EP2458563A2 - Ferndiagnose von Fahrzeugen - Google Patents

Ferndiagnose von Fahrzeugen Download PDF

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Publication number
EP2458563A2
EP2458563A2 EP11188159A EP11188159A EP2458563A2 EP 2458563 A2 EP2458563 A2 EP 2458563A2 EP 11188159 A EP11188159 A EP 11188159A EP 11188159 A EP11188159 A EP 11188159A EP 2458563 A2 EP2458563 A2 EP 2458563A2
Authority
EP
European Patent Office
Prior art keywords
diagnosis
command
vehicle
central processor
processor resource
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
Application number
EP11188159A
Other languages
English (en)
French (fr)
Other versions
EP2458563A3 (de
EP2458563B1 (de
Inventor
Joakim Drott
Ulla Salonen
Erik BRÅKENHIELM
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Scania CV AB
Original Assignee
Scania CV AB
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Scania CV AB filed Critical Scania CV AB
Publication of EP2458563A2 publication Critical patent/EP2458563A2/de
Publication of EP2458563A3 publication Critical patent/EP2458563A3/de
Application granted granted Critical
Publication of EP2458563B1 publication Critical patent/EP2458563B1/de
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808—Diagnosing performance data
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station

Definitions

  • the present invention relates generally to solutions for fault diagnosis of vehicles.
  • the invention relates to a system according to the preamble of claim 1 and a method according to the preamble of claim 8.
  • the invention relates also to a computer programme according to claim 14 and a computer-readable medium according to claim 15.
  • the object of the present invention is therefore to propose a solution which solves the above problems and therefore makes safe remote diagnosis of motor vehicles possible both as regards control of their programmable units and as regards the data integrity of those units.
  • the object is achieved by the system described in the introduction whereby the central processor resource includes a superordinate diagnosis unit adapted to generating diagnosis commands in the form of control instructions.
  • the local module is itself adapted to exclusively executing diagnosis commands in response to said control instructions from the central processor resource.
  • This system is advantageous in that the vehicle can thus only be remote-diagnosed from an authorised central processor resource. At the same time, it is of course also possible at a workshop to connect diagnosis equipment directly to the vehicle's internal network in order to conduct a conventional diagnosis.
  • the local module is adapted, before executing a diagnosis command, to checking whether it is associated with one or more conditions relating to operating the vehicle, e.g. the brakes not being activated.
  • the local module is adapted to only executing diagnosis commands if all of the associated operation-related conditions are fulfilled. This reduces the risk that the proposed remote diagnosis might put at risk, or interfere with, important vehicle functions during operation of the vehicle.
  • the local module is also configured to monitor, while executing a diagnosis command, any conditions associated with it. If at least one of said associated conditions is found not to be fulfilled while it is executing the diagnosis command, the local module is configured to cease executing it. The risk of interference with important vehicle functions can thus be further reduced.
  • the local module is configured to resume execution of the diagnosis command if, after a cessation, all of the conditions associated with it are again found to be fulfilled.
  • the risk of potential interference with important vehicle functions can thus be minimised while at the same time making a remote diagnosis take relatively little time.
  • a set of parameters for the conditions relating to operation of the vehicle is supposed to be defined by the superordinate diagnosis unit. This means that the complexity of the local module can be kept low and the superordinate diagnosis unit can dynamically indicate which magnitudes have to be tested for a certain condition and within what limit values the respective condition is regarded as fulfilled.
  • the superordinate diagnosis unit is configured to issue diagnosis commands iteratively by generating a first diagnosis command, receiving at least one command response thereto and generating on the basis thereof at least a second diagnosis command, and so on.
  • a typical diagnosis situation does in fact entail repeated questions before a proper diagnosis can be arrived at. To this end, it is normal to determine a suitable follow-up question to at least one previous diagnosis command.
  • the local module comprises local software adapted to controlling the local module's interaction with the vehicle's internal network and with the superordinate diagnosis unit.
