Evidence map›Paper›PMID 41949164›Full record

ArticleScience progress2026

Design and control strategy of a heavy-duty independent suspension system based on distributed hydraulic sources.

Zheng ShiCheng, Chen Sijia, Wei Jingkun, Zhu Jihong, Yuan Xiaming

Abstract read
In one paragraph

Article in Science progress, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Zheng ShiChengDepartment of Precision Instrument, Tsinghua University, Beijing, China.
Chen SijiaCollege of Mechanical Engineering, Guangxi University, Nanning, China.ORCID 0009-0006-8743-2456
Wei JingkunSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China.ORCID 0009-0005-2604-8699
Zhu JihongDepartment of Precision Instrument, Tsinghua University, Beijing, China.
Yuan XiamingDepartment of Precision Instrument, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The passive suspension system based on centralized hydraulic sources suffers from prominent issues such as large space occupancy, low energy efficiency, maintenance difficulties, and insufficient overall performance. To address these issues, this paper innovatively proposes design solutions and control strategies for multiple suspension systems based on distributed hydraulic sources, specifically tailored for heavy-duty special wheeled vehicles. A semi-active suspension system is developed based on both PID control strategy and sky-hook control strategy, which enhances suspension performance under the constraints of limited cost and minimal structural changes. A detailed comprehensive performance simulation model is established, and simulation analysis is conducted under different driving states and road surface conditions. The results indicate that the PID control strategy performs better under dynamic operating conditions such as curves, acceleration, and braking, while the sky-hook control strategy performs better when the vehicle traverses on Class C-F road surfaces. To further enhance the suspension system's performance, active and slow-active suspension systems are designed. By actively applying control forces, the limitations of the semi-active suspension, which can only respond passively, are overcome. Through the integration of road surface recognition technology, the systems can sense the road surface conditions ahead in real time and convert them into control commands in a feedforward form. This significantly improves the dynamic performance of the suspension system and reduces the performance requirements on posture stabilization devices for onboard weapons and other equipment. In terms of vehicle body deflection, vehicle body acceleration, and dynamic tire load, the relevant indicators for the active suspension are reduced to 2.5%, 7.2%, and 7.3% of those for the semi-active suspension, respectively, while the relevant indicators for the slow-active suspension are reduced to 46.3%, 31.4%, and 31.5% of those for the semi-active suspension, respectively.

Indexed as

active suspensioncompound control strategydistributed hydraulic sourceshandling stabilityheavy-duty wheeled vehiclesride smoothness

Identifiers

PMID41949164
PMCPMC13065296

What OpenQuestion holds

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LicenceCC BY-NC
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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.