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Special Session Ⅹ

Special Session Ⅹ- Advanced Power Electronics and Intelligent Energy Management for Next-Generation Electric Vehicles
 
Chair:   Co-Chairs:    
   

 Liping Mo

Hefei University of Technology, China

 Chunchun Jia

The Hong Kong Polytechnic University, China

Chaoqiang Jiang

City University of Hong Kong, China

 
       
Session Information:      
Electric vehicles (EVs) are undergoing rapid technological transformation driven by electrification, intelligence, and connectivity. At the core of this evolution lies advanced power electronics and intelligent energy management systems that ensure safety, efficiency, reliability, and optimized performance.
Next-generation EV architectures demand high-efficiency traction inverters, high-voltage DC/DC converters, bidirectional charging systems, wireless power transfer technologies, and intelligent supervisory control strategies. Meanwhile, emerging requirements such as fast charging, vehicle-to-grid (V2G) interaction, autonomous driving energy optimization, and multi-objective thermal-energy coordination are pushing EV power systems toward greater integration and intelligence.
This Special Issue aims to provide a comprehensive platform for cutting-edge research on advanced power electronics devices, system-level energy architectures, protection strategies, wireless charging technologies, and intelligent energy management in electric vehicles. Both theoretical advancements and practical implementations are welcome.
 
Below is an incomplete list of potential topics to be covered in the Track
  • High-efficiency traction inverters and DC/DC converter design
  • Wide bandgap semiconductor applications (SiC, GaN) in EVs
  • Protection strategies and fault-tolerant control of power converters
  • Wireless power transfer systems for electric vehicles
  • Bidirectional charging and vehicle-to-grid (V2G) converters
  • Thermal management and power density optimization of EV power electronics
  • Energy management systems (EMS) and supervisory control strategies
  • Battery management systems (BMS) and state estimation techniques
  • Model predictive and optimization-based energy control methods
  • Regenerative braking and power coordination strategies
  • Integrated thermal–energy management and multi-objective optimization
  • AI-driven and data-driven energy management approaches
Keywords:
  • Electric vehicles
  • Power electronics
  • Wireless power transfer
  • Wide bandgap devices
  • Energy management
  • Intelligent control

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