CN110329275A - In case of a fault running gear, especially vehicle device method and apparatus - Google Patents
In case of a fault running gear, especially vehicle device method and apparatus Download PDFInfo
- Publication number
- CN110329275A CN110329275A CN201910242734.3A CN201910242734A CN110329275A CN 110329275 A CN110329275 A CN 110329275A CN 201910242734 A CN201910242734 A CN 201910242734A CN 110329275 A CN110329275 A CN 110329275A
- Authority
- CN
- China
- Prior art keywords
- data
- operating status
- value
- feature
- vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 239000011159 matrix material Substances 0.000 claims description 9
- 238000012512 characterization method Methods 0.000 claims description 5
- 238000012937 correction Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 claims description 2
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 238000006467 substitution reaction Methods 0.000 claims 1
- 238000012545 processing Methods 0.000 abstract description 6
- 238000004458 analytical method Methods 0.000 description 2
- 230000001932 seasonal effect Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 206010011906 Death Diseases 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001427 coherent effect Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012432 intermediate storage Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000012958 reprocessing Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/02—Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
- B60W50/029—Adapting to failures or work around with other constraints, e.g. circumvention by avoiding use of failed parts
-
- 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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/02—Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
- B60W50/0205—Diagnosing or detecting failures; Failure detection models
-
- 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
- B60W2510/24—Energy storage means
- B60W2510/242—Energy storage means for electrical energy
- B60W2510/246—Temperature
-
- 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
- B60W2556/00—Input parameters relating to data
- B60W2556/05—Big data
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Human Computer Interaction (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The present invention relates to be used for running gear, the especially method and apparatus of the device of vehicle, wherein, at least one component of processing unit uses feature or the data of routing characteristics about the data of operating status and for determination, the data are detected during device is run, wherein, select to have the fixed reference feature (4 of the reference data of multiple devices according to the data of feature or routing characteristics are used, 5), the desired value (6) of the data about operating status is wherein determined according to reference data, wherein, if the deviation of the desired value of the data and operating status about operating status exceeds threshold value, operating status (7) are then identified according to the deviation.
Description
Technical field
The present invention is from the method and apparatus for running gear in case of a fault, the device of especially vehicle.
Background technique
It is necessary that rapidly identifying failure and ensuring the operation of vehicle in the vehicle independently driven.For this purpose, should divide
Big data volume is analysed, the operating status of the component of vehicle is identified according to the data volume.It is desirable that even if biggish
Also operating status, especially fault condition are rapidly identified in the case where data volume and ensure the further operation of vehicle.
Summary of the invention
This according to the method and apparatus of independent claims by realizing.
It is provided in the method for running gear, the device of especially vehicle, handles at least one component of described device
About operating status data and for determine use feature (Nutzungsprofil) or routing characteristics
(Streckenprofil) data, the data are detected during the operation of described device, wherein according to for using special
Sign or the data of routing characteristics select to have the fixed reference feature (Referenzprofil) of the reference data of multiple devices,
In, the desired value of the data about operating status is determined according to the reference data, wherein if the data about operating status
And the deviation of the desired value of the operating status exceeds threshold value, then the operating status is identified according to the deviation.Thus may be used
To use large-scale data volume.Failure progressive in the car for example can be early identified compared with reference data, i.e.,
Vehicle is set always not cross identical travel route.
Preferably, in the predetermined operating status of characterization, the operating status of especially fault condition, pass through a value and replace
Or input parameter for running at least one component of described device is corrected, described value is determined according to the desired value.Such as
There is battery temperature sensor signal fault in fruit, then vehicle can be continued to run with desired value.Thus it is possible that replace have it is scarce
The output of sunken sensor or the correction sensor.
It is preferably provided that determining pass by the measured sensing data of one or more sensors or by following parameter
In at least one state parameter of data at least one component as described in of operating status: the parameter is passed by one or more
The measured sensing data of sensor calculates, wherein at least one described state parameter is sent to addressing by described device
Server except described device, and wherein, at least one described state parameter is at least one state vector or at least one
A state matrix.Data are for example transmitted in distributed computer architecture environment by vehicle, in the computer architecture environment
The middle calculated performance and operational capability existed for analyzing or diagnosing.The processing of large-scale data amount therefore not in the car into
Row.Therefore calculated performance and operational capability in vehicle can be used for the operation of vehicle.
