Optimum design of coordinated control and loading scheme for vehicle chassis system based on genetic algorithms

The kinematics model of the front independent suspension and steering system of passenger car is established by using genetic algorithm theory. In order to minimize the variation of wheel alignment parameters, the difference between actual and theoretical wheel angles, and the lateral slip of tires, a method based on kinematics simulation analysis and genetic algorithm is proposed to optimize the design of independent suspension and steering system of passenger cars. Based on the optimization results, a new product is trial-produced. The test after assembly shows that the new product can solve the problems of large variation of positioning parameters, serious wear of tire and steering rod ball heads and oil leakage of steering engine in the course of suspension runout. In this paper, the genetic algorithm is used to optimize the design of the front independent suspension and steering system of passenger car. Some problems of the original suspension and steering system are solved, which provides an important design reference for the improvement of this type of passenger car.