Reduction of Selected Road Noise Phenomena by Modifying Suspension Kinematics Using Metamodels in the Digital Vehicle Development Phase

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With growing electrification and comfort in cars, road noise reduction is increasingly important. This study explores influencing road noise via suspension kinematics optimization in early development. 500 kinematics variations are modeled with ANNs for fast numerical and qualitative optimization. Simulations resolve NVH conflicts and guide metamodel-based cavity noise tuning. Hardware validation confirms an effective, cost- and weight-neutral NVH improvement.

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Timo von Wysocki

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Rollgeräusch Achskinematik NVH Metamodelle Machine Learning Road Noise Suspension Kinematics Metamodels

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