| KEYWORD |
Longitudinal acceleration compensation control through electric powertrain torque modulation
Tesi all'estero
Parole chiave SIMULATION, VEHICLE DYNAMICS
Riferimenti ALESSANDRO VIGLIANI
Riferimenti esterni Prof Aldo Sorniotti (university of Surrey, UK)
Ing Pietro Stano (university of Surrey, UK)
Gruppi di ricerca Meccanica del Veicolo
Tipo tesi MODELLISTICA E SIMULAZIONE
Descrizione Road irregularities induce vertical and longitudinal vibrations of the sprung and unsprung masses, which affect vehicle comfort. While the vertical dynamics and related compensation techniques are extensively covered by the suspension control literature, the longitudinal dynamics on uneven road surfaces are less frequently addressed, and are significantly influenced by the tires and suspension systems. Electric powertrains, e.g., on-board and in-wheel powertrains, in conjunction with pre-emptive control based on the information on the road profile ahead, have some potential for effective compensation. The target of this project is to explore AI or distributed control solutions for reducing the longitudinal acceleration oscillations caused by road irregularities. The resulting algorithm/s will be implemented in a simulation environment, e.g., Matlab/Simulink, and then tested on a real vehicle, i.e., the ZEBRA (picture below), fully equipped with the most advanced sensors for vehicle control assessment and control units for algorithms deployment (dSPACE MicroAutobox III). Moreover, a further thesis proposal concerns the possibility of testing control algorithms already developed on a Range Rover Evoque in collaboration with Tenneco Automotive, Sint-Truiden, Belgium.
Vedi anche call_for_thesis_usurrey_long_ctrl.pdf
Conoscenze richieste -MATLAB & Simulink programming
- Python
- Knowledge of control engineering (e.g., gained from university courses)
- AI (highly desirable but not essential as it will be learnt during the project)
- Proactivity
Scadenza validita proposta 14/04/2023
PROPONI LA TUA CANDIDATURA