2017
DOI: 10.1177/0954407017745748
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Parametric identification study of an active engine mount: Combination of finite element analysis and experiment

Abstract: An active engine mount (AEM) is an effective technology to improve a vehicle’s noise, vibration, and harshness performance. This paper mainly focuses on the combination experiment and finite element analysis (FEA) for parameter identification of AEMs. Notably, a novel test rig is designed to identify all specific parameters involved in the AEM. Firstly, the static and dynamic stiffness of the main rubber spring are calculated based on structure FEA method. The equivalent piston area and upper chamber volumetri… Show more

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Cited by 12 publications
(14 citation statements)
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“…e curve shapes of test in this paper are consistent with those of the test for measurement of the amplitude and phase of the secondary path of AEM carried out by Hausberg et al [24]. erefore, the difference between simulation and experimental results in this paper is mainly caused by the stiffness of the moving coil actuator in the proposed secondary path model, which is validated by the parameter effect analysis shown in Figure9(a)in Section 4.2. e measured value of the stiffness of the moving coil actuator is obtained by parameter identification test, which can be validated in the papers [24,38]. erefore, there is difference between the measured value obtained by parameter identification test and the actual value k eq,a in the proposed secondary path model.…”
Section: Parameter Identification and Simulation Validationmentioning
confidence: 78%
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“…e curve shapes of test in this paper are consistent with those of the test for measurement of the amplitude and phase of the secondary path of AEM carried out by Hausberg et al [24]. erefore, the difference between simulation and experimental results in this paper is mainly caused by the stiffness of the moving coil actuator in the proposed secondary path model, which is validated by the parameter effect analysis shown in Figure9(a)in Section 4.2. e measured value of the stiffness of the moving coil actuator is obtained by parameter identification test, which can be validated in the papers [24,38]. erefore, there is difference between the measured value obtained by parameter identification test and the actual value k eq,a in the proposed secondary path model.…”
Section: Parameter Identification and Simulation Validationmentioning
confidence: 78%
“…e structural and performance parameter identification methods for the semi-AEM [35,36], moving coil actuator [37], and AEM [16,30,38] mainly include the finite element analysis and experimental evaluation. e elastomeric model is frequency-dependent and preload-dependent [39,40].…”
Section: Parameter Identification and Simulation Validationmentioning
confidence: 99%
“…Its gain depends on the stroke of the MA and the relative displacement between the engine and the sprung mass. According to the references [35][36][37], it is assumed that the maximum value of the relative displacement between the engine and the sprung mass is 0.4mm, and the free stroke of the MA in section 5.1 is ±50μm, so take = 8. The other part is the model of the two-degree-of-freedom active mounting system, which is established using equations (14), (24), (25) and (26) based on the derived x-LMS algorithm with state feedback and Sage-Husa Kalman filter.…”
Section: Simulation Of Two-degree-of-freedom Active Mounting Systemmentioning
confidence: 99%
“…Active mount is driven by external power and has good vibration isolation performance in broadband environment. However, its complex structure, high energy consumption and high cost restrict its extensive application in the industrial field (Guo et al, 2019). Semi-active mount uses magnetorheological (MR) fluid, electro-rheological (ER) fluid and MR fluid elastomer and shows controllable damping/stiffness characteristics in magnetic field or electric field, which can control the transfer and vibration displacement (Ruan, 2017;Wang, 2017).…”
Section: Introductionmentioning
confidence: 99%