Evidence map›Paper›PMID 40044798›Full record

ArticleScientific reports2025

Advanced methodology for maximum torque point tracking of hybrid excitation PMSM for EVs.

Mahmoud M Elymany, Nadia A Elsonbaty, Aymen FLah, Lukas Prokop, Habib Kraiem, Mohamed A Enany, Ahmed A Shaier

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Mahmoud M ElymanyElectrical Power and Machines Department, Faculty of Engineering, Zagazig University, Zagazig, 44519, Egypt.
Nadia A ElsonbatyElectrical Power and Machines Department, Faculty of Engineering, Zagazig University, Zagazig, 44519, Egypt.
Aymen FLahProcesses, Energy, Environment, and Electrical Systems, National Engineering School of Gabès, University of Gabès, Gabès, Tunisia.
Lukas ProkopENET Centre, CEET, VSB-Technical University of Ostrava, Ostrava, 708 00, Czech Republic.
Habib KraiemCenter for Scientific Research and Entrepreneurship, College of Engineering, Northern Border University, 73213, Arar, Saudi Arabia. ahmshaier@gmail.com.
Mohamed A EnanyElectrical Power and Machines Department, Faculty of Engineering, Zagazig University, Zagazig, 44519, Egypt.
Ahmed A ShaierElectrical Power and Machines Department, Faculty of Engineering, Zagazig University, Zagazig, 44519, Egypt.

Funding

European Union's Horizon Mission Programme 101139527
6 · The paper itself

Abstract

This manuscript presents an innovative control strategy for the Hybrid Excitation Permanent Magnet Synchronous Motor (HEPMSM) designed for electric vehicle (EV) applications. The strategy combines Maximum Torque Point Tracking (MTPT) and Maximum Torque Per Ampere (MTPA) techniques to track the ideal torque-speed profile, ensuring maximum torque at low speeds for starting and climbing, and high power at higher speeds for cruising. A novel unidirectional excitation current method is proposed to replace traditional bidirectional field current control, eliminating the risk of permanent magnet demagnetization, reducing copper losses, and increasing efficiency. This approach extends the constant power (CP) region by a 4.2:1 ratio. The manuscript also introduces a detailed mathematical model, considering both iron core losses and their impact on the EV profile. Additionally, the Multi-Objective Ant Lion Optimizer (MOALO) algorithm is used in two stages: first to optimize the hybridization ratio (HR) and base speed (N

Indexed as

Ant lion optimization algorithmElectric vehicleHybrid excitation permanent magnet synchronous motorHybridization ratio

Identifiers

PMID40044798
PMCPMC11882846

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.