• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
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    • 专利摘要:
    METHOD FOR MONITORING THE HEALTH STATUS OF A VEHICLE SYSTEM. The present invention relates to a method for monitoring the health status of a vehicle system (1). In accordance with the present invention, the method comprises the following steps: -measuring a plurality of parameter values for the vehicle system under different operating conditions as a line test end; -storage of parameter values in a digital file; -measurement of the same plurality of parameter values that is understood in the digital file under similar load conditions after a pre-defined time interval; -addition of a predefined aging compensation for the digital file, where the aging compensation corresponds to an expected wear of the system during the predefined time interval, as a result, obtaining a modified digital time file for the system ; comparison of the measured values with the modified digital time file; and -emission of a message if the measured values deviate from the modified digital time file. The advantage of the present invention is that the state of health is compared with initial measurements such that the state (...).
    公开号:BR112015026777B1
    申请号:R112015026777-7
    申请日:2013-04-22
    公开日:2021-01-05
    发明作者:Jerker Lennevi；Bengt Larsson；Tobias SMIDEBRANT
    申请人:Volvo Truck Corporation；
    IPC主号:
    专利说明:

    TECHNICAL FIELD OF THE PRESENT INVENTION
    [001] The present invention relates to a method for monitoring the health status of a vehicle system over the life of the vehicle, and additionally refers to a computer program and a computer program product for performance of such a method. TECHNICAL OVERVIEW OF THE PRESENT INVENTION
    [002] Vehicles and vehicle components are tested during vehicle manufacture. Most components can be tested and verified at the sub-supplier when the component is manufactured. However, many components are comprised in a system in which several different components make up the system. Such a system can only be tested and verified when fully assembled. Some systems can only be tested and verified when mounted on the vehicle, as they require input from other systems.
    [003] Even though each component that is comprised in a system is checked and comes to comply with the required tolerances, the system itself may still be out of tolerance due to the fact of tolerances added from different components. As a result, with normal deviation, some systems may be out of tolerance. In a vehicle, with several different subsystems, it is likely that some vehicles will perform slightly differently than other vehicles, where the added tolerances will compensate for each other. Some vehicles can still perform much better than the average vehicle when tolerances are added in an optimal way.
    [004] Normally, each component or system must comply with a certain tolerance. Such tolerances are decided by the fact that most components and systems will work properly, but they are fixed values that can be compared with values measured for the component or the system. A component that falls outside a set tolerance value is discarded, even if the component could work properly with other components adapted for that measurement. Also complete systems of a vehicle will have to be within certain set tolerances.
    [005] If a component or a system is close to a tolerance limit, it will be within tolerance. When the component or system has been in use for a while, it may fall outside the tolerance limit due to wear, even if the component or the system is not excessively worn. In an inspection, the component or system can therefore be found to be defective.
    [006] Some components and some systems have greater deviations than others. For example, it is reasonably easy and cost-effective to manufacture valves within tight (strict, restricted) tolerances, but it is more difficult or impossible to manufacture an electrical component within a specified tolerance. The only way to achieve a required tolerance may then be to manufacture several components and subsequently measure all components and group them into different classes of component having different tolerances. This is a costly and time consuming operation. Additionally, this grouping can only be valid when the component is new, as different components can age differently. Even if a new component is within tolerance, it can still be seen as out of tolerance when measured after use.
    [007] Some components or systems can also be mounted on the vehicle and can later be adjusted to a specific tolerance. This applies to certain components and electrical systems, where a calibration is done after assembly.
    [008] Some components and some systems will have expected aging behavior, which can be used to determine when a service (maintenance) or replacement is to be performed on that component or on that system. Another disadvantage of using predicted aging for a component or system is that some components or systems may needlessly be maintained (repaired) or replaced. Other components or other systems may not be maintained or be replaced in time, due to higher than expected wear.
    [009] Consequently, there is scope for an improved method for monitoring the health status of a vehicle system over the life of the vehicle. PRESENTATION OF THE PRESENT INVENTION
    [010] An objective of the present invention is, consequently, to provide an improved method for monitoring the health status of a vehicle system.
