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Application of Novel Lateral Tire Force Sensors to Vehicle Parameter Estimation of Electric Vehicles

机译:新型轮胎侧向力传感器在电动汽车参数估计中的应用

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摘要

This article presents methods for estimating lateral vehicle velocity and tire cornering stiffness, which are key parameters in vehicle dynamics control, using lateral tire force measurements. Lateral tire forces acting on each tire are directly measured by load-sensing hub bearings that were invented and further developed by NSK Ltd. For estimating the lateral vehicle velocity, tire force models considering lateral load transfer effects are used, and a recursive least square algorithm is adapted to identify the lateral vehicle velocity as an unknown parameter. Using the estimated lateral vehicle velocity, tire cornering stiffness, which is an important tire parameter dominating the vehicle’s cornering responses, is estimated. For the practical implementation, the cornering stiffness estimation algorithm based on a simple bicycle model is developed and discussed. Finally, proposed estimation algorithms were evaluated using experimental test data.
机译:本文介绍了使用横向轮胎力测量来估算横向车辆速度和轮胎转弯刚度的方法,这是车辆动力学控制中的关键参数。由NSK Ltd发明并进一步开发的负载感应轮毂轴承直接测量作用在每个轮胎上的横向轮胎力。为了估算横向车辆速度,使用考虑了横向负载传递效应的轮胎力模型,并采用递归最小二乘算法适于将横向车辆速度识别为未知参数。使用估算的横向车辆速度,可以估算轮胎转弯刚度,这是支配车辆转弯响应的重要轮胎参数。对于实际的实现,开发并讨论了基于简单自行车模型的转弯刚度估计算法。最后,使用实验测试数据对提出的估计算法进行了评估。

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