VEHICLE CRASH ANALYSIS FOR AIRBAG DEPLOYMENT DECISION

  • Hussain, A. (Department of Electrical, Electronic & Systems Engineering, University Kebangsaan Malaysia) ;
  • Hannan, M.A. (Department of Electrical, Electronic & Systems Engineering, University Kebangsaan Malaysia) ;
  • Mohamed, A. (Department of Electrical, Electronic & Systems Engineering, University Kebangsaan Malaysia) ;
  • Sanusi, H. (Department of Electrical, Electronic & Systems Engineering, University Kebangsaan Malaysia) ;
  • Ariffin, A.K. (Dept. of Mechanical and Materials Engineering, Faculty of Engineering, University Kebangsaan Malaysia)
  • Published : 2006.04.01

Abstract

Airbag deployment has been responsible for huge death, incidental injuries and broken bones due to low crash severity and wrong deployment decision. This misfortune has led the authorities and the industries to pursue uniquely designed airbags incorporating crash-sensing technologies. This paper provides a thorough discussion underlying crash sensing algorithm approaches for the subject matter. Unfortunately, most algorithms used for crash sensing still have some problems. They either deploy at low severity or fail to trigger the airbag on time. In this work, the crash-sensing algorithm is studied by analyzing the data obtained from the variables such as (i) change of velocity, (ii) speed of the vehicle and (iii) acceleration. The change of velocity is used to detect crash while speed of the vehicle provides relevant information for deployment decision. This paper also demonstrates crash severity with respect to the changing speed of the vehicle. Crash sensing simulations were carried out using Simulink, Stateflow, SimMechanics and Virtual Reality toolboxes. These toolboxes are also used to validate the results obtained from the simulated experiments of crash sensing, airbag deployment decision and its crash severity detection of the proposed system.

Keywords

References

  1. Chan, C. (2000). Sensor design for automotive air bag systems: Design methods and criteria. Adv. Design Automation, 44/2, 327-334
  2. Chan, C-Y. (2002a). On the detection of vehicular crashes-system characteristics and architecture. IEEE Trans. Vehicular Technology, 51/1, 180-193
  3. Chan, C-Y. (2002b). A treatise on crash sensing for automotive air bag systems. IEEE/ASME Trans. Mechatronics, 7, 220-234 https://doi.org/10.1109/TMECH.2002.1011259
  4. Chaikin, D. (1991). 'Airbags' Popular Mechanics. Hearst Magazines. 81. New York
  5. David, S. B., Lori, S., Carlson, J. and Koyzreff, M. (2001). Development of an occupant position sensor system to improve frontal crash protection. Proc. 18th Int. Technical Conf. Enhanced Safety of Vehicles (ESV), Paper No. 325, Paris
  6. Dorel, M. S. and Wang, J. T. (2003). Continuously Predicting crash severity. Proc. 18th Int. Technical Conf. Enhanced Safety of Vehicles (ESV), Paper No. 314, Nagoya, Japan
  7. Mclyer, G. W. (1996). Method and Apparatus for Sensing a Vehicle Crash Condition using Velocity Enhanced Acceleration Crash Metrics. U.S. Patent 5 587 906. Taplinger. New York
  8. Mazur, J. F. (1996). Method and Apparatus for Providing a Deployment Signal for a Vehicle Occupant Restraint Device During a Side Impact. U.S. Patent 5 484 166. Taplinger. New York
  9. Shinto, H., Ogata, K., Teraoka, F. and Fukabori, M. (1991). Simulation and Testing of an All-mechanical Air Bag System. Automotive Engineering. 29−31. Warrendale, PA
  10. mith, R. B. and Kincaid, K. D. (1998). Logic Level Arming Sensor for Supplemental Inflatable Restraint. U.S. Patent 5 845 729. PatentStrom. Washington D.C