It is preferably provided that determining pass by the measured sensing data of one or more sensors or by following parameter
In at least one state parameter of data at least one component as described in of operating status: the parameter is passed by one or more
The measured sensing data of sensor calculates, wherein at least one described state parameter is by the service except described device
Device receives, and wherein, at least one described state parameter is at least one state vector or at least one state matrix.Pass through
Big data volume is handled on the server except the vehicle, there is fortune of enough resources for vehicle in the car
Row.
It is preferably provided that multiple state parameters are transmitted or detected with time interval or event-driven, and/or, it is near
A few state parameter is transmitted as the statistical value being made of multiple state parameters, especially as median or average value.?
Therefore the data that constantly detect during vehicle driving can be transmitted with either continuously or according to event.
It is preferably provided that determining the fixed reference feature by the data about operating status of multiple vehicles, wherein by being used for
Determine that the data using feature or routing characteristics of multiple vehicles and/or driver determine the fixed reference feature.Using feature or
Routing characteristics can detect from running multiple vehicles and for generating fixed reference feature.In identical environment, such as city
It the vehicle that in city's environment or is even moved on identical route therefore can make contributions to the improvement of fixed reference feature.
It is preferably provided that being determined according to the deviation of the routing characteristics or the routing characteristics and the fixed reference feature
The threshold value.Unpredictalbe traffic obstacle can be considered by reprocessing threshold value.Thus wrong identification is avoided.
It is preferably provided that at least one described component is the sensor of described device, wherein the desired value characterization sensing
The measured value of device, and wherein, the drift of the measured value is identified according to the deviation, alternatively, determining in sensor or device
Sensor when operation starts measured value initial value.For example, monitoring temperature sensor.It can be deposited when travelling end cycle
Storage desired value and as the initial value of the measured value of sensor come using.Therefore, start in sensor in driving cycle
When be calibrated before, measuring signal is provided.
It is preferably provided that detected during the operation of vehicle at least one component of the vehicle about operating status
Multiple data and/or described using feature or multiple data of routing characteristics for determining, wherein at the end of traveling or pre-
The multiple data are handled and/or transmitted at the end of the given period, especially one day to determine the desired value or described
Fixed reference feature.Therefore traveling end or predetermined period are postponed till in the processing of big data volume terminates, namely following
Moment executes: at the moment, vehicle itself needs operation of the less computing resource for vehicle.
It is preferably provided that determining the expected longevity of at least one component according to the desired value distributed to using feature
It orders and exports or store the information about the expected service life.This can be realized the predictive identification of the possibility failure of component.
The equipment of the operating status of component about vehicle for identification, it is specified that, the equipment is configured to implement institute
State method.
Detailed description of the invention
Other advantageous embodiment is obtained from attached drawing and description below.In the accompanying drawings:
Fig. 1 shows a kind of method for running gear, the device of especially vehicle,
Fig. 2 shows a kind of equipment for by the method operation described device.
Specific embodiment
Fig. 1 schematically show it is a kind of for running gear, the device of especially vehicle method in step.Conduct below
Example uses vehicle.Also other machines can be used.
Vehicle is, for example, autonomous vehicle, especially autonomous shuttle traffic tool or automatically electrically driven (operated) bus or
Load truck.
In the method, handle at least one component of the vehicle about the data of operating status and for determining
Using feature or the data of routing characteristics, the data are detected during the operation of the vehicle.In this example, by one
Or the measured sensing data of multiple sensors determines the data about operating status of the component of vehicle as component
State parameter.Sensor is, for example, battery temperature sensor.Data about operating status are that battery temperature passes in this example
Sensor data.Alternatively or additionally, the data can be the measured sensing data by one or more sensors
Determining parameter.
After start-up, detecting state parameter in step 1.
After step 1, state parameter detected is handled in optional step 2, so as to especially formed median,
Average value or desired value.
After optional processing, in real time or for example stable mobile wireless radio connections can at the time of transmit shape
State property or optionally, after step 2 instead of transmitting median, average value or desired value in this place.Such as provide, in vehicle
Integrated memory is gone back in, the memory can be with the limited amount data of intermediate storage.
After step 1, for this purpose, by state parameter or optionally replacing median, flat after step 2 in this place
Mean value or desired value are sent to the server except the vehicle with being addressed in step 3 by vehicle.
