When aiming to improve the performance of industrial sports cars at the limits of driving dynamics, the passive vehicle setup should be tuned under consideration of the actuator configuration and the control system capabilities. To objectively quantify the performance of given vehicle settings, minimum lap times can be determined using optimal control methods. The computed trajectories can be used to assess the benefits of certain actuators as well as to identify optimal vehicle setups and control strategies. This paper analyses the effect of rear-axle steering, longitudinal torque allocation via transfer case and selected vehicle parameters on lap time. The optimal roll moment distribution and longitudinal position of the centre of gravity are identified via concurrent optimisation. The optimal lap trajectories are generated by numerically solving a minimum-time optimal control problem using direct Hermite-Simpson collocation. To eliminate the problem of an unknown initial solution, the authors present an initialisation routine for vehicular optimal control problems. Moreover, a novel approach for the generation of smooth track curvature data is introduced.

当旨在在驾驶动力学极限下提高工业跑车的性能时，应在考虑执行器配置和控制系统能力的情况下调整被动车辆设置。为了客观地量化给定车辆设置的性能，可以使用最佳控制方法确定最短单圈时间。计算出的轨迹可用于评估某些执行器的优势以及确定最佳车辆设置和控制策略。本文分析了后桥转向、通过分动箱的纵向扭矩分配和选定的车辆参数对单圈时间的影响。通过并行优化确定最佳侧倾力矩分布和重心纵向位置。最佳搭接轨迹是通过使用直接 Hermite-Simpson 搭配对最小时间最佳控制问题进行数值求解而生成的。为了消除未知初始解的问题，作者提出了车辆最优控制问题的初始化程序。此外，还介绍了一种生成平滑轨道曲率数据的新方法。