(Include but not limited to)
Track 1: Power Electronics and Energy Conversion Technology
Power converter topologies, modeling and control
Wide bandgap semiconductor devices and their applications
High-frequency magnetic integration and high-power density converters
Multilevel converter technology
Soft-switching converters and resonant converters
Bidirectional power converters
Digital twins and simulation of power electronic systems
AI-driven power electronic condition monitoring and fault diagnosis
Model predictive control and intelligent control algorithms
Electromagnetic compatibility (EMC) and electromagnetic interference (EMI) of power electronic systems
Reliability and fault-tolerant operation of converters
Thermal management and packaging optimization
Photovoltaic inverters and maximum power point tracking (MPPT) technology
Wind power converters and new energy grid connection interfaces
Motor drive and motion control
Track 2: Energy Storage Systems
Electrochemical energy storage technologies (lithium-ion batteries, sodium-ion batteries, flow batteries, etc.)
Physical energy storage technologies (hydrogen storage, compressed air storage, flywheel storage, etc.)
Thermal storage/cooling technologies and phase change energy storage materials
Hydrogen production, storage and fuel cell technologies
Supercapacitors and hybrid energy storage devices
Modeling, simulation and optimization design of energy storage systems
Energy storage converters (PCS) and power conversion technologies
Integration and coordinated control of energy storage systems
Large-scale energy storage systems and grid connection
Grid-connected energy storage and grid support technologies
Thermal management and safety protection of energy storage systems
Health assessment and life prediction of energy storage systems
Energy storage participation in grid frequency regulation, voltage regulation auxiliary services
Optimal configuration and scheduling of new energy storage and battery storage
Economic and business model of energy storage systems
Long-term energy storage technologies and new energy storage materials
Digital twins and intelligent operation of energy storage systems
Track 3: Battery Management and Intelligent Control
Battery management system (BMS) architecture and design
Battery state estimation (SOC, SOH, SOP) algorithms
Battery equalization technology and thermal management strategies
Battery charging and discharging control and optimization strategies
Battery aging mechanism and life prediction
Battery fault diagnosis and safety warning
Consistency management and optimization of battery groups
Battery modeling and parameter identification methods
Battery thermal runaway mechanism and protection technology
Battery data-driven health management (PHM)
Application of machine learning in battery management
Large models and AI in battery state prediction
Battery secondary utilization and recycling technology
Function safety and reliability of battery management systems
Vehicle-mounted battery management and V2G interaction technology
Energy storage battery management and system integration technology
......