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As the global energy structure accelerates its transition towards cleaner and low-carbon solutions, and as electrification advances across industries such as industrial equipment and transportation, comprehensive demands for high performance, high reliability, and intelligence are being placed on electric machine systems. These encompass research directions including high power density, novel machine topologies, advanced materials and thermal management, multiphysics co-design and optimization, intelligent sensing and fault-tolerant operation, and highly reliable system integration.Meanwhile, wind power generation technology, as one of the most scalable renewable energy technologies, is rapidly evolving toward offshore and extreme environments, as well as toward larger-scale and smarter systems. Wind power systems must demonstrate excellent reliability, fault-tolerant operation, high-efficiency performance across wide speed ranges, intelligent grid coordination capabilities, and robust resilience to complex, variable operating conditions and harsh environments. This presents entirely new challenges in system integration, intelligent control, and lifecycle management.
This Special Session focuses on cutting-edge research in advanced electric machine systems and wind power generation technology. It aims to investigate fundamental theories, innovative designs, and engineering applications related to highly reliable electrical machine systems, power electronic drive and control systems, and wind power generation. The session seeks to explore how interdisciplinary and cross-domain technological collaboration can break through critical technical bottlenecks.
The topics for submission include but are not limited to:
1. Design of High Power Density Electrical Machines;
2. Design and Optimization of Wind Turbines;
3. High-Speed Electrical Machines;
4. Superconducting Electrical Machines;
5. Amorphous Alloy Electrical Machines;
6. Integrated Design of Electrical Machine and Controller;
7. Advanced Control Strategies for Electrical Machines;
8. Fault Diagnosis and Fault Tolerant Control of Electrical Machines;
9. AI-Driven Design and Control of Electrical Machines;
10. Advanced Control of Wind Turbines;
11. Sub-synchronous Oscillations in Wind Power Systems;
12. Grid Integration of Wind Power Systems;
13. Fault Diagnosis and Prognostics for Wind Turbines
Prof. Xiao Liu, Hunant University, China
Prof. Fujin Deng, Southeast University, China
Prof. Xiaoqin Zheng, Qingdao University, China
1. All papers will undergo a thorough peer review process. Accepted full papers that are presented at the conference will be published in proceedings.
2. The corresponding author is responsible for ensuring that the article’s publication has been approved by all other co-authors and takes responsibility for the paper during submission and peer review.
3. Review comments will be communicated to you and you may require to do necessary revisions and send revised paper on or before prescribed day.
Reviewers evaluate article submissions to IEECSC, based on the requirements of the conference proceedings, predefined criteria, and quality, completeness and accuracy of the research presented. They suggest improvements and make a recommendation to the editor about whether to accept, reject or request changes to the article. We sincerely welcome experts in the areas of Electrical Engineering and Energy join the conference as reviewer. If you are interested in joining IEECSC as Reviewer, please click the below button to submit your information.
Apply for ReviewerThe content of any submissions should be original and must not be submitted simultaneously for consideration towards publication in any other conference or journal. Reuse of material previously published by the authors is possible under the conditions that the authors fully disclose (cite) the reference and clearly highlight the innovative contribution of the IEECSC 2026 submission and the significance of this contribution.
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