Delphi Technologies, Inc.

Aptiv Technologies Limited

Russell L Simpson

Walter Kirk Kosiak

Robert J Cashler

Charles A Cluff

David R Little

Junqiang Shen

Christopher Michael Caruso

David John Nichols

Santosh Anishetty

David J Nichols

A method and a system on a vehicle for activating a pedestrian protection device that has one or more sensors coupled to a fascia of the vehicle and activates the pedestrian protection device if the signal from a sensor is greater than a minimum threshold and less than a maximum threshold. Coupling the one or more sensors to the fascia improves sensitivity for detecting a collision with a pedestrian when compared to systems that do not couple the sensors to the fascia. Comparing the sensor signal to a minimum threshold and a maximum threshold helps avoid inappropriate or ineffective deployment of the pedestrian protection device. When multiple sensors are used, the location of the pedestrian collision on the fascia may be determined.

Collision severity based activation of a pedestrian protection device

A supplemental restraint deployment method utilizes measured vehicle speed and acceleration and the output of a closing velocity sensor that detects the presence and closing rate of an approaching object prior to contact with the vehicle. The closing velocity and vehicle speed are utilized for classification of an impending crash event, where the deployment options vary depending on the crash classification. In the ensuing crash event, a classification-dependent algorithm is executed to determine if, when and what level of restraint deployment is warranted based on measures of actual crash severity. Additionally, the algorithm is reset when the calculated change in vehicle velocity reaches the initial closing velocity.

Supplemental restraint deployment method with anticipatory crash classification

A vehicle restraint control system provides sophisticated, adaptable control of occupant restraints through the use of a system level architecture to predict the nature of a crash event at the earliest possible time and an occupant injury model to tailor the restraint deployment in an adaptable way to characteristics of the protected vehicle occupant(s) and the nature of the crash event. The occupant injury model derives the potential for injury in a particular vehicle crash in real time as a function of occupant mass, vehicle interior stiffness and occupant impact velocity with respect to the vehicle interior. Peak vehicle crush zone velocity is used as a predictor of occupant impact velocity with the vehicle interior. Predicted occupant impact velocity is preferably adjusted in response to derived impact angle factor, which is derived from orthogonal lateral and longitudinal accelerometers in the vehicle occupant compartment. Vehicle longitudinal velocity may be integrated to predict occupant displacement, relative to the vehicle, as an additional factor used in the control system.

Vehicle occupant restraint control system using a crash severity model

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Noblesville, IN, United States of America

Russell L Simpson