Analyzing Porpoising on High Downforce Race Cars: Causes and Possible Setup Adjustments to Avoid It

Article Engineering, Mechanical

Optimal tyre management for a high-performance race car

W. J. West et al.

Summary: This study investigates the management of tyre performance for a Formula One car using optimal control. The wear and friction of the tyres are modelled and optimized to extend the tyre life and improve race performance.

VEHICLE SYSTEM DYNAMICS (2022)

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Article Engineering, Mechanical

Three-dimensional fixed-trajectory approaches to the minimum-lap time of road vehicles

S. Lovato et al.

Summary: This paper discusses the application of minimum-lap-time simulations on three-dimensional roads, with an extension of the apex-finding method and the use of optimal control. Utilizing g-g-g diagrams, the study addresses the reconstruction of a smooth and drift-free racing line for noisy data-defined trajectories, implementing an optimal control approach. Application examples are given for both cars and motorcycles.

VEHICLE SYSTEM DYNAMICS (2022)

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Article Engineering, Mechanical

Time-optimal trajectory planning for a race car considering variable tyre-road friction coefficients

Fabian Christ et al.

Summary: This paper presents a method for planning time-optimal trajectories for autonomous race cars taking into account locally changing road friction values. The study utilizes curvilinear abscissa approach, CasADi software framework, and track friction maps to consider wheel-specific tyre-road friction coefficients, highlighting the significance of different friction coefficients in trajectory calculations.

VEHICLE SYSTEM DYNAMICS (2021)

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Article Mechanics

Analysis of driving styles of a GP2 car via minimum lap-time direct trajectory optimization

M. Gabiccini et al.

Summary: This paper explores the relationship between the driving style of an ideal driver and fundamental set-up parameters of a vehicle in the GP2 motorsport class. An optimization code is developed to quantitatively evaluate how these parameters affect the driving style, with promising results indicating the potential for enhancing vehicle performance through optimization based on optimal control problems.

MULTIBODY SYSTEM DYNAMICS (2021)

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Article Engineering, Mechanical

Minimum-lap-time optimisation and simulation

M. Massaro et al.

Summary: The paper discusses recent advancements in minimum-time simulation for road vehicles, covering steady-state and transient vehicle models as well as trajectory optimization. It also summarizes the fundamentals of nonlinear optimal control, which underpin most vehicular optimal control methodologies and solutions reported in the literature. Additionally, key features in three-dimensional road modeling, vehicle positioning, and vehicle modeling are highlighted with recent developments in mind.

VEHICLE SYSTEM DYNAMICS (2021)

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Article Energy & Fuels

Sensitivity of Racing Tire Sliding Energy to Major Setup Changes: An Estimate Based on Standard Sensors

Daniel Chindamo et al.

Summary: Understanding the energy exerted on tires is crucial in motorsport, especially in feeder categories like Formula 1 where tire numbers are limited to control costs. By knowing how setup changes affect tires and providing a scientific method for tire management, race engineers can maintain high performance levels throughout the entire race weekend.

ENERGIES (2021)

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Article Mechanics

Curved-ribbon-based track modelling for minimum lap-time optimisation

S. Lovato et al.

Summary: The research extends laterally-flat ribbon-type road model to include lateral curvature, accommodating changes in road camber across the track. A race track model with lateral curvature is constructed using high-resolution LiDAR measurement data, demonstrated on a NASCAR raceway.

MECCANICA (2021)

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Article Computer Science, Artificial Intelligence

Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling

Thomas Herrmann et al.

Summary: With the evolution of self-driving cars, autonomous racing series like Roborace and the Indy Autonomous Challenge are gaining increasing attention. Researchers hope to transfer developed technology to passenger vehicles to improve self-driving technology for safety, environmental, and social benefits.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2021)

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Article Chemistry, Multidisciplinary