State parameter is state vector or state matrix in this example.Also can be used multiple state parameters, state to
Amount or state matrix.State vector or state matrix include about the data of operating status and using feature or the number of routing characteristics
According to.
For example, multiple state parameters are transmitted or detected with time interval or event-driven.State parameter can also be made
For be made of multiple state parameters statistical value, transmit especially as median or average value.
Then, in step 4, according to the data of routing characteristics, select similar routing characteristics as fixed reference feature.It can also
To be that only one routing characteristics are available as fixed reference feature.
Then, in steps of 5, according to the data using feature, selected from the fixed reference feature selected in step 4
One fixed reference feature.These reference datas are temperature data in this example, and the temperature data is in travel route, every Diurnal change
Or it is determined on each seasonal march.The different traffic flows on a route can be considered by every Diurnal change.By every
A seasonal march can eliminate the influence of environment temperature.Selected fixed reference feature includes below with reference to data: the reference number
It is determined according to the data by multiple vehicles.
It is as illustrated in fig. 1 like that, for k vehicle use n user characteristics or routing characteristics N11 ...,
N1k, ... Nnk.By user characteristics, in this case, indicate to pass through forward travel caused by determining user in vehicle
The specific change procedure of the vehicle of middle operating status, such as the change procedure of temperature sensor data.It is indicated by routing characteristics
In the specific change procedure of vehicle of vehicle operating status in the forward travel on determining route, such as temperature sensor number
According to change procedure.Also it can be stated that the similar user characteristics of analysis different vehicle or similar routing characteristics.Similar use
Family feature for example generates in the forward travel of same vehicle or different vehicle, by same user or different users for same
One purpose, such as used in the traveling for going work.Similar routing characteristics are not for example in same vehicle or different vehicle
It is generated in same city or in the forward travel on different highways.When different drivers in similar vehicle
In identical city or when on identical highway on the way, such as also generate different routing characteristics.
Then, in step 6, the desired value of the data about operating status is determined according to reference data.Desired value is for example
It is sought together with the standard deviation of the battery temperature of desired value and vehicle as statistics.It is as illustrated in fig. 1 such, for
N*k user characteristics or routing characteristics N11 ..., N1k ... Nn determines such as n*k statistical expectation E11 ...,
E1k, ..., Enk。
After step 6, the method restarts.
In this example, desired value is determined by the data about operating status of multiple vehicles, wherein by multiple for determining
The data using feature or routing characteristics of vehicle determine fixed reference feature.
After step 6, in step 7, if the deviation of the desired value of the data and operating status about operating status
Beyond threshold value, then the operating status is identified according to the deviation.In this example, in the method after step 6 again
Implementation steps 7 after beginning.
In this example, according to the deviation of routing characteristics or routing characteristics and fixed reference feature come threshold value.If such as
Traffic obstacle is identified according to state matrix or state vector, then improves the threshold value of the coherent element in matrix or vector, so as to
Tolerate bigger deviation.In this example, the component is the sensor of vehicle.Desired value characterizes the measured value of sensor, such as
Preferred temperature.In this example, once exceeding threshold value, then the drift of measured value is identified according to deviation.Alternatively or additionally, may be used
To determine the initial value in sensor or the measured value of the sensor when operation starts of vehicle.
The method is preferably continuously run during the operation of vehicle.By the transmission of state parameter, reduce in vehicle
Computing device calculated load.Big data volume is preferably analyzed simultaneously in distributed computer architecture environment on the server
And the load of the computing device in loaded vehicle is therefore not added.
It can be stated that detected without such analysis first the component of vehicle about operating status
Multiple data.It can be stated that detection is for determining multiple data using feature or routing characteristics during the operation of vehicle.
In this case for example at the end of traveling or at the end of predetermined period, especially one described in processing
Multiple data are to determine the desired value or the fixed reference feature.
In the predetermined operating status of characterization, the operating status of especially fault condition, in order to run the vehicle, pass through
One value replaces or corrects the input parameter of the component, and described value is determined according to the desired value.As a result, by considering phase
The desired value answered can realize the reconstruction of the measurement parameters lacked in real time.This is especially when related vehicle passes through another person
Come run or on other routes run when it is also possible because this behavior of big database is similarly matched in expectation
Value.If it is clearly possible for distributing, the parameter of security-critical can also be rebuild in principle.