    [011] The solution to the problem, in accordance with the present invention, is described in the characterization part of the independent patent claim 1 accompanying. The other dependent patent claims subsequently contain advantageous further developments of the method in accordance with the present invention. The patent claims subsequently also contain a computer program and a computer program product for performing such a method.
    [012] In a method for monitoring the health status of a vehicle system, the steps of measuring a plurality of parameter values for the system in different operating conditions are understood as a line test end; storage of parameter values in a digital file; measurement of the same plurality of parameter values that is understood in the digital file after a pre-defined time interval; addition of a predefined aging compensation for the digital file, where the aging compensation corresponds to a predicted wear of the system during the predefined time interval, as a result, obtaining a modified digital time file for the system; comparison of the measured values with the modified digital time file; and issuing a message if the measured values deviate from the modified digital time file.
    [013] By this first embodiment of the method in accordance with the present invention, the method can monitor the health status of a vehicle system, and determine whether the health status is within predefined limits or not. This is done, first, by measuring a plurality of parameter values for the specific system when the vehicle system is new, for example, as a line test end at the manufacturing plant. The parameters are measured under different operating conditions, for example, under different load conditions, such as at minimum load, medium load and maximum load. The parameter values for the different load conditions are stored in a digital file that is saved (stored) in a memory in the vehicle control system. This original digital file will therefore contain the effective performance of the system when it was delivered. The same parameters are measured under similar load conditions at the last moment, and are stored in an additional digital file. Similar loading conditions can either be simulated, for example, in a workshop when the vehicle remains stationary, or they can be discovered (verified) when the vehicle is traveling on a road. The acceleration of a fully loaded vehicle will, for example, correspond to a maximum load condition, and in low gear (idle) it will, for example, correspond to a minimum load condition. As the different measurements are stored in an additional digital file, where the measurements are confined by an acceptance area, it is not important that the different load conditions will be exactly the same. It is also important that measurements are measured under different load conditions.
    [014] In addition, an aging compensation is added to the original digital file and stored in a modified digital file. The aging compensation comprises a predefined aging behavior of the system, and is dependent on the time or distance traveled by the vehicle. The measured values contained in the additional digital file are compared with the modified digital file. If the measured values, that is, the additional digital file, deviates from the modified digital file, a message is issued. The message can be determined for the vehicle operator or can be saved in a vehicle error log, where a workshop can investigate the cause at a later stage, or a service appointment (consultation) regular.
    [015] In a development of the method in accordance with the present invention, the moment when the additional digital file is measured, corresponds to a regular service interval. In this way, measurements of the plurality of parameters can be performed in the workshop, in a controlled environment. In a workshop, it is easier to perform the different measurements under the same conditions as for those in the end-of-line test, as the same conditions can easily be simulated at standstill. For some measurements, it may be advantageous to use an artificial, simulated load, instead of an actual load. Such a load can be an engine load, where it may be easier to simulate a maximum load condition in a workshop than to discover (find) such a condition on the road.
    [016] An additional digital file is measured at different time intervals. Time intervals can either be predefined time intervals, where a time interval can be one month or more, or they can be based on the distance traveled by the vehicle. It is, of course, also possible to measure additional digital files at other times, such as at shorter intervals, but as the aging of systems is usually relatively slow, so that this can take several years, until a critical degradation has occurred, a month or more is sufficient. It is also possible to start an additional digital measurement from a service center, in order to obtain an additional digital file for a specific system or for a specific component.
    [017] Additional digital files can also be saved in memory, in such a way that statistical monitoring can be done. Additional digital files can be stored in the vehicle control system or can be transferred to a central database at the manufacturer (manufacturer). An advantage of storing the additional digital files in the manufacturer is that the manufacturer can use the additional digital files collected from several different vehicles in order to perform follow-up investigations on different components that have been discovered (verified) defective or that have been defective. redesigned.
    [018] The vehicle is preferably a hybrid vehicle comprising a combustion engine and an electric motor driven by a battery or another source of electrical energy. The vehicle system can, for example, be a diesel engine, an electric motor, an exhaust after-treatment system, a cooling system or a battery. Aging compensation can be dependent on the vehicle's exterior conditions, where an exterior condition is one of temperature, altitude, humidity, geographic position or the number of particles in the air. The aging compensation can also be dependent on the distance traveled by the vehicle.
