Abstract
Since the driving motor is embedded in the wheel, the unsprung mass and the wheel rotational inertia of the in-wheel motor drive electric vehicle both increase, which not only affect the vehicle smoothness but also worsen the motor’s working condition due to its own vertical vibration. The evaluation index of in-wheel motor’s vertical vibration is introduced on the basis of vehicle smoothness analysis. The parameters’ optimization of vibration absorber and suspension are carried out, respectively, and the optimization results show the contradictory relationship between smoothness objective and the motor’s vertical vibration acceleration objective. Regarding the contradictory indices of the smoothness and the motor’s vertical acceleration as the objective function, a multiobjective optimization scheme is designed. Then, the orthogonal experimentation and fuzzy clustering method are applied in the multiobjective optimized design based on the game decision analysis, and the Nash equilibrium and cooperative competition game theory are used to optimize the parameters of suspension and vibration absorber. The optimized results verify the game relation between the optimization variables, the game optimization obtains better optimized results than traditional linear weight sum method, and the in-wheel motor functional stability and the vehicle smoothness can be both achieved. Compared with the traditional complex iterative process and the manmade preassurance weight allocation, the game optimization has the advantages of less iterations, faster convergence, and less influence by human experience.
Highlights
New energy automobiles have become the forwardlooking field in the car industry. e driven technology of the new energy automobiles and the traditional internal combustion engine cars shares a great deal of differences, among which the in-wheel motor drive electric vehicles embrace a promising prospect as a new car driven method
In order to suppress the in-wheel vibration and improve vehicle ride comfort, the in-wheel motor in [6] was considered as a dynamic vibration absorber, which was isolated from the unsprung mass by using a spring and a damper
A Rojas et al [7] conducted a deep and thorough study on the active and passive suspensions of the in-wheel motor drive cars and the in-wheel motors including the damping suspension devices, and the study results revealed that the half and active suspension system could reduce the unsprung mass vertical vibration acceleration
Summary
New energy automobiles have become the forwardlooking field in the car industry. e driven technology of the new energy automobiles and the traditional internal combustion engine cars shares a great deal of differences, among which the in-wheel motor drive electric vehicles embrace a promising prospect as a new car driven method. References [1,2,3,4,5] pointed out that, because of the introduction of the in-wheel motors, the Mathematical Problems in Engineering unsprung mass of the vehicle is increased clearly, promoting the dynamic load of the tires and the vibration acceleration of the car greatly to affect the ground-touching features of the tires and the smoothness of the vehicle. A Rojas et al [7] conducted a deep and thorough study on the active and passive suspensions of the in-wheel motor drive cars and the in-wheel motors including the damping suspension devices, and the study results revealed that the half and active suspension system could reduce the unsprung mass vertical vibration acceleration. Us, the parameter optimization method and strategy are very important to improve the suspension performance In this paper, it is focused on the two optimized schemes on the in-wheel motor drive vehicle, which are suspension parameters optimization and vibration absorber optimization, respectively. Where |H(jω)x3∼x_0| and |H(jω)x3−x1∼x_0| represent the frequency response of in-wheel motors’ motion distance of x3 and the relative motion distance of the in-wheel motor x3 − x1 to the vertical speed input x_0, respectively
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
