Minimum Lap Time Simulation Framework: Active Aerodynamics and Torque Distribution

The Minimum Lap Time Problem (MLTP) simulation framework is an optimisation tool designed to simultaneously optimise a vehicle’s trajectory, control inputs, and selected design parameters to achieve the fastest possible lap time for a given track. It employs an optimal control approach with direct collocation, leveraging CasADi and IPOPT to define and solve the optimisation problem. The MLTP framework builds on the original work by Zarzuelo and Siampis [1] and the extensions by Jiménez et al. [2], expanding its capabilities with a more advanced vehicle model and enhanced optimisation functionalities, including active aerodynamics and active torque distribution configurations. The optimisation framework is applied to the DrivAer hp-F high-performance vehicle model and has been tuned for the Circuit de Barcelona-Catalunya. It includes design optimisation parameters, such as the distribution of drive torque, brake torque, and roll stiffness, as well as a nominal tyre load shift parameter to analyse tyre characteristics. The MLTP framework has a modular structure, making it a versatile tool for broader applications in vehicle performance optimisation. It enables adaptation to different vehicles and tracks while allowing extensions such as alternative vehicle models, aerodynamic concepts, and design parameters. Users applying it to new scenarios should establish new initialisation cases and re-tune optimisation parameters to ensure viable solutions. This dataset is associated with the following publications: Rijns, S., Teschner, T. R., Blackburn, K., Siampis, E., & Brighton, J. (2024). Optimising Vehicle Performance with Advanced Active Aerodynamic Systems [In Review]. Advanced Vehicle Engineering Centre, Cranfield University. Rijns, S., Teschner, T. R., Blackburn, K., Siampis, E., & Brighton, J. (2024). Performance Optimisation of High-Performance Vehicles with Active Aerodynamics and Active Torque Distribution Capabilities [In Review]. Advanced Vehicle Engineering Centre, Cranfield University. References: [1] Adrián Zarzuelo, Efstathios Siampis (2022). MLTP (https://www.mathworks.com/matlabcentral/fileexchange/119398-mltp), MATLAB Central File Exchange. [2] Jiménez Elbal, A., Zarzuelo Conde, A., & Siampis, E. (2024). Simultaneous Optimisation of Vehicle Design and Control for Improving Vehicle Performance and Energy Efficiency Using an Open Source Minimum Lap Time Simulation Framework. World Electric Vehicle Journal, 15(8), 366. https://doi.org/10.3390/wevj15080366

最小单圈时间问题（Minimum Lap Time Problem, MLTP）仿真框架是一款优化工具，可针对指定赛道同时优化车辆行驶轨迹、控制输入与选定设计参数，以实现最快单圈时间。该框架采用直接配点法的最优控制方法，借助CasADi与IPOPT工具完成优化问题的定义与求解。

本MLTP框架基于Zarzuelo与Siampis的原创研究[1]及Jiménez等人的扩展成果[2]，通过引入更先进的车辆模型与增强的优化功能（涵盖主动空气动力学与主动扭矩分配配置）拓展了其性能边界。

本优化框架适配DrivAer hp-F高性能车辆模型，并针对加泰罗尼亚巴塞罗那赛道完成参数调校。其涵盖的设计优化参数包括驱动扭矩分配、制动扭矩分配、侧倾刚度，以及用于分析轮胎特性的名义轮胎载荷偏移参数。

MLTP框架采用模块化结构，可作为通用工具应用于更广泛的车辆性能优化场景。该框架可适配不同车辆与赛道，同时支持扩展定制，例如更换车辆模型、调整空气动力学设计方案或新增设计参数。若将该框架应用于全新场景，用户需构建新的初始化案例并重新调校优化参数，以确保获得可行的求解结果。

本数据集关联以下研究成果：
Rijns, S., Teschner, T. R., Blackburn, K., Siampis, E., & Brighton, J. (2024). 基于先进主动空气动力学系统的车辆性能优化[待审]. 克兰菲尔德大学先进车辆工程中心.
Rijns, S., Teschner, T. R., Blackburn, K., Siampis, E., & Brighton, J. (2024). 具备主动空气动力学与主动扭矩分配能力的高性能车辆性能优化[待审]. 克兰菲尔德大学先进车辆工程中心.

参考文献：
[1] Adrián Zarzuelo, Efstathios Siampis (2022). MLTP（https://www.mathworks.com/matlabcentral/fileexchange/119398-mltp）, MATLAB Central文件交换库.
[2] Jiménez Elbal, A., Zarzuelo Conde, A., & Siampis, E. (2024). 基于开源最小单圈时间仿真框架的车辆设计与控制联合优化：提升车辆性能与能源利用效率. 世界电动汽车期刊, 15(8), 366. https://doi.org/10.3390/wevj15080366

搜集汇总

背景与挑战

背景概述

该数据集是一个最小圈时问题（MLTP）仿真框架，专注于通过优化车辆轨迹、控制输入和设计参数来实现最快圈速，特别集成了主动空气动力学和主动扭矩分配功能。它基于DrivAer hp-F高性能车辆模型，并针对巴塞罗那-加泰罗尼亚赛道进行了调整，具有模块化结构，适用于广泛的车辆性能优化应用。