  • the local software is also configured to be updatable from the central processor resource. This means that the whole diagnosis process can be adjusted and controlled very effectively from the central processor resource.
  • the object is achieved by the method described in the introduction whereby the central processor resource is supposed to include a superordinate diagnosis unit adapted to generating diagnosis commands in the form of control instructions.
  • the method comprises execution of diagnosis commands in the vehicle exclusively in response to control instructions from the central processor resource.
  • the object is achieved by a computer programme which can be directly downloaded to the internal memory of a computer and comprises software for controlling the steps according to the method proposed above when said programme is run on a computer.
  • the object is achieved by a computer-readable medium which has stored on it a programme adapted to enabling a computer to control the steps according to the method proposed above.
  • the system comprises a central processor resource 100 and at least one vehicle 180.
  • the central processor resource 100 is configured to communicate wirelessly with a designated vehicle 180 via at least one network, such as Internet and a mobile communication network 160 (e.g. represented by a WLAN, GSM network or 3G network).
  • the central processor resource 100 includes a superordinate diagnosis unit 110 adapted to generating diagnosis commands DC in the form of control instructions CI.
  • diagnostic information may for example comprise information about fault codes from control units (e.g. ECUs) of the vehicle 180, statistics about how the vehicle 180 has been used during a historical period, and current and historical values for sensors and actuators in the vehicle's electrical system.
  • control units e.g. ECUs
  • control units in the vehicle 180 contain many different types of information (in varying formats), the commands needed for controlling different control units (and versions of them) generally differ considerably from one another.
  • a relatively advanced logic and knowledge database is therefore required to be able to decide on the basis of the configuration of a given vehicle 180 what are appropriate diagnosis commands DC/control instructions Cl for it.
  • this functionality is located in the central processor resource 100.
  • each vehicle 180 is equipped with a local module 182.
  • the local module 182 is adapted to exclusively executing diagnosis commands DC in the form of control instructions CI from the central processor resource 100. Assurance is thus provided that only authorised control means have access to a network 184 in the vehicle 180 and to the units connected thereto, here exemplified by the unit marked 186.
  • the local module 182 causes execution of at least one diagnosis command DC concerning at least one unit 186 which is connected to the internal network 184 of the vehicle 180. Said at least one diagnosis command DC itself results in at least one command response R which is returned to the central processor resource 100 via the local module 182 and the network/networks 150, 160.
  • the superordinate diagnosis unit 110 is with advantage configured to issue diagnosis commands DC iteratively depending on the results arising from the questions posed/diagnosis commands DC issued. This means that a first diagnosis command DC is produced and at least one first command response R is received. On the basis of said at least one first command response R, the superordinate diagnosis unit 110 then issues at least a second diagnosis command DC which results in at least one second command response R, and so on.
  • Producing a diagnosis command DC may involve substantial parts of the resources of a control unit. If a diagnosis procedure is conducted during operation of the vehicle 180, there is therefore risk that the procedure might put at risk, or at least interfere with, important vehicle functions. According to an embodiment of the invention, a given diagnosis command DC may therefore be associated with one or more conditions relating to operation of the vehicle 180. Examples of such conditions are the brakes not being activated, the vehicle's speed being below a certain value and a power take-off not being activated. In this case the local module 182 only executes a diagnosis command DC if all of the operation-related conditions associated with it are fulfilled.
  • the local module 182 is adapted, before executing a diagnosis command DC, to checking whether it is associated with one or more conditions relating to operation of the vehicle 180, and to only executing it if all of the operation-related conditions associated with it are fulfilled.
  • the local module 182 is further configured to apply the procedure of monitoring, during execution of a diagnosis command DC, any conditions associated with it, and of ceasing to execute it if one or more of said associated conditions is found not to be fulfilled.
