CN106248398A - The diagnostic method of a kind of automobile and device - Google Patents
The diagnostic method of a kind of automobile and device Download PDFInfo
- Publication number
- CN106248398A CN106248398A CN201610801753.1A CN201610801753A CN106248398A CN 106248398 A CN106248398 A CN 106248398A CN 201610801753 A CN201610801753 A CN 201610801753A CN 106248398 A CN106248398 A CN 106248398A
- Authority
- CN
- China
- Prior art keywords
- fault
- time
- vehicle
- identification code
- failure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides diagnostic method and the device of a kind of automobile, wherein, the diagnostic method of this automobile, is applied to cloud server, and this diagnostic method includes: obtain vehicle parameter information when fault car breaks down and fault type；According to fault type, confirm the fault diagnosis mode corresponding with fault type；According to vehicle parameter information, fault diagnosis mode is used to carry out fault diagnosis, it is thus achieved that fault diagnosis result.The diagnostic method of automobile that the embodiment of the present invention provides and device, it is possible to realize in real time and quick diagnosis, and diagnose and participate in without artificial, save human cost, simultaneously it can be avoided that because diagnostic personnel is lacked experience the mistaken diagnosis caused, improve diagnostic accuracy；Further, since use corresponding diagnostic mode to diagnose, it is possible to reduce the external output of enterprise key data, enhance technical know-how work effectively.
Description
Technical field
The present invention relates to vehicle maintenance technical field, particularly relate to diagnostic method and the device of a kind of automobile.
Background technology
New-energy automobile is still in starting and Rapid development stage at present, and vehicle reliability is the highest.Especially by key
Parts battery technology and management system stability impact thereof, integrity problem concentrates reaction to sit in fault at vehicle.
The existing remote monitoring platform that is provided with, vehicle real time is sent to monitor supervision platform by car-mounted terminal, by artificially at prison
Inquire about on control platform, it may be appreciated that vehicle runs real time health situation and historical data, therefore examines for vehicle testing and fault
Break and provide strong foundation, thus be embodied as client and real-time network diagnosis and offer possibility of answering questions are provided.But existing platform is only
Data can be merely provided, there is no active diagnosing function, be technician because of diagnosis main body simultaneously, thus diagnostic accuracy and and
Shi Xingjun is affected by human factors, and there is accuracy and the highest problem of promptness.
Summary of the invention
The technical problem to be solved in the present invention is to provide diagnostic method and the device of a kind of automobile, it is possible to solve existing vapour
The accuracy of car network diagnosis and the highest problem of promptness.
First aspect, the embodiment of the present invention provides the diagnostic method of a kind of automobile, is applied to cloud server, this diagnosis side
Method includes:
Obtain vehicle parameter information when fault car breaks down and fault type；
According to fault type, confirm the fault diagnosis mode corresponding with fault type；
According to vehicle parameter information, fault diagnosis mode is used to carry out fault diagnosis, it is thus achieved that fault diagnosis result.
Wherein, the step obtaining vehicle parameter information when fault car breaks down and fault type includes:
Obtain vehicle identification code and the fault reference time of user's input；
Time of failure is determined according to vehicle identification code and fault reference time；
According to vehicle identification code and time of failure, enquiring vehicle information bank, it is thus achieved that vehicle parameter information.
Wherein, determine that the step of time of failure includes according to vehicle identification code and fault reference time:
When fault type be driving process continual mileage decline too fast time, according to vehicle identification code obtain fault car away from
State-of-charge data in fault reference time preset time period, and determine time of failure according to state-of-charge data.
Wherein, determine that the step of time of failure includes according to vehicle identification code and fault reference time:
When fault type is for travelling or automatically power off for trickle charge process, obtain fault car according to vehicle identification code
Vehicle-state value in distance fault reference time preset time period, and determine time of failure according to vehicle-state value.
Wherein, determine that the step of time of failure includes according to vehicle identification code and fault reference time:
When fault type be cannot trickle charge time, according to vehicle identification code obtain fault car pre-in the distance fault reference time
If the CC magnitude of voltage in the time period, determine time of failure according to CC magnitude of voltage.
Wherein, according to fault type, confirm that the step of the fault diagnosis mode corresponding with fault type includes:
When fault type be driving process continual mileage decline too fast time, confirm that corresponding fault diagnosis mode is according to car
Identification code obtains the electrokinetic cell configuration information of fault car, and according to electrokinetic cell configuration information, to vehicle parameter information
Carry out fault diagnosis.
Wherein, according to fault type, confirm that the step of the fault diagnosis mode corresponding with fault type includes:
When fault type is for travelling, confirm that corresponding fault diagnosis mode occurs in fault for obtaining fault car
The DTC of time, according to DTC, carries out fault diagnosis to vehicle parameter information.
Second aspect, the embodiment of the present invention provides the diagnostic equipment of a kind of automobile, is applied to cloud server, and this diagnosis fills
Put and include:
Acquisition module, for obtaining vehicle parameter information when fault car breaks down and fault type；
Confirm module, for according to fault type, confirm the fault diagnosis mode corresponding with fault type；
Processing module, for according to vehicle parameter information, uses fault diagnosis mode to carry out fault diagnosis, it is thus achieved that fault is examined
Disconnected result.
Wherein, acquisition module includes:
Acquiring unit, for obtaining vehicle identification code and the fault reference time of user's input；
Determine unit, for determining time of failure according to vehicle identification code and fault reference time；
Processing unit, for according to vehicle identification code and time of failure, enquiring vehicle information bank, it is thus achieved that vehicle parameter
Information.
Wherein it is determined that unit includes:
First determines subelement, for when fault type be driving process continual mileage decline too fast time, according to vehicle know
Other code obtains fault car state-of-charge data in distance fault reference time preset time period, and according to state-of-charge number
According to determining time of failure.
Wherein it is determined that unit includes:
Second determines subelement, for when fault type is for travelling or automatically power off for trickle charge process, according to car
Identification code obtains fault car vehicle-state value in distance fault reference time preset time period, and according to vehicle-state
Value determines time of failure.
Wherein it is determined that unit includes:
3rd determines subelement, for when fault type be cannot trickle charge time, according to vehicle identification code acquisition fault car
CC magnitude of voltage in distance fault reference time preset time period, determines time of failure according to CC magnitude of voltage.
Wherein, confirm that module includes:
First confirmation unit, for when fault type be driving process continual mileage decline too fast time, confirm corresponding event
Barrier diagnostic mode is the electrokinetic cell configuration information obtaining fault car according to vehicle identification code, and according to electrokinetic cell configuration letter
Breath, carries out fault diagnosis to vehicle parameter information.
Wherein, confirm that module includes:
Second confirmation unit, for when fault type is for travelling, confirms that corresponding fault diagnosis mode is for obtaining
Fault car, at the DTC of time of failure, according to DTC, carries out fault diagnosis to vehicle parameter information.
Compared with prior art, the diagnostic method of the automobile that the embodiment of the present invention provides and device, by obtaining disabled vehicle
Vehicle parameter information when breaking down and fault type；According to fault type, confirm the fault corresponding with fault type
Diagnostic mode；According to vehicle parameter information, fault diagnosis mode is used to carry out fault diagnosis, it is thus achieved that fault diagnosis result, it is possible to
Realize in real time and quick diagnosis, and diagnose and participate in without artificial, save human cost, simultaneously it can be avoided that because of diagnostic personnel warp
Test the mistaken diagnosis that deficiency causes, improve diagnostic accuracy；Further, since use corresponding diagnostic mode to diagnose, it is possible to reduce
The external output of enterprise key data, enhances technical know-how work effectively.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, required in the embodiment of the present invention being described below
Accompanying drawing to be used is briefly described, it should be apparent that, the accompanying drawing in describing below is only some embodiments of the present invention,
For those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain according to these accompanying drawings
Obtain other accompanying drawing.
Fig. 1 represents the flow chart of the diagnostic method of the automobile that the embodiment of the present invention provides；
Fig. 2 represents the structured flowchart of the diagnostic equipment of the automobile that the embodiment of the present invention provides；
Fig. 3 represents the flow chart of the diagnostic method of the automobile that the concrete example of the present invention provides.
Detailed description of the invention
For making the technical problem to be solved in the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and tool
Body embodiment is described in detail.
The diagnostic method of the automobile that the embodiment of the present invention provides, accumulation based on a large amount of historical failure empirical datas, wherein
The diagnostic mode of correspondence it is provided with, it is achieved be analyzed diagnosis for concrete fault type for different fault types, and defeated
Go out conclusion.The diagnostic method provided by the embodiment of the present invention is enabled to quick diagnosis and is possibly realized so that market quickly rings
Should be possibly realized.
Referring to Fig. 1, it is illustrated that the flow chart of diagnostic method of automobile that the embodiment of the present invention provides, and the present invention is real
Executing example and provide the diagnostic method of a kind of automobile, be applied to cloud server, this diagnostic method may comprise steps of:
Step 101, obtains vehicle parameter information when fault car breaks down and fault type；
Step 102, according to fault type, confirms the fault diagnosis mode corresponding with fault type；
Step 103, according to vehicle parameter information, uses fault diagnosis mode to carry out fault diagnosis, it is thus achieved that fault diagnosis is tied
Really.
In this embodiment, for different fault types, it is previously provided with the fault diagnosis mode of correspondence, by obtain
Vehicle parameter information uses corresponding fault diagnosis mode to carry out fault diagnosis, to obtain fault diagnosis result.In addition, it is necessary to say
Bright, fault car possesses and possesses real-time communication function with this cloud server, such as, be equipped with car-mounted terminal, it is possible to pass through
Car-mounted terminal uploads vehicle information data to cloud server in real time.
In some optional embodiments, step 101, obtain fault car vehicle parameter information when breaking down with
And the step of fault type may include that
Obtain vehicle identification code (VIN, Vehicle Identification Number) and the fault reference of user's input
Time；
Time of failure is determined according to vehicle identification code and fault reference time；
According to vehicle identification code and time of failure, enquiring vehicle information bank, it is thus achieved that vehicle parameter information.
Here, this information of vehicles storehouse internal memory contains the vehicle parameter letter that the vehicle corresponding with vehicle identification code is uploaded in real time
Breath, vehicle parameter information can include but not limited to battery cell minimum voltage, temperature and battery charging and discharging current data, preliminary filling
Relay status value, the vehicle parameter such as BCU self-inspection counter status value.
Wherein, for different fault types can use targetedly method to determine time of failure.
Such as, in some optional embodiments, determine that fault occurs according to vehicle identification code and fault reference time
The step of time may include that
When fault type be driving process continual mileage decline too fast time, according to vehicle identification code obtain fault car away from
State-of-charge (SOC, state of charge) data in fault reference time preset time period, and according to state-of-charge
Data determine time of failure.
Here, fault type be driving process continual mileage decline too fast time, can by obtain distance fault reference
State-of-charge data in time preset time period are to determine time of failure, concrete, can according to vehicle identification code and
The fault reference time, enquiring vehicle information bank to obtain the state-of-charge data in distance fault reference time preset time period,
These state-of-charge data are made graphical treatment according to the time, finds out the moment that state-of-charge data decline suddenly, be defined as event
Barrier time of origin.
The most such as, in some optional embodiments, determine that fault is sent out according to vehicle identification code and fault reference time
The step of raw time may include that
When fault type is for travelling or automatically power off for trickle charge process, obtain fault car according to vehicle identification code
Vehicle-state value in distance fault reference time preset time period, and determine time of failure according to vehicle-state value.
Here, when fault type is for travelling or automatically power off for trickle charge process, can be by obtaining distance event
Vehicle-state value in barrier reference time preset time period is to determine time of failure, concrete, can be according to vehicle identification
Code and fault reference time, enquiring vehicle information bank is to obtain the vehicle-state in distance fault reference time preset time period
Value, makees graphical treatment by this vehicle-state value according to the time, finds out the time that the change of vehicle-state value is maximum, is defined as fault
Time of origin.
The most such as, in some optional embodiments, determine that fault is sent out according to vehicle identification code and fault reference time
The step of raw time includes:
When fault type be cannot trickle charge time, according to vehicle identification code obtain fault car pre-in the distance fault reference time
If the CC magnitude of voltage in the time period, determine time of failure according to CC magnitude of voltage.
Here, fault type be cannot trickle charge time, can be by obtaining in distance fault reference time preset time period
CC magnitude of voltage to determine time of failure, concrete, can be according to vehicle identification code and fault reference time, enquiring vehicle
This CC magnitude of voltage, to obtain the CC magnitude of voltage in distance fault reference time preset time period, is made figure according to the time by information bank
Change processes, and determines that rifle time, i.e. time of failure are inserted in trickle charge.
In some optional embodiments, step 102, according to fault type, confirm the fault corresponding with fault type
The step of diagnostic mode may include that
When fault type be driving process continual mileage decline too fast time, confirm that corresponding fault diagnosis mode is according to car
Identification code obtains the electrokinetic cell configuration information of fault car, and according to electrokinetic cell configuration information, to vehicle parameter information
Carry out fault diagnosis.
Here, electrokinetic cell configuration information can include but not limited to electrokinetic cell supplier information and battery software version
This information etc..For different electrokinetic cell configuration informations to there being corresponding diagnosis policy, to realize corresponding fault is divided
Analysis diagnosis.
In some optional embodiments, step 102, according to fault type, confirm the fault corresponding with fault type
The step of diagnostic mode may include that
When fault type is for travelling, confirm that corresponding fault diagnosis mode occurs in fault for obtaining fault car
The DTC of time, according to DTC, carries out fault diagnosis to vehicle parameter information.
Here, all corresponding corresponding diagnosis policy of each DTC, to realize being analyzed diagnosis for concrete DTC.
It addition, when fault type be trickle charge process automatically power off or cannot trickle charge time, confirm corresponding fault diagnosis mode
For the fault car vehicle parameter information when breaking down is carried out fault diagnosis.
The diagnostic method of the automobile that the embodiment of the present invention provides, vehicle parameter when breaking down by obtaining fault car
Information and fault type；According to fault type, confirm the fault diagnosis mode corresponding with fault type；Believe according to vehicle parameter
Breath, uses fault diagnosis mode to carry out fault diagnosis, it is thus achieved that fault diagnosis result, it is possible to realize in real time and quick diagnosis, and
Diagnose and participate in without artificial, save human cost, simultaneously it can be avoided that because diagnostic personnel is lacked experience the mistaken diagnosis caused, raising is examined
Disconnected accuracy；Further, since use corresponding diagnostic mode to diagnose, it is possible to reduce the external output of enterprise key data,
Enhance technical know-how work effectively.
Based on above method, the embodiment of the present invention additionally provides to realize the diagnostic equipment of the automobile of said method.Ginseng
Seeing Fig. 2, it is illustrated that the structured flowchart of the diagnostic equipment of automobile that the embodiment of the present invention provides, and the embodiment of the present invention provides one
Planting the diagnostic equipment of automobile, be applied to cloud server, this diagnostic equipment may include that acquisition module 210, confirms module 220
And processing module 230.
Acquisition module 210, for obtaining vehicle parameter information when fault car breaks down and fault type；
Confirm module 220, for according to fault type, confirm the fault diagnosis mode corresponding with fault type；
Processing module 230, for according to vehicle parameter information, uses fault diagnosis mode to carry out fault diagnosis, it is thus achieved that therefore
Barrier diagnostic result.
Wherein, acquisition module 210 may include that acquiring unit, determines unit and processing unit.
Acquiring unit, for obtaining vehicle identification code and the fault reference time of user's input；
Determine unit, for determining time of failure according to vehicle identification code and fault reference time；
Processing unit, for according to vehicle identification code and time of failure, enquiring vehicle information bank, it is thus achieved that vehicle parameter
Information.
Wherein it is determined that unit may include that first determines subelement.
First determines subelement, for when fault type be driving process continual mileage decline too fast time, according to vehicle know
Other code obtains fault car state-of-charge data in distance fault reference time preset time period, and according to state-of-charge number
According to determining time of failure.
Wherein it is determined that unit may include that second determines subelement.
Second determines subelement, for when fault type is for travelling or automatically power off for trickle charge process, according to car
Identification code obtains fault car vehicle-state value in distance fault reference time preset time period, and according to vehicle-state
Value determines time of failure.
Wherein it is determined that unit may include that the 3rd determines subelement.
3rd determines subelement, for when fault type be cannot trickle charge time, according to vehicle identification code acquisition fault car
CC magnitude of voltage in distance fault reference time preset time period, determines time of failure according to CC magnitude of voltage.
Wherein, confirm that module 220 may include that the first confirmation unit.
First confirmation unit, for when fault type be driving process continual mileage decline too fast time, confirm corresponding event
Barrier diagnostic mode is the electrokinetic cell configuration information obtaining fault car according to vehicle identification code, and according to electrokinetic cell configuration letter
Breath, carries out fault diagnosis to vehicle parameter information.
Wherein, confirm that module 220 may include that the second confirmation unit.
Second confirmation unit, for when fault type is for travelling, confirms that corresponding fault diagnosis mode is for obtaining
Fault car, at the DTC of time of failure, according to DTC, carries out fault diagnosis to vehicle parameter information.
The diagnostic method of the automobile that the diagnostic equipment of the automobile that above-described embodiment provides provides with previous embodiment belongs to same
One design, it implements process and refers to the embodiment of description method, for avoiding repeating, repeats no more here.
The diagnostic equipment of the automobile that the embodiment of the present invention provides, vehicle parameter when breaking down by obtaining fault car
Information and fault type；According to fault type, confirm the fault diagnosis mode corresponding with fault type；Believe according to vehicle parameter
Breath, uses fault diagnosis mode to carry out fault diagnosis, it is thus achieved that fault diagnosis result, it is possible to realizes in real time and quick diagnosis, improves
Diagnostic accuracy；Further, since use corresponding diagnostic mode to diagnose, it is possible to reduce enterprise key data the most defeated
Go out, enhance technical know-how work effectively.
Finally, then by concrete example, the present invention is described in more detail.
In this concrete example, relate generally to provide the fault type of four quasi-representatives, respectively driving process continual mileage
Decline too fast (causing sitting), cannot travel, high pressure and trickle charge problem four class fault cannot be gone up, wherein, it is impossible to the event of upper high pressure
Barrier type can belong to, in the fault type that cannot travel, it individually be listed here；Trickle charge problem can include trickle charge
Journey automatically powers off and cannot two fault type of trickle charge.
Seeing Fig. 3, it is illustrated that the flow chart of diagnostic method of automobile that the concrete example of the present invention provides, and this specifically shows
The implementing procedure of the diagnostic method of the automobile that example provides is as follows:
Step 1, obtains fault car VIN code and the fault reference time of input.Here, user can by mobile phone or
Client is installed on the terminal units such as computer, is docked with cloud server by client；Or passed through backstage by staff
System enters and docks with cloud server；Then by client or background system input fault vehicle VIN code and fault reference
Time, so that cloud server obtains this VIN code and fault reference time.It addition, user selects to determine fault type.According to
Family input determines fault type, when determining fault type " driving process continual mileage declines too fast ", then enters step 3；When really
Determine fault type " cannot travel ", then enter step 11；When determining that fault type " cannot go up high pressure ", then enter step 17；When
Determine fault type " trickle charge fault ", then enter step 23.
Step 2, obtains vehicle VIN.
Step 3, obtains and stores electrokinetic cell supplier and battery software version information.Here, obtain according to vehicle VIN code
Take the electrokinetic cell supplier of fault car and battery software version information and store, if cloud server is without this parameter, then entering
Enter step 4；Otherwise enter step 5.
Step 4, shows unpowered battery supplier and software version information, terminates diagnosis, enters step 34；
Step 5, obtains fault car near the fault reference time (i.e. in distance fault reference time preset time period)
SOC data, and determine time of failure.Here, temporally make graphical treatment, find out the moment of the unexpected rapid decrease of SOC,
Confirm as time of failure.If SOC data are discontinuous or disappearance, then enter step 7；Otherwise enter step 6.
Step 6, obtains the vehicle parameters such as time of failure battery cell minimum voltage, temperature and battery charging and discharging electric current
Information.If shortage of data or deficiency, then enter step 7；Otherwise enter step 8.
Step 7, shows fault moment historical data deficiency or without historical data.Here, terminate diagnosis, enter step 34.
Step 8, is analyzed diagnosis according to battery supplier and software version；Here, join for different electrokinetic cells
Confidence breath is correspondingly arranged on corresponding diagnosis policy, in advance to carry out fault diagnosis.
Step 9, exports diagnosis.Here, show failure cause, clearly fault parts are positioned, terminate to examine
Disconnected, enter step 33.
Step 10, obtains vehicle VIN.
Step 11, obtains a period of time (i.e. in distance fault reference time preset time period) car near the fault reference time
Data such as state value and car load pattern, confirm time of failure, if shortage of data or deficiency, enter step 12, otherwise enter
Enter step 13.
Step 12, display is without historical data or deficiency, it is impossible to confirm time of failure.Here, terminate diagnosis, enter step
Rapid 33.
Step 13, obtains the DTC of time of failure.
Step 14, obtains positive and negative end and preliminary filling relay status value, the BCU self-inspection counter status of time of failure
The vehicle parameter information such as value and battery charging and discharging electric current；According to DTC, carry out fault diagnosis.
Step 15, exports diagnosis.Here, terminate diagnosis, enter step 34.
Step 16, obtains vehicle VIN.
Step 17, obtains a period of time (i.e. in distance fault reference time preset time period) car near the fault reference time
State value historical data, confirms time of failure.If shortage of data or deficiency, enter step 18, otherwise enter step 19.
Step 18, display is without historical data or deficiency, it is impossible to confirm time of failure.Here, terminate diagnosis, enter step
Rapid 33.
Step 19, obtains the DTC of time of failure.
Step 20, obtains positive and negative end and preliminary filling relay status value, the BCU self-inspection counter status of time of failure
The vehicle parameter information such as value and battery charging and discharging electric current；According to DTC, carry out fault diagnosis.
Step 21, exports diagnosis.Here, terminate diagnosis, enter step 33.
Step 22, shows trickle charge fault type.Determine fault type " cannot trickle charge ", then enter step 23.Determine fault
Type " trickle charge process automatically powers off ", then enter step 28.
Step 23, obtains vehicle VIN.
Step 24, obtains a period of time (i.e. in distance fault reference time preset time period) CC near the fault reference time
Magnitude of voltage, confirms that rifle time, i.e. time of failure are inserted in trickle charge.If shortage of data or deficiency, enter step 25, otherwise enter step
Rapid 26.
Step 25, display is without historical data or deficiency, it is impossible to confirm that the rifle time is inserted in trickle charge.Here, terminate diagnosis, enter step
Rapid 33.
Step 26, obtains vehicle parameter information and is analyzed diagnosis.
Step 27, exports diagnosis.Here, terminate diagnosis, enter step 33.
Step 28, obtains vehicle VIN.
Step 29, obtains a period of time (i.e. in distance fault reference time preset time period) car near the fault reference time
State value historical data, confirms time of failure.If shortage of data or deficiency, enter step 30, otherwise enter step 31.
Step 30, display is without historical data or deficiency, it is impossible to confirm time of failure.Here, terminate diagnosis, enter step
Rapid 33.
Step 31, obtains vehicle parameter information and is analyzed diagnosis.
Step 32, exports diagnosis.Terminate diagnosis, enter step 33.
Step 33, returns inputting interface or directly logs off.
For aforesaid embodiment of the method, in order to be briefly described, therefore it is all expressed as a series of combination of actions, but
Those skilled in the art should know, the present invention is not limited by described sequence of movement, because according to the present invention, some
Step can use other orders or carry out simultaneously.Secondly, those skilled in the art also should know, described in the specification
Embodiment belong to preferred embodiment, involved action is the most essential to the invention.
It should be noted that in inventive embodiments, the relational terms of such as first and second or the like be used merely to by
One entity or operation separate with another entity or operating space, and not necessarily require or imply these entities or operation
Between exist any this reality relation or order.
The described unit illustrated as separating component can be or may not be physically separate, shows as unit
The parts shown can be or may not be physical location, i.e. may be located at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected according to the actual needs to realize the mesh of the present embodiment scheme
's.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.
If described function is using the form realization of SFU software functional unit and as independent production marketing or use, permissible
It is stored in a computer read/write memory medium.Based on such understanding, technical scheme is the most in other words
The part contributing prior art or the part of this technical scheme can embody with the form of software product, this meter
Calculation machine software product is stored in a storage medium, including some instructions with so that a computer equipment (can be individual
People's computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.
And aforesaid storage medium includes: USB flash disk, portable hard drive, ROM, RAM, magnetic disc or CD etc. are various can store program code
Medium.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, on the premise of without departing from principle of the present invention, it is also possible to make some improvements and modifications, these improvements and modifications are also
Should be regarded as protection scope of the present invention.
Claims (14)
1. a diagnostic method for automobile, is applied to cloud server, it is characterised in that described diagnostic method includes:
Obtain vehicle parameter information when fault car breaks down and fault type；
According to described fault type, confirm the fault diagnosis mode corresponding with described fault type；
According to described vehicle parameter information, described fault diagnosis mode is used to carry out fault diagnosis, it is thus achieved that fault diagnosis result.
Diagnostic method the most according to claim 1, it is characterised in that vehicle when described acquisition fault car breaks down
The step of parameter information and fault type includes:
Obtain vehicle identification code and the fault reference time of user's input；
Time of failure is determined according to described vehicle identification code and described fault reference time；
According to described vehicle identification code and described time of failure, enquiring vehicle information bank, it is thus achieved that described vehicle parameter information.
Diagnostic method the most according to claim 2, it is characterised in that described according to described vehicle identification code with described fault
Reference time determines that the step of time of failure includes:
When described fault type be driving process continual mileage decline too fast time, according to described vehicle identification code obtain described fault
Vehicle is in the state-of-charge data in described fault reference time preset time period and true according to described state-of-charge data
Fixed described time of failure.
Diagnostic method the most according to claim 2, it is characterised in that described according to described vehicle identification code with described fault
Reference time determines that the step of time of failure includes:
When described fault type is for travelling or automatically power off for trickle charge process, obtain described according to described vehicle identification code
Fault car is in the vehicle-state value in described fault reference time preset time period and true according to described vehicle-state value
Fixed described time of failure.
Diagnostic method the most according to claim 2, it is characterised in that described according to described vehicle identification code with described fault
Reference time determines that the step of time of failure includes:
When described fault type be cannot trickle charge time, according to described vehicle identification code obtain described fault car apart from described therefore
CC magnitude of voltage in barrier reference time preset time period, determines described time of failure according to described CC magnitude of voltage.
Diagnostic method the most according to claim 1, it is characterised in that described according to described fault type, confirms with described
The step of the fault diagnosis mode that fault type is corresponding includes:
When described fault type be driving process continual mileage decline too fast time, confirm institute according to corresponding fault diagnosis mode
State vehicle identification code and obtain the electrokinetic cell configuration information of described fault car, and according to described electrokinetic cell configuration information, right
Described vehicle parameter information carries out fault diagnosis.
Diagnostic method the most according to claim 1, it is characterised in that described according to described fault type, confirms with described
The step of the fault diagnosis mode that fault type is corresponding includes:
When described fault type is for travelling, confirm that corresponding fault diagnosis mode is for obtaining described fault car in fault
The DTC of time of origin, according to described DTC, carries out fault diagnosis to described vehicle parameter information.
8. a diagnostic equipment for automobile, is applied to cloud server, it is characterised in that the described diagnostic equipment includes:
Acquisition module, for obtaining vehicle parameter information when fault car breaks down and fault type；
Confirm module, for according to described fault type, confirm the fault diagnosis mode corresponding with described fault type；
Processing module, for according to described vehicle parameter information, uses described fault diagnosis mode to carry out fault diagnosis, it is thus achieved that therefore
Barrier diagnostic result.
The diagnostic equipment the most according to claim 8, it is characterised in that described acquisition module includes:
Acquiring unit, for obtaining vehicle identification code and the fault reference time of user's input；
Determine unit, for determining time of failure according to described vehicle identification code and described fault reference time；
Processing unit, for according to described vehicle identification code and described time of failure, enquiring vehicle information bank, it is thus achieved that described
Vehicle parameter information.
The diagnostic equipment the most according to claim 9, it is characterised in that described determine that unit includes:
First determines subelement, for when described fault type be driving process continual mileage decline too fast time, according to described car
Identification code obtains described fault car in the state-of-charge data in described fault reference time preset time period, and root
Described time of failure is determined according to described state-of-charge data.
11. diagnostic equipments according to claim 9, it is characterised in that described determine that unit includes:
Second determines subelement, for when described fault type is for travelling or automatically power off for trickle charge process, according to institute
State vehicle identification code obtain described fault car in the vehicle-state value in described fault reference time preset time period, and
Described time of failure is determined according to described vehicle-state value.
12. diagnostic equipments according to claim 9, it is characterised in that described determine that unit includes:
3rd determines subelement, for when described fault type be cannot trickle charge time, according to described vehicle identification code obtain described in
Fault car, at the CC magnitude of voltage in described fault reference time preset time period, determines described according to described CC magnitude of voltage
Time of failure.
13. diagnostic equipments according to claim 8, it is characterised in that described confirmation module includes:
First confirmation unit, for when described fault type be driving process continual mileage decline too fast time, confirm corresponding event
According to barrier diagnostic mode, described vehicle identification code obtains the electrokinetic cell configuration information of described fault car, and according to described dynamic
Power battery configuration information, carries out fault diagnosis to described vehicle parameter information.
14. diagnostic equipments according to claim 8, it is characterised in that described confirmation module includes:
Second confirmation unit, for when described fault type is for travelling, confirms that corresponding fault diagnosis mode is for obtaining
Described fault car, at the DTC of time of failure, according to described DTC, carries out fault to described vehicle parameter information
Diagnosis.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610801753.1A CN106248398B (en) | 2016-09-05 | 2016-09-05 | A kind of diagnostic method and device of automobile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610801753.1A CN106248398B (en) | 2016-09-05 | 2016-09-05 | A kind of diagnostic method and device of automobile |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106248398A true CN106248398A (en) | 2016-12-21 |
| CN106248398B CN106248398B (en) | 2018-11-02 |
Family
ID=57599169
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610801753.1A Active CN106248398B (en) | 2016-09-05 | 2016-09-05 | A kind of diagnostic method and device of automobile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106248398B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108053515A (en) * | 2017-11-30 | 2018-05-18 | 北京新能源汽车股份有限公司 | The data capture method and device of a kind of electric vehicle |
| CN109724812A (en) * | 2018-12-29 | 2019-05-07 | 彩虹无线（北京）新技术有限公司 | Method, apparatus, storage medium and the terminal device of vehicle trouble early warning |
| CN111983992A (en) * | 2019-05-24 | 2020-11-24 | 江铃汽车股份有限公司 | Automobile fault remote diagnosis method, device and system |
| CN113771631A (en) * | 2021-09-28 | 2021-12-10 | 南京禄协信息科技有限公司 | Electric drive fault diagnosis system based on artificial intelligence algorithm |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10227992A1 (en) * | 2002-06-22 | 2004-01-08 | Robert Bosch Gmbh | Method and device for diagnosing components of a vehicle |
| CN1787028A (en) * | 2005-09-09 | 2006-06-14 | 中国科学院自动化研究所 | Car fault auto-detecting system and method |
| CN101699246A (en) * | 2009-09-22 | 2010-04-28 | 中国铁道科学研究院机车车辆研究所 | Method and device for testing whole-vehicle reliability of electric motor train units |
| CN201681306U (en) * | 2010-05-25 | 2010-12-22 | 金龙联合汽车工业（苏州）有限公司 | Vehicle fault diagnosis and remote alarm system |
| CN103777626A (en) * | 2014-01-22 | 2014-05-07 | 广东亿纬赛恩斯新能源系统有限公司 | Diagnostic method and system for whole vehicle faults of electric vehicle |
-
2016
- 2016-09-05 CN CN201610801753.1A patent/CN106248398B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10227992A1 (en) * | 2002-06-22 | 2004-01-08 | Robert Bosch Gmbh | Method and device for diagnosing components of a vehicle |
| CN1787028A (en) * | 2005-09-09 | 2006-06-14 | 中国科学院自动化研究所 | Car fault auto-detecting system and method |
| CN101699246A (en) * | 2009-09-22 | 2010-04-28 | 中国铁道科学研究院机车车辆研究所 | Method and device for testing whole-vehicle reliability of electric motor train units |
| CN201681306U (en) * | 2010-05-25 | 2010-12-22 | 金龙联合汽车工业（苏州）有限公司 | Vehicle fault diagnosis and remote alarm system |
| CN103777626A (en) * | 2014-01-22 | 2014-05-07 | 广东亿纬赛恩斯新能源系统有限公司 | Diagnostic method and system for whole vehicle faults of electric vehicle |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108053515A (en) * | 2017-11-30 | 2018-05-18 | 北京新能源汽车股份有限公司 | The data capture method and device of a kind of electric vehicle |
| CN109724812A (en) * | 2018-12-29 | 2019-05-07 | 彩虹无线（北京）新技术有限公司 | Method, apparatus, storage medium and the terminal device of vehicle trouble early warning |
| CN109724812B (en) * | 2018-12-29 | 2022-02-01 | 彩虹无线（北京）新技术有限公司 | Vehicle fault early warning method and device, storage medium and terminal equipment |
| CN111983992A (en) * | 2019-05-24 | 2020-11-24 | 江铃汽车股份有限公司 | Automobile fault remote diagnosis method, device and system |
| CN111983992B (en) * | 2019-05-24 | 2022-02-01 | 江铃汽车股份有限公司 | Automobile fault remote diagnosis method, device and system |
| CN113771631A (en) * | 2021-09-28 | 2021-12-10 | 南京禄协信息科技有限公司 | Electric drive fault diagnosis system based on artificial intelligence algorithm |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106248398B (en) | 2018-11-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104931889B (en) | For determining the system and method for battery system performance degradation | |
| CN106248398A (en) | The diagnostic method of a kind of automobile and device | |
| CN109724812B (en) | Vehicle fault early warning method and device, storage medium and terminal equipment | |
| CN101566850A (en) | Diagnostic data mining for vehicles | |
| EP3610277B1 (en) | System and method for determining a status of a vehicle battery | |
| WO2014079616A1 (en) | Device for testing and maintaining a high voltage battery and uses thereof | |
| CN112101597A (en) | Electric vehicle leasing operation platform vehicle fault pre-judging system, method and device | |
| US20160217628A1 (en) | Method and apparatus for on-board/off-board fault detection | |
| CN109754595A (en) | Appraisal procedure, device and the interface equipment of vehicle risk | |
| CN112025703B (en) | Robot self-diagnosis method, device and system | |
| DE102015116102A1 (en) | Circuit and method for detecting the battery cell discharge | |
| DE102013010311A1 (en) | Method for determining the state of individual battery cells of a high-voltage battery and system therefor | |
| CN208588938U (en) | Pure electric vehicle diagnoses debugging system | |
| CN113547919A (en) | Remote fault monitoring method and system for fuel cell vehicle | |
| CN106864282A (en) | Vehicular intelligent charging system and its application | |
| CN108536122A (en) | Hybrid vehicle diagnostic system and method | |
| CN203798989U (en) | SOC detection device for power battery pack of electromobile | |
| Wang et al. | Research on interactive multi‐model fault diagnosis method of Li‐ion battery based on noise suppression | |
| DE102014207532A1 (en) | Crowd sourcing for the verification of charging stations | |
| CN106202542A (en) | A kind of method and device generating Vehicular battery fault job order | |
| US11460512B2 (en) | Battery module testing | |
| EP3912852A1 (en) | Method and system for testing a state of a battery in a vehicle | |
| US20240003981A1 (en) | Method for estimating a power or current limit for an electrical energy storage system | |
| KR20220121932A (en) | System for monitoring battery of vehicle | |
| CN114631032A (en) | Method and system for monitoring health of battery pack |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |