| KEYWORD |
Predictive controllers for optimal thermal management and energy saving of electric powertrains: design and validation using IPG CarMaker
keywords AI FEATURES, ELECTRIC DRIVETRAINS, HUMAN DRIVER INTEGRATION, PREDICTIVE CONTROLLERS, VEHICLE DYNAMICS
Reference persons LUCA DIMAURO, ALDO SORNIOTTI
External reference persons Luca Ciravegna
Research Groups 13-Meccanica del veicolo
Thesis type NUMERICAL SIMULATION
Description As part of the European project CliMAFlux, a thesis opportunity is available focusing on the development of predictive controllers for thermal management and energy optimization of innovative electric powertrains. The proposed controllers will incorporate AI-based features, including considerations for system lifetime. Following the design phase, the controllers will be tested and validated using IPG CarMaker within a driving simulator environment, integrating the controllers with a human driver.
See also msc_proposal_climaflux.pdf
Deadline 30/06/2025
PROPONI LA TUA CANDIDATURA