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软件定义的车辆能永不翻车吗:主动结构转变视角

Can software-defined vehicles never roll over: A perspective of active structural transformation.

作者信息

Zhang Bowei, Huang Jin, Wang Jianping, Su Yanzhao, Li Jiaxing, Wang Xiangyu, Chen Ye-Hwa, Wang Yuhai, Zhong Zhihua

机构信息

School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.

Department of Computer Science, City University of Hong Kong, CYC-6223 Hong Kong, China.

出版信息

Fundam Res. 2024 Jul 31;4(5):1063-1071. doi: 10.1016/j.fmre.2023.12.024. eCollection 2024 Sep.

DOI:10.1016/j.fmre.2023.12.024
PMID:39431139
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11489496/
Abstract

The revolution of physical structure is highly significant for future software defined vehicles (SDV). Active structural transformation is a promising feature of the next generation of vehicle physical structure. It can enhance the dynamic performance of vehicles, thus providing safer and more comfortable ride experiences, such as the ability to avoid rollover in critical situations. Based on the active structural transformation technology, this study proposes a novel approach to improve the dynamic performance of a vehicle. The first analytical motion model of a vehicle with active structural transformation capability is established. Then, a multi-objective optimization problem with the adjustable parameters as design variables is abstracted and solved with an innovative scenario specific optimization method. Simulation results under different driving scenarios revealed that the active transformable vehicle applying the proposed method could significantly improve the handling stability without sacrificing the ride comfort, compared with a conventional vehicle with a fixed structure. The proposed method pipeline is defined by the software and supported by the hardware. It fully embodies the characteristics of SDV, and inspires the improvement of multiple types of vehicle performance based on the concept of "being defined by software" and the revolution of the physical structure.

摘要

物理结构的变革对未来的软件定义车辆(SDV)具有重大意义。主动结构转换是下一代车辆物理结构的一个有前景的特性。它可以提高车辆的动态性能,从而提供更安全、更舒适的驾乘体验,比如在危急情况下避免翻车的能力。基于主动结构转换技术,本研究提出了一种提高车辆动态性能的新方法。建立了具有主动结构转换能力的车辆的首个解析运动模型。然后,以可调整参数作为设计变量抽象出一个多目标优化问题,并采用一种创新的特定场景优化方法进行求解。不同驾驶场景下的仿真结果表明,与具有固定结构的传统车辆相比,应用所提方法的主动可转换车辆在不牺牲乘坐舒适性的情况下,能够显著提高操纵稳定性。所提方法流程由软件定义并由硬件支持。它充分体现了软件定义车辆的特性,并基于“由软件定义”的概念和物理结构的变革激发了多种车辆性能的提升。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/169b7cd0365a/gr9.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/169b7cd0365a/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/8df1b3dd49f5/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/bb85b41fc9f0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/5e4facae6e10/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/ebcb38014602/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/b07ead395e0b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/7666e2116647/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/ffebe588c9df/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/33ce27470e14/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/447e45e6429d/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a0/11489496/169b7cd0365a/gr9.jpg

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