Simulation And Optimization Of A Pickup Truck Vehicle Ride Comfort Based On ADAMS

With great efforts to build China’s highway network as well as increasing people’s living standards and levels of consumption, the car has become an integral part of our daily life. The pickup truck combines the dual characteristics of family cars and commercial vehicles, has become an important part of the automotive market. Nowadays, people have become increasingly demanding for automotive comfort, pickup trucks beside have the cargo capacity, there should be a good ride comfort with them, to ensure that the driver and passengers of good physical comfort, ensure that the goods intact. So it is very necessary to study the performance of the pickup truck ride comfort.This article takes a pickup truck model for the study. Identifying with the body sensitivity of the vibration frequency named weighted acceleration RMS as ride comfort evaluation. Firstly, according to the national standard GB/T 4970-2009 "test method of car ride comfort with random input", choosed a good asphalt pavement and a general asphalt pavement to go on the real car ride comfort testing and evaluated the results based on evaluation methods. Then, test the impact on the car parking conditions on the vehicle powertrain vibration isolation mounting system, and evaluated the effect of vibration. Test results showed that the effect of the vehicle powertrain vibration isolation mounting system is more obvious, the vibration of the engine vibration isolation played a good effect, but in two kinds of random road surface conditions, the car’s smooth performance is poor, the body feelings are extremely uncomfortable, the performance of the car ride needs to be improved.Based on the multibody system dynamics as the theoretical basis, this article uses MSC.ADAMS software for vehicle modeling and simulation optimization. According to the related parameters of the real vehicle, firstly established the front and rear suspension model, steering model, powertrain model, chassis model, and tire model of the pickup truck in the module of ADAMS/Car, and assembly with the test rig to be a simulation model of the vehicle. Secondly, setting up the relevant parameters, established the random road corresponding to the real vehicle test, went on the ride comfort simulation test of the model, and based on the test results to verify the correctness of the model. Then, analyzed the impact of changes in parameters related to the vehicle body vibration. On this basis, designed the optimization test, determined the parameters for the optimization variables, and went on the simulation test of combination of different parameters on random roads to obtain the optimum combination of parameters. The optimization results showed that when the front suspension stiffness is 23 N/mm, the front suspension damping is 0.75 times of the original damping curve, the rear suspension stiffness is 210 N/mm, the rear suspension damping is 0.75 times of the original damping curve, the results of the ride comfort are the best, the root mean square value of weighted acceleration of the vehicle vibration decreased greatly, the vehicle vibration comfort has improved significantly. The optimization results of this paper provide a basis for optimizing the ride performance of the pickup truck.