The expected service life of the component can also be determined according to the desired value distributed to using feature.Can export or
Store the information about the expected service life.State parameter allows compared with desired value in steps of 5: for component make with
Increased database and more accurate life prediction.Which is known that based on the distribution arrived using feature or routing characteristics
How and when a little failures typically occur.Therefore it is possible that shortly before desired end-of-life or before failure not
Promote to replace component and component long.Information about the expected service life can be used for according to actual use and behavioural characteristic
To seek vehicle remaining value or device remaining value, go out lease rate or lease rate and insurance premium rate.
Equipment 10 for running vehicle is configured to implement the method.
In this example, equipment 10 includes at least one sensor 11 and vehicle computer 12.Vehicle computer 12 is for example
It is the part of the onboard power system of vehicle.Vehicle computer 12 is for example assigned the multiple control devices 14 unrelated with domain.Show at this
In example, two sensors 11 are connect by two different control devices 14 unrelated with domain with vehicle computer 12.
Vehicle computer 12 is configured to communicate with server 13.Server 13 may be distributed over multiple computing systems
On.Server 13 includes database, and a fixed reference feature or multiple fixed reference features are stored on the database.In database
In, corresponding desired value is stored for the fixed reference feature.If being stored with multiple fixed reference features, to these fixed reference features point
With the desired value stored accordingly.
Desired value can also be determined during the method is run by fixed reference feature.The processing of big data volume especially makes
It is preferably carried out on server 13 with feature or routing characteristics' and desired value determination.The operation of vehicle is forced necessary
Vehicle functions (data of Context awareness, security-critical, the data of power train) calculate in vehicle computer 12.Therefore, vehicle
The calculated performance of computer 12 is completely and fully for actual running use.
It can be stated that the part or all of step of the calculating is run in vehicle computer 12.
Claims (12)
1. a kind of method for running gear, the device of especially vehicle, which is characterized in that handle at least one of described device
Component uses feature or the data of routing characteristics about the data of operating status and for determination, and the data are in described device
Operation during be detected, wherein select the reference number with multiple devices according to the data of feature or routing characteristics are used
According to fixed reference feature (4,5), wherein according to the reference data determine about operating status data desired value (6),
In, if the deviation of the desired value of the data and operating status about operating status exceeds threshold value, according to
Deviation identifies the operating status (7).
2. the method according to claim 1, wherein characterizing predetermined operating status, especially fault condition
Operating status in, replace or correct the input parameter for running at least one component of described device, institute by value
Value is stated according to the desired value to determine.
3. method according to claim 1 or 2, which is characterized in that by the measured sensing of one or more sensors
Device data determine at least one state of the data about operating status as at least one component by following parameter
Parameter: the parameter is calculated by the measured sensing data of one or more sensors, wherein at least one described state
Parameter is sent to the server (3) except described device by described device with addressing, and wherein, at least one state ginseng
Amount is at least one state vector or at least one state matrix.
4. method according to claim 1 or 2, which is characterized in that by the measured sensing of one or more sensors
Device data determine at least one state of the data about operating status as at least one component by following parameter
Parameter: the parameter is calculated by the measured sensing data of one or more sensors, wherein at least one described state
Parameter is received by the server (3) except described device, and wherein, at least one described state parameter is at least one shape
State vector or at least one state matrix.
5. method according to any one of the preceding claims, which is characterized in that with time interval or event-driven
Multiple state parameters are transmitted, and/or, using at least one state parameter as the statistical value being made of multiple state parameters, especially
It transmits or detects as median or average value.
6. method according to any one of the preceding claims, which is characterized in that by multiple vehicles about operating status
Data determine the desired value, wherein by for determine multiple vehicles and/or driver using feature or routing characteristics
Data determine the fixed reference feature.
7. method according to any one of the preceding claims, which is characterized in that according to the routing characteristics, the route
Feature and the deviation of the fixed reference feature determine the threshold value.
8. method according to any one of the preceding claims, which is characterized in that at least one described component is the dress
The sensor set, wherein the measured value of the desired value characterization sensor, and wherein, the survey is identified according to the deviation
The drift of magnitude, alternatively, determining the initial value in sensor or the measured value of the sensor when operation starts of device.
