Application Of Multi-discipline Design Optimization In Automotive Chassis

With the development of automotive technology, automotive chassis systemsbecome more and more complex, interactions between the various components of itssubsystems is increasingly obvious. Design of the chassis systems involvesmulti-discipline field, making the overall design of the system chassis the process isvery complicated. To improve the mining potential and the quality of design,Multidisciplinary design optimization (MDO) idea are applied to the chassis systemsdesign. The theory and methods for the design of chassis systems are analyzed andresearched, which has important academic value and broads application prospects.Based on analysis and summary for the chassis design and multidisciplinarydesign optimization method, the methoed of multi-disciplinary design optimization areapplied in the chassis integrated design, electronic design and lightweight design. Themain research work and achievements accomplished as follows:(1) The design model, solving ideas and optimization algorithm ofmultidisciplinary design optimization are analyzed. From the effects of designvariables on the objective function, the conception and the acceptance criteria ofcoupling strength have been proposed. On this basis, a multi-disciplinary designoptimization model of EPS/ASS/ABS system is designed. Finally, road test resultsprove that the model and optimization methods are effective and reasonable.(2) The multidisciplinary optimization model of ASS and EPS integrated systemis established, then, mechanical and control parameters of ASS/EPS integrated systemare optimized by applying AAO optimization algorithm. Comparing the simulationresults of model used the optimized parameters and the simulation results of modelused the unoptimized parameters, The results showed that the AAO method canreduce the impact of the system and the coupling factor between the mechanicalstructure and control system and make system achieve optimal performance.(3) The multidisciplinary optimization model of EPS/ASS/ABS system isestablished. then, The sensitivity of all design variables were calculated,which decidethat the main parameters of the suspension system were made global variable.Comparing the simulation results of model used the optimized parameters by COalgorithm, the simulation results of model used the optimized parameters by AAOalgorithm and the simulation results of model used the unoptimized parameters,Simulation results show that CO optimization method is superior to AAO method, which make system achieve optimal overall system performance while theperformance of each subsystem is optimum.(4) Because of the uncertainty factor in the design variables, CO method based onreliability is presented by combining the reliability theory and collaborativeoptimization method. Take drive axle as an example, lightweight design, theoreticalanalysis and experimental test were carried out. All of results show that the method canreduce the quality, make the sensitivity of the design variables for the objectivefunction down, and improve the robustness of the design method.