    [019] In a development of the method in accordance with the present invention, at least two additional digital files can be combined into a digital matrix. In this development of the method in accordance with the present invention, several original digital files are combined into an original digital matrix comprising measurements from the end of line test. After a pre-defined time interval, several additional digital files are measured and subsequently combined into an additional digital matrix, which is compared with the original digital matrix. A message is issued if the additional digital matrix deviates from the original digital matrix. An advantage of using a digital matrix is that several systems can be compared at the same time, and that the relationship between different systems can be compensated directly in the digital matrix. In this way, the comparison can take different relationships into account in an easy way. BRIEF DESCRIPTION OF THE DRAWINGS OF THE PRESENT INVENTION
    [020] In the following, the present invention will be described in greater detail by reference to the accompanying Figure Drawings. In the accompanying Figures Drawings:
    [021] Figure 1 shows a schematic hybrid vehicle comprising a vehicle system;
    [022] Figure 2 shows an example of measurements in a digital file; and
    [023] Figure 3 shows a schematic flowchart of a method in accordance with the present invention for monitoring the health status of a hybrid vehicle.
    [024] The Drawings of the accompanying Figures are only schematic / diagrammatic representations and the present invention is not limited to the exemplary embodiments represented therein. MODES FOR CARRYING OUT THE PRESENT INVENTION
    [025] The embodiments of the present invention with further developments described below are to be considered as examples only and are in no way intended to limit the scope of protection provided by the attached patent claims.
    [026] Figure 1 shows a schematic hybrid vehicle (1), shown here as a delivery truck. The hybrid vehicle can be a regular hybrid vehicle or a plug-in hybrid vehicle. Other types of heavy hybrid vehicles, such as buses, garbage vehicles, wheel loaders, etc., can also be used with the method in accordance with the present invention. The hybrid vehicle is provided with a combustion engine (2), normally a diesel engine, but other types of fuels, such as liquefied natural gas or compressed natural gas, can of course also be used. The hybrid vehicle is also provided with an electric machine (3) connected to the combustion engine (2). The electric machine (3) is preferably positioned close to the combustion engine (2), but it can also be placed separately from the combustion engine (2), for example, on the vehicle's drive wheel axle.
    [027] The electric machine can be used in a traction mode, where it is used as an electric motor to propel the vehicle. In traction mode, the electric machine receives current from the battery (4). Depending on the type of hybrid vehicle, the electric motor can either complement the combustion engine when extra energy is needed, for example, in starts, accelerations and uphill slopes, or the electric machine can propel the complete vehicle when the combustion engine is disabled. The electric machine can also be used in a braking mode where the electric machine regenerates energy for the battery when the vehicle slows down. During a delay, the electric machine is used as an electric brake and energy can be used to recharge the battery. The electric machine can also be used as a regular generator that charges the battery when the vehicle is driven by the combustion engine traveling on a road, when the electric machine is not used in traction or braking mode.
    [028] The vehicle is additionally provided with a control unit (5) that comprises a battery management function that controls the flow of energy to and from the battery, depending on the instructions received from the vehicle control system, such as such as required acceleration, required speed or required braking force. The control unit is also provided with measurement functions that can collect measurements from other electronic control units (ECUs) in the vehicle. ECUs communicate over a local data bus and can control different vehicle functions, in such a way that an ECU or more dedicated ECUs control the combustion engine, an ECU controls the gearbox , an ECU controls the lights, etc. Each ECU can send measurements via the data bus to the control unit (5). The control unit (5) can be a stand-alone unit or it can be integrated into another control unit.
    [029] The electric machine is preferably designed to complement the combustion engine. In this way, the combustion engine can operate in an optimized speed range, with optimized energy consumption and with a minimum of harmful exhaust gas. The electric machine can, in this case, be optimized in such a way that the electric machine often delivers its full (full) torque when functioning as an electric motor. If the combined torque from the combustion engine, operating in the optimized speed range, and the electric machine is not sufficient, for example, on a steep slope, the speed of the combustion engine can be increased. In this way, the size of the electric machine can be ensured relatively small and light weight. For the same reason, the electric machine is designed to deliver its maximum current when used as an electric brake at a medium delay. If a faster or stronger delay is required, an auxiliary brake, such as a motor brake or service brakes, is / are used / s to complement the electric brake.
