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 - Dynamics and Control of Distributed-drive Electric Vehicles

Session Chairs:  Shaohua Li (Professor, Shijiazhuang Tiedao University)

                             Lipeng Zhang (Professor, Yanshan University)

                             Jing Zhao (Professor, Northeastern University)

Special Session Information:

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

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

• Maneuverability control of DDEVs

• Energy efficiency control of DDEVs

• Driver assistance control of DDEVs

• Fault diagnosis and fault tolerant control of DDEVs

• V2X communication and networked control of DDEVs

• Connected and autonomous DDEVs in smart cities

Special Session Keywords:

Distributed driven electric vehicle, Dynamics control, Maneuverability control, Energy efficiency control, Driver assistance control

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 - Monitoring of Electric Vehicle Batteries and Motors

Session Chairs:  Xianbo Wang (Associate Research Fellow, Hainan Institute of Zhejiang University)

                             Fazhan Tao (Associate Professor, Henan University of Science and Technology)

Special Session Information:

The power battery and traction motor are the core systems of electric vehicles, and their health status directly affects the safety of both the vehicles and passengers. The vehicle health management system is capable of real-time monitoring of essential information data such as voltage, current, temperature, speed, and magnetic field of each component. In extreme scenarios, these data allow users to promptly identify potential hazards, avoiding catastrophic accidents such as battery thermal runaways and motor short circuits. In daily use, these data also provide insight into the performance status of various components, enabling users to schedule necessary maintenance work, such as battery capacity degradation, increased internal resistance, local demagnetization of motors, bearing wear, etc. At the same time, based on the accumulated data, manufacturers can actively formulate reasonable and personalized charging-discharging strategies to improve the endurance and driving performance of electric vehicles. Therefore, the full utilization of the status monitoring data of power batteries and traction motors is of great significance for the further advancement of electric vehicles.

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

• Model-driven/data-driven state monitoring and anomaly detection

• Intelligent power battery operation and maintenance in the Internet of things (IoTs) scenarios

• Design and development of vehicle health management systems considering the global vehicle information

• Fault simulation/emulation and data augmentation with few or no samples available

• Interpretability analysis of deep learning diagnostic models considering fault mechanisms

• Prognostic and Health Management (PHM)-oriented signal processing methods

• Fault mechanism studies of power batteries and traction motors

• Intelligent control and optimization of connected vehicles

• Energy management strategy of hybrid electric vehicles 

Special Session Keywords:

State Monitoring; Model Estimation; Fault Detection; Testing Methods; Fault Diagnosis

Special Session Ⅶ - Advanced Thermal Management of Electric Vehicles

Session Chairs:  Jun Xu (Professor, Xi'an Jiaotong University)

                             Zhechen Guo (Research Associate, Xi'an Jiaotong University)

Special Session Information:

Thermal management system (TMS) exerts a significant influence on the performance, driving range, safety, and user experience of electric vehicles (EVs). For the battery system, the TMS ensures that the batteries operate within the optimal temperature range, thereby safeguarding the operational safety, enhancing operational efficiency, and extending service life. In terms of the drive motors and power electronic control systems, the TMS maintains these components at appropriate temperatures that aims to minimize heat loss and improve energy conversion efficiency. In addition, the TMS adjusts the cabin temperature to provide a comfortable environment for passengers under extreme weather conditions. As EV technology continues to evolve, TMS are increasingly trending towards integration and intelligence. Leveraging advanced sensors, algorithms, and control technologies, these systems achieve efficient and precise thermal management. This session will focus on the latest research progress in TMSs for electric vehicles, including optimization design, system integration, fault analysis, intelligent control et al, with the aim of promoting the practical application and development of advanced thermal management technologies.

Special Session Keywords:

Thermal management system; System integration; Optimal design; Intelligent control; Thermal comfort