2023
DOI: 10.3390/vehicles5010010
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A Comparative Study of Integrated Vehicle–Seat–Human Models for the Evaluation of Ride Comfort

Abstract: In the literature the value of the driver’s head acceleration has been widely used as an objective function for the modification of the suspension and/or the seat characteristics in order to optimize the ride comfort of a vehicle. For these optimization procedures various lumped parameter Vehicle–Seat–Human models are proposed. In the present paper a Quarter Car model is integrated with three Seat–Human models with different levels of detail. The level of detail corresponds to the number of degrees of freedom … Show more

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Cited by 1 publication
(5 citation statements)
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References 40 publications
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“…Sensitivity analysis is performed in a lumped-parameter model consisting of three parts: the vehicle, the seat and the human body in a seated position. For the simulation of the vehicle, a linear quarter-car model consisting of two DOFs is used [16]. The driver's seat is simulated with two DOFs [12]; for the seated human body, the four-DOF lumpedparameter model proposed by Boileau and Rakheja [14,17] is used.…”
Section: Lumped-parameter Modelmentioning
confidence: 99%
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“…Sensitivity analysis is performed in a lumped-parameter model consisting of three parts: the vehicle, the seat and the human body in a seated position. For the simulation of the vehicle, a linear quarter-car model consisting of two DOFs is used [16]. The driver's seat is simulated with two DOFs [12]; for the seated human body, the four-DOF lumpedparameter model proposed by Boileau and Rakheja [14,17] is used.…”
Section: Lumped-parameter Modelmentioning
confidence: 99%
“…The sprung and the unsprung masses are connected with a linear spring of stiffness k s = 20,000 N/m and a linear damper with a damping coefficient c s = 2000 Ns/m simulating the passive suspension system of a typical vehicle. The tire stiffness was modeled as a vertical spring with a stiffness coefficient k u = 160,000 N/m, while the tire damping coefficient was considered negligible, and no nonlinearities were considered [16,18].…”
Section: Lumped-parameter Modelmentioning
confidence: 99%
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