Performance-based classification method and algorithm for drivers

• US 8,606,465 B2
• Filed: 10/23/2009
• Issued: 12/10/2013
• Est. Priority Date: 11/12/2008
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Wang, Jenne-Tai, Neal, Mark O., Lin, Chin-Hsu, Deng, Bing, Sala, Dorel M.
• Primary Examiner(s): Amin, Bhavesh V
• Application Number:
  US12/604,595
• Publication Number:
  US 20100121535A1
• Time in Patent Office: 1,509 Days
• Field of Search: 701/1, 701/36, 701/45, 701/48, 701/49, 702/173
• US Class Current: 701/45
• CPC Class Codes: B60R 2021/003 characterised by occupant or pedestian
• CPC Class Codes: B60R 2021/006 Type of passenger
• CPC Class Codes: B60R 21/01 Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents electrical circuits for transmission of signals between steering wheel and the vehicle itself B60R16/027; for electrically actuating belt retractor locking means B60R22/343

Abstract

A system and method for classifying the optimization of safety features on a vehicle for a driver of the vehicle based on the height and mass of the driver. The method includes determining a number of basic driver sizes based on driver height and mass and determining a driver'"'"'s seat position for each basic driver height. The method also identifies a set of tunable design variables that are used to adjust the safety features of the vehicle and performs design optimization analysis to identify an optimal design for the vehicle safety features for each of the basic driver sizes. The method then identifies the design from the optimal designs that provides the best performance for randomly selected reference drivers and classifies all drivers into a predetermined number of classifications where each classification represents a particular optimal design.

Claims

1. A method for designing a vehicle to classify a vehicle driver for optimizing vehicle safety systems and devices for the driver, said method comprising:

determining a number of basic driver sizes based on population distributions for each gender;

determining a proper driver seat position for each basic driver size;

identifying a set of tunable design variables that are used to adjust the vehicle safety systems and devices;

performing design optimization analysis on the set of tunable design variables in a processor to identify a set of optimal designs for the vehicle safety systems and devices where each optimal design corresponds to a basic driver size;

performing crash simulations on the processor for each optimal design from the set of optimal designs for a predetermined number of randomly selected reference drivers to produce crash simulation results;

using the crash simulation results to identify the best optimal design from the set of optimal designs that provides the best performance for each of the randomly selected reference drivers;

creating a predetermined number of driver classifications using the best optimal designs where each driver classification identifies a group of drivers that gets the best performance from a particular optimal design; and

manufacturing a production vehicle so that the vehicle safety systems and devices are set to an optimal design for a particular vehicle driver based on the driver'"'"'s size, where the driver'"'"'s size includes height and mass using the driver classifications.

2. The method according to claim 1 wherein each driver size is determined by body mass and height.

3. The method according to claim 1 wherein the driver population distributions of each gender represents statistics data collected by a National Health and Nutrition Examination Survey (NHANES).

4. The method according to claim 1 further comprising providing occupant crash models for each basic driver size from which the design optimization analysis is performed.

5. The method according to claim 1 further comprising providing occupant crash models for the reference drivers from which the crash simulations are performed.

6. The method according to claim 1 wherein one of the vehicle safety systems is an airbag system and design variables for the airbag system include vent size and a time delay duration between first and second stages of airbag firing.

7. The method according to claim 1 wherein one of the vehicle safety devices is a seatbelt load-limiter and a design variable for the load-limiter sets the load-limiter tension.

8. The method according to claim 1 wherein the number of basic occupant sizes is four sizes and the number of classifications and designs is four.

9. The method according to claim 8 wherein the four sizes represent a 5^th percentile female, a 50^th percentile female, a 50^th percentile male and a 95^th percentile male.

12. The method according to claim 1 wherein setting the vehicle systems and devices for a particular vehicle driver includes determining a classification quantity based on the driver'"'"'s height and body mass and determining where that classification quantity falls relative to the optimal designs.

13. The method according to claim 1 wherein the number of reference driver'"'"'s is about fifty.

10. The method according to 1 wherein classifying all driver'"'"'s includes classifying the drivers based on a line defining a threshold where threshold lines separate each design classification in a reference system of body mass and body height.

11. The method according to claim 10 wherein classifying all drivers includes using an equation for each classification in the form of b=−

mx+y, where b is a threshold value, m is the slope of the threshold line, x is the driver'"'"'s body mass and y is the driver'"'"'s body height.

14. A method for designing a driver classification system for optimizing vehicle safety systems and devices for the driver, said method comprising:

determining four basic driver sizes based on population distribution of each gender in terms of body height and mass;

determining a proper driver seat position for each basic driver size;

identifying a set of tunable design variables that are used to adjust the vehicle safety systems and devices;

providing a basic occupant computer crash model for each basic driver size;

performing design optimization analysis on the set of tunable design variables in a processor to identify four optimal designs for the vehicle safety systems and devices one for each of the four basic driver sizes using the basic occupant computer crash models;

performing crash simulations on the processor with the four optimal designs using reference occupant crash models for a predetermined number of randomly selected reference drivers to produce crash simulation results;

using the crash simulation results to identify the best optimal design from the four optimal designs that provides the best performance for each of the randomly selected reference drivers; and

creating a predetermined number of driver classifications using the best optimal designs, where each driver classification identifies a group of drivers that gets the best performance from a particular optimal design.

15. The method according to claim 14 further comprising manufacturing a production vehicle so that the vehicle safety systems and devices for a particular vehicle driver based on the driver'"'"'s height and mass using the classifications and four optimal designs.

16. The method according to claim 14 wherein one of the vehicle safety systems is an airbag system and design variables for the airbag system include vent size and a time delay duration between first and second stages of airbag firing and another one of the vehicle safety devices is a seatbelt load limiter and a design variable for the load-limiter sets the load-limiter tension.

17. The method according to claim 14 wherein the four basic sizes represent a 5^th percentile female, a 50^th percentile female, a 50^th percentile male and a 95^th percentile male.

20. The method according to claim 14 wherein setting the vehicle systems and devices for a particular vehicle driver includes determining a classification quantity based on the driver'"'"'s height and body mass and determining where that classification quantity falls relative to the optimal design.

18. The method according to 14 wherein classifying all drivers includes classifying the drivers based on a line defining a threshold where threshold lines separate each design classification.

19. The method according to claim 18 wherein classifying all drivers includes using an equation for each classification in the form of b=−

mx+y, where b is a threshold value, m is the slope of the threshold line, x is the driver'"'"'s body mass and y is the driver'"'"'s body height.