9. method according to any one of the preceding claims, which is characterized in that during the operation of vehicle described in detection
At least one component of vehicle about operating status multiple data and/or for determine it is described use feature or routing characteristics
Multiple data, wherein at the end of traveling or at the end of predetermined period, especially one handle and/or transmit institute
Multiple data are stated to determine the desired value or the fixed reference feature.
10. method according to any one of the preceding claims, which is characterized in that according to the expectation distributed to using feature
Value determines the expected service life of at least one component and exports or store the information about the expected service life.
11. a kind of equipment (10) for running gear, the device of especially vehicle, which is characterized in that the equipment (10) is by structure
Make the method for implementing to have follow steps: handle at least one component of described device data about operating status and
For determining that the data using feature or routing characteristics, the data are detected during the operation of described device；According to using
Feature or the data of routing characteristics select to have the fixed reference feature of the reference data of multiple devices；It is true according to the reference data
The desired value of the fixed data about operating status；If the desired value of the data about operating status and the operating status
Deviation exceed threshold value, then the operating status is identified according to the deviation.
12. equipment (10) according to claim 11, which is characterized in that the equipment (10) is configured to implement following
Step: in the predetermined operating status of characterization, the operating status of especially fault condition, by described in a value substitution or correction
The input parameter of at least one component, described value determine to run described device according to the desired value.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102018204848.7A DE102018204848A1 (en) | 2018-03-29 | 2018-03-29 | Method and device for operating a device, in particular a vehicle in the event of a fault |
| DE102018204848.7 | 2018-03-29 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110329275A true CN110329275A (en) | 2019-10-15 |
Family
ID=67909954
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910242734.3A Pending CN110329275A (en) | 2018-03-29 | 2019-03-28 | In case of a fault running gear, especially vehicle device method and apparatus |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN110329275A (en) |
| DE (1) | DE102018204848A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111483469A (en) * | 2020-04-27 | 2020-08-04 | 湖南大学 | Analysis and test method for fault diagnosis of electric vehicle controller |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102019217299A1 (en) | 2019-11-08 | 2021-05-12 | Robert Bosch Gmbh | Method for predicting an aging condition of a battery |
| DE102020106421A1 (en) | 2020-03-10 | 2021-09-16 | Avl Software And Functions Gmbh | Method and system for more efficient data collection within a group of vehicles |
| DE102021200910A1 (en) | 2021-02-01 | 2022-08-04 | Volkswagen Aktiengesellschaft | Method for context-dependent detection of a fault in a vehicle component and vehicle |
| DE102021200911A1 (en) | 2021-02-01 | 2022-08-04 | Volkswagen Aktiengesellschaft | Method of a vehicle for context-dependent processing of a potential error in a vehicle component and vehicle |
| DE102022103944B4 (en) | 2022-02-18 | 2024-04-18 | Volkswagen Aktiengesellschaft | Method and monitoring system for monitoring an operating behavior of a control unit of a motor vehicle |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011079350A (en) * | 2009-10-02 | 2011-04-21 | Toyota Motor Corp | Failure detecting device for vehicle, electronic control unit, failure detection method for vehicle |
| CN103946897A (en) * | 2011-10-11 | 2014-07-23 | 罗伯特·博世有限公司 | Method and device for calibrating an environment sensor |
| US20170168505A1 (en) * | 2015-12-15 | 2017-06-15 | Volkswagen Ag | Method and system for automatically controlling a following vehicle with a scout vehicle |
| KR20170087182A (en) * | 2016-01-20 | 2017-07-28 | 주식회사 포키비언 | Apparatus and method for recognizing of vehicle condition |
| CN107054360A (en) * | 2015-12-15 | 2017-08-18 | 大众汽车有限公司 | Method and system for automatically controlling the Following Car for carrying scout car |
| WO2017189361A1 (en) * | 2016-04-29 | 2017-11-02 | Pcms Holdings, Inc. | System and method for calibration of vehicle sensors assisted by inter-vehicle communication |
