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By the end of2011, China has105.7877million cars, car road traffic accident rate unabated, the harm of the big is obvious. When the collision accident happens, how to effectively protect the lives and property of the crew safe, improve the collision protection performance, it is the world’s major auto manufacturer, one of the main research contents. Computer technology has greatly enhanced the collision of the rapid development of simulation technology, and laid a good foundation for crash safety research. Now, MADYMO software in car passive safety research is widely, especially the occupant restraint system simulation and optimization. So, in this paper the read many of the reference, and on the basis of also understand and master the MADYMO software theory and application, and using the software to occupant restraint system simulation and optimization analysis.In car passive safety research fields, occupant restraint systems have been widely studied, especially the seat belt airbags and two important constraint components, this article is to consider the whole restraint systems, key research airbags, seat belt and seat and so on constraint system components characteristics, improve the car occupant protection effect. Computer technology has greatly enhanced the collision of the rapid development of simulation technology, and laid a good foundation for crash safety research. This paper first analyzes the current situation of domestic and foreign traffic accidents, the passive safety regulations and standards at home and abroad, and occupant protection research methods and damage evaluation. Then, the experimental data based on a small car, building the driver’s side of the restraint system simulation model, the entire model in MADYMO, including the cab, seat belts, airbags and HybridIII50th dummy model after correction, compared with the experimental data to meet the requirements; sensitivity analysis to verify the model, restraint system design parameters, according to the degree of influence of various design parameters on the dummy injury indicators, to determine the parameters involved in the optimization of the design, then using the orthogonal experiment method to arrange the experiment, the analysis of Method R and handling data, the optimal combination of parameters, the optimal parameter combination of data re-enter the model simulation, a set of injury data, significantly optimized compared with the original model.
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