CN112363483A - Speed changer virtual calibration model modeling method - Google Patents
Speed changer virtual calibration model modeling method Download PDFInfo
- Publication number
- CN112363483A CN112363483A CN202011205768.4A CN202011205768A CN112363483A CN 112363483 A CN112363483 A CN 112363483A CN 202011205768 A CN202011205768 A CN 202011205768A CN 112363483 A CN112363483 A CN 112363483A
- Authority
- CN
- China
- Prior art keywords
- model
- module
- transmission
- hydraulic
- submodel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
Abstract
The invention relates to the technical field of transmission calibration, and discloses a transmission virtual calibration model modeling method, which comprises the following steps: building submodels of each functional model of the transmission; integrating the functional models according to the structure of the transmission; building a control module sub-model and generating an M file; the calibration model joint integration comprises the following steps: inserting interface modules into the sub-models and the integrated model, and generating S-function files; inserting an S-function module into the control module submodel, and enabling the S-function module to be connected with the S-function file; and operating the M file and the control module submodel to complete the establishment of the calibration model. The calibration of the automatic transmission can be completed according to the calibration model, the transmission control algorithm and the transmission performance can be verified at the initial design stage, and the research and development period and the cost of the transmission can be reduced.
Description
Technical Field
The invention relates to the technical field of transmission calibration, in particular to a transmission virtual calibration model modeling method.
Background
The control core of the transmission lies in a control algorithm, the algorithm comprises a large number of calibration parameters, and the calibration parameters need to be calibrated according to the characteristics of the transmission. At present, parameter calibration of a transmission control algorithm is mainly completed on a rack and a whole vehicle, and the parameter calibration can be performed only after a transmission prototype is subjected to trial production. The calibration mode has long period and high cost.
Therefore, a method for modeling a virtual calibration model of a transmission is needed to solve the above technical problems.
Disclosure of Invention
The invention aims to provide a method for modeling a virtual calibration model of a transmission, which can finish the calibration of the automatic transmission according to the calibration model, can verify the control algorithm of the transmission and the performance of the transmission at the initial stage of design and can reduce the research and development period and the cost of the transmission.
In order to achieve the purpose, the invention adopts the following technical scheme:
the method for modeling the virtual calibration model of the transmission comprises the following steps:
s1, building submodels of each functional model of the transmission: building a hydraulic module submodel, a synchronizer module submodel, an axle gear module submodel and a clutch module submodel;
s2, integrating the functional models according to the structure of the transmission: connecting the built hydraulic module submodel, synchronizer module submodel, shaft tooth module submodel and clutch module submodel according to the transmission structure;
s3, building a control module sub-model and generating an M file;
s4, jointly integrating the calibration models, comprising the following steps:
s41, inserting each sub-model in the step S1 and the integrated model in the step S2 into an interface module, and generating an S-function file;
s42, inserting an S-function module into the control module submodel, and enabling the S-function module to be connected with the S-function file;
and S43, operating the M file, and operating the control module submodel to complete the establishment of the calibration model.
As a preferred technical solution of the method for modeling the virtual calibration model of the transmission, the step of building the hydraulic module sub-model in the step S1 includes the following steps:
s111, building a hydraulic basic element according to a hydraulic principle;
s112, establishing a hydraulic oil model, a throttling hole model, an electromagnetic valve model, a hydraulic valve model, an energy accumulator model, a filter model and an execution oil cylinder model;
s113, adding a pressure sensor in the oil cylinder;
and S14, adding a signal input/output port and a mechanical input/output port, connecting a sensor signal output end to the signal output port, connecting a current control signal to the signal input port, connecting a hydraulic cylinder execution output end to the mechanical input/output port, and packaging the hydraulic module submodel into a super element.
As a preferred technical solution of the method for modeling the virtual calibration model of the transmission, in step S112, a hydraulic oil attribute module of the AMESim hydraulic reservoir is used, and a throttle model is established by using the hydraulic oil attribute module of the AMESim hydraulic reservoir.
