Evidence map›Paper›PMID 39431139›Full record

ArticleFundamental research2024

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

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

Abstract read
In one paragraph

Article in Fundamental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Bowei ZhangSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.
Jin HuangSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.
Jianping WangDepartment of Computer Science, City University of Hong Kong, CYC-6223 Hong Kong, China.
Yanzhao SuSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.
Jiaxing LiSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.
Xiangyu WangSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.
Ye-Hwa ChenThe George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Yuhai WangFAW Jiefang Automobile Co., Ltd, China.
Zhihua ZhongSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Active structural transformationMulti-objective optimizationSoftware-defined vehiclesVehicle handling stabilityVehicle ride comfort

Identifiers

PMID39431139
PMCPMC11489496

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.