    [030] The electric machine can also be used to simulate a load for the combustion engine when the vehicle is stopped, for example, in a workshop or at the end of the line test, but it is also possible to perform a test when the vehicle is parked. This can be of benefit if the system has indicated a serious defect, for example, on the drive system. In this way, the load under different operating conditions can be easily simulated. When the vehicle is tested at the end of the line or in a workshop, it is also possible to connect an external load to the traction line when the combustion engine or the traction line is to be tested.
    [031] At the end of the line test, the combustion engine is running and delivering power to the electric machine in the vehicle's hybrid drive system, which charges the battery. Preferably, the sensors installed on the vehicle are used to measure the different parameter values, but it is also possible to use external sensors with a higher resolution if a higher precision is required. The results from the sensors are logged and saved and the data can be analyzed. Preferably, a traction cycle is designed to test all vehicle systems. In one example, the combustion engine will first charge the battery at different speeds and at different energy levels with the electric machine as a generator, where the torque of the combustion engine and the current delivered are measured. Subsequently, the battery can be discharged by operating the electrical machine as an electric motor that drives (turns) the combustion engine at different speeds and at different energy levels, for example, by engaging a motor brake or an exhaust brake. at different levels. The torque of the electric machine and the current delivered are measured. In this example, the state of health (SOH) battery can be tested by integrating charging and discharging energy.
    [032] The parameters for a system under different load conditions are stored in a digital file. Measurement curves can be parameterized for a limited number of parameter values to limit the amount of data stored. Parameterization could be done with the aid of a mathematical model of the vehicle. It is also possible to define an acceptance area for the measurement curves in order to further reduce the data. In this case, the acceptance area is included in the digital file. If a component is replaced, a new digital file for the system in which the component is understood can be measured and stored as the original digital file for that system.
    [033] The first original digital file for each vehicle system can be stored in the vehicle control system and / or in a database at the manufacturer. This original digital file will act as the reference file for late measurements. When a new measurement for the same vehicle system is performed after a predetermined time interval, the new measurements can be stored in an additional intermediate digital file. A pre-defined aging compensation is added to the original digital file and is stored as a time-modified digital file. The aging compensation corresponds to a predicted wear on the system for the pre-defined time interval and / or the distance traveled. The measured values, that is, the additional digital file, are compared with the modified time digital file. If the measured values deviate from the modified digital time file, a message is issued. The message can be a service notification for the operator or it can be a warning (flag) stored in a memory indicating that a thorough check should be performed for that system in the next service.
    [034] The new measurements of the same parameters are measured under similar load conditions at a last moment, after a pre-defined period of time, a pre-defined travel distance or at any other specified time. The loading conditions can either be the same as for the original digital file or the conditions can be similar, but not identical. The same loading conditions can be simulated when the vehicle is stopped, for example, in a workshop or when the vehicle is parked. Similar loading conditions can be used when the vehicle travels on a road, in such a way that different loading conditions are identified and used for measurements during vehicle use. The acceleration of a fully loaded vehicle, for example, will correspond to a condition of maximum (full) load, and a reduced gear (idle), for example, will correspond to a condition of minimum (low) load. Different traction conditions can be used for different load conditions. Measurements can be performed over a longer period of time, for example, over a day or over a week, in order to discover appropriate loading conditions. It is advantageous to use both the mediated load conditions and the extreme load conditions to create the digital file. As the different measurements are stored in an additional digital file, where the measurements are confined by an acceptance area, it is not important that the different load conditions are exactly the same or that the load conditions are measured at the same time. . It is, however, important that measurements under different load conditions are measured.
    [035] In Figure 2, a series of measurement values (10) under different load conditions stored in a digital file are shown. In the example shown, the measurement values are confined to an acceptance area (11) of the digital file, which reduces the storage space requirements. A digitally modified time file (12) is indicated with a dashed line. The geometric axis (x) can, for example, show current flow to and from the battery and the geometric axis (y) can, for example, show torque from the combustion engine or the electric machine, corresponding to the example described above.
