Vehicle Dynamics Estimation and Fault Monitoring

Dear Colleagues,

The increasing complexity of modern vehicles, driven by advancements in electrification, connectivity, and autonomy, demands robust and intelligent systems for understanding vehicle behavior and ensuring operational safety. At the core of this challenge lies the need for the accurate estimation of vehicle dynamics and real-time fault monitoring.

This Special Issue aims to gather the latest research focused on methodologies for estimating vehicle states and monitoring system faults. The accurate estimation of key parameters, such as lateral velocity, sideslip angle, roll angle, tire-road friction, etc., allows for improved vehicle control and driver decision-making. At the same time, effective fault detection, isolation, and estimation enhances system reliability by detecting anomalies in sensors, actuators, or control logic before they lead to failures.

We invite original contributions addressing both model-based and data-driven approaches with relevance for conventional, electric, and autonomous vehicles. Submissions may include theoretical advancements, algorithm developments, simulation studies, or experimental validations.

Topics of interest include (but are not limited to) the following:

• Vehicle state and parameter estimation;
• Tire–road friction and force estimation;
• Sensor and actuator fault monitoring;
• Sensor fusion for dynamics and health monitoring;
• Data-driven vs. model-based monitoring approaches;
• Fault-tolerant estimation and control;
• Anomaly detection in connected and autonomous vehicles;
• Validation techniques, datasets, and benchmarks.

Dr. Fernando Viadero-Monasterio
Dr. Miguel Meléndez-Useros
Guest Editors

Manuscript Submission Information

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