Matteo La Pietra
Integrated control of the longitudinal acceleration oscillations and longitudinal tyre slip through the correction of the powertrain torque.
Rel. Aldo Sorniotti, Davide Lazzarini, Antonio Tota, Luca Dimauro. Politecnico di Torino, Master of science program in Automotive Engineering, 2025
Abstract
The rapid diffusion of electric vehicles (EVs) has stimulated significant advancements in vehicle control system research, aiming to enhance both performance and comfort. One particularly promising approach involves the use of four on-board electric motors that can independently control the torque at each wheel. This provides high flexibility in managing the vehicle’s dynamics such as traction, stability, and handling capabilities. However, it also introduces complex challenges in real-time control, especially when aiming to mitigate longitudinal vibrations, prevent jerk effects and maintain optimal traction across a range of road conditions. The problem of real-time control can be anyway managed implementing innovative technologies and control methodologies such as artificial intelligence, which are less computationally expensive in terms of time and hardware needed.
This thesis focuses on the design and implementation of a Nonlinear Model Predictive Control (NMPC) strategy that integrates three essential functions: vibration reduction, anti-jerk control, and traction control
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