Optimisation of driver actions in RWD race car including tyre thermodynamics
Autor
Maniowski, Michał
Opublikowane w
Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility
Numeracja
iss. 4, vol. 54
Strony
1-19
Data wydania
2016
Wydawca
Taylor & Francis
Język
angielski
ISSN
0042-3114
Słowa kluczowe
optimisation, thermal behaviour, driver–vehicle systems, driving simulator, tyre dynamics
Abstrakt
The paper presents an innovative method for a lap time minimisation by using genetic algorithms for a multi objective optimisation of a race driver–vehicle model. The decision variables consist of 16 parameters responsible for actions of a professional driver (e.g. time traces for brake, accelerator and steering wheel) on a race track part with RH corner. Purpose-built, high fidelity, multibody vehicle model (called ‘miMa’) is described by 30 generalised coordinates and 440 parameters, crucial in motorsport. Focus is put on modelling of the tyre tread thermodynamics and its influence on race vehicle dynamics. Numerical example considers a Rear Wheel Drive BMW E36 prepared for track day events. In order to improve the section lap time (by 5%) and corner exit velocity (by 4%) a few different driving strategies are found depending on thermal conditions of semi-slick tyres. The process of the race driver adaptation to initially cold or hot tyres is explained.
