Optimization design on dynamic load sharing performance for an in-wheel motor speed reducer based on genetic algorithm

With the help of the genetic algorithm search technique as well as the two-dimensional simplified model of floating planetary gear set, the optimal design of the dynamic load sharing performance for an in-wheel motor planetary gear reducer is completed. Based on the internal and external incentive factors, the formula for calculating the average load factor is derived. Through the numerical calculation of the dynamic response of the planetary gear set, several design parameters which have significant influence on the performance of the reducer is determined. In the optimization process, a program based on Ishikawa algorithm to express the time-varying meshing stiffness in the dynamic equations for the optimization is achieved. The multi-objective including load sharing performance and volume optimization method is established. A comparison study on the single optimization is also carried out in this work. The research results and the optimization program can help the designer to improve the dynamic performance as well as the design properties of the planetary gear set.