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Energies
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Innovation in Motor Drive Systems for Electric Vehicles
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Innovation in Motor Drive Systems for Electric Vehicles

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

Deadline for manuscript submissions: 30 June 2024 | Viewed by 3454

Special Issue Editors

Dr. Lefei Ge

E-Mail Website
Guest Editor
School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
Interests: motor optimization design and control; motor systems (electric vehicles, aerospace, high-speed rail, etc.); new energy power generation systems
Dr. Dianxun Xiao

E-Mail Website
Guest Editor
Sustainable Energy and Environment Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, China
Interests: AC motor drives; reluctance motor drives
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Guoqiang Zhang

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Interests: AC motor drives; sensorless field-oriented control of synchronous motor drives

Special Issue Information

Dear Colleagues,

Transport and vehicular travel are essential for socio-economic growth, as they enable the operation of cities and businesses. However, a large percentage of the transport sector still relies on internal combustion engine vehicles, causing greenhouse gases and air pollution to continuously increase. Additionally, the transport sector has become the largest energy consumer after the industrial sector. The appearance of electric vehicles offers a promising solution to this global problem. As a result, the optimization of the electric vehicle powertrain is a key area, and the motor drive system is a major component of the powertrain. The rapid development of electric vehicles has brought about higher requirements regarding the performance of motor drive systems. This has contributed to the advancement of materials, design methods, topologies, and manufacturing processes for electric machines, which require high compactness, high efficiency, high power density, and high reliability. On the other hand, the employment of motor drive systems in more critical applications demands more advanced control methods that are robust and effective.

This Special Issue is aimed at collecting the latest theoretical and technological ideas for the better development of motor drive systems in electric vehicles. Optimization design methods, new analyzing and modeling methods, advanced control strategies, and novel converter topologies are strongly welcome. Topics of interest for publication include, but are not limited to:

  • Topic A: optimization design methods of motors for electric vehicles;
  • Topic B: new analyzing and modeling methods of motors for electric vehicles;
  • Topic C: advanced control strategies of motor drive systems in electric vehicles;
  • Topic D: novel converter topologies of motor drive systems in electric vehicles;
  • Other related topics, such as literature reviews, fault diagnosis, position estimation, and industrial applications of motors for electric vehicles.

Dr. Lefei Ge
Dr. Dianxun Xiao
Prof. Dr. Guoqiang Zhang
Guest Editors

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 machines
  • electric vehicles
  • motor modeling
  • motor design
  • motor control
  • fault diagnosis
  • position estimation
  • parameter identification

Published Papers (3 papers)

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Research

13 pages, 7703 KiB  
Article
Dead-Time Compensation Using ADALINE for Reduced-Order Observer-Based Sensorless SynRM Drives
by Liangnian Lv, Ziyuan Wang, Xinru Zhao, Rui Guo, Jinpeng Wang, Gaolin Wang and Shulin Li
Energies 2024, 17(7), 1693; https://doi.org/10.3390/en17071693 - 2 Apr 2024
Viewed by 407
Abstract
The inverter dead time effect is non-negligible for the control performance of sensorless synchronous reluctance motor (SynRM) drives at low speeds. In this paper, a reduced-order observer-based sensorless control method for SynRM drives combined with the adaptive linear neurons (ADALINE)-based dead-time compensation is [...] Read more.
The inverter dead time effect is non-negligible for the control performance of sensorless synchronous reluctance motor (SynRM) drives at low speeds. In this paper, a reduced-order observer-based sensorless control method for SynRM drives combined with the adaptive linear neurons (ADALINE)-based dead-time compensation is proposed. The reduced-order observer-based sensorless control method is presented, for which is parameter tuning is easy. On this basis, the dead-time compensation strategy using ADALINE filters is proposed to reduce the voltage harmonics effect on the estimation performance of the reduced-order observer. With ADALINE filters, the sixth current harmonic can be successfully filtered out by compensating the voltage directly or fitting the current to compensate the voltage. In this way, the low-speed estimation performance of the reduced-order observer is improved. The effectiveness of the proposed method is verified on a 3 kW SynRM experimental platform. Full article
(This article belongs to the Special Issue Innovation in Motor Drive Systems for Electric Vehicles)
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17 pages, 10457 KiB  
Article
Variable-Angle Random High-Frequency Voltage Injection Strategy with Cross-Saturation Effect Compensation for Sensorless Synchronous Reluctance Motor Drives
by Liangnian Lv, Ziming Hu, Sisi Li, Rui Guo, Jinpeng Wang, Gaolin Wang and Shulin Li
Energies 2024, 17(3), 725; https://doi.org/10.3390/en17030725 - 2 Feb 2024
Viewed by 483
Abstract
There are usually noise problems when the position sensorless control of a synchronous reluctance motor (SynRM) is carried out by high-frequency (HF) signal injection method. Due to the special structure, the cross-saturation effect of the SynRM is particularly serious, resulting in reduced position [...] Read more.
There are usually noise problems when the position sensorless control of a synchronous reluctance motor (SynRM) is carried out by high-frequency (HF) signal injection method. Due to the special structure, the cross-saturation effect of the SynRM is particularly serious, resulting in reduced position observation accuracy. In this paper, a variable-angle random HF voltage injection strategy with cross-saturation effect compensation is proposed for position sensorless SynRM drives. Random number generation based on the chaotic mapping method is used to generate random HF voltage signals with different frequencies for injection; the current power spectral density (PSD) distribution is extended and the HF noise can be reduced. A control strategy based on variable-angle square-wave injection is proposed to suppress the cross-saturation effect. By measuring the position error curves of different loads off-line and polynomial fitting the curves, the position error is achieved by combining with the corresponding signal demodulation algorithm. The proposed method does not require additional hardware resources and can maintain high control accuracy and robustness. Finally, the effectiveness of the proposed sensorless control strategy is verified on a 3 kW SynRM experimental platform. Full article
(This article belongs to the Special Issue Innovation in Motor Drive Systems for Electric Vehicles)
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11 pages, 1891 KiB  
Article
Factors Influencing the Real-World Electricity Consumption of Electric Motorcycles
by Triluck Kusalaphirom, Thaned Satiennam and Wichuda Satiennam
Energies 2023, 16(17), 6369; https://doi.org/10.3390/en16176369 - 2 Sep 2023
Viewed by 1650
Abstract
Currently, studies regarding the factors influencing the real-world electricity consumption of electric motorcycles are lacking. The objective of this study was to examine the factors influencing the real-world electricity consumption of electric motorcycles when driving along an uncongested road network. This study developed [...] Read more.
Currently, studies regarding the factors influencing the real-world electricity consumption of electric motorcycles are lacking. The objective of this study was to examine the factors influencing the real-world electricity consumption of electric motorcycles when driving along an uncongested road network. This study developed an onboard measurement device to collect on-road data, including instant speed data and electricity consumption, from the test electric motorcycle while it was driving on a real-world road. Overall, 105 participants (n = 105) drove the test motorcycle along the uncongested urban road network. Multiple linear regression analysis was applied to explore the effect of influencing variables on the electricity consumption of electric motorcycles. The analysis results revealed that the rider’s weight and average running speed positively influenced electricity consumption, whereas decelerating time negatively influenced electricity consumption. Noticeably, the rider’s weight affected electricity consumption more than other factors. The lightweighting of electric motorcycles was mainly recommended to lower electricity consumption. Subsequently, CO2 emissions from electricity generation could be reduced. Full article
(This article belongs to the Special Issue Innovation in Motor Drive Systems for Electric Vehicles)
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