Air Suspension System Model Coupled With Leveling and Differential Pressure Valves for Railroad Vehicle Dynamics Simulation

Nakajima, Toshihisa; Shimokawa, Yoshiyuki; Mizuno, Masaaki; Sugiyama, Hiroyuki

doi:10.1115/1.4026275

Cited by 23 publications

(18 citation statements)

References 6 publications

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“…Equivalent mechanical models have been proposed such as that by Berg [21], but recently thermodynamic models are being increasingly used. These latter models provide a general and flexible representation of the pneumatic suspension [62,146]. A discussion of alternative models for air springs and a procedure to define the parameters of the model based on laboratory tests is presented in [132].…”

Section: Model Of Suspension Componentsmentioning

confidence: 99%

State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches

et al. 2020

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A review of the current use of multibody dynamics methods in the analysis of the dynamics of vehicles is given. Railway vehicle dynamics as well as road vehicle dynamics are considered, where for the latter the dynamics of cars and trucks and the dynamics of single-track vehicles, in particular motorcycles and bicycles, are reviewed. Commonalities and differences are shown, and open questions and challenges are given as directions for further research in this field.

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Section: Model Of Suspension Componentsmentioning

confidence: 99%

State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches

et al. 2020

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“…[7][8][9][10][11][12][13][14][15][16][17] These air spring models are classified into equivalent mechanical spring-damper models 8,9,13,14 and thermodynamic models. [10][11][12][15][16][17] While equivalent mechanical model can be integrated in existing multibody railway vehicle models in a straightforward manner and can also be used for suspension control design, 13,14 the spring model is characterized around the equilibrium state and transient changes of the air mass flow cannot be considered. Thermodynamic models, on the other hand, can account for highly nonlinear air spring characteristics and are defined in terms of the spring mass flow as the first-order differential equations being integrated in the equations of motion of a railway vehicle model.…”

Section: Introductionmentioning

confidence: 99%

“…10 The LV mass flow rate can also be directly interpolated from the test data. 15,17 Accordingly, an air suspension system model considering experimentally identified airflow characteristics of LV and DPVs is developed and validated for use in multibody vehicle dynamics simulations in Nakajima et al 17 On the other hand, despite many studies on air spring models for railway vehicle dynamics simulations, it has not been well understood how the initial LV lever angle setting and the airflow characteristics impact the cause of residual wheel load unbalance occurring in small radius curved tracks. 6 There have been no studies aiming to quantitatively predict and examine the residual wheel load unbalance induced by LVs of railway air suspension systems.…”

Section: Introductionmentioning

confidence: 99%

Prediction of railway wheel load unbalance induced by air suspension leveling valves using quasi-steady curve negotiation analysis procedure

Tanaka

Sugiyama

2019

Proceedings of the Institution of Mechanical Engineers, Part K:

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While air suspensions are widely utilized for passenger railway vehicles as secondary suspension, initial lever angle setting of the air spring levelling valve can make a non-negligible impact on the residual wheel load unbalance in curve negotiation on small radius curved tracks. To enable accurate and quick prediction of the levelling valve-induced residual wheel load unbalance for vehicle safety evaluation, this study proposes a new quasi-steady curve negotiation analysis procedure considering the detailed thermodynamic air suspension system model that accounts for the nonlinear airflow characteristics of levelling valve and differential pressure valves. This approach allows for eliminating a limitation of existing full dynamic simulation models associated with high computational intensity that prevents quick safety evaluation with long-distance simulation under actual railway operating scenarios. A co-simulation scheme for the quasi-steady vehicle motion solver is also proposed to further improve the computational efficiency with explicit force–displacement coupling. Several numerical examples are presented to demonstrate the proposed quasi-steady vehicle motion solver for prediction of levelling valve-induced residual wheel load unbalances in small radius curved tracks. The numerical results are compared with those of the dynamic simulation model and validated against the test data. It is demonstrated that computational time is substantially decreased by the proposed approach while accurately predicting the levelling valve-induced residual wheel load unbalance caused by the initial offset of lever angles on small radius curved tracks.

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“…It has been widely used in commercial vehicles [8], railway vehicles [9], passenger vehicles [10] and agricultural machines [11,12] because of its advantages of adjustable stiffness and height. In the past few years, the research on air suspension systems has mainly focused on three aspects: air suspension analysis modeling [13][14][15][16][17], electronic control system [18][19][20][21][22] and vehicle height control algorithms [23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm

Gao¹,

Chen²,

Zhao³

et al. 2018

Energies

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In this paper, a static state observer algorithm based on the static equilibrium position is proposed, which can realize accurate control of electric vehicle height adjustment with existing road excitation. The existence of road excitation can lead to deflection variation of the electronically controlled air suspension (ECAS). The use of only dynamic deflection as the reference for the electric vehicle height adjustment will produce great errors. Therefore, this paper provides an observation algorithm, which can realize the accurate control of vehicle height. Firstly, the static equilibrium position equation of suspension is derived according to the theory of hydrodynamics and characteristics of pneumatic chamber. Secondly, a vehicle dynamics model with seven degrees of freedom (7-DOF) is established and the kinetic equations are discretized. Then, the unscented Kalman filter (UKF) algorithm is used to obtain the static equilibrium position of vehicle. According to the vehicle static equilibrium position obtained by UKF, the height of the vehicle is adjusted by using a fuzzy controller. The simulation and experimental results show that this proposed algorithm can realize the control of vehicle height with an accuracy of over 96%, which ensures the excellent driving performance of vehicles under different road conditions.

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Air Suspension System Model Coupled With Leveling and Differential Pressure Valves for Railroad Vehicle Dynamics Simulation

Cited by 23 publications

References 6 publications

State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches

State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches

Prediction of railway wheel load unbalance induced by air suspension leveling valves using quasi-steady curve negotiation analysis procedure

Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm

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