CN108345756A - A kind of method and device to the optimization design under existing automobile tail gate electricity strut system - Google Patents
A kind of method and device to the optimization design under existing automobile tail gate electricity strut system Download PDFInfo
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- CN108345756A CN108345756A CN201810185628.1A CN201810185628A CN108345756A CN 108345756 A CN108345756 A CN 108345756A CN 201810185628 A CN201810185628 A CN 201810185628A CN 108345756 A CN108345756 A CN 108345756A
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Abstract
Method and device provided by the invention to the optimization design under existing automobile tail gate electricity strut system is optimized using the ratio between door closing force when top dead centre and enabling power b values as variable.By selecting vehicle, strut parameter is inputted, the Multi-body model of electronic strut is established.The average door closing force of input requirements inputs the initial value and step-length △ b of b more than averagely enabling power a values, the spring maximum stress ratio of input requirements.Calculating is iterated to model, adjustment spring preload is to meet a values；Spring rate is adjusted to meet the requirement of b values.Obtain meeting the spring preload and spring rate under the conditions of a, b value.Checking computations spring simultaneously carries out corresponding judgement, and whether work maximum stress is than meeting less than desired spring stress ratio requirement, and whether spring minimum active length meets more than or equal to 1.1 times spring pressures and length requirement.The present invention can be quickly found out the maximum b values that can meet strut performance requirement under existing automobile tail gate electricity strut system.Obtain the best hovering performance of the strut system.
Description
Technical field
The present invention relates to a kind of automobile component design optimization methods, more particularly, to a kind of to automobile tail gate electricity strut system
Under optimization design method and device.
Background technology
With the popularization and application of automobile intelligent electronics, automobile power back door strut has been more and more widely used, in the past
Electric tail gate strut is applied on superior automobile, occurs the trend applied on low and middle-grade automobiles now.Electric tail gate strut is set
Meter is increasingly paid attention to by automobile industry.
Electric tail gate strut is a kind of space mechanism of electromechanical integration, its performance quality is influenced by factors, such as
Two end spaces installation point position of strut, tail-door hinge point position, tail-gate weight and centroid position, spring design position length,
Spring rate, spring preload, power of motor and deceleration system the factors such as magnetic hysteresis torque influence, be a complicated system work
Journey.
Spring preload and spring rate selection, are the key that the performance factors for influencing electronic strut.One of electronic strut
Essential Performance Requirements can hover in a manual mode in operation interval, and require to realize under longitudinal slope ± 20% and 5 kilograms of snow loads
Stop manually.This requires average door closing force will be slightly larger than averagely enabling power a values under flat slope, it is flat that a values be that average door closing force subtracts
The numerical value of enabling power, the generally desirable 0~30N of a values.In the ideal case, door closing force and enabling power are equal when and taking top dead centre.
But since each vehicle tail-gate height of center of mass and rotation shaft position are different, tail-gate gravitational moment in rotation, which changes, very difference greatly, right
The electric tail gate strut system of many vehicles, in the case where ensureing that average door closing force is slightly larger than averagely enabling power, it is difficult to meet
Door closing force and enabling power are equal when top dead centre.In the case where meeting average door closing force slightly larger than averagely enabling power a values, spring ginseng
It is maximum that number, which designs the ratio between door closing force and enabling power b values when making top dead centre as far as possible, and b values are shutdowns when spring is in top dead centre
The ratio of power and enabling power.To existing electric strut, strut hard spot cannot change, and spring line footpath and spring outer diameter are cannot to change
Become.Spring preload, spring rate and spring pitch can only be changed.Spring parameter optimization design, to meet the strut has most preferably
Hovering performance, ensure that spring stress percentage is not higher than required value, and ensures spring minimum active length again>=1.1 times
Spring pressure and length requirement.It is optimized using the ratio between door closing force when top dead centre and enabling power b values as variable.
