Special Sessions

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Special Sessions

Special Session Ⅰ - Mechatronics (Instrumentation and Control)

Chair:	Co-Chair:

Chunhua Song Xihua University, China	Gong Zhang Guangdong Polytechnic Normal University, China

Session Information:
Research on the combination of image recognition and control in related fields such as automobiles.

Below is an incomplete list of potential topics to be covered in the Track:
Research achievements related to machine vision and control in automotive and other related scenarios
Keywords:
Machine vision Image recognition Control Algorithm

Special Session Ⅱ - New Energy Heavy-duty Vehicle

Chair:	Co-Chair:

Min Ye Chang’an University, China	Tianliang Lin Huaqiao University, China

Session Information:
Driven by China's “dual-carbon” goals and the dual-circulation new development paradigm, the electrification of construction machinery has emerged as a critical breakthrough for industrial upgrading and sustainable development. This session explores the critical challenges in electrifying different types of equipment.

Below is an incomplete list of potential topics to be covered in the Track:
Electrification of construction vehicles Hybrid engineering machinery Power matching of heavy-duty vehicles Power energy-saving technology Carbon emissions and carbon neutrality
Keywords:
Hybrid power Heavy-duty vehicle New energy vehicle Construction machinery

Special Session Ⅲ - Intelligent Energy Management of Electric Vehicles and Vehicle Road Collaborative Energy-Saving Optimization

Chair:	Co-Chair:

Menglin Li Yanshan University, China	Yao Sun Jilin University, China

Session Information:
Driven by China’s “dual-carbon” goals and the rapid development of intelligent connected transportation, intelligent energy management and vehicle‑road cooperative eco‑driving have emerged as critical breakthroughs for improving the energy efficiency of new energy vehicles. This session explores the key challenges in integrating eco‑driving, energy management strategies, and vehicle‑road coordination to achieve holistic energy‑saving optimization for electric vehicles.

Below is an incomplete list of potential topics to be covered in the Track
Intelligent energy management for new energy vehicles Eco-driving under vehicle road cooperative systems Connected electric vehicle energy saving optimization Real time energy management with V2X communication Cooperative control of powertrain and traffic flow Smart mobility and energy integration for carbon reduction
Keywords:
New energy vehicles Energy management Eco-driving Vehicle road coordination

Special Session Ⅳ - Advanced Chassis and Motion Control for Intelligent Vehicles

Chair:	Co-Chairs:

Yunfei Zha Fujian University of Technology, China	Chen Tang Tongji University, China	Yong Zhang Huaqiao University, China

Session Information:
This special session focuses on frontier issues in advanced chassis and motion control for intelligent vehicles, including vehicle dynamics modeling, state estimation, trajectory tracking, lateral stability control, coordinated chassis control, and by-wire chassis technologies. Contributions on distributed drive, torque allocation, robust control, predictive control, adaptive control, learning-based control, and engineering applications are particularly welcome to promote the integration of intelligent chassis technologies and automated driving systems.

Below is an incomplete list of potential topics to be covered in the Track
Vehicle Dynamics Modeling and Parameter Identification for Intelligent Vehicles Multi-Sensor Fusion and Vehicle State Estimation Trajectory Tracking and Path Following Control Vehicle Lateral Stability and Attitude Coordinated Control Steer-by-Wire, Brake-by-Wire, and X-by-Wire Chassis Technologies Active Suspension and Integrated Chassis Control Motion Control and Torque Allocation for Distributed-Drive Electric Vehicles Multi-Actuator Coordinated Control and Chassis Domain Control Robust Control, Model Predictive Control, and Adaptive Control Vehicle Safety and Stability Control under Limit Conditions Simulation, Experiment, and Engineering Applications of Intelligent Vehicle Chassis Control
Keywords:
Intelligent Vehicle Chassis Control Vehicle Motion Control Trajectory Tracking and Stability Control Chassis-by-Wire Technology Distributed Drive and Coordinated Control Vehicles Dynamics and Control

Special Session Ⅴ- AI-Driven Autonomous Mobility and Intelligent Connectivity for Electric Vehicles

Chair:

Jiyong Gao Fuyao University of Science and Technology, China

Session Information:
This special session focuses on the development and application of AI-driven autonomous mobility and intelligent connectivity technologies for electric vehicles. The session will cover emerging topics including AI algorithms, autonomous driving systems, intelligent connected vehicles, vehicle-road collaboration, in-vehicle wireless communication, and intelligent transportation systems. With the rapid integration of electrification and artificial intelligence, electric vehicles are evolving toward higher levels of autonomous driving, intelligent decision-making, and smart mobility ecosystems. The session aims to provide an international platform for researchers, engineers, and industry experts from academia and industry to exchange ideas and discuss key challenges, enabling technologies, engineering practices, and industrial applications related to AI-powered intelligent vehicles. It also seeks to promote the innovation and deployment of next-generation electric vehicles and intelligent transportation systems.

Below is an incomplete list of potential topics to be covered in the Track
AI and Large Models for Autonomous Driving Perception and Sensor Fusion Algorithms Intelligent Decision-Making and Path Planning Intelligent Connected Vehicles (ICV) Vehicle-Road-Cloud Collaboration and V2X Technologies Intelligent Transportation Systems and Smart Mobility In-Vehicle Wireless Communication and UWB Technologies Electronic/Electrical Architectures for Electric Vehicles Automotive Electronics and Domain Controllers Simulation and Validation for Autonomous Driving Safety and Functional Safety of Intelligent Vehicles Intelligent Technologies for New Energy Vehicles
Keywords:
Artificial Intelligence Autonomous Driving Intelligent Connected Vehicles Vehicle-Road Collaboration Electric Vehicles Automotive Electronics

Special Session Ⅵ - Intelligent Modeling and Management Technologies for Electrochemical Power Source Systems of New Energy Vehicles

Chair:	Co-Chairs:

Bo Jiang Tongji University, China	Kai Ou Fuzhou University, China	Hao Yuan Tongji University, China

Session Information:
Electrochemical power sources for new energy vehicles, including lithium-ion batteries, sodium-ion batteries, fuel cells, and their hybrid systems, are of great significance to the sustainable development of transportation electrification. Advanced management technologies can enhance the operational stability and safety of such power source systems. To promote the in-depth integration of electrochemical power sources and artificial intelligence, and support the green development of transportation equipment, this special session will focus on exploring the applications of artificial intelligence in the fields of adaptive modeling, fault diagnosis, and intelligent control of electrochemical power sources, and facilitate the in-depth integration of intelligent management technologies with practical vehicular application scenarios.

Below is an incomplete list of potential topics to be covered in the Track
Lithium-Ion Batteries, Sodium-Ion Batteries, and Fuel Cells Artificial Intelligence Modelling and Simulation for Electrochemical Power Sources State Estimation and Degradation Prediction Fault Diagnosis and Safety Warning Adaptive Control and Energy Management
Keywords:
Electrochemical Power Source Artificial Intelligence Adaptive Modeling Fault Diagnosis Intelligent Control

Special Session Ⅶ - Modeling and Optimal Control for Vehicle Energy and Powertrain Systems

Chair:	Co-Chair:

Yunlong Wang Northeastern University, China	Yan Liu Liaoning University of Technology, China

Session Information:
With the ongoing electrification and intelligence trends in transportation, high-fidelity modeling and advanced optimal control of vehicle energy and powertrain systems have become essential for improving energy efficiency, extending component lifetime, and ensuring safe operation. This special session aims to bring together researchers and engineers to discuss state-of-the-art methods in physics-based and data-driven modeling, real-time state estimation, model predictive control, reinforcement learning, and integrated energy management of electrified vehicle powertrains and energy storage systems. Particular attention is given to the synergy between advanced algorithms and practical vehicle implementations under the carbon neutrality target.

Below is an incomplete list of potential topics to be covered in the Track
Model predictive control and reinforcement learning for powertrain control Nonlinear control and robust control of electric drives and power converters Vehicle kinematics and path planning control Vehicle system state estimation and compensation control Optimal energy management strategies for hybrid electric and fuel cell vehicles
Keywords:
Vehicle energy system Powertrain modeling Optimal control Energy management State estimation Hybrid power system

Special Session Ⅷ- State Monitoring and System Control of On-Board Traction Batteries

Chair:	Co-Chairs:

Jun Xu Xi'an Jiaotong University, China	Zhechen Guo Xi'an Jiaotong University, China	Chuanping Lin Xi'an Jiaotong University, China

Session Information:
With the accelerating development of the electric vehicle industry, the on-board traction battery, as the core energy source of the vehicle, directly determines the reliability and market competitiveness of the vehicle through its safety, durability, and performance. Accurate state monitoring and efficient system control strategies have become core issues of common concern to both academia and industry. This special session focuses on the state monitoring and system control of on-board traction batteries. We welcome submissions covering model-driven and data-driven state estimation methods, advanced battery management system (BMS) architecture design, thermal runaway early warning and safety control, intelligent charging and discharging strategies, battery lifetime prediction and health management. We particularly encourage interdisciplinary research that integrates electrochemical modeling, control theory, machine learning, and vehicle system integration, to advance both theoretical innovation and engineering implementation in this field.

Below is an incomplete list of potential topics to be covered in the Track
Battery System Modeling Battery State Estimation Thermal Management System Design Battery System Balancing and Reconfiguration Techniques Battery Safety Management
Keywords:
Power Battery Online Monitoring State Estimation Thermal Management Fault Diagnosis System Optimization

Special Session Ⅸ- Battery Materials and Devices

Chair:

Huarong Xia Fuzhou University, China

Session Information:
The performance of battery materials and devices fundamentally determines the upper limit of power battery performance, profoundly influencing the driving range, charging speed, service life, and safety of electric vehicles. Starting from the fundamental issues of battery materials and devices, this special topic focuses on the latest research advances and explores the potential development opportunities for the electrification of automobiles.

Below is an incomplete list of potential topics to be covered in the Track
Li-ion Battery Na-ion Battery New-type Batteries Electrode Materials Electrolytes Advanced Characterization Techniques
Keywords:
Li-ion Battery Na-ion Battery New-type batteries Electrode materials Electrolyte

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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