As a preferred technical solution of the method for modeling the virtual calibration model of the transmission, in step S112, an appropriate accumulator model is selected according to the type of the accumulator by using an AMESim hydraulic element model; selecting an appropriate filter model based on filter type using the AMESim hydraulic element model.
As a preferred technical solution of the method for modeling the virtual calibration model of the transmission, the step of building a sub-model of the synchronizer module in the step S1 includes the following steps:
s121, selecting a synchronizer type from synchronizer submodules in an AMESim power assembly library, and inputting combined tooth shape coordinate point information according to synchronizer design parameters;
s122, selecting a quality module in the AMESim machinery library, connecting the combining gear sleeve end of the synchronizer, measuring the quality of the combining gear sleeve of the synchronizer, and inputting the measurement result into the quality module;
and S123, adding a signal input/output port, mechanically connecting the signal input/output port and packaging the synchronizer module submodel into a super element.
As a preferred technical solution of the method for modeling the virtual calibration model of the transmission, the step of building the sub-model of the axle gear module in the step S1 includes the following steps:
s131, arranging gear module positions one by one under an AMESim model building interface by using gear modules in an AMESim power assembly library according to a topological relation of gears of a transmission;
s132, setting the number of teeth in the gear module according to the number of the teeth;
s133, adding a rotary inertia module into the sub-model of the shaft tooth module, calculating the shaft tooth inertia to obtain shaft tooth inertia parameters, and inputting the parameters into the rotary inertia module;
and S134, adding a signal input/output port and mechanically connecting the signal input/output port, and packaging the sub-model of the shaft tooth module into a super element.
As a preferred technical solution of the method for modeling the virtual calibration model of the transmission, the step of building a clutch module sub-model in step S1 includes the following steps:
s141, inputting a friction coefficient and a friction radius according to design parameters of a clutch by using a clutch module in an AMESim power transmission library;
s142, inputting the rigidity and the pretightening force of a spring by using a spring module of an AMESim mechanical library according to the design parameters of the clutch, and establishing a clutch return spring model;
s143, a damping module in the AMESim machinery library is used, a damping coefficient is input according to design, and damping generated in the process of pushing a clutch friction plate is simulated;
s144, adding a rotational inertia module, calculating rotational inertia of a driving end and rotational inertia of a driven end of the clutch, and inputting parameters into the rotational inertia module;
s145, adding a position sensor to measure shifting fork displacement;
and S146, adding a signal input/output port and mechanically connecting the signal input/output port, and packaging the clutch module submodel into a super element.
As an optimal technical scheme of the transmission virtual calibration model modeling method, in step S2, each sub-model connection relationship is that a clutch driven end is connected with an input end of a shaft tooth, a synchronizer power input end is connected with a gear power output end, a synchronizer power output end is connected with a gear power input end, a hydraulic shifting cylinder power output end is connected with a synchronizer coupling sleeve, and a hydraulic clutch cylinder output end is connected with a clutch model power input end.
As a preferred technical solution of the method for modeling the virtual calibration model of the transmission, in step S3, input/output interface signals of the sub-model of the control module are defined by using an AMESim interface icon, the input interface signals are an oil pressure signal, a transmission input/output rotation speed signal, an oil temperature signal and a shift fork position signal, and the output signals are a solenoid valve current control signal and a hydraulic pump rotation speed control signal.
As a preferred technical solution of the method for modeling the virtual calibration model of the transmission, in step S41, input and output signals of the AMESim model are defined in the interface module, where the input signals are solenoid valve control current and electric pump rotation speed signals, and the output signals are clutch pressure, shift fork position and shaft tooth rotation speed signals.
The invention has the beneficial effects that:
the virtual calibration model can be built by using the speed changer virtual calibration model modeling method, the calibration of the automatic speed changer can be completed according to the calibration model, the speed changer control algorithm and the speed changer performance can be verified at the initial stage of design, the speed changer control algorithm and the speed changer performance verification can be completed without the preparation of a real object prototype and a rack, and the research and development period and the cost of the speed changer can be reduced.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. The following examples are illustrative only and are not to be construed as limiting the invention.
