.png){kind=icon}
.png){kind=icon}
Return
Minimum-lap-time optimisation and simulation
.png){kind=icon}
OA
AI
DOI：10.1080/00423114.2021.1910718.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The paper begins with a survey of advances in state-of-the-art minimum-time simulation for road vehicles. The techniques covered include both quasi-steady-state and transient vehicle models, which are combined with trajectories that are either pre-assigned or free to be optimised. The fundamentals of nonlinear optimal control are summarised. These fundamentals are the basis of most of the vehicular optimal control methodologies and solution procedures reported in the literature. The key features of three-dimensional road modelling, vehicle positioning and vehicle modelling are also summarised with a focus on recent developments. Both cars and motorcycles are considered.
Keywords:
Lap-time simulation
optimisation
road modelling
quasi-steady-state
optimal control
nonlinear programming
g-g map
free-trajectory
Formula One
MotoGP
NASCAR
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
V
IF:
3.9
Papers:
3.1K
Citations:
8.9K