Semi-Active Suspension Of In-wheel Motor Drive Ev Modeling And Ride Performance Simulation

With the gradual reduction of oil resources, electric vehicle will become the main form of future vehicle eventually. Advantages of in-wheel motor drive EV as highly integrated structure, multiple freedom of design etc, which urge this vehicle to become an important force of the development of automotive industry. In-wheel motor drive EV employ wheel type motors, and which exert some influence on the structure of suspension when coupling with traditional suspension. These effects include parameter changes of kingpin, increases of the un-sprung mass, and the changes of structural forms of tires, wheel hub. These factors will act on the ride of vehicle, resulting in the deterioration of the ride. Conventional passive suspension system is unable to meet the needs of real-time adjustment, so it’s necessary to develop the technology of suspension adjustment and control in allusion to the deterioration of the in-wheel motor drive EV.ADAMS/CAR is a professional vehicle dynamics software, which could converted into kinetic model based on multi-body dynamics form physical model, and further on virtual prototype simulation experiment of vehicle or parts. The module of RIDE could do many ride comfort simulation experiments accurately and effectively. It’s effectively and quickly to achieve a variety of modern control methods in the MATLAB/simulink, so we could build the model of semi-active suspension using the simulink tool in this article.In this paper, taking in-wheel motor drive EV as the research object, analyze the important components of electric wheel firstly and the impact of coupling between traditional suspension and electric wheel. Then build the vehicle dynamic model with ADAMS/CAR as a platform, and go on some ride comfort simulation experiments on the basis of the vehicle model. according to the simulink results and riding evaluation we have set, we analyze the impact on ride from the changes of the initial value of kingpin offset, the stiffness and damp of tires as well as the increase of unsprung mass. When building the model of In-wheel motor drive EV, the impact of semi-active suspension should be considered. So create the input and output variables which connect to the semi-active suspension in ADAMS/control. We establish magnetorheological semi-active suspension model, PID control system and fuzzy control system using MATLAB/simulink. The vehicle model is introduced into the simulink environment, connected with the semi-active suspension control system, and make joint control simulation on ride of in-wheel motor drive EV. At last, on the base of the results of joint control simulation, PID and fuzzy control system could improve the ride comfort deterioration caused by the increase in unsprung mass, the initial value of kingpin offset and the stiffness and damp of tires in the In-wheel motor drive EV.