Intelligent Approaches to Vehicle Dynamics and Control

Dear Colleagues,

The rapid advancement of vehicle electrification, autonomous driving, and software-defined vehicle (SDV) technologies is fundamentally transforming the scope of vehicle dynamics control and design. Conventional state feedback–based control paradigms are increasingly being replaced by integrated architectures that tightly couple high-precision state estimation, decision-making, and coordinated chassis and drivetrain actuation. As vehicles evolve toward higher levels of automation and electrification, the ability to accurately perceive vehicle states and road conditions and to translate this information directly into control and actuation has become a critical enabler of safety, performance, and energy efficiency.

In particular, recent progress in sensor fusion, artificial intelligence, and embedded computing has accelerated the development of advanced vehicle state estimation techniques, enabling more robust control under uncertainty, nonlinear dynamics, and varying road friction conditions. At the same time, the emergence of electrified chassis systems, such as Steer-by-Wire (SbW), Electro-Mechanical Brake (EMB), and electric actuator–based suspension systems, is rapidly expanding the control authority of modern vehicles while removing traditional mechanical constraints. These technologies, which are now approaching large-scale commercialization, introduce new challenges related to model uncertainty, fault tolerance, functional safety, and system integration.

This Special Issue, titled “Intelligent Approaches to Vehicle Dynamics and Control,” aims to provide a comprehensive forum for the latest research on intelligent, data-driven, and hybrid methodologies for vehicle dynamics analysis, control, and design. By building upon classical vehicle dynamics and control theory and integrating model-based approaches with machine learning and artificial intelligence, this Special Issue seeks to bridge the gap between theoretical developments and practical implementation in next-generation electrified and autonomous vehicles.

This is a call for papers for a Special Issue on “Intelligent Approaches to Vehicle Dynamics and Design.” This Special Issue welcomes original research articles, reviews, and short communications that present novel theoretical contributions, advanced simulation frameworks, experimental validation, and real-world deployment perspectives. Topics of interest include, but are not limited to, the following:

• Advanced vehicle state estimation and road friction estimation based on sensor fusion and AI;
• Integrated vehicle dynamics control architectures linking state estimation, control, and actuation;
• Control and safety-oriented design of electrified chassis systems, including steer-by-wire and EMB;
• Integrated chassis control of steering, braking, and suspension for electric and autonomous vehicles;
• Robust control and stability under uncertainty and low-friction driving conditions;
• Data-driven modeling, digital twins, and virtual verification methodologies;
• Validation through HIL/SIL platforms and real-world vehicle testing, including analysis of mass-production applicability.

Through the combination of theoretical insights, simulation studies, and experimental results, this Special Issue aims to highlight practical, scalable, and implementation-oriented vehicle dynamics technologies, providing both academic and industrial perspectives on integrated chassis design and control for future mobility systems.

Prof. Dr. Jeongwoo Lee
Guest Editor

Manuscript Submission Information

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• vehicle dynamics control for autonomous and electrified vehicles
• vehicle state estimation
• sensor fusion and artificial intelligence
• electrified chassis systems
• integrated chassis control
• steer-by-wire and electro-mechanical brake systems and control
• robust vehicle dynamics control
• software-defined vehicles