  • the local module 182 is with advantage configured to resume executing a diagnosis command DC as soon as all of the conditions associated with it are again found to be fulfilled. Depending on the amount of time its completion takes and whether said conditions are fulfilled and not fulfilled, the execution of a given diagnosis command may of course be halted and resumed more than once.
  • each condition relating to operation of the vehicle 180 for deciding whether execution of a diagnosis command DC is allowed is defined by one or more parameters, e.g. an indicated speed range, no activation of manually initiated braking, no activation of the power take-off of the vehicle 180 or a requirement for the steering wheel angle deflection to be within an indicated range.
  • the set of parameters which indicate respective conditions relating to operation of the vehicle 180 be defined by the superordinate diagnosis unit 110.
  • the local module 182 contains local software adapted to controlling its interaction with the network 184 in the vehicle 180 and with the superordinate diagnosis unit 110.
  • the local software is also configured to be updatable from the central processor resource 100 so that the diagnostic process can be controlled and adjusted effectively from the central processor resource.
  • the central processor resource 100 be configured to function in accordance with the instructions in central software which is executed in the processor resource 100. It is therefore advantageous if the central processor resource 100 includes, or is in some other way linked to, a memory module M containing software which, when executed in the central processor resource 100, causes the procedure described above to be applied.
  • a first step 210 checks whether a diagnosis command has been received in the local module of a vehicle. If such is the case, a step 220 follows, otherwise the procedure loops back and comes to a halt at step 210. Step 220 checks whether a diagnosis command received consists exclusively of control instructions from the central processor resource. If such is the case, a step 230 follows, otherwise the procedure loops back to step 210. Step 230 executes the diagnosis command defined by the control instructions, whereupon a corresponding command response is generated. A step 240 then returns the command response to the central processor resource, followed by the procedure looping back to step 210.
  • Figure 3 is a flowchart illustrating a preferred embodiment of the proposed method.
  • two initial steps 210 and 220 check whether a diagnosis command has been received and whether it is based solely on control instructions from the central processor resource. If such is the case, the next step 310 checks whether the diagnosis command received is associated with one or more conditions relating to operation of the vehicle. If it is found that the command is not associated with any such conditions, this finding is followed by the executing step and reporting step 230 and 240 respectively as above, after which the procedure loops back to step 210.
  • step 310 is followed by a step 320 which checks whether said condition/s is/are fulfilled. If one or more conditions are not fulfilled, the procedure loops back and comes to a halt at 320. Otherwise step 230 follows.
  • the method steps described with reference to Figures 2 and 3 may be controlled by means of programmed computer apparatus.
  • the invention extends to computer programmes, especially computer programmes on or in a carrier, suited to practically implementing the invention.
  • the programme may be in the form of source code, object code, a code intermediate between source and object code, e.g. in partly compiled form, or in any other form suitable for use in implementing the process according to the invention.
  • the carrier may be any entity or device capable of carrying the programme.
  • the carrier may comprise a storage medium such as a flash memory, an ROM (read only memory), e.g.
  • the carrier may also be a transmitting carrier such as an electrical or optical signal which can be conveyed by an electrical or optical cable or via radio or in some other way.
  • the carrier may take the form of such a cable, device or means.
  • the carrier may be an integrated circuit in which the programme is embedded and which is adapted to conducting, or to being used in conducting, the relevant processes.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Regulating Braking Force (AREA)
  • Safety Devices In Control Systems (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Selective Calling Equipment (AREA)
EP11188159.5A 2010-11-29 2011-11-08 Ferndiagnose von Fahrzeugen Active EP2458563B1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
SE1051247A SE535369C2 (sv) 2010-11-29 2010-11-29 Fjärrdiagnostisering av fordon