    [036] The predefined time interval can be any time interval, but it is preferably a relatively long time interval, such as a month or a few weeks, but it could also be up to a year. It is possible to use different time intervals for different vehicle systems. Most systems age relatively slowly, as does the combustion engine, while some systems, such as the battery, age more quickly. In one example, the time frame for the combustion engine is six months and the time frame for the battery is two weeks.
    [037] The time interval can also be dependent on the distance traveled by the vehicle, or on other parameters, such as temperature. Some systems age over time, some systems age more due to the distance covered. For batteries, both capacity and aging are dependent on the ambient temperature.
    [038] The result of comparisons between the measured values and the respective digital files modified over time over the life of the vehicle can be stored and used to create a state of health curve over the lifetime of the vehicle. vehicle system. This can be used to suggest service and component replacement intervals.
    [039] Different vehicle systems can be measured under different operating conditions. It is possible to measure variations in the combustion engine, such as friction torque, engine efficiency, injection timing, etc. Other measurements are temperature and temperature variations in the combustion engine, the electric machine and the battery during different charging conditions, such as charging and discharging the battery. The temperature or temperature change and the exhaust gas composition in the exhaust gas after-treatment system (7) can be measured, for example, during charging and discharging the battery. This can determine a measurement of the aging of the exhaust gas after-treatment system and also changes in the combustion engine.
    [040] Additional measurements are turbo rotational speed, turbo pressure and turbo temperature in order to detect wear on the turbo system. It is also possible to measure vibrations in the chassis with accelerometers in order to detect fatigue in the chassis.
    [041] These measurements can be made under different operating conditions. For some measurements, it is advantageous to measure under extreme load conditions, such as minimum (low) load and maximum (high) load. For a combustion engine, it is possible to measure the torque curve by measuring fuel consumption at different rotational speeds and different loads, but it may be sufficient to measure at low and high rotational speeds.
    [042] Other vehicle components and other vehicle parameters can also be monitored by the method in accordance with the present invention, such as lamps, fans and valves. It is possible to measure the current through a component to observe a change over time. Insulation values can be measured for various electrical systems depending on, for example, temperature, air humidity and pressure.
    [043] Figure 3 shows a schematic flowchart of the method in accordance with the present invention for monitoring the health status of a vehicle system. The method in accordance with the present invention is performed earlier over a longer period of time in order to monitor long-term degradations of different vehicle systems. The method steps are preferably performed by a computer program and a computer program product contained and run in the vehicle's electronic control system.
    [044] In step (100), a plurality of parameter values for the vehicle system is measured under different operating conditions as a line test end. The parameter values are stored in a digital file, where the digital file can comprise an area of acceptance that encompasses all measurement values. An example of such a digital file is shown in Figure 2.
    [045] In step (110), the same plurality of parameter values that are comprised in the digital file is measured under similar load conditions after a pre-defined time interval and is stored in an additional digital file. The time interval can be in the range from weeks to months.
    [046] In step (120), a predefined aging compensation is added to the digital file, where the aging compensation corresponds to a predicted wear on the system during the predefined time interval. The result is stored in a modified digital time file for the vehicle system.
    [047] In step (130), the measured values of the additional digital file are compared with the modified digital time file.
    [048] In step (140), a message is issued if the measured values deviate from the modified digital time file. The message can be stored in a memory for later use or can be sent to a service center for follow-up.
    [049] Therefore, although the present invention has been described accordingly and with reference to specific exemplification and preferred embodiments, those skilled in the art will appreciate that the present invention can be realized in many other different ways with a number of modifications, variations and changes being conceivable without departing from the inventive spirit and the scope of protection as established by the accompanying patent claims. REFERENCE SIGNS Vehicle Combustion engine Electric machine Battery Control unit Cooling system Exhaust gas after-treatment system Measurement values Acceptance area Modified digital file
    权利要求:
    Claims (14)
    [0001]
    1. Method for monitoring the health status of a vehicle system, characterized by the fact that it comprises the following steps: - measurement of a plurality of parameter values for the vehicle system in different operating conditions as an end of line test ; - storage of parameter values in a digital file; - measurement of the same plurality of parameter values that is understood in the digital file under similar load conditions after a pre-defined time interval; - addition of a predefined aging compensation for the digital file, where the aging compensation corresponds to a predicted wear of the system during the predefined time interval, as a result, obtaining a modified digital time file for the system ; - comparison of the measured values with the modified digital time file; and - sending a message if the measured values deviate from the modified digital time file.
