Simulation Analysis And Optimization Of Ride Comfort And Handling Stability Of An Electric Truck

With the progress of society,people are not satisfied with the dynamic and trafficability of the truck,and put forward higher demand for safety and comfort,which also makes the truck designers carry out more in-depth research on the handling stability and ride comfort of the whole truck.Because the handling stability and ride comfort are interrelated and mutually restrictive,this paper optimizes the ride comfort of freight cars on the premise of guaranteeing good handling stability after simulating and analyzing the ride comfort and handling stability of the whole vehicle.Combining with the development project of a new electric truck in an enterprise,this paper establishes the whole vehicle model in ADAMS/Car and carries out the simulation analysis of handling stability and ride comfort,and then optimizes the ride comfort of the whole vehicle based on handling stability.According to the relevant parameters,the whole vehicle dynamics simulation model is established in ADAMS/Car,which mainly includes suspension system,steering system,tire system,power assembly system,lateral stabilizer rod,body system,transmission shaft and other subsystem models.The subsystem model is assembled into the vehicle model,and the vehicle handling stability model and ride comfort model are established by using MDI?SDI?TRSTING test-bed and ARIDE?FOUR?POST test-bed respectively.According to GB/T4970-2009 "Test Method of Automobile Ride Comfort",ride comfort simulation test is carried out,B-class random road surface is established,and random input simulation test is carried out at a speed of 30 km/h-60 km/h.The triangular impulse pavement was built and the vehicle speed was set at 10 km/h-60 km/h for impulse input simulation test.The response curve of vibration acceleration is obtained,and the results are weighted and analyzed.The relationship between weighted acceleration root mean square value and vehicle speed is obtained,and the ride comfort performance of the vehicle is calculated and evaluated.According to the automobile industry standard(GB/T6323-2014)"Test Method for Vehicle Handling and Stability",the steady-state rotation,steering wheel angle step,steering wheel angle pulse,snake-shaped piercing pile,steering return and other handling and stability tests are carried out.According to the parameters of yaw angular velocity,body roll angle and roll angular velocity in the test results,the handling stability of the vehicle is evaluated andanalyzed.On the basis of guaranteeing good handling stability,the ride comfort is optimized,and the influence law of each parameter on the ride comfort is studied and analyzed.The method of neural network optimized by genetic algorithm is used to optimize the ride comfort of electric truck.The damping and stiffness of front and rear suspensions are selected as optimization variables.On the premise of guaranteeing good handling stability,a design scheme for ride comfort optimization is proposed.Finally,the optimized vehicle is tested and analyzed,and compared with the relevant data before optimization.