Abstract
This paper is devoted to the problem of finding optimized parameter combinations of automotive damper modules. Different cost functions using the amplitude spectrum of the excitation and the frequency response function of the car model will be investigated and it is shown that for three different arbitrary road excitations there exists a parameter combination of top mount stiffness, piston rod mass and damping constant that provides an optimum for the dynamic wheel load fluctuation. The achieved advantage of the optimized damper module regarding the dynamic wheel load fluctuation compared to a simple damper in a two mass vibration system can reach up to 20 percent.
Highlights
The problem of finding an optimal damping characteristic for a two mass quarter car model regarding comfort and safety has been solved for synthetic white noise excitations [1]
The Root Mean Square (RMS) values of the body acceleration are plotted as a function of the RMS-values of the dynamic wheel load fluctuation when the spring stiffness is constant while the damping constant varies and vice versa
The aim of this paper is to find optimal damper module parameter combinations that may serve as a basis for designing realistic nonlinear damping characteristics
Summary
The problem of finding an optimal damping characteristic for a two mass quarter car model regarding comfort and safety has been solved for synthetic white noise excitations [1]. Comfort and driving safety are measured by the variances of body acceleration and dynamic wheel load fluctuation Another method to describe the problem of tuning a spring damper combination in a two mass oscillating system is the so-called conflict diagram. In reality in absolutely all cases the damper is connected to the vehicle body via the piston rod and spring stiffness, called top mount, which changes the effective damping force a lot [4] [5]. The combination of the damping force element, the piston rod mass and the spring stiffness is called a damper module throughout this paper. In everyday practice, no one uses an optimization procedure based on white noise excitation and a simple damper to find a damping characteristic
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