    [0002]
    2. Method according to claim 1, characterized by the fact that the measured parameter values are stored in an additional digital file together with information considering the measurement time.
    [0003]
    3. Method according to claims 1 or 2, characterized by the fact that the predefined time interval is less than one year.
    [0004]
    Method according to any of claims 1 to 3, characterized by the fact that the predefined time interval is less than one month.
    [0005]
    5. Method according to claims 1 or 2, characterized by the fact that the predefined time interval corresponds to a regular service interval.
    [0006]
    6. Method according to any of the preceding claims, characterized by the fact that the predefined time interval is dependent on the distance traveled.
    [0007]
    Method according to any of claims 1 to 6, characterized by the fact that the vehicle is a hybrid vehicle comprising a combustion engine and an electric machine.
    [0008]
    8. Method according to claim 7, characterized by the fact that the parameters are measured with the electric machine acting as a load for the combustion engine.
    [0009]
    9. Method according to claims 7 or 8, characterized by the fact that the parameters are measured with the combustion engine acting as a load for the electric machine.
    [0010]
    10. Method according to any of the preceding claims, characterized by the fact that the vehicle system is one of a DIESEL engine, an electrical machine, an exhaust after-treatment system, a cooling system or a battery.
    [0011]
    11. Method according to any of the preceding claims, characterized by the fact that the end of the line test is performed at the end of the production line, when the vehicle is ready for delivery.
    [0012]
    12. Method according to any of the preceding claims, characterized by the fact that the aging compensation is dependent on the external conditions of the vehicle, where an external condition is one of a temperature, an altitude, a humidity, a geographical position or the number of particles in the air.
    [0013]
    13. Method according to any of the preceding claims, characterized by the fact that at least two digital files are combined in a digital matrix.
    [0014]
    14. Memory, characterized by the fact that it comprises instructions stored therein, instructions being executed by a computer to carry out the method as defined in any of claims 1 to 13.
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    同族专利:
    公开号 | 公开日
    EP2989436A1|2016-03-02|
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    JP6564363B2|2019-08-21|
    JP2016520819A|2016-07-14|
    EP2989436B1|2017-06-07|
    US9697652B2|2017-07-04|
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    CN105122029A|2015-12-02|
    US20160078690A1|2016-03-17|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    JPS6333652B2|1981-03-04|1988-07-06|Nissan Motor|
    DE3110774C2|1981-03-19|1989-12-28|Daimler-Benz Aktiengesellschaft, 7000 Stuttgart, De|
    JPH04194645A|1990-11-27|1992-07-14|Suzuki Motor Corp|Failure diagnostic device for vehicle|
    US5491631A|1991-12-25|1996-02-13|Honda Giken Kogyo Kabushiki Kaisha|Fault diagnostic system for vehicles using identification and program codes|
    US6546363B1|1994-02-15|2003-04-08|Leroy G. Hagenbuch|Apparatus for tracking and recording vital signs and task-related information of a vehicle to identify operating patterns|
    US6026639A|1997-11-03|2000-02-22|Engelhard Corporation|Apparatus and method for diagnosis of catalyst performance|
    JP4023643B2|1998-06-02|2007-12-19|株式会社小松製作所|Apparatus performance data measuring method and apparatus for construction machinery|
    JP4583594B2|2000-12-28|2010-11-17|富士重工業株式会社|Vehicle management system|
