Evidence map›Paper›PMID 32340225›Full record

ArticleInternational journal of environmental research and public health2020

Research on Energy Management of Hybrid Unmanned Aerial Vehicles to Improve Energy-Saving and Emission Reduction Performance.

Mingliang Bai, Wenjiang Yang, Dongbin Song, Marek Kosuda, Stanislav Szabo, Pavol Lipovsky, Afshar Kasaei

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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. Improving Aviation Safety through Modeling Accident Risk Assessment of Runway.International journal of environmental research and public health · 2020
    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

7 authors.

Mingliang BaiSchool of Astronautics, Beihang University, Beijing 100191, China.
Wenjiang YangSchool of Astronautics, Beihang University, Beijing 100191, China.
Dongbin SongSchool of Astronautics, Beihang University, Beijing 100191, China.
Marek KosudaFaculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovakia.
Stanislav SzaboFaculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovakia.ORCID 0000-0001-6174-5784
Pavol LipovskyFaculty of Aeronautics, Technical University of Kosice, 04121 Kosice, Slovakia.ORCID 0000-0002-6827-242X
Afshar KasaeiSchool of Astronautics, Beihang University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of industry results in large energy consumption and a negative impact on the environment. Pollution of the environment caused by conventional energy sources such as petrol leads to increased demand for propulsion systems with higher efficiency and capable of energy-saving and emission reduction. The usage of hybrid technology is expected to improve energy conversion efficiency, reduce energy consumption and environmental pollution. In this paper, the simulation platform for the hybrid unmanned aerial vehicle (UAV) has been built by establishing the subsystem models of the UAV power system. Under the two chosen working conditions, the conventional cruise flight mission and the terrain tracking mission, the power tracking control and Q-Learning method have been used to design the energy management controller for the hybrid UAV. The fuel consumption and pollutant emissions under each working condition were calculated. The results show that the hybrid system can improve the efficiency of the UAV system, reduce the fuel consumption of the UAV, and so reduce the emissions of CO

Indexed as

AviationConservation of Energy ResourcesGasolineAlgorithmsPhysical PhenomenaGasolineenergy managementenergy-savinghybrid power systemUAV

Identifiers

PMID32340225
PMCPMC7216290

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.