摘要：This paper analyzes the ride comfort of distributed electric vehicle, simplifies a distributed electric vehicle to a fifteen degree of freedom model, and deduces the vibration differential equation by Newton 's second theorem. In this paper, a new type of hub motor vibration reduction system is established, which effectively solves the problem of large unsprung mass of distributed drive vehicles and provides a new method to improve the ride comfort of distributed drive electric vehicles. The genetic algorithm mainly regards the stiffness and damping of the suspension, hub motor damping system and tire as the design variables. The sum of root mean square value of suspension disturbance degree, body acceleration and wheel dynamic load is taken as the optimization objective function, and the limit stroke of wheel up and down and wheel dynamic load limit are taken as constraints. In order to verify the simulation optimization effect, this paper further simulates the natural frequency, damping ratio, stiffness ratio, mass ratio, speed and road surface grade of distributed drive electric vehicle. The results show that the optimization of the stiffness and damping of distributed-drive electric vehicles effectively improves ride comfort and passenger comfort. The 15 DOF model of distributed electric vehicle provides a theoretical basis for analyzing the ride comfort of distributed electric vehicle.