Example one
The embodiment discloses a method for modeling a virtual calibration model of a transmission, which comprises the following steps:
s1, building submodels of each functional model of the transmission: building a hydraulic module submodel, a synchronizer module submodel, an axle gear module submodel and a clutch module submodel;
s2, integrating the functional models according to the structure of the transmission: connecting the built hydraulic module submodel, synchronizer module submodel, shaft tooth module submodel and clutch module submodel according to the transmission structure;
s3, building a control module sub-model and generating an M file;
s4, jointly integrating the calibration models, comprising the following steps:
s41, inserting each sub-model in the step S1 and the integrated model in the step S2 into an interface module, and generating an S-function file;
s42, inserting an S-function module into the control module submodel, and connecting the S-function module with an S-function file;
and S43, operating the M file and the control module submodel to complete the establishment of the calibration model.
By using the method, a virtual calibration model can be built, the calibration of the automatic transmission can be completed according to the calibration model, the transmission control algorithm and the transmission performance can be verified at the initial stage of design, the transmission control algorithm and the transmission performance can be completed without preparation of a real object prototype and a rack, and the research and development period and the cost of the transmission can be reduced.
Example two
The embodiment discloses a method for modeling a virtual calibration model of a transmission, which comprises the following steps:
s1, building submodels of each function model of the transmission, comprising the following steps:
s11, building a hydraulic module sub-model;
s12, building a synchronizer module sub-model;
s13, building a sub-model of the shaft tooth module;
and S14, building a clutch module sub-model.
Specifically, the hydraulic module submodel is built in the step S11, and the method includes the following steps:
s111, building a hydraulic basic element according to a hydraulic principle, specifically, building the hydraulic basic element by using AMESim software according to the hydraulic principle, wherein the hydraulic basic element comprises modeling of elements such as hydraulic oil, a throttling hole, an oil tank, an oil pump, an electromagnetic valve, a hydraulic valve, a filter, an energy accumulator, an execution oil cylinder and an actuator piston.
And S112, establishing a hydraulic oil model, a throttling hole model, an electromagnetic valve model, a hydraulic valve model, an energy accumulator model, a filter model and an execution oil cylinder (actuator piston) model.
The method comprises the steps of establishing a model comprising a relation table of oil viscosity and temperature and a relation table of elastic modulus, density and temperature of oil by using a hydraulic oil attribute module of an AMESim hydraulic library.
The method comprises the following steps of establishing a throttling hole model by using a hydraulic oil attribute module of an AMESim hydraulic library, specifically, establishing the throttling hole model by using the hydraulic oil attribute module of the AMESim hydraulic library, wherein the general formula of the throttling hole model is as follows:
where Q is the flow through the orifice, CdThe flow coefficient, A, the orifice area, Δ p, the pressure difference across the orifice, and ρ, the liquid density.
Establishing an electromagnetic valve model: library was designed using AMESim hydraulic components: selecting an electromagnetic force sub-element, and creating an electromagnetic force and electromagnetic coil current MAP table according to the relationship between the electromagnetic force of the electromagnetic valve and the current of the electromagnetic coil; selecting a matching sub-component of a valve core and a valve sleeve of a hydraulic component, and inputting the position overlapping relation between the valve core shoulder of the electromagnetic valve and a valve sleeve hole; selecting a spring piston element and creating a spring model; the above elements are connected according to the solenoid valve structure.
Establishing a hydraulic valve model: library was designed using AMESim hydraulic components: selecting a matching sub-component of the valve core and the valve sleeve of the hydraulic component, and inputting the position overlapping relation of the valve core and the valve sleeve of the hydraulic component; selecting a spring piston element and creating a spring model; the elements are connected according to a hydraulic valve structure.
Establishing an energy accumulator model: and selecting a proper accumulator model according to the type of the accumulator by using the AMESim hydraulic element model.
Establishing a filter model: an appropriate filter model is selected based on the filter type using the AMESim hydraulic element model.
S113, adding a pressure sensor in the oil cylinder;
and S14, adding a signal input/output port and a mechanical input/output port, connecting a sensor signal output end to the signal output port, connecting a current control signal to the signal input port, connecting a hydraulic cylinder execution output end to the mechanical input/output port, and packaging the hydraulic module submodel into a super element.
And step S12, constructing a synchronizer module submodel, which comprises the following steps:
s121, selecting a synchronizer type from synchronizer submodules in an AMESim power assembly library, and inputting combined tooth shape coordinate point information according to synchronizer design parameters;
s122, selecting a quality module in the AMESim machinery library, connecting the combining gear sleeve end of the synchronizer, measuring the quality of the combining gear sleeve of the synchronizer, and inputting the measurement result into the quality module;
and S123, adding a signal input/output port, mechanically connecting the signal input/output port and packaging the synchronizer module submodel into a super element.
And step S13, constructing an axle and tooth module submodel, comprising the following steps:
s131, arranging gear module positions one by one under an AMESim model building interface by using gear modules in an AMESim power assembly library according to a topological relation of gears of a transmission;
s132, setting the number of teeth in the gear module according to the number of the teeth;
s133, adding a rotary inertia module into the sub-model of the shaft tooth module, calculating the shaft tooth inertia to obtain shaft tooth inertia parameters, and inputting the parameters into the rotary inertia module;
and S134, adding a signal input/output port and mechanically connecting the signal input/output port, and packaging the sub-model of the shaft tooth module into a super element.
And step S14, constructing a clutch module submodel, which comprises the following steps:
s141, inputting a friction coefficient and a friction radius according to design parameters of a clutch by using a clutch module in an AMESim power transmission library;
s142, inputting the rigidity and the pretightening force of a spring by using a spring module of an AMESim mechanical library according to the design parameters of the clutch, and establishing a clutch return spring model;
s143, a damping module in the AMESim machinery library is used, a damping coefficient is input according to design, and damping generated in the process of pushing a clutch friction plate is simulated;
s144, adding a rotational inertia module, calculating rotational inertia of a driving end and rotational inertia of a driven end of the clutch, and inputting parameters into the rotational inertia module;
s145, adding a position sensor to measure shifting fork displacement;
and S146, adding a signal input/output port and mechanically connecting the signal input/output port, and packaging the clutch module submodel into a super element.
S2, integrating the functional models according to the structure of the transmission: and connecting the built hydraulic module submodel, synchronizer module submodel, shaft gear module submodel and clutch module submodel in the AMESim according to the transmission structure. The connection relationship of each sub-model is that the driven end of the clutch is connected with the input end of the shaft tooth, the power input end of the synchronizer is connected with the power output end of the gear, the power output end of the synchronizer is connected with the power input end of the gear, the power output end of the hydraulic gear shifting oil cylinder is connected with the combination sleeve of the synchronizer, and the output end of the hydraulic clutch oil cylinder is connected with the power input end of the clutch model.
S3, building a control module sub-model and generating an M file; specifically, a control model is built by using Simulink software, AMESim interface icons are used in the Simulink model, input/output interface signals of the control model are defined, generally, the input interface signals are oil pressure signals, transmission input/output rotating speed signals, oil temperature signals and shifting fork position signals, and the output signals are electromagnetic valve current control signals, hydraulic pump rotating speed control signals and the like. Writing the quantity to be calibrated in the control module submodel into an M file, and defining the name and the value of the calibrated quantity in the M file.
S4, jointly integrating the calibration models, and comprising the following steps:
s41, inserting each submodel in the step S1 and the integrated model in the step S2 into an interface module, and generating an S-function file; specifically, each submodel in step S1 and the integration model in step S2 are inserted into an interface module, and input and output signals of the AMESim model are defined in the interface module. The input signals are electromagnetic valve control current and electric pump rotating speed signals, and the output signals are clutch pressure, shifting fork position, shaft tooth rotating speed signals and the like. And compiling the AMESim model to generate an S-function file.
S42, inserting an S-function module into the control module submodel, and connecting the S-function module with an S-function file;
and S43, operating the M file in Simulink software, and operating a control module sub-model to complete the construction of the calibration model.
By using the method, a virtual calibration model can be built, the calibration of the automatic transmission can be completed according to the calibration model, the transmission control algorithm and the transmission performance can be verified at the initial stage of design, the verification of the transmission control algorithm and the transmission performance can be completed without preparation of a real object prototype and a rack, and the research and development period and the cost of the transmission can be reduced.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A method for modeling a virtual calibration model of a transmission is characterized by comprising the following steps:
s1, building submodels of each functional model of the transmission: building a hydraulic module submodel, a synchronizer module submodel, an axle gear module submodel and a clutch module submodel;
s2, integrating the functional models according to the structure of the transmission: connecting the built hydraulic module submodel, synchronizer module submodel, shaft tooth module submodel and clutch module submodel according to the transmission structure;
s3, building a control module sub-model and generating an M file;
s4, jointly integrating the calibration models, comprising the following steps:
s41, inserting each sub-model in the step S1 and the integrated model in the step S2 into an interface module, and generating an S-function file;
s42, inserting an S-function module into the control module submodel, and enabling the S-function module to be connected with the S-function file;
and S43, operating the M file, and operating the control module submodel to complete the establishment of the calibration model.
2. The method for modeling the virtual calibration model of the transmission according to claim 1, wherein building the hydraulic module sub-model in step S1 comprises the steps of:
s111, building a hydraulic basic element according to a hydraulic principle;
s112, establishing a hydraulic oil model, a throttling hole model, an electromagnetic valve model, a hydraulic valve model, an energy accumulator model, a filter model and an execution oil cylinder model;
s113, adding a pressure sensor in the oil cylinder;
and S14, adding a signal input/output port and a mechanical input/output port, connecting a sensor signal output end to the signal output port, connecting a current control signal to the signal input port, connecting a hydraulic cylinder execution output end to the mechanical input/output port, and packaging the hydraulic module submodel into a super element.
3. The method for modeling a virtual calibration model of a transmission according to claim 2, wherein in step S112, a hydraulic oil property module of the AMESim hydraulic reservoir is used to establish the orifice model.
4. The method for modeling a virtual calibration model of a transmission according to claim 3, wherein in step S112, an appropriate accumulator model is selected according to the accumulator type using AMESim hydraulic element model; selecting an appropriate filter model based on filter type using the AMESim hydraulic element model.
5. The method for modeling the virtual calibration model of the transmission according to claim 1, wherein the building of the sub-model of the synchronizer module in the step S1 comprises the following steps:
s121, selecting a synchronizer type from synchronizer submodules in an AMESim power assembly library, and inputting combined tooth shape coordinate point information according to synchronizer design parameters;
s122, selecting a quality module in the AMESim machinery library, connecting the combining gear sleeve end of the synchronizer, measuring the quality of the combining gear sleeve of the synchronizer, and inputting the measurement result into the quality module;
and S123, adding a signal input/output port, mechanically connecting the signal input/output port and packaging the synchronizer module submodel into a super element.
6. The method for modeling the virtual calibration model of the transmission as claimed in claim 5, wherein the step of building the sub-model of the axle-tooth module in step S1 comprises the steps of:
s131, arranging gear module positions one by one under an AMESim model building interface by using gear modules in an AMESim power assembly library according to a topological relation of gears of a transmission;
s132, setting the number of teeth in the gear module according to the number of the teeth;
s133, adding a rotary inertia module into the sub-model of the shaft tooth module, calculating the shaft tooth inertia to obtain shaft tooth inertia parameters, and inputting the parameters into the rotary inertia module;
and S134, adding a signal input/output port and mechanically connecting the signal input/output port, and packaging the sub-model of the shaft tooth module into a super element.
7. The method for modeling the virtual calibration model of the transmission according to claim 6, wherein the building of the clutch module submodel in step S1 includes the steps of:
s141, inputting a friction coefficient and a friction radius according to design parameters of a clutch by using a clutch module in an AMESim power transmission library;
s142, inputting the rigidity and the pretightening force of a spring by using a spring module of an AMESim mechanical library according to the design parameters of the clutch, and establishing a clutch return spring model;
s143, a damping module in the AMESim machinery library is used, a damping coefficient is input according to design, and damping generated in the process of pushing a clutch friction plate is simulated;
s144, adding a rotational inertia module, calculating rotational inertia of a driving end and rotational inertia of a driven end of the clutch, and inputting parameters into the rotational inertia module;
s145, adding a position sensor to measure shifting fork displacement;
and S146, adding a signal input/output port and mechanically connecting the signal input/output port, and packaging the clutch module submodel into a super element.
8. The method for modeling a virtual calibration model of a transmission according to claim 7, wherein in step S2, each sub-model connection relationship is that a clutch driven end is connected to an input end of a shaft tooth, a synchronizer power input end is connected to a gear power output end, a synchronizer power output end is connected to a gear power input end, a hydraulic shift cylinder power output end is connected to a synchronizer sleeve, and a hydraulic clutch cylinder output end is connected to a clutch model power input end.
9. The method for modeling a virtual calibration model of a transmission according to claim 8, wherein in step S3, input/output interface signals of the sub-models of the control module are defined by using AMESim interface icons, the input interface signals are an oil pressure signal, a transmission input/output speed signal, an oil temperature signal and a shift fork position signal, and the output signals are a solenoid valve current control signal and a hydraulic pump speed control signal.
10. The method for modeling a virtual calibration model of a transmission according to claim 9, wherein in step S41, input and output signals of the AMESim model are defined in the interface module, wherein the input signals are solenoid control current and electric pump speed signals, and the output signals are clutch pressure, shift fork position and shaft tooth speed signals.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011205768.4A CN112363483A (en) | 2020-11-02 | 2020-11-02 | Speed changer virtual calibration model modeling method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011205768.4A CN112363483A (en) | 2020-11-02 | 2020-11-02 | Speed changer virtual calibration model modeling method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112363483A true CN112363483A (en) | 2021-02-12 |
Family
ID=74513374
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011205768.4A Pending CN112363483A (en) | 2020-11-02 | 2020-11-02 | Speed changer virtual calibration model modeling method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112363483A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114326439A (en) * | 2021-12-31 | 2022-04-12 | 中国第一汽车股份有限公司 | Automatic transmission virtual calibration model real-time and virtual calibration method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106874629A (en) * | 2017-03-27 | 2017-06-20 | 徐工集团工程机械股份有限公司 | A kind of auto leveling system of paver emulation modelling method |
| CN108087539A (en) * | 2017-12-01 | 2018-05-29 | 南京越博动力系统股份有限公司 | A kind of transmission model calibration system and its calibration method based on hardware-in-loop simulation |
| CN108319752A (en) * | 2017-12-25 | 2018-07-24 | 博格华纳汽车零部件(宁波)有限公司 | The physical simulation test method of wet-type dual-clutch and hydraulic control system |
| CN110007598A (en) * | 2019-04-09 | 2019-07-12 | 吉林大学 | A kind of pre- scaling method of automatic transmission control parameter based on agent model |
| CN110633527A (en) * | 2019-09-18 | 2019-12-31 | 无锡明恒混合动力技术有限公司 | Simulation platform for hydraulic gear shifting system of diesel E-CVT hybrid power transmission |
| CN110987476A (en) * | 2019-12-26 | 2020-04-10 | 里卡多科技咨询(上海)有限公司 | Virtual calibration test method and system suitable for automobile power assembly calibration test |
-
2020
- 2020-11-02 CN CN202011205768.4A patent/CN112363483A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106874629A (en) * | 2017-03-27 | 2017-06-20 | 徐工集团工程机械股份有限公司 | A kind of auto leveling system of paver emulation modelling method |
| CN108087539A (en) * | 2017-12-01 | 2018-05-29 | 南京越博动力系统股份有限公司 | A kind of transmission model calibration system and its calibration method based on hardware-in-loop simulation |
| CN108319752A (en) * | 2017-12-25 | 2018-07-24 | 博格华纳汽车零部件(宁波)有限公司 | The physical simulation test method of wet-type dual-clutch and hydraulic control system |
| CN110007598A (en) * | 2019-04-09 | 2019-07-12 | 吉林大学 | A kind of pre- scaling method of automatic transmission control parameter based on agent model |
| CN110633527A (en) * | 2019-09-18 | 2019-12-31 | 无锡明恒混合动力技术有限公司 | Simulation platform for hydraulic gear shifting system of diesel E-CVT hybrid power transmission |
| CN110987476A (en) * | 2019-12-26 | 2020-04-10 | 里卡多科技咨询(上海)有限公司 | Virtual calibration test method and system suitable for automobile power assembly calibration test |
Non-Patent Citations (3)
| Title |
|---|
| 于志强等: "基于AMESim软件的整车能量管理平台搭建方法研究", 《汽车技术》 * |
| 邹乃威等: "AMESim仿真技术在汽车性能仿真的研究", 《机械工程师》 * |
| 陈强等: "基于AMESim的双离合器变速器建模及其在Simulink中的仿真", 《汽车技术》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114326439A (en) * | 2021-12-31 | 2022-04-12 | 中国第一汽车股份有限公司 | Automatic transmission virtual calibration model real-time and virtual calibration method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102520711B (en) | Hardware-in-the-loop simulation system of automatic mechanical transmission (AMT) controller and automatic test method thereof | |
| CN102261402B (en) | Method for actuating friction clutch | |
| EP1232422A2 (en) | Simulation model creation method and system, and storage medium | |
| Vasiliu et al. | Simulation of fluid power systems with Simcenter Amesim | |
| CN101487501B (en) | Semi-physical real-time hybrid simulation platform and simulation method for single-PC wet-type dual-clutch transmission | |
| CN112363483A (en) | Speed changer virtual calibration model modeling method | |
| Abel et al. | Functional mock-up interface in mechatronic gearshift simulation for commercial vehicles | |
| Sakairi et al. | Model based control system design using sysML, simulink, and computer algebra system | |
| CN113864289A (en) | Simulation platform of hydraulic system of hybrid electric vehicle and implementation method thereof | |
| Wang et al. | Shift quality of tractors fitted with hydrostatic power split CVT during starting | |
| Patil et al. | Hybrid vehicle model development using ASM-AMESim-Simscape co-simulation for real-time HIL applications | |
| CN102269975A (en) | Method for constructing simulation model of transmission system of automatic gearbox | |
| CN102521461B (en) | Simulation modeling method of electro-hydraulic servo valve based on Modelica language | |
| Jo et al. | A study on the improvement of the shift characteristics for the passenger car automatic transmission | |
| CN104238375B (en) | Real-time simulation system of six-gear double-clutch vehicle and building method of real-time simulation system | |
| CN103064404B (en) | Power matching controlling simulation testing system of automobile crane | |
| CN114528644A (en) | Modelica-based whole vehicle operation system model construction method | |
| Huang et al. | Multi-domain modelling and simulation of an automated manual transmission system based on Modelica | |
| Qu et al. | Steady flow force compensation and test research on electrohydraulic proportional relief valve | |
| CN108427319A (en) | A kind of Control System Design method of the vehicle-mounted gearshift magnetic valve based on model | |
| CN114545908B (en) | Method for constructing and simulating vehicle hydraulic system model and vehicle simulation system | |
| CN114326439A (en) | Automatic transmission virtual calibration model real-time and virtual calibration method | |
| CN110219902A (en) | Determine the method and device of clutch operating parameter | |
| Huang et al. | Modeling and simulation of an automated manual transmission system | |
| CN215861099U (en) | Simulation platform of hydraulic system of hybrid electric vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210212 |
|
| RJ01 | Rejection of invention patent application after publication |