, steering wheel angle sensor, vacuum transducer etc., can try to achieve according to the method described above its maximum remaining crash rate, thereby then this two parts summation be obtained the maximal value of the corresponding total remaining crash rate of signal chains.
As described above, after the maximal value of total remaining crash rate that has obtained signal chains, itself and predetermined safety integrity level (for example, according to the regulation of road vehicle Functional Safety Standard ISO26262) can be compared, thereby evaluate the safety integrity level of signal chains.For example, in the example shown in above, if remaining crash rate in 100FIT, this index can meet the requirement of safety integrity level B.
It should be noted that above the value of PPM and the value of the time period of FIT value are all to set according to many related factors such as concrete needs and applied environments.For example, FIT can elect 10 as
-7hour.
According to above, in conjunction with the described exemplary embodiment of Fig. 1, Fig. 2, the present invention is by utilizing PPM value to realize for the estimation of remaining crash rate of not knowing the element of its failure mode and crash rate.This method contributes to simplify evaluation process, reduces assessment difficulty.By failure mode and the crash rate information of each related elements in needed signal chains in utilizing PPM information to substitute to calculate, complete the approximate estimation of the remaining crash rate of this signal chains.Consider that remaining crash rate is an important indicator of signal chains safety integrity level assessment, scheme proposed by the invention has been alleviated the bottleneck in existing appraisal procedure significantly.
Description is above illustrative rather than restrictive in essence.To those skilled in the art, to any variants and modifications carrying out in order to adapt to the factors such as concrete environment, requirement of disclosed example, be all feasible.And, the concrete operation step of method is above disclosed in certain sequence.But this does not mean that style of writing has sequentially represented the execution sequence of step.Therefore, it will be understood by those skilled in the art that and can change still implementing the concrete operation step to method under prerequisite of the present invention, for example, the step of said method is merged or further split, transposing order etc.In any case protection scope of the present invention is determined by content and the equivalent thereof of claims.
Claims (8)
1. for determining a method for the remaining crash rate of maximum of automotive safety integrity level assessment signal chains, wherein, described signal chains refers to the path that in assessment, signal is flowed through, and by following steps, determines its maximum remaining crash rate:
Element for knowing its failure mode and corresponding crash rate, obtains its corresponding PPM value, and wherein, PPM value is this element failed part amount in specified quantity in set period;
Utilize the PPM value of the element obtaining, obtain the metering crash rate of this element;
For each said elements, obtain the Diagnosis with Minimum Cost discrimination in its security-related all failure modes, and then obtain the unidentified rate of maximum diagnosis of this element;
Metering crash rate based on this element and the unidentified rate of its maximum diagnosis, obtain the security-related remaining crash rate of described maximum of this element;
All the other elements to known failure pattern and crash rate, obtain its security-related remaining crash rate;
In conjunction with the remaining crash rate of maximum of said elements and the remaining crash rate of all the other elements, obtain the maximal value of the remaining crash rate of whole signal chains.
2. method according to claim 1, described signal chains comprises the electronic control unit of sensor and sensor-lodging, wherein, the failure mode of described sensor and corresponding crash rate are unknown.
3. method according to claim 1, wherein, using the metering crash rate of element of each failure mode and corresponding crash rate the unknown and the product of the unidentified rate of maximum diagnosis as the remaining crash rate of the security-related maximum of this element, and the unidentified rate of maximum diagnosis is integer 1 and the difference of the obtained aforementioned Diagnosis with Minimum Cost discrimination relevant with this element.
4. method according to claim 2, wherein, described electronic control unit is electric brake system.
5. method according to claim 4, wherein, described sensor is wheel speed sensors, steering wheel angle sensor and/or vacuum sensor, described electric brake system is electronic stability controlling system.
6. method according to claim 4, wherein, described sensor is wheel speed sensors, described electric brake system is anti-lock braking system.
7. method according to claim 1, the security-related remaining crash rate of all the other elements is calculated acquisition by following manner:
To each element in described all the other elements, obtain its every kind crash rate and the diagnosis and distinguish rate under failure mode, the unidentified rate of diagnosis using the difference of integer 1 and discrimination as this element, using the crash rate under every kind of failure mode and the remaining crash rate of diagnosing the product of unidentified rate as this failure mode;
Remaining crash rate under every kind of failure mode of each element is sued for peace, obtain the security-related remaining crash rate of this element.
