Effect of driving conditions and suspension parameters on dynamic load-sharing of longitudinal-connected air suspensions

Chen, YiKai; He, Jie; King, Mark; Chen, Wuwei; Zhang, Weihua

doi:10.1007/s11431-012-5091-3

Cited by 24 publications

(20 citation statements)

References 10 publications

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“…This vehicle-road integrated model takes the nonlinearity of the air transmission between the air springs into account, and thus correlates well with the experimental results of field tests. The details of the models and their experimental validation can be found in the previous work of the authors [16]. To avoid repetition, they are not described in this paper.…”

Section: Mathematic Models Of the Tri-axle Semi-trailer And Road Rougmentioning

confidence: 99%

“…Parameters of the longitudinal-connected tri-axle semi-trailer model are tabulated in Table 1. The prototype of the tri-axle semi-trailer with Kenworth Airglide 200 longitudinal-connected air suspension was tested on three typical urban road sections at speeds ranging from 60 km/h to 80 km/h [16]. Strain gauges (one per hub) were mounted on the neutral axis of each axle between the spring and the hub to record the shear force on the hubs, i.e., air spring force, and accelerometers were mounted as closely as possible to each hub and to the corresponding upper positions at the chassis to derive the height of each air spring.…”

Section: Mathematic Models Of the Tri-axle Semi-trailer And Road Rougmentioning

confidence: 99%

“…In these models, isothermal gas compression process was assumed; in addition, the effective areas of the air springs were simplified as constants while the vehicle was travelling. Regarding these issues, a more accurate nonlinear model of a tri-axle longitudinal-connected air suspension was formulated by Chen et al [16,17]. Based on this model, the effects of driving conditions (road class, vehicle speed, and vehicle load) and air suspension parameters (static height and static absolute air pressure of air spring, inside diameters of air line and connector) on dynamic load-sharing were analyzed comprehensively.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Geometric Parameters of Longitudinal-Connected Air Suspension Based on a Double-Loop Multi-Objective Particle Swarm Optimization Algorithm

et al. 2018

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Longitudinal-connected air suspension has been proven to have desirable dynamic load-sharing performances for multi-axle heavy vehicles. However, optimization approaches towards the improvement of comprehensive vehicle performance through the geometric design of longitudinal-connected air suspension have been considerably lacking. To address this, based on a 5-degrees-of-freedom nonlinear model of a three-axle semi-trailer with longitudinal air suspension, taking the changes of driving conditions (road roughness, speed, and load) into account, a height control strategy of the longitudinal-connected air suspension was proposed. Then, in view of the height of the air spring under various driving conditions, the support vector regression method was employed to fit the relationship models between the performance indices and the driving conditions, as well as the suspension geometric parameters (inside diameters of the air line and the connectors). Finally, to tackle the uncertainties of driving conditions in the optimization of suspension geometric parameters, a double-loop multi-objective particle swarm optimization algorithm (DL-MOPSO) was put forward based on the interval uncertainty theory. The simulation results indicate that compared with the longitudinal-connected air suspension using two traditional geometric parameters, the optimization ratios for dynamic load sharing coefficient and root-mean-square acceleration at various spring heights are between −1.04% and 20.75%, and 1.44% and 35.1%, respectively. Therefore, based on the signals measured from the suspension height sensors, through integrated control of inflation/deflation valves of air suspensions, as well as the valves' inside connectors and air lines, the proposed DL-MOPSO algorithm can improve the comprehensive driving performance of the longitudinal-connected three-axle semi-trailer effectively, and in response to changes in driving conditions.

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Section: Mathematic Models Of the Tri-axle Semi-trailer And Road Rougmentioning

confidence: 99%

Section: Mathematic Models Of the Tri-axle Semi-trailer And Road Rougmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Geometric Parameters of Longitudinal-Connected Air Suspension Based on a Double-Loop Multi-Objective Particle Swarm Optimization Algorithm

et al. 2018

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“…Chen et al [8] have presented the model of a tri-axle semi-trailer with interconnected air suspensions and analyses of the effects of suspension parameters on dynamic load-sharing performance of the semi-trailer. Chen et al [9] have extended the previous study including the effects of the driving conditions and the suspension parameters on the dynamic load sharing performance of the three-axle semi-trailer. However, the load sharing characteristics of the interconnected HP suspension systems for heavy vehicles have not been studied to any extend.…”

Section: Introductionmentioning

confidence: 98%

Analysis of Interconnected Hydro-Pneumatic Suspension System for Load Sharing among Heavy Vehicle Axles

Saglam¹,

Ünlüsoy²

2016

Proceedings of the 3rd International Conference of Control, Dynamic Systems, and Robotics (CDSR'16)

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The aim of this study is the modelling and analysis of a Hydro-Pneumatic (HP) suspension system interconnected for load sharing in heavy vehicles. The aim of the interconnected HP suspension system is to equalize the load of the suspension units of the axles in axle group(s) of multi-axle heavy vehicles. For the heavy vehicle systems with three and more axles, equalization of the suspension forces of the axle group(s) is a necessity to protect both the road and the vehicle. A single vehicle unit with three and more axles forms a statically indeterminate problem and the loads carried by each axle depend on the deformation of the axles and the suspension travel. For certain road inputs, some axle loads may become excessive. In this study, the nonlinear mathematical model of a heavy vehicle with interconnected load sharing HP suspension system is derived and the linearized version of the nonlinear model is obtained. Transfer functions of the vehicle system are obtained for frequency response analyses to assess the performance and to carry out a parametric analysis. Simulations are performed using speed bump input and random road inputs. A parametric study is performed to examine the effects of the conductor size connecting the HP suspension units on the load sharing performance.

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“…To achieve the goal of the ride comfort, the optimal design and control of the suspension system had been researched and developed [4,[8][9][10][11]. Besides, to improve the road friendliness, the air suspension systems had been studied for the heavy trucks [2,12,13]. The suspension systems were also controlled to improve the ride comfort performance of the heavy vehicles [2,5].…”

Section: Introductionmentioning

confidence: 99%

Low-frequency vibration analysis of heavy vehicle suspension system under various operating conditions

Le¹,

Nguyen²,

Jiao³

et al. 2020

Math. models, eng.

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To evaluate the acceleration-frequency characteristics of the suspension system of the heavy vehicles, a nonlinear dynamic model of two-axle heavy vehicles is established. A calculation method based on the complex domain is applied to solve the vibration equations of the heavy vehicle in the frequency domain instead of the traditional time domain. Matlab software is then used to calculate the vibration equations under various operating conditions. The research results show that the resonant frequency of the suspension system is not affected by the vehicle speed and the road surface, while it is clearly influenced by the weight of the vehicle and the stiffness of the suspension system. However, the acceleration-frequency characteristics of the vertical vehicle body, pitching vehicle body, and vertical front/read axles are greatly influenced under various operating conditions, especially at the high speed 30 m.s-1 , a wavelength of the road surface 6 m, and 80 % of the vehicle load.

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Effect of driving conditions and suspension parameters on dynamic load-sharing of longitudinal-connected air suspensions

Cited by 24 publications

References 10 publications

Optimization of Geometric Parameters of Longitudinal-Connected Air Suspension Based on a Double-Loop Multi-Objective Particle Swarm Optimization Algorithm

Optimization of Geometric Parameters of Longitudinal-Connected Air Suspension Based on a Double-Loop Multi-Objective Particle Swarm Optimization Algorithm

Analysis of Interconnected Hydro-Pneumatic Suspension System for Load Sharing among Heavy Vehicle Axles

Low-frequency vibration analysis of heavy vehicle suspension system under various operating conditions

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