道路车辆能耗模拟用驾驶员模型的验证
Validation of a driver model for energy consumption simulations of road vehicles
浏览论文内容
中文总结 AI 辅助
本文设计了一种与运行工况框架兼容的简单驾驶员模型，通过驾驶模拟器研究和实车日志验证，发现该模型可高效再现驾驶员行为主要影响，需进一步研究评估其有效性。
中文摘要 AI 辅助
传统上，道路车辆的能源性能评估采用行驶循环，无论是在仿真中还是通过实车，都需跟踪规定的速度曲线。近期研究提出了一种基于运行工况的替代框架，该框架通过道路地形、法定限速、交通状况和天气等因素描述驾驶环境，而非采用明确的速度曲线。本文研究的是驾驶员建模这一互补问题，该建模是将运行工况转化为速度曲线所必需的；文中设计了一种与运行工况框架兼容的简单驾驶员模型，并对其再现真实驾驶行为的能力进行了研究。该模型的验证通过受控驾驶模拟器研究完成，实际运行中收集的车辆日志文件被用于识别模型参数并评估其预测性能。结果表明，该简单模型在再现驾驶员行为的主要影响方面是高效的，但仍需进一步研究以全面评估其有效性。
英文摘要
The energy performance of road vehicles has traditionally been evaluated using driving cycles, in which a prescribed speed profile is tracked either in simulation or by a physical vehicle. Recent research has proposed an alternative framework based on operating conditions, where the driving environment is described in terms of factors such as road topography, legal speed limits, traffic, and weather, rather than by an explicit speed profile. This paper addresses the complementary problem of driver modeling, necessary to translate the operating conditions to a speed profile. A simple driver model designed to be compatible with the operating-condition framework and evaluates its ability to reproduce realistic driving behavior is investigated. Validation of the model is done through a controlled driving-simulator study vehicle log files collected during real-world operation and are used to identify the model parameters and assess the model's predictive performance. The results suggest that this simple model can be efficient in reproducing major effects of driver behavior, while further research is required to fully assess its validity.
