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Zeyu Ma Xuewu Ji James Yang 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2017,55(3):313-337
Accurate lateral load transfer estimation plays an important role in improving the performance of the active rollover prevention system equipped in commercial vehicles. This estimation depends on the accurate prediction of roll angles for both the sprung and the unsprung subsystems. This paper proposes a novel computational method for roll-angle estimation in commercial vehicles employing sensors which are already used in a vehicle dynamic control system without additional expensive measurement units. The estimation strategy integrates two blocks. The first block contains a sliding-mode observer which is responsible for calculating the lateral tyre forces, while in the second block, the Kalman filter estimates the roll angles of the sprung mass and those of axles in the truck. The validation is conducted through MATLAB/TruckSim co-simulation. Based on the comparison between the estimated results and the simulation results from TruckSim, it can be concluded that the proposed estimation method has a promising tracking performance with low computational cost and high convergence speed. This approach enables a low-cost solution for the rollover prevention in commercial vehicles. 相似文献
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Optimal sensor placement on freeway corridor is of great interest to transportation authorities. However, current traffic sensors are easily subject to various failures. Therefore, it is necessary to incorporate sensor failure into the optimal sensor placement model. In this article, a two-stage stochastic model is proposed for the purpose of travel time estimation on freeway corridor. To balance the effectiveness and reliability, a stochastic conditional value at risk (CVaR) model is also proposed. Since both models are too complicated, a customized genetic algorithm is developed. Numerical experiments show that considering sensor failure makes a significant performance improvement in the sensor placement pattern. Sensitivity analysis is also applied to investigate the impact of a number of allowable sensors and different traffic sensor failure probability. 相似文献
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针对SUV车辆在制动情况下出现的操纵性和稳定性变差现象,在CarSim软件中建立了SUV车辆动力学模型,在对开的路面对行驶的紧急制动工况进行了仿真,初步发现防抱死系统对该工况下车辆操纵稳定性的影响最大,为进一步验证,与Simulink结合建立了整车联合仿真模型,将Carsim中SUV制动过程中的制动压力导出至Simulink模型作制动仿真测试,进一步描绘出车轮侧偏角、横移角速度和偏移位移等影响操纵稳定性的参数数值变化曲线,通过分析对比,确定了紧急制动条件下为SUV车辆加装防抱死系统能达到提高操纵稳定性的目标,最终达到安全驾驶的目的。 相似文献
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