Publications (3)

Publication Number Publication Date
EP2458563A2 true EP2458563A2 (de) 2012-05-30
EP2458563A3 EP2458563A3 (de) 2014-09-17
EP2458563B1 EP2458563B1 (de) 2020-02-12

Family

ID=45218229

Family Applications (1)

Application Number Title Priority Date Filing Date
EP11188159.5A Active EP2458563B1 (de) 2010-11-29 2011-11-08 Ferndiagnose von Fahrzeugen

Country Status (2)

Country Link
EP (1) EP2458563B1 (de)
SE (1) SE535369C2 (de)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11356425B2 (en) 2018-11-30 2022-06-07 Paccar Inc Techniques for improving security of encrypted vehicle software updates
US11449327B2 (en) 2018-11-30 2022-09-20 Paccar Inc Error-resilient over-the-air software updates for vehicles

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050251304A1 (en) 2004-05-03 2005-11-10 Pasquale Cancellara Device and method for performing both local and remote vehicle diagnostics
US20060122748A1 (en) 2004-12-04 2006-06-08 Seong Taeg Nou System and method for diagnosing remote vehicle using telematics system
DE102006044896B3 (de) 2006-09-22 2008-04-10 GM Global Technology Operations, Inc., Detroit Manipulationsferndiagnosesystem für ein Fahrzeug
US20080183484A1 (en) 2007-01-26 2008-07-31 Denso Corporation Vehicle diagnosis system
JP2009150798A (ja) 2007-12-21 2009-07-09 Honda Motor Co Ltd 車両の遠隔診断システム
US7668643B2 (en) 2007-03-30 2010-02-23 O2Micro International Ltd. Method and system for automatically inspecting and registering automotive exhaust emission data

Family Cites Families (10)

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US6429773B1 (en) * 2000-10-31 2002-08-06 Hewlett-Packard Company System for remotely communicating with a vehicle
US6701232B2 (en) * 2001-04-25 2004-03-02 Fuji Jukogyo Kabushiki Kaisha Vehicle management system
US6594579B1 (en) * 2001-08-06 2003-07-15 Networkcar Internet-based method for determining a vehicle's fuel efficiency
DE10145906A1 (de) * 2001-09-18 2003-04-10 Bosch Gmbh Robert Verfahren zur Durchfühung einer Ferndiagnose bei einem Kraftfahrzeug, Fahrzeugdiagnosemodul und Servicecenter
DE10225786A1 (de) * 2002-06-10 2004-01-08 Robert Bosch Gmbh Verfahren und Vorrichtung zur Übertragung, zum Senden und/oder zum Empfang von Informationen in Verbindung mit einem Fahrzeug
DE102004056434A1 (de) * 2004-11-23 2006-05-24 Daimlerchrysler Ag Diagnose- und Serviecesystem für ein Kraftfahrzeug
JP4507884B2 (ja) * 2005-01-11 2010-07-21 トヨタ自動車株式会社 遠隔制御システム及び遠隔制御装置を備える車両
US9117319B2 (en) * 2005-06-30 2015-08-25 Innova Electronics, Inc. Handheld automotive diagnostic tool with VIN decoder and communication system
US20090177336A1 (en) * 2008-01-07 2009-07-09 Mcclellan Scott System and Method for Triggering Vehicle Functions
US8285439B2 (en) * 2009-04-07 2012-10-09 Ford Global Technologies, Llc System and method for performing vehicle diagnostics

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050251304A1 (en) 2004-05-03 2005-11-10 Pasquale Cancellara Device and method for performing both local and remote vehicle diagnostics
US20060122748A1 (en) 2004-12-04 2006-06-08 Seong Taeg Nou System and method for diagnosing remote vehicle using telematics system
DE102006044896B3 (de) 2006-09-22 2008-04-10 GM Global Technology Operations, Inc., Detroit Manipulationsferndiagnosesystem für ein Fahrzeug
US20080183484A1 (en) 2007-01-26 2008-07-31 Denso Corporation Vehicle diagnosis system
US7668643B2 (en) 2007-03-30 2010-02-23 O2Micro International Ltd. Method and system for automatically inspecting and registering automotive exhaust emission data
JP2009150798A (ja) 2007-12-21 2009-07-09 Honda Motor Co Ltd 車両の遠隔診断システム

Also Published As

Publication number Publication date
EP2458563A3 (de) 2014-09-17
SE1051247A1 (sv) 2012-05-30
EP2458563B1 (de) 2020-02-12
SE535369C2 (sv) 2012-07-10

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