Special Session Ⅰ - Mechatronics (Instrumentation and Control)

Special 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 Special Session:

Research achievements related to machine vision and control in automotive and other related scenarios.

Special Session Keywords:

• Machine vision

• Image recognition

• Control

• Algorithm

Special Session Ⅱ - Dynamics and Control of Intelligent Vehicle Chassis

Special Session Information:

Dynamics and Control play important roles in the development of the intelligent vehicle chassis. With the advent of featured emerging technologies, such as big data, cloud computation and artificial intelligence, the dynamics and control of the intelligent vehicle chassis are faced with more opportunities and challenges. Therefore, this special session will focus on but not limited to dynamics analysis and motion control of the intelligent vehicle chassis, such as chassis design, motion control, energy efficiency control, driver assistance control, trajectory planning and tracking control, so as to promote the development of the intelligent vehicle.

Below is an incomplete list of potential topics to be covered in the Special Session:

• Chassis design of intelligent vehicle chassis

• Dynamics analysis of intelligent vehicle chassis

• State estimation of intelligent vehicle chassis

• Motion control of intelligent vehicle chassis

• Energy efficiency control of intelligent vehicle chassis

• Fault diagnosis and fault tolerant control of intelligent vehicle chassis

Special Session Keywords:

• Intelligent vehicle

• Vehicle dynamics

• Chassis design

• State estimation

• Motion control 

Special Session Ⅲ - Cloud－Fog－Edge－Terminal Architecture in Internet of Vehicle

Special Session Information:

In the context of the rapid development of intelligent transportation, the innovation of the embedded system architecture of the Internet of Vehicles has irreplaceable strategic significance because of its key role in promoting the construction of intelligent transportation infrastructure and improving road traffic safety and efficiency. 

Below is an incomplete list of potential topics to be covered in the Special Session:

• Internet of vehicles

• Fog computing

• Edge calculation

• Scenario-based Landing

• Embedded Systems

Special Session Keywords:

• Internet of vehicles

• Fog computing

• Edge calculation

• Scenario-based Landing

• Embedded Systems

DDL: 2025-11-30

Special Session Ⅳ - Intelligent Management of Lithium-Ion Batteries and Fuel Cells

Special Session Information:

Lithium-ion batteries and fuel cells are widely employed as onboard energy storage systems in electric vehicles. Ongoing advancements in their design and management technologies are enhancing power, efficiency, and driving range, while also inspiring numerous innovative and critical research directions. This special session seeks to showcase recent studies on advanced design and management strategies for lithium-ion batteries, fuel cells, and related technologies in electric vehicle applications.

Below is an incomplete list of potential topics to be covered in the Special Session:

• Battery material and design

• Battery modeling and state estimation

• Fault diagnosis and safety management

• Thermal management of lithium-ion battery and fuel cell

• Remaining life prediction

• Fuel cell water management

• Energy management strategy

Special Session Keywords:

• Lithium-ion Battery

• Fuel Cell

• Battery Management

• Thermal Management

• Electric Vehicles

• Energy Management

Special Session Ⅴ - Artificial intelligence empowering innovative applications of electrochemical power sources in NEVs

Special Session Information:

Vehicular electrochemical power systems, including lithium-ion batteries, sodium-ion battery, fuel cells, and their combinations, are of great significance to the sustainable development of transportation electrification. To promote the in-depth integration of electrochemical power systems and artificial intelligence in terms of intelligence and informatization, and to successfully achieve the green and high-quality "dual-carbon" goals, this special session aims to jointly explore the applications of artificial intelligence in the fields of electrochemical power source optimization design, fault diagnosis, and intelligent control. It seeks to facilitate the integration of innovative artificial intelligence technologies with practical electrochemical power source application scenarios and actively lead the trend of technological innovation.

Below is an incomplete list of potential topics to be covered in the Special Session:

• Artificial intelligence and big data

• Lithium-ion batteries

• Sodium-ion batteries, and fuel cells

• Modelling and simulation for electrochemical power sources

• Intelligent design of electrochemical power sources

• State estimation and degradation prediction

• Adaptive control and energy management

Special Session Keywords:

• Artificial Intelligence

• Electrochemical Power Sources

• Big Data

• Intelligent Management and Control

• Performance Optimization

• Fault Diagnosis

DDL: 2025-11-15

Special Session Ⅵ - Energy-saving Optimization and Control for Intelligent Connected Hybrid Electric Vehicles

Special Session Information: The in-depth integration of intelligent connected technology and hybrid power systems has unlocked innovative pathways for vehicle energy-saving control. By leveraging vehicle-to-everything (V2X) technology to establish a vehicle-road-cloud collaborative mechanism, this integration not only overcomes the limitations of single-vehicle energy-saving optimization but also gives rise to emerging research directions, including multi-vehicle platoon collaborative energy-saving control, speed planning, and predictive economic cruise control. Through the integration of connected information, these directions extend traditional single-vehicle powertrain energy management to more complex and dynamic driving scenarios, enabling exploration of the full energy-saving potential of hybrid vehicles. However, critical challenges remain, such as the efficient utilization of multi-source dynamic traffic information and the real-time collaborative optimization of vehicle motion behavior and power systems, which demand urgent attention. This special issue focuses on the cutting-edge advancements in energy-saving optimization for intelligent connected hybrid vehicles, aiming to foster cross-domain innovation at the intersection of eco-driving and powertrain collaborative control technologies.

Below is an incomplete list of potential topics to be covered in the Special Session:

• AI-enabled energy-saving control for connected vehicles

• Cooperative eco-driving for multi-vehicle platoons

• Cooperative control of motion and energy saving with traffic flow

• Eco-driving under connected information disturbances

• Optimal energy management for special vehicles in off-road conditions

• Size matching and energy management of novel hybrid power systems

• V2X-enabled vehicle-road-cloud cooperative simulation and testing technology

Special Session Keywords:

• Energy savings

• Eco-driving

• Hybrid electric vehicles

• Motion and powertrain

• Optimization and control

• Vehicle-to-everything

DDL: 2025-11-26

Special Session Ⅶ - Future-Oriented Battery Management: Intelligent Estimation and Control

Special Session Information: The rapid evolution of electric vehicles and energy storage systems calls for advanced battery management approaches that ensure accuracy, efficiency, and safety under increasingly complex operating conditions. Traditional methods often struggle to adapt to fast charging, varying temperatures, and cell inconsistencies. Meanwhile, emerging hybrid approaches that combine physics-based modeling with intelligent data-driven algorithms provide promising solutions for future-oriented battery systems. This special session aims to explore cutting-edge advances in intelligent battery state estimation, charging optimization, and safety-aware control. Contributions addressing theoretical innovations, robust algorithm design, and real-world validation for next-generation battery management systems are particularly encouraged.

Below is an incomplete list of potential topics to be covered in the Special Session:

• Intelligent estimation of SOC, SOH, and SOP.

• Hybrid physics-informed and data-driven approaches for advanced BMS

• Adaptive and safe fast-charging strategies for extended battery life

• Safety-aware control and anomaly detection in large-scale battery packs

• Robust state estimation under uncertainties and multi-source coupling environments

• Battery digital twin and predictive maintenance frameworks

• Emerging challenges in solid-state and next-generation chemistries

• Practical implementation and validation in electric vehicles and energy storage systems
  

Special Session Keywords:

• Battery management

• State estimation

• Fault warning

• Safety control

• Charging optimization

DDL: 2025-11-30