Idle Vibrations Refinement of a Passenger Car

Iyer, Ganesh; Prasanth, B. Venkata; Wagh, Sachin; Hudson, David M.

doi:10.4271/2011-26-0069

Cited by 6 publications

(8 citation statements)

References 1 publication

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“…The vibration of an idling engine was first taken into account for the optimization of engine mounting systems within the frequency range from 6 to 20 Hz [22,23]. The vibrational frequency of an idling engine was found to be mostly determined by the engine's revolutions per minute (RPM) and its number of cylinders [24][25][26]. Generally, the vibrational frequency of a land vehicle caused by an idling engine ranges from 10 to 50 Hz [24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

“…The vibrational frequency of an idling engine was found to be mostly determined by the engine's revolutions per minute (RPM) and its number of cylinders [24][25][26]. Generally, the vibrational frequency of a land vehicle caused by an idling engine ranges from 10 to 50 Hz [24][25][26][27][28]. When the vehicle is in an idling status, the resonant peak at the double dominant frequency is distinct and considerable [24,25].…”

Section: Introductionmentioning

confidence: 99%

“…Generally, the vibrational frequency of a land vehicle caused by an idling engine ranges from 10 to 50 Hz [24][25][26][27][28]. When the vehicle is in an idling status, the resonant peak at the double dominant frequency is distinct and considerable [24,25]. It is worth noting that the IMU data sampling frequency is usually in the range of 100 to 200 Hz; hence, the vibrational frequency caused by an idling engine can be availably reflected with the IMU [2,6,10].…”

Section: Introductionmentioning

confidence: 99%

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Stationary Detection for Zero Velocity Update of IMU Based on the Vibrational FFT Feature of Land Vehicle

Li,

Nie,

Suvorkin

et al. 2024

Remote Sensing

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The inertial navigation system (INS) and global satellite navigation system (GNSS) are two of the most significant systems for land navigation applications. The inertial measurement unit (IMU) is a kind of INS sensor that measures three-dimensional acceleration and angular velocity measurements. IMUs based on micro-electromechanical systems (MEMSs) are widely employed in vehicular navigation thanks to their low cost and small size, but their magnitude and noisy biases make navigation errors diverge very fast without external constraint. The zero-velocity update (ZVU) function is one of the efficient functions that constrain the divergence of IMUs for a stopped vehicle, and the key of the ZVU is the correct stationary detection for the vehicle. When a land vehicle is stopped, the idling engine produces a very stable vibration, which allows us to perform frequency analysis and a comparison based on the fast Fourier transform (FFT) and IMU measurements. Hence, we propose a stationary detection method based on the FFT for a stopped land vehicle with an idling engine in this study. An urban vehicular navigation experiment was carried out with our GNSS/IMU integration platform. Three stops for 10 to 20 min were set to analyze, generate and evaluate the FFT-based stationary detection method. The FFT spectra showed clearly idling vibrational peaks during the three stop periods. Through the comparison of FFT spectral features with decelerating and accelerating periods, the amplitudes of vibrational peaks were put forward as the key factors of stationary detection. For the consecutive stationary detection in the GNSS/IMU integration process, a three-second sliding window with a one-second updating rate of the FFT was applied to check the amplitudes of peaks. For the assessment of the proposed stationary detection method, GNSS observations were removed to simulate outages during the three stop periods, and the proposed detection method was conducted together with the ZVU. The results showed that the proposed method achieved a 99.7% correct detection rate, and the divergence of the positioning error constrained via the ZVU was within 2 cm for the experimental stop periods, which indicates the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stationary Detection for Zero Velocity Update of IMU Based on the Vibrational FFT Feature of Land Vehicle

Li,

Nie,

Suvorkin

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Research on vehicle vibration at engine idle is carried out using simulation or experimental 8 techniques from the aspects including the generation mechanism, 9, 10 vibration source, 11,12 and transfer path. 11,13 The simulation investigations focus on the generation mechanism from a systematic standpoint. A multi-body dynamic model capable of handling non-steady state and non-linear analysis was developed in 9 to predict lowfrequency vibration caused by the powertrain.…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study of Vehicle 1st Order Vibration Improvement at Engine Idle

Shen¹,

Tang²,

Feng³

et al. 2020

The International Journal of Acoustics and Vibration

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An experimental study of the 1st order vibration improvement at engine idle condition of a malfunctional vehicle in development is presented in this work. Firstly, the generation mechanism of the vehicle 1st order vibration problem at engine idle is analyzed based on theoretical analysis. Then, experiments are designed to derive the possible vibration excitation source and transfer path through comprehensive analysis. The powertrain rotational system imbalance exceeding a limit is determined to be the main reason for the vehicle 1st order abnormal vibration. The resonance of the mounting system excited by the powertrain rotational system intensifies the 1st order abnormal vibration. Experimental analyses show that the clutch imbalance severely exceeds the prescribed limit, which confirms the diagnosis of the excitation source, and a significant improvement of about 87% of the 1st order vibration can be achieved by adjusting the clutch imbalance.

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“…For example, structure-borne contribution is related to many factors such as engine inertial forces, engine combustion forces, air conditioner loading, power train rigid body modes, suspension modes, steering column modes, steering wheel modes, flexible modes of the vehicle cabin, exhaust hanger forces and exhaust system modes. Therefore, it is very important to use a systematic methodology involving consistent evaluation/testing methods and CAE validation procedures in order to address power train idle NVH refinement [9]. The effect of vehicle static and dynamic stiffness on the correlation of ride, handling and NVH performance using experiments on the actual vehicles has been addressed in [10].…”

Section: Introductionmentioning

confidence: 99%

The Modelling and Correlation Procedure for Assessment of Vibration Performance of a Heavy Commercial Truck

Şendur¹,

Özcan²

2017

International Journal of Automotive Engineering and Technologies

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Application of mathematical modelling and numerical methods is a key element of optimum vehicle development process. Upfront CAE (Computer Aided Engineering) simulations of vehicle attributes are required to select designs that meet vehicle attribute targets and legal requirements. CAE is an attractive approach to predict and optimize the performance of the vehicle, and to make decisions in terms of attribute trade-offs before the vehicle prototypes are available. Even though there are many commercial software packages available, the task of correlation of the CAE model to vehicle test conditions is not a trivial task. In this paper, a systematic correlation methodology starting from subsystem level to full vehicle level is presented. Full vehicle correlation is demonstrated on Power train Idle NVH evaluation. Correlation results show that simulation model is highly correlated to the subsystem and vehicle level test data and, therefore it can be reliably used in the product development cycle.

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Idle Vibrations Refinement of a Passenger Car

Cited by 6 publications

References 1 publication

Stationary Detection for Zero Velocity Update of IMU Based on the Vibrational FFT Feature of Land Vehicle

Stationary Detection for Zero Velocity Update of IMU Based on the Vibrational FFT Feature of Land Vehicle

An Experimental Study of Vehicle 1st Order Vibration Improvement at Engine Idle

The Modelling and Correlation Procedure for Assessment of Vibration Performance of a Heavy Commercial Truck

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