Evidence map›Paper›PMID 40096378›Full record

ArticleSensors (Basel, Switzerland)2025

Fault-Tolerant Collaborative Control of Four-Wheel-Drive Electric Vehicle for One or More In-Wheel Motors' Faults.

Han Feng, Yukun Tao, Jianbo Feng, Yule Zhang, Hongtao Xue, Tiansi Wang, Xing Xu, Peng Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Review
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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

8 authors.

Han FengSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
Yukun TaoSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0009-0001-1793-1149
Jianbo FengThe 60th Research Institute of CRTC, Nanjing 210016, China.
Yule ZhangAnhui Jianghuai Automobile Group Corp., Ltd., Hefei 230022, China.
Hongtao XueSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
Tiansi WangSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
Xing XuInternational Joint Laboratory on Mobility Equipment and Artificial Intelligence for IT Operations, Zhenjiang 212000, China.
Peng ChenGraduate School of Bioresources, Mie University, Tsu 514-8507, Japan.

Funding

National Natural Science Foundation of China 51775245Natural Science Foundation of Jiangsu Province BK20210765Open Platform Fund of Hunan Institute of Technology KFA22009Science and Technology Plan Project of Zhenjiang CQ2022004
6 · The paper itself

Abstract

A fault-tolerant collaborative control strategy for four-wheel-drive electric vehicles is proposed to address hidden safety issues caused by one or more in-wheel motor faults; the basic design scheme is that the control system is divided into two layers of motion tracking and torque distribution, and three systems, including driving, braking, and front-wheel steering are controlled collaboratively for four-wheel torque distribution. In the layer of motion tracking, a vehicle model with two-degree-of-freedom is employed to predict the control reference values of the longitudinal force and additional yaw moment required; four types of sensors, such as wheel speed, acceleration, gyroscope, and steering wheel angle, are used to calculate the actual values. At the torque distribution layer, SSOD and MSCD distribution schemes are designed to cope with two operating conditions, namely sufficient and insufficient output capacity after local hub motor failure, respectively, focusing on the objective function, constraints, and control variables of the MSCD control strategy. Finally, two operating environments, a straight-line track, and a DLC track, are set up to verify the effectiveness of the proposed control method. The results indicate that, compared with traditional methods, the average errors of the center of mass sideslip angle and yaw rate are reduced by at least 12.9% and 5.88%, respectively, in the straight-line track environment. In the DLC track environment, the average errors of the center of mass sideslip angle and yaw rate are reduced by at least 6% and 4.5%, respectively. The proposed fault-tolerant controller ensures that the four-wheel-drive electric vehicle meets the requirements of handling stability and safety under one or more hub motor failure conditions.

Indexed as

fault-tolerant collaborative controlfour-wheel drive electric vehiclein-wheel motormulti-system collaboration distribution

Identifiers

PMID40096378
PMCPMC11902448

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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.