Exploration of a multi-information fusion model for intelligent vehicle suspension systems

This paper develops an optimized dynamic model for intelligent vehicle suspensions that balance energy recovery with ride comfort. We introduce energy recovery metrics and the tire force coefficient of variation to quantify efficiency and road contact stability. Data from multiple scenarios are synthesized into a composite objective function. The resulting parameter-optimized model provides a foundation for designing high-performance suspension systems.