Multi-objective optimization of parameters of automotive mechanical automatic transmission system based on particle swarm optimization
Auto mechanical automatic transmission system can not meet the operation requirements of low energy consumption and high power at the same time.In order to improve the operation performance of the transmission system,a multi-objective optimization of auto mechanical automatic transmission system parameters based on particle swarm optimization algorithm is proposed.This method first learns and analyzes the overall dynamic model of the vehicle and the motor efficiency,then establishes the objective function according to the maximum speed,acceleration performance and climbing performance of the vehicle during driving,and finally uses particle swarm optimization algorithm to solve the optimal solution of the objective function,uses the inertia weight of the vehicle during driving to make the global search ability reach a balanced state,and realizes automatic particle optimization based on the learning factor,To realize the multi-objective optimization of the parameters of the automotive mechanical automatic transmission system.The experimental results show that the proposed method has low energy consumption,high operating efficiency and good dynamic performance.It can effectively improve the operation performance of the mechanical automatic transmission system of automobiles,and has a certain role in promoting the non delayed transmission of automobiles.
particle swarm optimizationautomatic transmission systemmulti objective optimizationhub motorobjective function
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