Topic Editors

Faculty of Engineering, Division of Intelligent Systems Engineering, Yokohama National University, Yokohama, Japan
Dr. Minh Cao Ta
Department of Electrical Engineering and Computer Engineering, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada

Next-Generation EV Motor Systems: Integrated Design and AI-Driven Optimization

Abstract submission deadline
closed (30 April 2026)
Manuscript submission deadline
closed (30 June 2026)
Viewed by
1915

Topic Information

Dear Colleagues,

Although the sudden increase in demand for electric vehicles has subsided, the development of better electric vehicles is desired to solve environmental issues.

The integration of motors and inverters, as typified by E-Axles, has become a standard component, but in the future, even smaller components will be required. In addition, AI-based motor drive methods are also undergoing innovation, and further improvements in efficiency and dynamics can be expected in the future.

From the above background, this topic calls for papers on more advanced motor and inverter integration, motor optimization, and new motor drive methods. Please submit your latest research results.

Prof. Dr. Kan Akatsu
Dr. Minh Cao Ta
Topic Editors

Keywords

  • E-Axle
  • system integration
  • AI-driven motor control
  • optimization
  • motor drive methods

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Batteries
batteries
6.3 9.8 2015 16.4 Days CHF 2700
Designs
designs
- 5.7 2017 19.5 Days CHF 1600
Electronics
electronics
2.9 7.0 2012 14.8 Days CHF 2400
Energies
energies
3.9 8.3 2008 16.7 Days CHF 2600
Eng
eng
3.5 4.1 2020 18.8 Days CHF 1400
Inventions
inventions
2.4 5.7 2016 18.1 Days CHF 1800
Machines
machines
3.0 6.1 2013 15.9 Days CHF 2400
Vehicles
vehicles
3.2 5.5 2019 19.7 Days CHF 1800

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Published Papers

There is no accepted submissions to this Topic at this moment.
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