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Abstract
The present paper investigates an approach to integrate active and passive safety systems of
passenger cars. Worldwide, the introduction of Integrated Safety Systems and Advanced Driver
Assistance Systems (ADAS) is considered to continue the today's trend of reduction of traffic
accidents and mitigating their severity and consequences. An algorithm is proposed in this
paper where force levels and activation times of an adaptive restraint system are calculated based on the actual crash scenario.
The method takes into account the crash severity by a forecast of the acceleration behaviour of the passenger cell. This is calculated by a simplified multi body model of the impact, considering input data from an environment recognition system. The vehicle deformations are simulated using non-linear springs with hysteresis. The characteristics of the
springs are derived from NHTSA's crash database.
The occupant of the ego-vehicle is considered also by a simplified rigid body model, taking into
account mass and seating position of the occupant.
Optimal force levels and trigger times of the adaptive restraint system are calculated in order to
minimise the acceleration of the occupant.
For demonstration, different configurations with different collision severity and occupant mass were investigated with numerical simulations. In almost every load case significant reductions up to 90 % of the acceleration experienced by the occupant were observed. Influences on the accuracy of the recognition of mass and stiffness of the opponent
vehicle were analysed in order to derive requirements for environment recognition systems.
The present study forms the basis of future work which includes a real-time application and
demonstration in a vehicle.
passenger cars. Worldwide, the introduction of Integrated Safety Systems and Advanced Driver
Assistance Systems (ADAS) is considered to continue the today's trend of reduction of traffic
accidents and mitigating their severity and consequences. An algorithm is proposed in this
paper where force levels and activation times of an adaptive restraint system are calculated based on the actual crash scenario.
The method takes into account the crash severity by a forecast of the acceleration behaviour of the passenger cell. This is calculated by a simplified multi body model of the impact, considering input data from an environment recognition system. The vehicle deformations are simulated using non-linear springs with hysteresis. The characteristics of the
springs are derived from NHTSA's crash database.
The occupant of the ego-vehicle is considered also by a simplified rigid body model, taking into
account mass and seating position of the occupant.
Optimal force levels and trigger times of the adaptive restraint system are calculated in order to
minimise the acceleration of the occupant.
For demonstration, different configurations with different collision severity and occupant mass were investigated with numerical simulations. In almost every load case significant reductions up to 90 % of the acceleration experienced by the occupant were observed. Influences on the accuracy of the recognition of mass and stiffness of the opponent
vehicle were analysed in order to derive requirements for environment recognition systems.
The present study forms the basis of future work which includes a real-time application and
demonstration in a vehicle.
Originalsprache | englisch |
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Titel | Proceedings of the 2nd International Multi-Conference on Engineering and Technological Innovation (IMETI |
Erscheinungsort | Winter Garden, Fla. |
Seiten | 286-291 |
Band | 1 |
Publikationsstatus | Veröffentlicht - 2009 |
Veranstaltung | 2nd International Multi-Conference on Engineering and Technological Innovation: IMETI 2009 - Orlando, USA / Vereinigte Staaten Dauer: 10 Juli 2009 → 13 Juli 2009 |
Konferenz
Konferenz | 2nd International Multi-Conference on Engineering and Technological Innovation |
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Kurztitel | IMETI 2009 |
Land/Gebiet | USA / Vereinigte Staaten |
Ort | Orlando |
Zeitraum | 10/07/09 → 13/07/09 |
Treatment code (Nähere Zuordnung)
- Basic - Fundamental (Grundlagenforschung)
- Theoretical
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FTG-S06 Regelung von adaptiven Rückhaltesystemen
Eichberger, A. (Projektleiter (Principal Investigator))
1/01/08 → 31/12/23
Projekt: Forschungsprojekt