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Optimal design of distributed braking system for electric vehicles
The increasing electrification of automotive subsystems is driving the development of advanced mechatronic braking solutions capable of delivering high performance, robustness, and efficiency under a wide range of operating conditions. In particular, single-corner braking systems that integrate electric machines with mechanical braking components represent a promising architecture for future brake-by-wire and electro-mechanical brake applications. This Read more
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Study and Optimization of Automotive Suspension Systems Considering Nonlinear Dynamics
Automotive suspension systems play a fundamental role in determining vehicle ride comfort, road holding, and overall handling performance. Modern vehicles operate over a wide range of driving conditions in which suspension components exhibit significant nonlinear behavior due to geometric effects, nonlinear stiffness characteristics, damping properties, and the interaction with road irregularities. The aim of this Read more
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Lateral Dynamics and Stability Analysis of Electric Scooters
The rapid diffusion of electric scooters as a means of urban transportation has raised significant concerns regarding their dynamic stability and rider safety, particularly in lateral maneuvers such as cornering, obstacle avoidance, and low-speed balancing. Despite their widespread use, the lateral dynamics of electric scooters remain less investigated than those of motorcycles or bicycles, especially Read more
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Effectiveness of GLOSA in mixed traffic conditions
GLOSA (Green Light Optimal Speed Advisory) can significantly improve traffic flow by helping drivers adjust their speed to pass through intersections during green phases, thereby reducing unnecessary stops, delays, and congestion. This results in smoother driving patterns and lower emissions. However, the effectiveness of GLOSA depends on factors such as traffic density and the market Read more
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Development of a multi-vehicle GLOSA
The Green Light Optimal Speed Advisory (GLOSA) is one of the most significant applications in intelligent transportation systems. Existing GLOSA methods compute an advisory speed profile that allows a vehicle to reach one or more intersections during the green phase, thereby reducing travel time and fuel consumption. However, current GLOSA approaches optimize the speed of Read more
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Optimizing indoor tyre testing for repeatable, comparable data
The enhancement of virtual engineering demands continuous improvement in tyre modelling capabilities and in the consistency of model development processes. Most tyre models are parameterized using flat-trac machines equipped with sandpaper belts that simulate road surfaces. While these tests generally provide a reliable representation of tyre behaviour, achieving high repeatability and ensuring comparability across different Read more
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Correlation and scaling of indoor to outdoor tyre behaviour
Tyre behaviour is traditionally assessed through indoor tests performed on flat-track machines and outdoor tests conducted with skid-trailers. However, discrepancies frequently arise between indoor and outdoor results. These differences stem from several factors, including: The aim of this thesis is to investigate the root causes of these discrepancies and to improve the correlation between indoor Read more
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Modeling and control of hybrid powertrain for heavy duty vehicles
This thesis focuses on the modeling and control of hybrid powertrains for heavy-duty vehicles. A comprehensive dynamic model of the powertrain is developed, accounting for the interaction between the internal combustion engine, electric machines, energy storage system, and transmission. Control strategies for power split, energy management, and drivability optimization are investigated under representative operating conditions. Read more
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High-frequency mechanical characterization of rubber compounds
This thesis addresses the high-frequency mechanical characterization of rubber compounds, developed in cooperation with Pirelli. The study focuses on the experimental and analytical identification of the dynamic properties of elastomeric materials under high-frequency excitation, relevant to tire and automotive applications. Advanced testing methodologies are employed to evaluate stiffness, damping, and viscoelastic behavior over a wide Read more
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Study of the effect of different vehicle models on the lap time optimization
This thesis focuses on the study of the influence of different vehicle dynamic models on lap time optimization, with particular attention to how model fidelity affects optimal control solutions and predicted vehicle performance. Lap time optimization is a central topic in motorsport engineering and high-performance vehicle development, where numerical simulation and optimal control techniques are Read more