Evidence map›Paper›PMID 38463815›Full record

ArticleHeliyon2024

Dynamic coordinated control strategy of a dual-motor hybrid electric vehicle based on clutch friction torque observer.

Qicheng Xue, Xin Zhang, Hongwei Chen, Meiling Yue, Teng Teng, Jiangbin Yu

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

6 authors.

Qicheng XueBeijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Xin ZhangBeijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Hongwei ChenBeijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Meiling YueBeijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Teng TengBeijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Jiangbin YuBeijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hybrid power system with dual motors and multiple clutches experiences significant torque fluctuation during mode switching process due to the different torque response characteristics of the motor and engine. To address this issue, this paper focuses on the estimation of clutch friction torque and the development of dynamic coordinated control strategies for the components. Firstly, based on the dynamic model of the novel dual-motor hybrid electric vehicle, a torque observer based on the Kalman filter algorithm is developed to predict the friction torque generated in the clutch sliding friction stage. Secondly, the control strategies are developed for the mode switching process from single-motor to dual-motor and from dual-motor to parallel drive on a co-simulation platform. Thirdly, a power level Hardware-In-the-Loop test platform is built, and the performance of the designed control strategies is verified by the HIL platform. The results show that for the mode switching process from dual-motor to parallel drive, compared with the control strategy using the engine target speed, the control strategy based on engine idle speed proposed in this paper reduces the clutch sliding friction work and the maximum longitudinal jerk of the vehicle by 42.5% and 25.4%, respectively.

Indexed as

Clutch friction torqueDynamic coordinated control strategyHybrid electric vehicleKalman filter algorithmMode switching

Identifiers

PMID38463815
PMCPMC10923726

What OpenQuestion holds

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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.