Rollover Stability Dynamic Analysis of Passenger Vehicle in Moving Conditions

Nguyen, Xuan Ngoc; Tran, Thanh Tam

doi:10.18280/mmep.100116

Cited by 3 publications

(5 citation statements)

References 21 publications

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“…Besides, the dynamic model of the vehicle is built on the basis of the roll model [20] and the independent oscillation model on an axis in the horizontal plane passing through the wheel center, unaffected by the excitation of the road surface. Sprung mass mS is the mass part placed on the suspension system, including the tank without liquid and the chassis.…”

Section: Figure 2 Lateral Acceleration Input As Lane Change Maneuvermentioning

confidence: 99%

Active Suspension with PID Control for Enhanced Rollover Stability in Liquid Tank Trucks

Nguyen,

Tran,

et al. 2024

JESA

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The enhancement of rollover stability in vehicles, particularly in liquid tank trucks, is imperative for reducing the risk of vehicular rollovers and consequent threats to human life and property. The dynamic behavior of the liquid within the tank during maneuvers such as turning or lane-changing plays a significant role in the vehicle's stability. It has been demonstrated that the implementation of a Proportional Integral Derivative (PID) controller within the stabilizer bar of an active suspension system can substantially mitigate the vehicle's propensity to roll. This mitigation is quantitatively evidenced by reductions in the lateral load transfer ratio (LTR) and the roll angle (TRA) of the suspension system. Specifically, during steady turning maneuvers, a decrease of 5.6% in LTR and 12.9% in TRA was observed for liquid levels deemed most hazardous at heights of 1.2m and 1.6m, respectively. Similarly, during lane-changing maneuvers, LTR was reduced by 6.2%, and TRA was decreased by 9.1% at critical liquid levels of 0.8m and 1.6m. These analytical outcomes were derived through the application of the Lagrange method and the quasi-static method for establishing the fluid vibration equation within the tank, supplemented by D'Alembert's principle in constructing a four Degrees of Freedom (DOFs) roll model for the differential equation system of vehicle motion. This research underpins the foundational principles for the design, manufacture, and enhancement of suspension systems, and elucidates the direction for future investigations into tank trucks transporting various liquid types.

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Section: Figure 2 Lateral Acceleration Input As Lane Change Maneuvermentioning

confidence: 99%

Active Suspension with PID Control for Enhanced Rollover Stability in Liquid Tank Trucks

Nguyen,

Tran,

et al. 2024

JESA

View full text Add to dashboard Cite

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“…In this study, the author uses the Pacejka tire model to determine the values of F x , F y , and M z [56]. The symbols for Eqs (12), (13), and ( 14) should be referred to in [56].…”

Section: A Vehicle Modelmentioning

confidence: 99%

“…The structure of the chassis needs to be properly calculated to help optimize the mass distribution of passengers and cargo [11]. Vehicle dimensions, such as, track width, the height of the center of gravity, etc., play an essential role in deciding when to experience the phenomenon of rolling over [12]. Even the effect of the kingpin angle can be considered if a more accurate assessment of rollover models is desired [13].…”

Section: Introductionmentioning

confidence: 99%

An original fuzzy control approach for active anti-roll bars to prevent rollover

Nguyen

2023

PLoS ONE

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In this article, the author introduces a new fuzzy control solution to direct active anti-roll bars (hydraulic stabilizer bars) in order to enhance the vehicle’s roll stabilization efficiency. The original fuzzy algorithm designed in this work can satisfy all the roll stability, comfort, and response speed requirements, while previous algorithms could only meet one of these criteria. In addition, a fully dynamic model is established to simulate the vehicle’s roll oscillations instead of only using a simple half-dynamic model combined with the single-track dynamic model. The calculation and simulation processes take place in the Simulink environment. Two cases of steering are used as input to the simulation problem; the car’s speed is gradually increased through three levels. According to results of research, the roll angle and roll index of the car increase as the speed and steering angle increase. The interaction between the road and wheel decreases sharply as the roll angle increases, which can lead to a rollover. In the first case, the rollover occurs only when the car travels at v3 without the stabilizer bar and has a maximum roll angle of 9.81°. In the second case, this occurs for the (None) situation when traveling at speed v1 with a maximum roll angle of 9.52° and for the (Passive) situation when traveling at speed v2 with a peak value of 11.93°. Meanwhile, the vehicle’s stability is still well guaranteed when utilizing active anti-roll bars controlled by an original fuzzy algorithm.

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“…Numerous researchers have published studies predicting lateral instability and rollover in the last few years. In [11],…”

Section: Introductionmentioning

confidence: 99%

“…According to the article's content [11], these graphs described the dependence between maximum roll angle, the distance from the CG to the RA (roll axis), velocity, and minimum vertical force. The idea of using a limited roll angle to evaluate the rollover phenomenon was also mentioned in [12] by Nguyen et al There were many methods used to estimate and predict the vehicle roll angle, such as neural estimation in the MPC (model predictive control) system [13], an intelligent algorithm [14], a neural network [15], etc.…”

Section: Introductionmentioning

confidence: 99%

Development of a Fuzzy Algorithm With Multiple Inputs for the Active Stabilizer Bar to Improve Vehicle Stability When Steering

Nguyen

2023

IEEE Access

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In this article, the author discusses the issue of vehicle roll instability when steering at high speeds. Installing an active stabilizer bar in a car is recommended to prevent it from rolling over and make it more stable when it does. A complex dynamic model is set up to evaluate and analyze vehicle oscillations. Besides, a fuzzy algorithm with three independent inputs is used to control the operation of the active stabilizer bar. This algorithm uses three separate inputs derived from the vehicle's oscillating signals.In addition, the membership function and fuzzy rule are designed to ensure that the quality and efficiency of the system are well-maintained and stable. This is an entirely new method, which is rarely used for complex models of cars. Numerical simulation is carried out in a Simulink environment with many specific cases and situations. According to research findings, the roll angle of the vehicle body increases as the speed increases. This causes a greater change in wheel dynamics force and increases the risk of rollover. If the car is equipped with an active stabilizer bar controlled by the fuzzy algorithm with three inputs, these problems are significantly reduced compared to all other situations. So, when this new algorithm is added to the active stabilizer bar, the car's stability and safety can improve even.

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Rollover Stability Dynamic Analysis of Passenger Vehicle in Moving Conditions

Cited by 3 publications

References 21 publications

Active Suspension with PID Control for Enhanced Rollover Stability in Liquid Tank Trucks

Active Suspension with PID Control for Enhanced Rollover Stability in Liquid Tank Trucks

An original fuzzy control approach for active anti-roll bars to prevent rollover

Development of a Fuzzy Algorithm With Multiple Inputs for the Active Stabilizer Bar to Improve Vehicle Stability When Steering

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