The electric strut in country enterprise generally uses at present and state's dispatch from foreign news agency strut is to calibration method, and design produces electric strut, due to
The difference of tail-gate system condition, hovering performance it is often bad, often occur car door arrive when top dead centre hovering difficulty or longitudinal slope ±
20% and 5 kilograms of snow loads under the phenomenon that cannot hovering.
Do not see the content in terms of electric strut optimization design at home at present, does not find one kind to existing automobile tail gate
The method and apparatus of optimization design under electric strut system.
Invention content
The present invention provides a kind of method and devices to the optimization design under existing automobile tail gate electricity strut system, solve
The bad problem of the hovering performance of automobile tail gate electricity strut generally existing, it is described that its technical solution is as follows：
A method of to the optimization design under existing automobile tail gate electricity strut system, include the following steps：
(1) vehicle is selected, the parameter of the corresponding electronic strut of automobile tail gate is inputted, establishes the template model of electronic strut,
Parameter involved in the template model includes the location information of strut, door hinge dot position information, door position of centre of gravity information, closes
Doors location information, enabling dot position information, spring parameter, car door hard-over, tail-gate weight；Spring parameter includes spring wire
Diameter, spring outer diameter；
(2) the average door closing force of input requirements is more than average enabling power a values, the spring maximum stress ratio of input requirements, with
The ratio between door closing force and enabling power of the spring in top dead centre b values optimize for variable, and the top dead centre of input requirements is closed the door
The initial value of the ratio between power and enabling power b, and input step-length △ b；
(3) model is iterated calculating, adjusts spring preload first to meet a values, then adjusts spring rate to meet b
Value, and then obtain meeting the spring preload under the conditions of a, b value and spring rate；
(4) check spring, in conjunction with existing system fixed spring line footpath and spring outer diameter, by adjustment spring pitch come
Adjustment spring rigidity keeps the spring rate that the spring rate of adjusting and step (3) obtain identical, and calculate spring stress ratio and
Spring pressure and length；
(5) work maximum stress is judged than whether meeting spring maximum stress ratio less than input requirements, and spring is most
Whether small active length meets more than or equal to 1.1 times spring pressures and length；Success is such as judged, under the conditions of obtaining meeting a, b value
Feasible preferable spring preload and spring rate；Otherwise b=b+ △ b carry out next round analysis, unsuccessful until judging, or
Reach b=1, terminates analysis；
(6) spring parameter judged under successfully maximum b values, the spring ginseng of the optimization of the strut system as the vehicle are taken
Number, the spring parameter of the optimization includes spring preload, spring rate, spring pitch, obtains the strut system of the selected vehicle
Best hovering performance.
Further, in step (1), the template model for establishing electronic strut is the ADAMS kinematics analyses of electronic strut
The degree of freedom of template, template model is zero；The parameter is the electronic strut of tail-gate according to selection, and VB6.0 calls selected support
The EXEL of bar parameterizes table, and display parameters simultaneously read parameter；It is preserved after modification parameter, updates the parametrization table of selected strut.
Further, in step (4), the maximum, force that spring is born at work is obtained by model analysis, and calculate bullet
The maximum stress of spring；Its maximum stress allowed is determined according to spring material, thus obtains maximum stress ratio；It is pre- by spring
Length when load, spring rate and spring preload calculates spring free length；By spring pitch, total coil number of spring is calculated,
Know spring line footpath, thus obtains spring pressure and length.
Further, different a values are inputted, different spring Optimal Parameters can be obtained, a values are larger, are conducive to hover,
But manual door closing force increases.
To the device of the optimization design under existing automobile tail gate electricity strut system, including：
Acquisition module, the parameter of template model and generation automobile tail gate electricity strut for obtaining electronic strut, the ginseng
Number includes the location information of strut, door hinge dot position information, door position of centre of gravity information, shutdown dot position information, enabling point
Confidence breath, spring parameter, car door hard-over, tail-gate weight；Spring parameter includes spring line footpath, spring outer diameter；
Modified module for changing the template model of electronic strut according to the generation parameter, and generates new template mould
Type；
Analysis module is more than averagely enabling power a values, spring maximum stress for analyzing in the average door closing force met the requirements
Than in the case of, by determining the initial value of the ratio between top dead centre door closing force and enabling power b, and input step-length △ b, obtain meeting a, b
Spring preload under the conditions of value and spring rate；
Checking computations module is obtained according to adjustment spring pitch come adjustment spring rigidity in the spring rate and analysis module of adjusting
When the spring rate arrived is identical, checks spring preload and whether spring rate is feasible；
Optimization module, when checking computations module successfully cannot obtain result, replicate analysis module, checking computations module are final to obtain
The spring parameter under maximum b values by checking module.
