SAE Technical Paper Series 2018
DOI: 10.4271/2018-01-0587
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Virtual Optimization of Race Engines Through an Extended Quasi Steady State Lap Time Simulation Approach

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Cited by 4 publications
(2 citation statements)
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“…With the rise of the autonomous driving and more sophisticated on-board control logics, due to the growing need to reproduce vehicle dynamics behaviour with the highest level of accuracy at the lowest possible cost, the vehicle modelling and simulation tools concerning the understanding and the reproduction of the tyre-road interaction phenomena have acquired a significant weight [4,5]. From the modelling point of view, the research effort has been therefore addressed to the modelling and estimation of all those quantities not directly acquirable even with the state of art sensing technology, but which could represent a key factor in the continuous improvement of control algorithms and logics to be employed in the increasing expansion of interconnected and smart vehicles [4][5][6][7][8]. Different approaches for modelling the tyre thermomechanical behaviour can be found in literature [9][10][11][12][13] as well as various practical case studies [3,[14][15][16], which testify the attention payed to the topic.…”
Section: Introductionmentioning
confidence: 99%
“…With the rise of the autonomous driving and more sophisticated on-board control logics, due to the growing need to reproduce vehicle dynamics behaviour with the highest level of accuracy at the lowest possible cost, the vehicle modelling and simulation tools concerning the understanding and the reproduction of the tyre-road interaction phenomena have acquired a significant weight [4,5]. From the modelling point of view, the research effort has been therefore addressed to the modelling and estimation of all those quantities not directly acquirable even with the state of art sensing technology, but which could represent a key factor in the continuous improvement of control algorithms and logics to be employed in the increasing expansion of interconnected and smart vehicles [4][5][6][7][8]. Different approaches for modelling the tyre thermomechanical behaviour can be found in literature [9][10][11][12][13] as well as various practical case studies [3,[14][15][16], which testify the attention payed to the topic.…”
Section: Introductionmentioning
confidence: 99%
“…Still, that is around 5-10 times (depending on the vehicle) the actual lap time. In addition, the authors of the QSS technique in reference [19] stated that their method is "for design phase decisions but not for a fast trackside usage".…”
Section: Introductionmentioning
confidence: 99%