    EP1219946A3|2000-12-28|2008-03-12|Fuji Jukogyo Kabushiki Kaisha|Vehicle management system|
    JP2002203605A|2000-12-28|2002-07-19|Denso Corp|Nonaqueous electrolyte solution battery|
    US6701232B2|2001-04-25|2004-03-02|Fuji Jukogyo Kabushiki Kaisha|Vehicle management system|
    US6745151B2|2002-05-16|2004-06-01|Ford Global Technologies, Llc|Remote diagnostics and prognostics methods for complex systems|
    US7454963B2|2003-10-09|2008-11-25|Avl List Gmbh|Method for ensuring the reliability of technical components|
    US20050114088A1|2003-11-24|2005-05-26|Gorden Ellis E.|Methods and systems for component wear prediction|
    US7260501B2|2004-04-21|2007-08-21|University Of Connecticut|Intelligent model-based diagnostics for system monitoring, diagnosis and maintenance|
    JP4369825B2|2004-08-11|2009-11-25|株式会社日立製作所|Vehicle failure diagnosis device and in-vehicle terminal|
    US7558655B2|2004-09-10|2009-07-07|Ford Global Technologies, Llc|Prognostic method and system for hybrid and electric vehicle components|
    CA2586119C|2004-11-12|2013-10-01|Volvo Trucks North America, Inc.|Systems and methods for guiding operators to optimized engine operation|
    FR2899640B1|2006-04-05|2011-11-25|Eurocopter France|METHOD AND DEVICE FOR REALIZING A HEALTH CONTROL OF A TURBOMOTOR OF A BIMOTING GIRROR|
    JP4940779B2|2006-06-22|2012-05-30|マツダ株式会社|Remote fault diagnosis system|
    WO2008127243A1|2007-04-16|2008-10-23|Robert Bosch Gmbh|Multiple source networked diagnostic data logging|
    US7847579B2|2007-06-28|2010-12-07|Gm Global Technology Operations, Inc.|Systems and methods to evaluate permanent magnet motors|
    FR2922945B1|2007-10-31|2009-11-27|Peugeot Citroen Automobiles Sa|METHOD FOR DETERMINING MAINTENANCE INTERVAL FOR MOTOR VEHICLE.|
    AT504028B1|2007-11-02|2009-03-15|Avl List Gmbh|METHOD FOR THE DAMAGE PRESENTATION OF COMPONENTS OF A MOTOR VEHICLE|
    US9279461B2|2008-05-13|2016-03-08|Borgwarner Inc.|Integrated memory chip for a coupling device|
    US20100057479A1|2008-08-26|2010-03-04|Gm Global Technology Operations, Inc.|System and method to compute vehicle health index from aggregate data|
    US8280646B2|2009-02-25|2012-10-02|Bayerische Motoren Werke Aktiengesellschaft|Vehicle CO2 emission offsetting system and method|
    US20110046842A1|2009-08-21|2011-02-24|Honeywell International Inc.|Satellite enabled vehicle prognostic and diagnostic system|
    US20110082621A1|2009-10-02|2011-04-07|Eric Berkobin|Method and system for predicting battery life based on vehicle battery, usage, and environmental data|
    CN102959418B|2010-06-24|2016-04-27|松下知识产权经营株式会社|Obtain the method and system of the impairment grade of battery|
    US8452479B2|2010-12-10|2013-05-28|Kaarya, Llc|In-car service interval adjustment device|
    US20130294479A1|2011-01-24|2013-11-07|Toyota Jidosha Kabushiki Kaisha|Electric storage system|
    US9251309B2|2011-09-21|2016-02-02|GM Global Technology Operations LLC|Cost-optimized model-based extension of system life|
    US9625532B2|2011-10-10|2017-04-18|Battelle Energy Alliance, Llc|Method, system, and computer-readable medium for determining performance characteristics of an object undergoing one or more arbitrary aging conditions|
    US8612079B2|2011-12-14|2013-12-17|GM Global Technology Operations LLC|Optimizing system performance using state of health information|
    EP2657057A1|2012-04-26|2013-10-30|FPT Motorenforschung AG|System for checking a combustion engine coupled with an electric generator of a hybrid terrestrial vehicle having a drive line driven by at least one electric motor|
    JP5538475B2|2012-05-25|2014-07-02|本田技研工業株式会社|External diagnostic device, vehicle diagnostic system, and vehicle diagnostic method|
    US10643403B2|2012-08-20|2020-05-05|Innova Electronics Corporation|Predictive diagnostic method and system|