Further, analysis module includes the first judgment module, for judging to meet the spring preload under the conditions of a, b value
With the data of spring rate.
Further, whether checking computations module includes the second judgment module, judge work maximum stress than meeting less than defeated
Enter the spring maximum stress ratio of requirement, and whether spring minimum active length meets more than or equal to 1.1 times springs and press and grow
Degree.
Further, optimization module includes third judgment module, judges the spring parameter under maximum b values.
Technical solution using the present invention is can be seen that, the electronic strut model of selection vehicle is established；Then pass through model
The spring preload and spring rate that iterative analysis obtains are satisfied by a values and the requirement of b values；By adjustment spring pitch come adjustment spring
Rigidity keeps it identical with the above-mentioned spring rate being calculated；Calculate the stress percentage of the spring when spring pressure and length；Sentence
It is disconnected whether to meet spring stress percentage and spring minimum active length>The requirement of=1.1 times of spring pressures and length.Meet, obtains
To the feasible preferable spring preload and spring rate met under the conditions of a, b value, b=b+ △ b carry out next round analysis.If not
Meet, terminates analysis.The feasible spring parameter (spring preload, the bullet that meet the requirements under the conditions of one group of difference b value are obtained as a result,
Spring rigidity, spring pitch).Take b values therein be maximum respective springs parameter as spring Optimal Parameters.It is quickly found out the vehicle
The best spring parameter of the electronic strut of type tail-gate.
Description of the drawings
Fig. 1 is the main stream of the method to the optimization design under existing automobile tail gate electricity strut system of the embodiment of the present invention
Cheng Tu；
Fig. 2 is the specific stream of the method to the optimization design under existing automobile tail gate electricity strut system of the embodiment of the present invention
Cheng Tu；
Fig. 3 is combination the showing to the device of the optimization design under existing automobile tail gate electricity strut system of the embodiment of the present invention
It is intended to.
Specific implementation mode
The embodiment of the present invention is described in detail below in conjunction with attached drawing, but the present invention can be defined by the claims
Implement with the multitude of different ways of covering.
Fig. 1 is the main stream of the method to the optimization design under existing automobile tail gate electricity strut system of the embodiment of the present invention
Cheng Tu, shown in Figure 1, the method to the optimization design under existing automobile tail gate electricity strut system includes：
Step 10：Select vehicle, input strut parameter, parameter include the location information of strut, door hinge dot position information,
Door position of centre of gravity information, shutdown dot position information, enabling dot position information, spring parameter, car door hard-over, tail-gate weight；
Spring parameter includes spring line footpath, spring outer diameter, establishes the Multi-body model of electronic strut, and the average door closing force of input requirements is more than
Averagely enabling power a values；The spring maximum stress ratio of input requirements；The ratio between the top dead centre door closing force of input requirements and enabling power b values
Initial value and step-length △ b.
Step 20：Model iterates to calculate：Spring preload is adjusted to meet a values；Spring rate is adjusted to meet wanting for b values
It asks.Obtain meeting the spring preload and spring rate under the conditions of a, b value.
Step 30：Check spring：It is identical with the calculating spring rigidity of bullet is stated come adjustment spring rigidity by adjustment spring pitch,
And calculate spring stress ratio and spring pressure and length.
Step 40：Judge：Whether meet spring stress ratio and be less than desired spring maximum stress ratio, while whether meeting bullet
Spring minimum active length>The requirement of=1.1 times of spring pressures and length.Such as judge success, obtains meeting feasible under the conditions of a, b value
Preferable spring preload and spring rate.Otherwise b=b+ △ b carry out next round analysis, unsuccessful until judging, or reach b=
1, terminate analysis.
Step 50：Take the spring for judging optimization of the spring parameter under successfully maximum b values as the vehicle strut system
Parameter (spring preload, spring rate, spring pitch) obtains the best hovering performance of the strut system of the vehicle.
Wherein, spring preload refers to the power that spring is subject under design length；Spring rate refers to spring unit deformation institute
The load needed；The stress ratio of spring refers to that the maximum stress of spring is answered using the maximum allowable maximum of stress ratio spring material
Power；Spring pressure and length refer to length when spring is pressed simultaneously.
Fig. 2 is the specific stream of the method to the optimization design under existing automobile tail gate electricity strut system of the embodiment of the present invention
Cheng Tu.Shown in Figure 2, the method to the optimization design under existing automobile tail gate electricity strut system specifically includes following reality
Applying method：
Vehicle is selected first, inputs strut parameter, parameter includes the location information of strut, door hinge dot position information, door
Position of centre of gravity information, shutdown dot position information, enabling dot position information, spring parameter, car door hard-over, tail-gate weight；Bullet
Spring parameter includes spring line footpath, spring outer diameter, establishes the Multi-body model of electronic strut, and the average door closing force of input requirements, which is more than, puts down
Enabling power a values；The spring maximum stress ratio of input requirements；The ratio between the top dead centre door closing force of input requirements and enabling power b's is first
Value and step-length △ b.
Then, model iterates to calculate：Model analysis calculates, and first coarse regulation spring preload is to meet a values；Coarse regulation spring is rigid
Degree is to meet the requirement in b values.Fine tuning adjusts spring preload to meet a values again；Fine control spring rate is wanted with meeting in b values
It asks.Obtain meeting the spring preload and spring rate under the conditions of a, b value.
Further, spring is checked：Make it come adjustment spring rigidity by adjustment spring pitch and above-mentioned is calculated
Spring rate is identical；Spring maximum, force at work is obtained by model analysis, and calculates the maximum stress of spring；According to spring
Material determines its maximum stress allowed, thus obtains maximum stress ratio；When by spring preload, spring rate and spring preload
Length calculates spring free length and calculates total coil number of spring by spring pitch, it is known that thus spring line footpath obtains spring
Press simultaneously length.
Still further, judging：Whether meet spring stress percentage and be less than desired spring maximum stress ratio, is simultaneously
It is no to meet spring minimum active length>The requirement of=1.1 times of spring pressures and length.Such as judge success, obtains meeting a, b value condition
Under feasible preferable spring preload and spring rate；B=b+ △ b carry out next round analysis, unsuccessful until judging, or reach
To b=1, terminate analysis.
Finally, terminate analysis, obtain feasible spring parameter (spring preload, spring rate, spring section under one group of difference b
Away from).It is spring parameter of the maximum respective springs parameter as the optimization as the vehicle strut system to take b values therein.
It is shown in Figure 3, to the device of the optimization design under existing automobile tail gate electricity strut system, including：
Acquisition module 101, the parameter of template model and generation automobile tail gate electricity strut for obtaining electronic strut are described
Parameter includes the location information of strut, door hinge dot position information, door position of centre of gravity information, shutdown dot position information, enabling point
Location information, spring parameter, car door hard-over, tail-gate weight；Spring parameter includes spring line footpath, spring outer diameter；
Modified module 102 for changing the template model of electronic strut according to the generation parameter, and generates new template
Model；
Analysis module 103 is more than averagely enabling power a values, spring maximum for analyzing in the average door closing force met the requirements
In the case of stress ratio, by determining the initial value of the ratio between top dead centre door closing force and enabling power b, and input step-length △ b, met
A, the spring preload and spring rate under the conditions of b values；
Further, analysis module includes the first judgment module, for judging to meet the spring preload under the conditions of a, b value
With the data of spring rate.
Module 104 is checked, according to adjustment spring pitch come adjustment spring rigidity, in the spring rate and analysis module of adjusting
When obtained spring rate is identical, checks spring preload and whether spring rate is feasible；
Further, whether checking computations module includes the second judgment module, judge work maximum stress than meeting less than defeated
Enter the spring maximum stress ratio of requirement, and whether spring minimum active length meets more than or equal to 1.1 times springs and press and grow
Degree.
Optimization module 105, when checking computations module successfully cannot obtain result, replicate analysis module, checking computations module finally obtain
The spring parameter learnt from else's experience under the maximum b values of checking computations module.
Further, optimization module includes third judgment module, judges the spring parameter under maximum b values.
Technical solution using the present invention is can be seen that, is carried out by variable of the ratio between top dead centre door closing force and enabling power b values
Optimization design, it is optimization bullet of the maximum respective springs parameter as the existing electric strut system of selected vehicle that can obtain b values
Spring parameter.
It the above is only embodiments of the present invention, it is noted that for those skilled in the art,
Without departing from the principles of the invention, it can also make several improvements and retouch, these improvements and modifications also should be regarded as this hair
Bright protection domain.
Claims (8)
1. a kind of method to the optimization design under existing automobile tail gate electricity strut system includes the following steps：
(1) vehicle is selected, the parameter of the corresponding electronic strut of automobile tail gate is inputted, establishes the template model of electronic strut, it is described
Parameter involved in template model includes the location information of strut, door hinge dot position information, door position of centre of gravity information, shutdown point
Location information, enabling dot position information, spring parameter, car door hard-over, tail-gate weight；Spring parameter include spring line footpath,
Spring outer diameter；
(2) the average door closing force of input requirements is more than averagely enabling power a values, the spring maximum stress ratio of input requirements, with spring
The ratio between door closing force and enabling power in top dead centre b values optimize for variable, the top dead centre door closing force of input requirements and
The initial value of the ratio between enabling power b, and input step-length △ b；
(3) model is iterated calculating, first adjust spring preload to meet a values, then adjust spring rate to meet b values,
And then obtain meeting the spring preload under the conditions of a, b value and spring rate；
(4) spring is checked, in conjunction with existing system fixed spring line footpath and spring outer diameter, is adjusted by adjustment spring pitch
Spring rate keeps the spring rate that the spring rate of adjusting and step (3) obtain identical, and calculates the stress ratio and spring of spring
Press simultaneously length；
(5) judge work maximum stress than whether meeting spring maximum stress ratio less than input requirements, and spring most unskilled labourer
Make whether length meets more than or equal to 1.1 times spring pressures and length；Such as judge success, obtain meeting under the conditions of a, b value can
Capable preferable spring preload and spring rate；Otherwise b=b+ △ b carry out next round analysis, unsuccessful until judging, or reach b
=1, terminate analysis；
(6) spring parameter judged under successfully maximum b values is taken, the spring parameter of the optimization of the strut system as the vehicle,
The spring parameter of the optimization includes spring preload, spring rate, spring pitch, and the strut system for obtaining the selected vehicle is best
Hovering performance.
2. the method according to claim 1 to the optimization design under existing automobile tail gate electricity strut system, feature exists
In：In step (1), the template model for establishing electronic strut is the ADAMS kinematics analysis templates of electronic strut, template model
Degree of freedom is zero；The parameter is the electronic strut of tail-gate according to selection, and VB6.0 calls the EXEL parametrizations of selected strut
Table, display parameters simultaneously read parameter；It is preserved after modification parameter, updates the parametrization table of selected strut.
3. the method according to claim 1 to the optimization design under existing automobile tail gate electricity strut system, feature exists
In：In step (4), the maximum, force that spring is born at work is obtained by model analysis, and calculate the maximum stress of spring；Root
Its maximum stress allowed is determined according to spring material, thus obtains maximum stress ratio；Pass through spring preload, spring rate and spring
Length when preloading calculates spring free length；By spring pitch, total coil number of spring is calculated, it is known that spring line footpath, thus
To spring pressure and length.
4. the method according to claim 1 to the optimization design under existing automobile tail gate electricity strut system, feature exists
In：Different a values are inputted, different spring Optimal Parameters can be obtained, a values are larger, are conducive to hover, but manual door closing force increases
Add.
5. the dress that the method according to claim 1 to the optimization design under existing automobile tail gate electricity strut system uses
It sets, which is characterized in that including：
Acquisition module, the parameter of template model and generation automobile tail gate electricity strut for obtaining electronic strut, the parameter packet
Include the location information of strut, door hinge dot position information, door position of centre of gravity information, shutdown dot position information, enabling point confidence
Breath, spring parameter, car door hard-over, tail-gate weight；Spring parameter includes spring line footpath, spring outer diameter；
Modified module for changing the template model of electronic strut according to the generation parameter, and generates new template model；
Analysis module compares feelings in the average door closing force met the requirements for analyzing more than averagely enabling power a values, spring maximum stress
Under condition, by determining the initial value of the ratio between top dead centre door closing force and enabling power b, and input step-length △ b, obtain meeting a, b value item
Spring preload under part and spring rate；
Checking computations module is obtained according to adjustment spring pitch come adjustment spring rigidity in the spring rate and analysis module of adjusting
When spring rate is identical, checks spring preload and whether spring rate is feasible；
Optimization module, when checking computations module successfully cannot obtain result, replicate analysis module, checking computations module, final obtain are passed through
Check the spring parameter under the maximum b values of module.
6. the device according to claim 5 to the optimization design under existing automobile tail gate electricity strut system, feature exists
In analysis module includes the first judgment module, the number for judging to meet spring preload and spring rate under the conditions of a, b value
According to.
7. the device according to claim 5 to the optimization design under existing automobile tail gate electricity strut system, feature exists
In, checking computations module include the second judgment module, judge work maximum stress than whether meet less than input requirements spring most
Big stress ratio, and whether spring minimum active length meets more than or equal to 1.1 times spring pressures and length.
8. the device according to claim 5 to the optimization design under existing automobile tail gate electricity strut system, feature exists
In optimization module includes third judgment module, judges the spring parameter under maximum b values.
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| CN109241689A (en) * | 2018-11-09 | 2019-01-18 | 广州威尔弗汽车用品股份有限公司 | The method of electric tail gate support rod application simulation test |
| CN109829188A (en) * | 2018-12-19 | 2019-05-31 | 苏州奥杰汽车技术股份有限公司 | A kind of automotive back door opening force analysis method based on ADAMS |
| CN112989498A (en) * | 2021-04-22 | 2021-06-18 | 常州市凯迪电器股份有限公司 | Method for calculating output force of electric stay bar of four-bar tail gate |
| CN113297676A (en) * | 2021-06-15 | 2021-08-24 | 苏州睿策汽车零部件有限公司 | Parameter analysis system and method for air spring of automobile tail door |
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| CN109241689A (en) * | 2018-11-09 | 2019-01-18 | 广州威尔弗汽车用品股份有限公司 | The method of electric tail gate support rod application simulation test |
| CN109241689B (en) * | 2018-11-09 | 2023-03-24 | 广州威尔弗汽车用品股份有限公司 | Method for simulation test of electric tail gate supporting rod application |
| CN109829188A (en) * | 2018-12-19 | 2019-05-31 | 苏州奥杰汽车技术股份有限公司 | A kind of automotive back door opening force analysis method based on ADAMS |
| CN112989498A (en) * | 2021-04-22 | 2021-06-18 | 常州市凯迪电器股份有限公司 | Method for calculating output force of electric stay bar of four-bar tail gate |
| CN112989498B (en) * | 2021-04-22 | 2021-08-10 | 常州市凯迪电器股份有限公司 | Method for calculating output force of electric stay bar of four-bar tail gate |
| CN113297676A (en) * | 2021-06-15 | 2021-08-24 | 苏州睿策汽车零部件有限公司 | Parameter analysis system and method for air spring of automobile tail door |
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