Matching and optimization of vehicle ride comfort based on rigid-flexible coupling model
To enhance the ride comfort of an electric vehicle,we build a comprehensive multi-body dynamic model grounded in rigid-flexible coupling principles within the ADAMS platform.The model undergoes validation through comparative analysis,where simulations of ride comfort on a virtual four-poster test rig within the ADAMS/Ride module are juxtaposed with actual road simulation tests performed on a real vehicle mounted on a standardized four-poster bench.The spring stiffness and shock absorber damping characteristics of both the front and rear suspension systems are identified as key design variables.A tailored experimental design,employing the Central Composite Design(CCD)methodology is devised to generate a comprehensive test plan.Then,a response surface methodology approximation model is formulated,utilizing the test data,with the root mean square of the total weighted acceleration at the driver's centroid serving as the primary response indicator.Leveraging this RSM model,we initiate an optimization process,improving the vehicle's ride comfort.The outcome is a set of optimized parameters for the front and rear suspension systems.Notably,when the optimized vehicle drives on an asphalt road at a speed of 50 km/h,the RMS value of the total weighted acceleration at the driver's centroid decreases by 7.6%,markedly improving the vehicle's ride comfort.
ridebattery electric vehicleresponse surface methodrigid-flexible coupling modelADAMS