| EP3296964A1 (en) * | 2016-09-13 | 2018-03-21 | Valeo Systemes de Controle Moteur | Method for analysing vehicle component data |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102008049754A1 (en) * | 2008-09-30 | 2010-04-08 | Continental Automotive Gmbh | Method and device for wear diagnosis of a motor vehicle |
| DE102016109497A1 (en) * | 2016-05-24 | 2017-11-30 | Knorr-Bremse Systeme für Schienenfahrzeuge GmbH | Method and device for determining the state of wear of components of a rail vehicle |
-
2018
- 2018-03-29 DE DE102018204848.7A patent/DE102018204848A1/en active Pending
-
2019
- 2019-03-28 CN CN201910242734.3A patent/CN110329275A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011079350A (en) * | 2009-10-02 | 2011-04-21 | Toyota Motor Corp | Failure detecting device for vehicle, electronic control unit, failure detection method for vehicle |
| CN103946897A (en) * | 2011-10-11 | 2014-07-23 | 罗伯特·博世有限公司 | Method and device for calibrating an environment sensor |
| US20170168505A1 (en) * | 2015-12-15 | 2017-06-15 | Volkswagen Ag | Method and system for automatically controlling a following vehicle with a scout vehicle |
| CN107054360A (en) * | 2015-12-15 | 2017-08-18 | 大众汽车有限公司 | Method and system for automatically controlling the Following Car for carrying scout car |
| KR20170087182A (en) * | 2016-01-20 | 2017-07-28 | 주식회사 포키비언 | Apparatus and method for recognizing of vehicle condition |
| WO2017189361A1 (en) * | 2016-04-29 | 2017-11-02 | Pcms Holdings, Inc. | System and method for calibration of vehicle sensors assisted by inter-vehicle communication |
| EP3296964A1 (en) * | 2016-09-13 | 2018-03-21 | Valeo Systemes de Controle Moteur | Method for analysing vehicle component data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111483469A (en) * | 2020-04-27 | 2020-08-04 | 湖南大学 | Analysis and test method for fault diagnosis of electric vehicle controller |
| CN111483469B (en) * | 2020-04-27 | 2021-08-03 | 湖南大学 | Analysis and test method for fault diagnosis of electric vehicle controller |
Also Published As
| Publication number | Publication date |
|---|---|
| DE102018204848A1 (en) | 2019-10-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110329275A (en) | In case of a fault running gear, especially vehicle device method and apparatus | |
| US20210373082A1 (en) | Method and device for operating an electrically drivable motor vehicle depending on a predicted state of health of an electrical energy store | |
| US9519875B2 (en) | Method for determining an expected consumption value of a motor vehicle | |
| Bolovinou et al. | Online prediction of an electric vehicle remaining range based on regression analysis | |
| CN101424590B (en) | Method for forecasting damage to components of a motor vehicle | |
| CN110520877B (en) | Maintenance notifying system, control method thereof, and medium | |
| EP1870788A1 (en) | Remote trouble-shooting | |
| RU2549578C1 (en) | Information representation device to be used in vehicle | |
| US20230013544A1 (en) | Method, Apparatus and System for Detecting Abnormal Operating States of a Device | |
| JP2004272375A (en) | Remote failure prediction system | |
| CN102801552A (en) | System and methods for fault-isolation and fault-mitigation based on network modeling | |
| CN112744120B (en) | Method for estimating driving range of electric vehicle, cloud server, vehicle and medium | |
| US20210118245A1 (en) | Performance monitoring and evaluation of a vehicle adas or autonomous driving feature | |
| CN115798078A (en) | Vehicle accurate fault diagnosis method and device | |
| JP5378002B2 (en) | Vehicle motion estimation device, vehicle motion estimation method, and vehicle motion estimation program | |
| CN113219336B (en) | Battery degradation determination system, method, and non-transitory storage medium storing program | |
| CN110866770A (en) | Prediction method and prediction system for vehicle maintenance scheme | |
| CN115884895A (en) | Method for predicting the remaining service life of a vehicle battery of a fleet of electric vehicles | |
| Taie et al. | Remote diagnosis, maintenance and prognosis for advanced driver assistance systems using machine learning algorithms | |
| SE541828C2 (en) | Method and control arrangement for prediction of malfunction of a wheel bearing unit of an axle in a vehicle | |
| CN111323034A (en) | Determining a subsequent test route during a test run of a vehicle | |
| KR101807210B1 (en) | Apparatus and method for managing vehicle expendable | |
| US20150321604A1 (en) | In-vehicle micro-interactions | |
| JP2011141678A (en) | Information processing apparatus, computer program, and information processing method | |
| CN112434782A (en) | Architecture and method for state estimation fault detection using crowdsourcing and deep learning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |