Vehicle collision performance optimization method based on VPI and OLC

An optimization method and performance technology, applied in geometric CAD, special data processing applications, etc., can solve problems such as acceleration coupling, increased vehicle cost, and instability of front-end energy-absorbing structures, and achieve the effect of reducing VPI and increasing rebound speed

Pending Publication Date: 2022-01-14
摩登汽车有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method needs to be based on progressive axial folding, so the structure and material distribution must follow the principle of weak front and strong rear, otherwise the front energy-absorbing structure will have the risk of instability. The arrangement of high-strength materials at the front and middle of the energy-absorbing box and the longitudinal beam will inevitably require a stronger structural strength at the rear of the longitudinal beam, so the weight of the material will accumulate on the path of the energy-absorbing box and the longitudinal beam, and will increase vehicle cost
At the same time, because the acceleration curve in the middle section of this method is relatively high, and the chest of the occupant has been restrained and pre-tightened by the seat belt at this time, and is squeezed backward by the airbag and the steering column, it is easy to cause the acceleration of the occupant's chest to be different from that of the vehicle body. coupling

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vehicle collision performance optimization method based on VPI and OLC
  • Vehicle collision performance optimization method based on VPI and OLC
  • Vehicle collision performance optimization method based on VPI and OLC

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0155] When a vehicle weighing 2 tons is V 0 When =13.89m / s speed hits the rigid wall head-on, according to the formula (28): y=Qx, where, Q≈2, combined with the attached Figure 14 , the vehicle company has set a vehicle development goal of less than 31g OLC and less than 57g VPI. Through the first CAE simulation, it is found that the crushable space of the front cabin of the vehicle is relatively small, only 337mm, and the rebound speed of the vehicle is only 1m / s. According to the kinetic energy theorem: Calculate the average acceleration A of the vehicle 0 = 29 g.

[0156] Among them, M is the weight of the vehicle, and S is the collapse distance of the vehicle.

[0157] Will A 0 Substituting into the calculation formula of VPI can get VPI=64.84g, A 0 =29g and Vr=1m / s are substituted into the calculation formula of OLC to get OLC=30.43g. It can be found that OLC has met the target specified by the company, but VPI=64.84g>target 57g, and the body needs to be further o...

Embodiment 2

[0160] When a car with a weight of 2.5 tons is V 0 When =13.89m / s speed hits the rigid wall head-on, according to the formula (28): y=Qx, where, Q≈2, combined with the attached Figure 14 , the vehicle company has set a vehicle development target of OLC less than 35g and VPI less than 65g. Through the first CAE simulation, it is found that the crushable space of the front compartment of the vehicle is relatively small, only 291mm, and the rebound speed of the vehicle is only 2m / s. According to the kinetic energy theorem: Calculate the average acceleration A of the vehicle 0 = 33 g.

[0161] Among them, M is the weight of the vehicle, and S is the collapse distance of the vehicle.

[0162] Will A 0 Substituting into the calculation formula of VPI can get VPI=73.9g, A 0 =33g and Vr=2m / s are substituted into the calculation formula of OLC to get OLC=34.6g. It can be found that OLC has met the target specified by the company, but VPI=73.9g>target 65g, and the body needs to b...

Embodiment 3

[0165] When a car with a weight of 2.8 tons is V 0 When =13.89m / s speed hits the rigid wall head-on, according to the formula (28): y=Qx, where, Q≈2, combined with the attached Figure 14 , the vehicle company has set a vehicle development target of OLC less than 36g and VPI less than 65g. Through the first CAE simulation, it is found that the crushable space of the front compartment of the vehicle is relatively small, only 253mm, and the rebound speed of the vehicle is 3m / s. According to the kinetic energy theorem: Calculate the average acceleration A of the vehicle 0 = 37g.

[0166] Among them, M is the weight of the vehicle, and S is the collapse distance of the vehicle.

[0167] Will A 0 Substituting into the calculation formula of VPI can get VPI=81g, A 0 =37g and Vr=3m / s are substituted into the calculation formula of OLC to get OLC=38.9g. It can be found that OLC has met the target specified by the company, but VPI=81g>target 65g, and the body needs to be further ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a vehicle collision performance optimization method based on VPI and OLC, comprising the following steps: 1, fitting a VPI curve and an OLC curve to obtain a linear regression formula of the VPI to the OLC when the initial velocity V0 of a vehicle collides with a rigid wall and the average deceleration is A0; 2, not changing the OLC, reducing the average deceleration of the vehicle by optimizing and further optimizing the collision performance of the vehicle body structure, and improving the rebound speed relatively; 3, recalculating the vehicle average deceleration and rebound speed of the vehicle body structure after collision performance optimization, judging whether the vehicle average deceleration and rebound speed meet the relational expression requirements of VPI and OLC or not, and if not, returning to the step 2 for further optimization; if yes, taking that optimization is completed. According to the invention, a linear regression formula of the VPI to the OLC is utilized, and on the premise that the OLC is not changed, the crashworthiness design of the vehicle body structure is guided through the change rule of the VPI.

Description

technical field [0001] The invention relates to a collision design method of an automobile body structure, in particular to a method for optimizing automobile collision performance based on VPI and OLC. Background technique [0002] VPI (Peak vehicle pulse index, meaning vehicle peak pulse index) is a method to approximate the peak acceleration of the chest of the occupants in the vehicle through the acceleration curve of the vehicle during the collision. [0003] OLC (Occupant loading criterion, which means occupant loading criterion) is a method to approximate the average chest acceleration of the occupants in the vehicle through the speed change curve of the vehicle during the collision. [0004] Although VPI and OLC indexes are widely used to evaluate the overall performance of vehicle collisions in the design of automobile body structures by major automobile companies, both VPI and OLC indexes are used alone, and only a single value can be obtained through VPI or OLC in...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/15
CPCG06F30/15
Inventor 黄晨晖祁鹤兴田思
Owner 摩登汽车有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products