Direct Collocation for Minimum Lap Time Planning of Articulated Vehicles with Independent Steering, Torque, and Camber Control

This study investigates a vehicle equipped with independent steering, torque, and camber control for each wheel, modeled using a multibody approach. The vehicle model is embedded into a minimum lap time problem, employing a direct collocation formulation. The optimization algorithm utilized is a hybrid Articulated Body Algorithm (ABA). Following a detailed description of the vehicle model, the study presents results from the optimization of the vehicle's performance on sections of the Nordschleife-Nürburgring circuit and a kart track in Siena. These results are analyzed to evaluate the impact of the vehicle's features on overall lap time and driving style. In the final chapter, a temperature-dependent tire model is introduced, and a subsequent data set is provided to demonstrate the effects of tyre temperature on lap time.

Publication Details

Journal
Electronic Theses and Dissertations Repository (University of Pisa)
Published
2024-10-05
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
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article

Direct Collocation for Minimum Lap Time Planning of Articulated Vehicles with Independent Steering, Torque, and Camber Control

Electronic Theses and Dissertations Repository (University of Pisa)
Magnetic confinement fusion research
article

Direct Collocation for Minimum Lap Time Planning of Articulated Vehicles with Independent Steering, Torque, and Camber Control

article en

Abstract

This study investigates a vehicle equipped with independent steering, torque, and camber control for each wheel, modeled using a multibody approach. The vehicle model is embedded into a minimum lap time problem, employing a direct collocation formulation. The optimization algorithm utilized is a hybrid Articulated Body Algorithm (ABA). Following a detailed description of the vehicle model, the study presents results from the optimization of the vehicle's performance on sections of the Nordschleife-Nürburgring circuit and a kart track in Siena. These results are analyzed to evaluate the impact of the vehicle's features on overall lap time and driving style. In the final chapter, a temperature-dependent tire model is introduced, and a subsequent data set is provided to demonstrate the effects of tyre temperature on lap time.

Electronic Theses and Dissertations Repository (University of Pisa)
Openalex Percentile: Top 55%
Magnetic confinement fusion research
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