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:	Co-Chair:

Jiyong Gao Fuyao University of Science and Technology, China	Bin Huang Wuhan University of 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

Special Session XI- Design, Monitoring and Control of Hydrogen Energy Vehicular Propulsion Systems: Pathways to Carbon Neutrality

Chair:	Co-Chair:

Song Yang Jilin University, China	Yanzhou Qin Tianjin University, China

Session Information:
The global transition toward carbon neutrality has placed hydrogen energy at the forefront of sustainable transportation solutions. Hydrogen-powered vehicular propulsion systems—encompassing fuel cell vehicles, hydrogen internal combustion engines, and hybrid architectures—present a promising pathway to decarbonize the mobility sector. However, the successful deployment of these systems hinges on overcoming formidable challenges in system design and integration, real-time monitoring, and intelligent control strategies. This session aims to bring together researchers, engineers, and industry practitioners to explore the latest advances in the design, monitoring, and control of hydrogen energy vehicular propulsion systems.

Below is an incomplete list of potential topics to be covered in the Track
Design and Optimization of Hydrogen Engines, Fuel Cells and the Hybrid Propulsion Systems Real-Time State-of-Health and Remaining Useful Life Prediction for Fuel Cell Systems Advanced Energy Management Strategies for Multi-Source Hydrogen Propulsion Systems Abnormal Combustion Detection and Suppression in Hydrogen Internal Combustion Engines Advanced Combustion Concept and Combustion Control Strategy for High-Efficiency Hydrogen Engines Thermal Management and Fault-Tolerant Control of Hydrogen Propulsion Systems AI-Enhanced Predictive Control for Real-Time Energy Optimization in Connected Hydrogen Vehicles Digital Twin Frameworks for Design, Validation, and Lifecycle Management
Keywords:
PEMFCs Hydrogen Engines Hybrid Propulsion System Fault Diagnosis System Control and Optimization

Special Session Ⅻ- X-by-Wire Chassis Design and Vehicle Dynamics Control for Intelligent Electric Vehicles

Chair:	Co-Chairs:

Lingtao Wei Fuzhou University, China	Songchun Zou Fuzhou University, China	Weihe Liang Nanjing University of Aeronautics and Astronautics, China

Session Information:
Electric vehicles are rapidly evolving toward electrification, intelligence, and connectivity. As an important foundation of vehicle actuation systems and intelligent control systems, the x-by-wire chassis is becoming a key technology for improving vehicle safety, handling stability, ride comfort, and intelligent performance. The development of technologies such as steer-by-wire, brake-by-wire, drive-by-wire, active suspension, and chassis domain controllers is transforming the vehicle chassis from a conventional mechanical transmission system into a highly integrated and coordinately controlled intelligent actuation platform. This Special Issue focuses on x-by-wire chassis design and vehicle dynamics control for intelligent electric vehicles, with particular emphasis on novel chassis configuration design, vehicle dynamics modeling and state estimation, intelligent longitudinal-lateral control, and coordinated control of multiple chassis actuators. By integrating vehicle dynamics theory, advanced control methods, and intelligent perception and decision-making technologies, this Special Issue aims to promote higher levels of stability, safety, and efficiency for intelligent electric vehicles under complex driving conditions. This Special Issue aims to provide a platform for frontier research and engineering applications in vehicle dynamics, x-by-wire chassis, intelligent control, and stability control. High-quality submissions on theoretical studies, key technological breakthroughs, system design methods, and engineering validation are welcome.

Below is an incomplete list of potential topics to be covered in the Track
Novel by-wire chassis architecture design Steer-by-wire system design and control Fault-tolerant control and safety design of by-wire chassis systems Drive-by-wire and distributed electric drive control Chassis domain controller design and integrated control architecture Vehicle dynamics modeling and parameter identification Vehicle state estimation and road adhesion condition recognition Lateral and longitudinal dynamics control of intelligent vehicle Vehicle stability control and rollover prevention control AI-driven and data-driven vehicle dynamics control methods Human-vehicle-road cooperative control for intelligent electric vehicle
Keywords:
Electric Vehicles X-by-Wire Chassis Vehicle Dynamics Intelligent Control Vehicle Stability Control

Special Session XIII- Research on Autonomous Heterogeneous Multi-Agent Cooperative Control of Vehicle-Road-Cloud Integration

Chair:	Co-Chair:

Jixiang Wang Fuzhou University, China	Songyue Yang Beihang University, China

Session Information:
Deep integration of intelligent connected vehicles, smart road infrastructure and cloud management platforms makes vehicle-road-cloud integration a core technical route for large-scale implementation of intelligent transportation in China. The system contains heterogeneous intelligent agents including autonomous vehicles, human-driven vehicles, roadside sensing units, edge computing nodes and cloud scheduling platforms. These agents differ greatly in perception, decision-making and execution capabilities, forming interactive scenarios of heterogeneous multi-agents. Traditional single-vehicle independent control cannot guarantee traffic safety and global efficiency under complex road networks. This Special Session focuses on core issues of autonomous heterogeneous multi-agent cooperative control under vehicle-road-cloud integration architecture. It pays special attention to key research directions such as spatio-temporal perception fusion of multiple heterogeneous agents, distributed cooperative decision-making, hierarchical cooperative control of human-vehicle-road-cloud, game interaction among heterogeneous agents, edge-cloud collaborative scheduling, and safety management in complex traffic scenarios. By integrating C-V2X communication, multi-agent game theory, data-driven control and distributed optimization, this session connects information interaction and cooperative execution among vehicle, road and cloud layers to realize safe, efficient and eco-friendly operation of full-domain transportation systems. This Special Session provides an academic exchange platform for frontier theories and engineering applications in vehicle-road-cloud coordination, multi-agent control and intelligent connected vehicles. High-quality submissions on theoretical modeling, algorithm innovation, system architecture design, simulation verification and real-vehicle road tests are welcome.

Below is an incomplete list of potential topics to be covered in the Track
Hierarchical architecture design of vehicle-road-cloud integrated system Multi-source perception fusion and beyond visual range perception based on C-V2X Modeling and game interaction mechanism of autonomous heterogeneous multi-agents Distributed cooperative decision-making algorithm for human-vehicle-road-cloud Cooperative control under mixed traffic of heterogeneous intelligent vehicles Collaborative scheduling optimization of edge computing and cloud platform Conflict resolution and active safety control in vehicle-road-cloud integrated scenarios Multi-agent reinforcement learning for traffic cooperative control Co-simulation platform and real-vehicle test verification for vehicle-road-cloud integration Data interaction, privacy and security management of vehicle-road-cloud integration
Keywords:
Vehicle-Road-Cloud Integration Heterogeneous Multi-Agent Autonomous Cooperative Control Intelligent Connected Vehicles C-V2X Internet of Vehicles

Special Session XIV- Spatiotemporal Intelligence, Cooperative Decision-Making, and Autonomous Control for Intelligent Connected Transportation Systems

Chair:	Co-Chairs:

Yuankai Wu Sichuan University, China	Yong Wang The University of Hong Kong	Renzong Lian Fuzhou University, China

Session Information:
Intelligent connected transportation systems are entering a new stage driven by artificial intelligence, spatiotemporal data, vehicle-road-cloud integration, and autonomous decision-making. Unlike traditional vehicle electrification studies that focus primarily on power electronics and energy conversion, this topic emphasizes how intelligent algorithms, dynamic system modeling, and cooperative control can improve the safety, efficiency, robustness, and sustainability of future transportation systems. Modern transportation systems involve complex interactions among vehicles, infrastructure, pedestrians, traffic signals, mobility services, and urban environments. These systems generate massive multimodal spatiotemporal data, including traffic flow, trajectories, sensor measurements, road networks, weather, events, and vehicle operation states. Effectively modeling these data and translating them into reliable prediction, planning, and control decisions remains a fundamental challenge. This conference theme aims to provide a platform for cutting-edge research on spatiotemporal intelligence, intelligent vehicle modeling, multi-agent cooperation, traffic prediction, reinforcement learning, world models, vehicle-road-cloud collaborative control, and safety-aware autonomous mobility. Both theoretical advances and real-world applications are welcome, especially studies that bridge machine learning, transportation systems, vehicle dynamics, and intelligent control.

Below is an incomplete list of potential topics to be covered in the Track
Spatiotemporal data mining and forecasting for intelligent transportation systems Deep learning and foundation models for traffic prediction Graph neural networks for road networks, traffic flow, and mobility systems Vehicle trajectory prediction, behavior modeling, and intention recognition Intelligent vehicle dynamics modeling and control Reinforcement learning for traffic signal control, routing, and vehicle decision-making Multi-agent cooperation and game-theoretic modeling in mixed traffic systems World models and simulation-based learning for autonomous driving and traffic control Vehicle-road-cloud collaborative perception, prediction, and decision-making on Digital twins for urban mobility and intelligent transportation management Safety, robustness, and uncertainty quantification in autonomous mobility systems Human-in-the-loop and human-AI collaborative transportation systems Data-driven traffic emission, energy consumption, and low-carbon mobility analysis Large language models and multimodal agents for transportation reasoning and management Benchmark datasets, evaluation protocols, and real-world deployment of intelligent transportation AI
Keywords:
Intelligent connected transportation Spatiotemporal data mining Traffic prediction and control Vehicle dynamics and decision-making Multi-agent systems Reinforcement learning World models Autonomous driving Smart mobility Urban computing Safety-critical AI Digital twins

Special Session XV- Life-cycle Management of Power Batteries

Chair:

Siyan Chen Jilin University, China

Session Information:
This special session focuses on refined life-cycle management of power batteries, including fault detection, state estimation, and non-destructive fast-charging techniques integrated with Prognostics and Health Management (PHM), as well as advanced energy management strategies. In addition, we will cover pre-selection and sorting methods for batteries intended for second-life applications. We hope that this session will drive battery management systems toward higher intelligence and accuracy, ultimately improving the reliability of electric vehicle battery systems and supporting global carbon neutrality goals.

Below is an incomplete list of potential topics to be covered in the Track
Lithium-Ion Batteries Artificial Intelligence State Estimation and Degradation Prediction Non-destructive Fast-charging Fault Diagnosis and Safety Warning Second-Life Applications Adaptive Control and Energy Management
Keywords:
Power battery Prognostics and Health Management Life-cycle Management Energy Management State Estimation Fault Diagnosis

Special Session XVI- Collision Safety Protection for Electric Vehicles

Chair:	Co-Chair:

Chao Gong Hefei University of Technology, China	Yu Liu China Automotive Engineering Research Institute, China

Session Information:
This sub-forum focuses on the safety challenges of electric vehicles under complex crash conditions. With the surge in electric vehicle ownership and the widespread adoption of autonomous driving technology, crash scenarios have expanded from single fixed-barrier impacts to multi-scenario, multi-angle, and multi-speed complex collision modes. Coupled with the presence of high-voltage electrical systems and power batteries, crash safety issues have become more critical than those of traditional internal combustion engine vehicles, calling for systematic research and breakthroughs. This sub-forum is oriented toward researchers in the automotive safety field, corporate crash safety engineers, university graduate students, and relevant standards developers. Attendees will gain insights into the latest crash simulation methods, battery crash protection designs, occupant restraint system optimization, and other cutting-edge findings, stay updated on the latest industry research trends, expand their academic networks, and obtain technical references for corporate product development.

Below is an incomplete list of potential topics to be covered in the Track
Traffic Accident Research and Data Analysis Vehicle Insurance and Automotive Design Optimization HBM/ATD and Virtual Assessment Safety of Power Batteries for New Energy Vehicles Advanced Body Structures and Intelligent Restraint Systems
Keywords:
Vehicle Body Crashworthiness Occupant Protection Crash Regulations and Standards Battery Crash Protection Pedestrian Protection Traffic Accident Analysis and Reconstruction

Special Session XVII - Intelligent Suspension Systems and Advanced Control

Chair:	Co-Chairs:

Nong Zhang Tongji University, China	Wei Han Tongji University, China	Minyi Zheng Hefei University of Technology, China

Session Information:
With the continued electrification and increasing intelligence of vehicles, together with the deeper integration of chassis subsystems, suspension systems are evolving from passive vibration-isolation devices into intelligent systems capable of intelligent sensing, controllable actuation, adaptive decision-making, and coordinated control. This special session focuses on control theory and key enabling technologies for intelligent suspension systems, encompassing dynamic modeling, intelligent sensing and state estimation, novel controllable actuators, robust control, optimal control, predictive control, adaptive control, and learning-based control, as well as suspension-centered coordination with steering, braking, and traction systems. Contributions addressing validation through numerical simulation, software-in-the-loop testing, hardware-in-the-loop testing, test-rig experiments, and full-vehicle testing are also welcome. This special session aims to promote the close integration of modeling, control algorithms, actuation, and validation, thereby advancing academic exchange and technological development in intelligent suspension control and vehicle dynamics.

Below is an incomplete list of potential topics to be covered in the Track
Dynamic modeling, parameter identification, and uncertainty analysis of intelligent suspension systems System architectures and controllable actuation technologies for active, semi-active, and interconnected suspension systems Modeling, design, and control of novel suspension actuators Intelligent sensing, state estimation, and multi-source information fusion for suspension and vehicle states Road profile identification, preview sensing, and predictive suspension control Robust, nonlinear, optimal, and model predictive control of intelligent suspension systems Adaptive, data-driven, and learning-based control of intelligent suspension systems Fault diagnosis, fault-tolerant control, and reliability-oriented control of suspension systems Multi-objective coordinated control for vehicle ride comfort, handling stability, and tire road-holding performance Coordinated control of suspension, steering, braking, and traction systems, and integrated chassis control Simulation, software-in-the-loop, and hardware-in-the-loop validation of intelligent suspension control algorithms Test-rig experiments, full-vehicle testing, and engineering validation of intelligent suspension systems
Keywords:
Intelligent Suspension Systems Road Profile Sensing and State Estimation Controllable Actuation Advanced and Learning-Based Control Coordinated Chassis Control

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