Subjective-Objective Assessment of Different Torque Vectoring Control Strategies

With the increasing demand for enhanced vehicle performance and handling dynamics, torque vectoring has become a key technology in contemporary automotive engineering. Over the years, various control algorithms have been developed and their performance assessed using objective metrics that measure a vehicle's ability to follow a reference quantity for lateral dynamics. However, this evaluation approach is limited as it does not consider feedback from actual drivers. This paper addresses this critical gap by incorporating drivers’ subjective evaluations through Driver-in-the-Loop simulations. The study conducts a comprehensive analysis of both objective metrics and subjective driver assessments, investigating the impact of different torque vectoring control strategies on vehicle dynamics. By correlating quantitative metrics with human perception, this integrated approach enhances the understanding of the effectiveness of torque vectoring control strategies and their real-world implications for driver satisfaction.