8. method according to claim 1, wherein, described PPM value is the failed part amount in annual every 1,000,000 of this element, described metering crash rate is
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410019802.7A CN103745112B (en) | 2014-01-16 | 2014-01-16 | Method for ensuring maximum residue failure rate of signal chain |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410019802.7A CN103745112B (en) | 2014-01-16 | 2014-01-16 | Method for ensuring maximum residue failure rate of signal chain |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103745112A true CN103745112A (en) | 2014-04-23 |
| CN103745112B CN103745112B (en) | 2015-06-10 |
Family
ID=50502129
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410019802.7A Active CN103745112B (en) | 2014-01-16 | 2014-01-16 | Method for ensuring maximum residue failure rate of signal chain |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103745112B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101694182A (en) * | 2009-09-29 | 2010-04-14 | 上海中科清洁能源技术发展中心 | On-line failure diagnosis, prediction and feedback control method of small/medium size gas turbine and device thereof |
| CN101823482A (en) * | 2010-05-28 | 2010-09-08 | 冯兵 | Diagnosis system for vehicle braking system and diagnosis method |
| CN103649470A (en) * | 2011-05-05 | 2014-03-19 | 西门子能量股份有限公司 | Method for predicting a remaining useful life of an engine and components thereof |
-
2014
- 2014-01-16 CN CN201410019802.7A patent/CN103745112B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101694182A (en) * | 2009-09-29 | 2010-04-14 | 上海中科清洁能源技术发展中心 | On-line failure diagnosis, prediction and feedback control method of small/medium size gas turbine and device thereof |
| CN101823482A (en) * | 2010-05-28 | 2010-09-08 | 冯兵 | Diagnosis system for vehicle braking system and diagnosis method |
| CN103649470A (en) * | 2011-05-05 | 2014-03-19 | 西门子能量股份有限公司 | Method for predicting a remaining useful life of an engine and components thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103745112B (en) | 2015-06-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104487307B (en) | Method for detecting motor vehicles travel direction | |
| JP5993804B2 (en) | Tire contact state estimation method | |
| CN102730055B (en) | Electric power steering system used for vehicles | |
| EP2170631B1 (en) | Method and device for monitoring the state of tyres | |
| CN105745127B (en) | Method for monitoring transmission link | |
| CN102186717B (en) | Determination of a maximum steering angle for a vehicle | |
| Cheli et al. | On the impact of ‘smart tyres’ on existing ABS/EBD control systems | |
| EP2363695A1 (en) | Apparatus, method and programm for vehicle mass estimation | |
| US9096256B2 (en) | Electric power steering system and steering angle outputting method thereof | |
| CN103946039B (en) | Method for estimating wheel of vehicle rolling resistance | |
| EP2543566A1 (en) | Vehicle control device | |
| CN108688719A (en) | System and method for estimating steering torque | |
| EP1615786B1 (en) | Device and method for monitoring tyre pressures | |
| EP2171480A1 (en) | Method for detecting the direction of travel of a motor vehicle | |
| DE102014117852A1 (en) | Device and method for preprocessing a wheel speed | |
| CN107298094B (en) | Detection and reconstruction of roll rate sensor failures | |
| CN105555555B (en) | Determine the method and system of the theoretical tire pressure of vehicle tyre and the pressure ratio of practical tire pressure | |
| DE102016112809A1 (en) | Apparatus and method for controlling tire pressure using a mass of a vehicle | |
| CN104470783A (en) | Method of detecting an untimely acceleration of a motor vehicle | |
| JP2013242727A (en) | Vehicle sensor value estimation device and vehicle sensor value estimation method | |
| CN103745113A (en) | Method for determining residue failure rate of signal chain | |
| CN103745112B (en) | Method for ensuring maximum residue failure rate of signal chain | |
| CN105518468B (en) | Erroneous transmissions in two-stage speed probe | |
| Lin et al. | Active safety diagnosis of brake-by-wire systems with unscented Kalman filter | |
| DE102018206858A1 (en) | Method for determining the wear of the tire of a vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |