CN110091858A - The self-learning method of engine on hybrid electric vehicle - Google Patents
The self-learning method of engine on hybrid electric vehicle Download PDFInfo
- Publication number
- CN110091858A CN110091858A CN201810091102.7A CN201810091102A CN110091858A CN 110091858 A CN110091858 A CN 110091858A CN 201810091102 A CN201810091102 A CN 201810091102A CN 110091858 A CN110091858 A CN 110091858A
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- self
- engine
- study
- self study
- learning method
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W20/00—Control systems specially adapted for hybrid vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W20/00—Control systems specially adapted for hybrid vehicles
- B60W20/50—Control strategies for responding to system failures, e.g. for fault diagnosis, failsafe operation or limp mode
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D29/00—Controlling engines, such controlling being peculiar to the devices driven thereby, the devices being other than parts or accessories essential to engine operation, e.g. controlling of engines by signals external thereto
- F02D29/02—Controlling engines, such controlling being peculiar to the devices driven thereby, the devices being other than parts or accessories essential to engine operation, e.g. controlling of engines by signals external thereto peculiar to engines driving vehicles; peculiar to engines driving variable pitch propellers
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- General Engineering & Computer Science (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
- Control Of Vehicle Engines Or Engines For Specific Uses (AREA)
- Hybrid Electric Vehicles (AREA)
Abstract
The present invention provides a kind of self-learning method of engine on hybrid electric vehicle comprising step 1, sends self study order to hybrid controller by diagnostic service agreement；Step 2, after hybrid controller receives self study order, the operating status of engine is controlled to make it into adaptive learning；Step 3, after meeting preset condition, that is, the self study of engine is completed.Self-learning method for the engine on hybrid electric vehicle of the invention is by that can may be implemented quick, simple and at low cost self study to the carry out self study of engine active.
Description
Technical field
The present invention relates to technical field of automotive electronics, the self study of especially a kind of engine on hybrid electric vehicle
Method.
Background technique
Current Automobile Electronic Industry is quickly grown, and environmental pollution is got worse.The country has many colleges and universities, main engine plants to throw
Substantial contribution is entered on hybrid power, plug-in hybrid and electric vehicle development project.Wherein, hybrid power and plug-in
Hybrid power has had many vehicles to enter volume production.
For HEV/PHEV vehicle, traditional EMS (Engine Management System, engine control system) is needed
Do the demand for being adapted to HEV/PHEV on a large amount of strategies.Wherein, the engine operating condition of HEV/PHEV is broken completely
The mode of traditional vehicle thus causes great trouble for the original self learning system of EMS system.Because being used in traditional vehicle
In self study operating condition without.
So-called self-learning function is exactly EMS a kind of intelligent to the automatic, lasting of some key characteristics of different vehicle
Property identification, and feed back in the control of the vehicle motor, to guarantee set performance parameter.
Therefore, self study of the EMS on HEV/PHEV vehicle is solved the problems, such as, also at it in the weight of entire project development
Weight.
Summary of the invention
The self-learning method for the engine that the object of the present invention is to provide a kind of on hybrid electric vehicle.
According to an aspect of the present invention, a kind of self-learning method of engine on hybrid electric vehicle is provided,
Include:
Step 1, self study order is sent to hybrid controller by diagnostic service agreement；
Step 2, after hybrid controller receives self study order, the operating status of engine is controlled to make it into certainly
Learning state；
Step 3, after meeting preset condition, that is, the self study of engine is completed.
Preferably, the self study be carried out when vehicle is offline, when vehicle after-sales service or when vehicle maintenance it is strong
The self study of system.
Preferably, the self study is the self study of engine friction torque, in step 2, hybrid controller control
The operating status of engine processed to make it into idling mode, by diagnostic service agreement read from the flag bit of condition for study come
Determine whether engine is included in self study, if flag bit is 1, determines to enter adaptive learning.
Preferably, in step 3, the idling operation of predetermined time, i.e. completion self study are maintained.
Preferably, the operating condition of the predetermined time is by timer come timing.
Preferably, the self study be engine fire diagnosis self study, in step 2, motor drag engine with
Fixed rotating speed rotation, engine not oil spout are not burnt, and in step 3, maintain the self study of the misfire diagnosis of predetermined time.
Preferably, the self study is the self study of engine fire diagnosis, and the self study is in vehicle operation
The pressure self study for needing to carry out.
Preferably, in step 1, if being not successfully completed self study of catching fire, hybrid controller receives hair
The signal that motivation cannot shut down.
Preferably, after completing the self study of misfire diagnosis, engine control system handle is sent to hybrid controller
Forbid stopping signal to reset so that hybrid controller can normally control engine shutdown.
Preferably, the hybrid power is fuel oil and electronic mixing.
Provided by the present invention for the engine on hybrid electric vehicle self-learning method by the self study of active, can be with
When needed, the self study to engine is independently selected by diagnostic equipment anywhere or anytime.
Detailed description of the invention
It is to provide further understanding of the invention including attached drawing, they are included and constitute part of this application,
Attached drawing shows the embodiment of the present invention, and plays the role of explaining the principle of the invention together with this specification.In attached drawing:
Fig. 1 is the flow chart of the self-learning method for the engine on hybrid electric vehicle of the invention.
Fig. 2 is the schematic diagram of vehicle testing result in the self study of the misfire diagnosis in the present invention.
Specific embodiment
The embodiment of the present invention is described with detailed reference to attached drawing now.
Shown in Figure 1, the present invention provides a kind of self-learning method of engine on hybrid electric vehicle, packet
It includes:
Step 1, pass through diagnostic service agreement active transmission self study order to hybrid controller；
Step 2, after hybrid controller receives self study order, the operating status of engine is controlled to make it into certainly
Learning state；
Step 3, after meeting preset condition, i.e. completion self study.
The self study is that the pressure carried out when vehicle is offline, when vehicle after-sales service or when vehicle maintenance is learnt by oneself
It practises.
In step 1, driver, auto repair personnel or other related personnel pass through the active of diagnostic service agreement
Self study order is sent to hybrid controller.
In step 2, after hybrid controller receives self study order, control the operating status of engine so that its into
Enter adaptive learning；
In step 3, after meeting preset condition, that is, the self study of engine is completed.The preset condition can be pair
The pre-set some conditions of engine.
Self study of the invention can be used for the self study of engine friction torque.
Engine friction torque self study is exactly the function that EMS detects the friction torque of different engines itself.Due to hair
The difference of motivation ontology and the part carried thereon itself, there are also the difference of assembly, the difference of lubricating fluid, the differences of aging etc.
Uncertainty causes the friction torque of every engine different.And same engine, according to the mill of engine itself
Damage and the aging for carrying components thereon can also show variation tendency, then EMS, which must have, detects this partial frictional difference in torque
Different and variation self-learning function, just can guarantee the accuracy of output torque.
The principle of engine friction torque self study are as follows: in idling operation, by being recognized in identification idling PID controller
The deviation of idling torque determines the friction torque of present engine, to be learnt.And also have into this self study
Many conditions, to guarantee the validity and stability of self study.For example, to carry out friction torque again after engine warm-up certainly
Therefore study, selects coolant liquid because at low temperatures, the friction torque of engine can be higher, and does not have representativeness
It is just safe enough that temperature in 80 degrees Celsius or more of operating condition carries out study.80 degree this numerical value is also intended to be started according to different
Machine carry out it is selected, can be higher, can also be lower, as long as water temperature continue increase, engine friction torque still becomes
In stabilization, so that it may choose this temperature spot.
On HEV/PHEV vehicle, once it is many times exactly not need engine output torque again into idling operation,
It is stop or to be operated alone by motor, HCU may require that engine misses, often to reduce vehicle at this time
Discharge and oil consumption.
Self-learning method for engine friction torque of the invention is exactly when vehicle is offline or vehicle is after sale
The self study of the engine friction torque of primary active is all carried out after maintenance or maintenance.The specific method is as follows:
EMS is allowed to enter idling mode by diagnostic service agreement, this service command can issue EMS, can also send out
HCU (Hybrid Control Unit, hybrid power control controller) is given, as long as in a word by engine stabilizer in idling operation
?.
Then the flag bit of condition for study or is read from by diagnostic service agreement.It is unsatisfactory for reading when condition for study
The data arrived are 0, and the data read when meeting condition for study are 1.
When seeing that self study condition flag bit becomes 1 from 0,1 minute current idling operation is maintained, that is, completes friction and turns round
The self study of square.Although the present invention is the time for maintaining 1 minute, those skilled in the art is readily appreciated that, the maintenance
Time may be to be redefined for other time, such as 2 minutes.
In this test, vehicle testing result is as follows:
The state of Service ID:FD23 friction torque self study
In this test, DID:FD23 is exactly the order for reading engine friction torque self study flag bit, is this time tested
Exactly grab the comparing result for meeting the twi-read before and after condition:
13:45:42, when reading for the first time, ECU feedback result is 00, illustrates not meet self study condition.
13:46:25, second when reading, and ECU feedback result is 01, illustrate to be met self study condition and start into
Row friction torque self study.
Preferably, in one program of diagnostic equipment interior design: first sending control engine idling order, engine is allowed to be in
Idling, then automatically call 0x22 service come identify the self study condition in second step by 0 change to 1 event, then open
One timer started to stop the order of engine idling after 1 minute automatically.Be thus this self study process it is more convenient and
Intelligence.
The present invention can also be used in engine fire diagnosis self study.
Misfire diagnosis is the diagnostic function that the EMS of laws and regulations requirement must have, it is intended that EMS can be allowed to recognize engine air
Abnormal combustion in cylinder, principle are the rate of change by monitoring crankshaft signal, the diagnosis that Lai Shixian catches fire.It works normally
The rotation speed change of engine is the physical characteristic for having one, i.e., the pace of change of revolving speed can within the scope of certain, then
The rate of change of crankshaft signal also should within the scope of one, when catch fire occur when, the rate of change of crankshaft signal will surpass
It goes beyond the scope.
EMS will accurately recognize normal crankshaft rate variation range, the process of this identification be exactly to catch fire from
Study.In traditional vehicle, EMS records and identifies the variation range of this rate in DECEL ENLEAN operating condition, during this, vehicle
Engine is turning in tow, but does not burn in engine cylinder.In HEV/PHEV vehicle, engine is with regard to few oil-breaks
Operating condition because HCU would generally cut off engine under this operating condition, and controls the recycling that motor carries out braking energy.
There are two types of its implementation, is all to force self study.
Method one: when vehicle is offline or vehicle carries out the engine fire of primary active after replacing new ECU after sale
Self study.Specific learning method:
Self study of catching fire is sent by diagnostic service to instruct to HCU.
HCU is rotated after receiving order with motor drag engine with fixed rotating speed, but engine not oil spout itself, non-ignitable
It burns.
EMS can complete the self study of misfire diagnosis using this operating condition in seconds.
Diagnostic equipment sends 0x22 instruction, reads EMS and catches fire adaptive learning.Self study of catching fire does not complete and then sends 0, catches fire
Self study completion then sends 1.
In the method, vehicle testing result is as follows:
Service ID:FD24 catches fire the state of self study
In this test, DID:FD24 is exactly the order for reading engine fire self study flag bit, and this time test is exactly
Grab the comparing result that the twi-read of front and back is completed in self study of catching fire:
13:53:19, when reading for the first time, ECU feedback result is 00, and the self study that illustrates to catch fire is not completed.
13:54:23, second when reading, and ECU feedback result is 01, and the self study that illustrates to catch fire has been completed.
Method two: pressure self study is carried out in vehicle operational process, that is to say, that if not completing misfire diagnosis
Self study does not allow engine to shut down.Method particularly includes:
If being not successfully completed self study of catching fire, EMS can send the letter for requiring engine to operate by CAN line
Number give HCU, inform HCU cannot stop engine.
HCU will not then allow engine to shut down after receiving this order.In this way, engine can have more chances to carry out
It catches fire self study.
After completing misfire diagnosis self study, EMS can forbid stopping signal to reset be sent to HCU.HCU can in this way
It is shut down with normally controlling engine.
In the method, vehicle testing result is see Fig. 2.At cursor 1, engine is remained operational, and does not allow to shut down.?
At cursor 2, self study of catching fire is completed, and engine can be shut down.
Those skilled in the art can be obvious, the above exemplary embodiments of the invention can be carry out various modifications and modification and
Without departing from the spirit and scope of the present invention.Accordingly, it is intended to which present invention covering is made to fall in the appended claims and its equivalence techniques
Modifications of the present invention and modification in aspects.
Claims (10)
1. a kind of self-learning method of the engine on hybrid electric vehicle comprising:
Step 1, self study order is sent to hybrid controller by diagnostic service agreement；
Step 2, after hybrid controller receives self study order, the operating status of engine is controlled to make it into self study
State；
Step 3, after meeting preset condition, that is, the self study of engine is completed.
2. self-learning method as described in claim 1, which is characterized in that the self study be when vehicle is offline, vehicle sells
The compulsory self study carried out when safeguarding afterwards or when vehicle maintenance.
3. self-learning method as described in claim 1, which is characterized in that the self study is the self-study of engine friction torque
It practises, in step 2, hybrid controller controls the operating status of engine to make it into idling mode, is taken by diagnosis
Business agreement read from the flag bit of condition for study to determine whether engine is included in self study, if flag bit be 1, determine into
Enter adaptive learning.
4. self-learning method as claimed in claim 3, which is characterized in that in step 3, maintain the idling work of predetermined time
Condition, i.e. completion self study.
5. self-learning method as claimed in claim 4, which is characterized in that the operating condition of the predetermined time be by timer come
Timing.
6. self-learning method as described in claim 1, which is characterized in that the self study is the self-study of engine fire diagnosis
It practises, in step 2, motor drag engine is rotated with fixed rotating speed, and engine not oil spout is not burnt, and in step 3, is maintained
The self study of the misfire diagnosis of predetermined time.
7. self-learning method as described in claim 1, which is characterized in that the self study is the self-study of engine fire diagnosis
It practises, the self study is the pressure self study for needing to carry out in vehicle operation.
8. self-learning method as claimed in claim 7, which is characterized in that in step 1, catch fire if be not successfully completed
Self study, then hybrid controller receives the signal that engine cannot shut down.
9. self-learning method as claimed in claim 8, which is characterized in that after completing the self study of misfire diagnosis, engine
Control system forbids stopping signal to reset be sent to hybrid controller, so that hybrid controller can be normal
Engine is controlled to shut down.
10. self-learning method as described in claim 1, which is characterized in that the hybrid power is fuel oil and electronic mixing.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810091102.7A CN110091858B (en) | 2018-01-30 | 2018-01-30 | Self-learning method for engine on hybrid vehicle |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810091102.7A CN110091858B (en) | 2018-01-30 | 2018-01-30 | Self-learning method for engine on hybrid vehicle |
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| CN110091858A true CN110091858A (en) | 2019-08-06 |
| CN110091858B CN110091858B (en) | 2021-01-29 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113460025A (en) * | 2021-07-22 | 2021-10-01 | 东风汽车集团股份有限公司 | Misfire diagnosis method under engine speed mode of hybrid electric vehicle and electronic equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1904337A (en) * | 2005-07-27 | 2007-01-31 | 丰田自动车株式会社 | Device for identifying an engine misfire in an internal combustion engine and hybrid vehicle equipped with the same device |
| US20110264317A1 (en) * | 2010-04-23 | 2011-10-27 | Gm Global Technology Operations, Inc. | Self-learning satellite navigation assisted hybrid vehicle controls system |
| CN103574004A (en) * | 2012-08-01 | 2014-02-12 | 上海通用汽车有限公司 | Self-learning adaptive control method and system for AMT system gear recognition references |
| CN103814202A (en) * | 2011-09-15 | 2014-05-21 | 通用电气公司 | Systems and methods for diagnosing engine |
| CN106043274A (en) * | 2015-04-09 | 2016-10-26 | 现代自动车株式会社 | Apparatus and method for learning engine friction torque of hybrid vehicle |
| CN106842906A (en) * | 2015-12-07 | 2017-06-13 | 北京汽车股份有限公司 | The offline learning device of vehicle and learning method of tire pressure monitoring system |
-
2018
- 2018-01-30 CN CN201810091102.7A patent/CN110091858B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1904337A (en) * | 2005-07-27 | 2007-01-31 | 丰田自动车株式会社 | Device for identifying an engine misfire in an internal combustion engine and hybrid vehicle equipped with the same device |
| US20110264317A1 (en) * | 2010-04-23 | 2011-10-27 | Gm Global Technology Operations, Inc. | Self-learning satellite navigation assisted hybrid vehicle controls system |
| CN103814202A (en) * | 2011-09-15 | 2014-05-21 | 通用电气公司 | Systems and methods for diagnosing engine |
| CN103574004A (en) * | 2012-08-01 | 2014-02-12 | 上海通用汽车有限公司 | Self-learning adaptive control method and system for AMT system gear recognition references |
| CN106043274A (en) * | 2015-04-09 | 2016-10-26 | 现代自动车株式会社 | Apparatus and method for learning engine friction torque of hybrid vehicle |
| CN106842906A (en) * | 2015-12-07 | 2017-06-13 | 北京汽车股份有限公司 | The offline learning device of vehicle and learning method of tire pressure monitoring system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113460025A (en) * | 2021-07-22 | 2021-10-01 | 东风汽车集团股份有限公司 | Misfire diagnosis method under engine speed mode of hybrid electric vehicle and electronic equipment |
| CN113460025B (en) * | 2021-07-22 | 2022-04-29 | 东风汽车集团股份有限公司 | Misfire diagnosis method under engine speed mode of hybrid electric vehicle and electronic equipment |
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| CN110091858B (en) | 2021-01-29 |
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Address after: 130033 No. 1981, Wuhan Road, Changchun Economic Development Zone, Jilin, China Applicant after: WeiPai automotive electronics (Changchun) Co., Ltd Address before: 130033 No. 1981, Wuhan Road, Changchun Economic Development Zone, Jilin, China Applicant before: Shibeite automotive electronics (Changchun) Co., Ltd. |
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