Papaioannou Georgios, Maroof Vallan, Jerrelind Jenny, Drugge Lars
Cognitive Robotics, TU Delft, 2628 CD Delft, The Netherlands.
The Centre for ECO2 Vehicle Design, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden.
Sensors (Basel). 2024 May 16;24(10):3179. doi: 10.3390/s24103179.
Effective emission control technologies and eco-friendly propulsion systems have been developed to decrease exhaust particle emissions. However, more work must be conducted on non-exhaust traffic-related sources such as tyre wear. The advent of automated vehicles (AVs) enables researchers and automotive manufacturers to consider ways to further decrease tyre wear, as vehicles will be controlled by the system rather than by the driver. In this direction, this work presents the formulation of an optimal control problem for the trajectory optimisation of automated articulated vehicles for tyre wear minimisation. The optimum velocity profile is sought for a predefined road path from a specific starting point to a final one to minimise tyre wear in fixed time cases. Specific boundaries and constraints are applied to the problem to ensure the vehicle's stability and the feasibility of the solution. According to the results, a small increase in the journey time leads to a significant decrease in the mass loss due to tyre wear. The employment of articulated vehicles with low powertrain capabilities leads to greater tyre wear, while excessive increases in powertrain capabilities are not required. The conclusions pave the way for AV researchers and manufacturers to consider tyre wear in their control modules and come closer to the zero-emission goal.
为了减少尾气颗粒物排放,人们已经开发出了有效的排放控制技术和环保推进系统。然而,对于诸如轮胎磨损等与交通相关的非尾气排放源,还需要开展更多工作。自动驾驶车辆(AV)的出现使研究人员和汽车制造商能够考虑进一步减少轮胎磨损的方法,因为车辆将由系统而非驾驶员控制。在此方向上,本文提出了一个最优控制问题,用于优化自动铰接式车辆的轨迹,以最小化轮胎磨损。对于从特定起点到终点的预定义道路路径,寻求最优速度曲线,以在固定时间情况下最小化轮胎磨损。对该问题应用了特定的边界和约束条件,以确保车辆的稳定性和解决方案的可行性。根据结果,行驶时间的小幅增加会导致因轮胎磨损造成的质量损失显著减少。采用动力系统能力较低的铰接式车辆会导致更大的轮胎磨损,而不需要过度增加动力系统能力。这些结论为自动驾驶车辆研究人员和制造商在其控制模块中考虑轮胎磨损并更接近零排放目标铺平了道路。