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Advances in Electrical Drive Systems and Automatic Control of Electric...
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Advances in Electrical Drive Systems and Automatic Control of Electric Vehicles

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: closed (17 February 2024) | Viewed by 1633

Special Issue Editor

Prof. Dr. Xuan Wu

E-Mail Website
Guest Editor
School of Electrical and Electronic Engineering, Hunan University, Changsha 410082, China
Interests: power electronics; power transmission; special vehicle electric drive technology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, with the proliferating demand for a sustainable and carbon-neutral economy, electric vehicles have proven to be an ideal technology for the future. As a key enabling component of electric vehicles, electric machines face urgent demands for high density, efficiency and an adequate speed range in order to satisfy the requirements of electric vehicles. Therefore, in order to provide high safety and flexibility, further research involving the motor design, power electronic topology, and control of electric vehicles is required in order to enhance their performance. These above innovations will inevitably promote the development of the electric vehicle industry.

The Guest Editor of Energies welcomes researchers working within the field to contribute to this Special Issue entitled "Electrical Drive Systems and Automatic Control of Electric Vehicles". The aim of this Special Issue is to present and disseminate the latest research concerning the design, modeling, optimization, topology and automatic control of electric machines and electric vehicles. It provides a platform for researchers and experts to discuss their innovative solutions to overcome the challenges present in the field of electric drive systems and electric vehicles. Topics of interest include, but are not limited to, the following:

Electric machines design and optimization;

Power electronics;

Wireless charging systems;

Energy management systems;

Artificial intelligence in electric vehicles;

Safety assessment for electric vehicles;

Advanced control in electric machines and electric vehicles

Dr. Xuan Wu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electric machine
  • electric vehicles
  • power electronics
  • wireless charging systems
  • safety assessment

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Published Papers (1 paper)

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Research

15 pages, 10470 KiB  
Article
Inverse Design of Axis Fan for Permanent Magnet Drive Motor for Special Vehicles
by Changjun Ma, Chunming Li, Kai Liu, Zhixiang He, Daqian Pang and Wei Hua
Energies 2023, 16(23), 7685; https://doi.org/10.3390/en16237685 - 21 Nov 2023
Viewed by 1266
Abstract
The control of mechanical energy loss is especially key in the design of permanent magnet drive motors for special vehicles. This paper takes a 300 kW high-efficiency motor as an example, and under the operating condition of 9000 rev/min, in order to control [...] Read more.
The control of mechanical energy loss is especially key in the design of permanent magnet drive motors for special vehicles. This paper takes a 300 kW high-efficiency motor as an example, and under the operating condition of 9000 rev/min, in order to control the size of the mechanical loss Pmech, improve the efficiency of the motor, as well as enhance the ventilation and heat dissipation performance of the motor, the structural parameters of the motor’s Axis fan are identified by using the Reverse Engineering (RE), and the fan performance is simulated and analysed by using the standard k-ε turbulence model of Computational Fluid Dynamics. The mechanical loss calculation model is investigated, and the effects of different blade numbers, wrap angles, and mounting angle parameters of the fan on the mechanical loss Pmech are derived. And finally, the scheme is calculated to show that when the blade number Z is 13, the wrap angle Δφ is 60°, the front mounting angle Φ1 is 45°, and the rear mounting angle Φ2 is 30°, the mechanical loss Pmech decreases from 8.0 kW to 2.54 kW, and the motor efficiency η0 is greatly improved, increasing from 94.2% to 96.1%. Meanwhile, based on finite element simulation experiments, the effects of the motor Axis fan on the steady-state temperature field of the pre-optimised and post-optimised fans are compared, and the optimised axis fan makes the motor ventilation and heat dissipation more reasonable. The maximum temperature of the motor under the same working condition decreased by 16.7 K, the efficiency η0 of this motor was greatly improved, and the efficiency η0 increased from 94.2% to 96.1%. Full article
(This article belongs to the Special Issue Advances in Electrical Drive Systems and Automatic Control of Electric Vehicles)
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