    CN104995402B|2013-02-14|2018-09-07|维斯塔斯风力系统集团公司|It is abnormal to detect blade construction|
    SE536922C2|2013-02-19|2014-10-28|Basim Al-Najjar|A method and apparatus for predicting the condition of a machine or component of the machine|
    JP2014190763A|2013-03-26|2014-10-06|Toshiba Corp|Battery lifetime estimation method and battery lifetime estimation device|
    US20140309905A1|2013-04-05|2014-10-16|Michael Drew|System and method for sending and receiving messages between an electronic control unit of a vehicle and an external device|
    JP6564363B2|2013-04-22|2019-08-21|ボルボトラックコーポレーション|Method for monitoring the health status of a vehicle system|
    SE537438C2|2013-06-10|2015-04-28|Scania Cv Ab|Procedure for monitoring and storing operating quantities in an internal combustion engine|
    DE102013211543A1|2013-06-19|2014-12-24|Robert Bosch Gmbh|Method for the aging and energy-efficient operation, in particular of a motor vehicle|
    US10393813B2|2013-08-27|2019-08-27|The Regents Of The University Of Michigan|On-board state of health monitoring of batteries using incremental capacity analysis|JP6564363B2|2013-04-22|2019-08-21|ボルボトラックコーポレーション|Method for monitoring the health status of a vehicle system|
    EP3295653A1|2015-05-14|2018-03-21|Airbiquity Inc.|Centralized management of mobile-assisted motor vehicle software upgrading and vehicle data analytics|
    WO2017108107A1|2015-12-22|2017-06-29|Volvo Truck Corporation|A method and system for monitoring electrical insulation resistance in an electric system|
    DE102016107038A1|2016-04-15|2017-10-19|Johnson Controls Autobatterie Gmbh & Co. Kgaa|A method and apparatus for estimating a condition of an energy storage system of a vehicle|
    US10309871B2|2016-09-22|2019-06-04|Ford Global Technologie, Llc|Trailer for measuring operating characteristics of a vehicle|
    US10553041B2|2017-03-27|2020-02-04|Ford Global Technologies, Llc|Method and apparatus for vehicle system wear prediction|
    US10269192B2|2017-04-07|2019-04-23|Airbiquity Inc.|Technologies for verifying control system operation|
    DE102017210366A1|2017-06-21|2018-12-27|Robert Bosch Gmbh|Method for operating a vehicle electrical system|
    CN109991019B|2017-08-11|2021-02-23|西华大学|Automobile visual field checking method|
    CN108254199B|2017-12-08|2021-03-26|泰康保险集团股份有限公司|Vehicle health prediction method, device and equipment|
    CN110726563B|2018-07-16|2021-10-12|奇瑞捷豹路虎汽车有限公司|Vehicle detection method and system|
    DE102018219152A1|2018-11-09|2020-05-28|Zf Friedrichshafen Ag|Method for operating a vehicle drive train|
    DE102019201216B4|2019-01-31|2021-11-25|Audi Ag|Method for monitoring at least one bearing of a motor vehicle, in particular a motor vehicle, as well as a motor vehicle|
    DE102019107240A1|2019-03-21|2020-09-24|Volkswagen Aktiengesellschaft|Diagnostic method, diagnostic system and motor vehicle|
    DE102019107242A1|2019-03-21|2020-09-24|Volkswagen Aktiengesellschaft|Diagnostic method, diagnostic system and motor vehicle|
    CN110807847B|2019-11-13|2021-10-01|江铃汽车股份有限公司|Offline detection method based on Internet of vehicles module and remote service platform|
    法律状态:
    2018-12-04| B06F| Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette]|
    2020-02-11| B06U| Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]|
    2020-10-20| B09A| Decision: intention to grant [chapter 9.1 patent gazette]|
    2021-01-05| B16A| Patent or certificate of addition of invention granted|Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 22/04/2013, OBSERVADAS AS CONDICOES LEGAIS. |
    优先权:
    申请号 | 申请日 | 专利标题
    PCT/EP2013/001189|WO2014173421A1|2013-04-22|2013-04-22|Method for monitoring state of health of a vehicle system|
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