Explicit solution to the nonlinear geometry of double wishbone suspension by decoupling steering and wheel jumping DOF

Zhihua Niu, Shaoxun Liu, Boyuan Li, Zheng Pan, Rongrong Wang
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Abstract

The suspension system is vital to vehicle performance because it undertakes most of the interactions between wheels and the vehicle body. Due to the significant geometric nonlinearity, there is still a gap of suitable suspension models that are both accurate and computationally efficient. To solve the problem, this paper proposes an explicit solution to the nonlinear geometry of double wishbone suspension by decoupling steering and wheel jumping degrees of freedom (DOF). By discarding the small displacement assumption in the derivation process, the new model gets rid of repeated numerical iterations, resulting in substantial enhancement in computational efficiency. Furthermore, it is noticed in the comparative study that the proposed model can achieve the same level of accuracy as Adams. Benefiting from high computational efficiency and accuracy, the decoupling model presented is successfully used in the optimal design of a double wishbone suspension for smaller variation ranges of wheel alignment parameters. It is anticipated that the research will make significant contribution to fast dimension design of suspension geometry and real-time control of active variable geometry suspensions.
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通过解耦转向和车轮跳动 DOF 来显式解决双叉臂悬架的非线性几何问题
悬架系统对车辆性能至关重要,因为它承担了车轮与车身之间的大部分相互作用。由于悬架系统具有明显的几何非线性,因此目前仍缺少既精确又具有计算效率的合适悬架模型。为了解决这个问题,本文通过解耦转向和车轮跳动自由度(DOF),提出了双叉臂悬架非线性几何的显式解决方案。通过摒弃推导过程中的小位移假设,新模型摆脱了反复的数值迭代,从而大大提高了计算效率。此外,对比研究还发现,所提出的模型可以达到与亚当斯模型相同的精度水平。得益于较高的计算效率和精度,所提出的解耦模型成功地应用于车轮定位参数变化范围较小的双叉臂悬架优化设计。预计该研究将为悬架几何形状的快速尺寸设计和主动可变几何悬架的实时控制做出重大贡献。
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