Action-integrated modeling and optimization of energy-related driver-vehicle interaction

能量相关的驾驶员-车辆交互的动作集成建模和优化

• 批准号: 498999989
• 负责人: Professor Dr. Thomas Franke
• 金额: --
• 依托单位: Institut für Multimediale und Interaktive Systeme (IMIS)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/498999989?language=en
• 关键词: Action; integrated; modeling; optimization; energy

Energy efficiency is increasingly becoming a design criterion for human-machine systems. For dynamic contexts such as vehicle control, there is a great need for interdisciplinary research on the modeling, optimization, and representation of energy efficiency in human-in-the-loop settings. To this end, the project integrates two central lines of research: (1) research on driver- and situation-adaptive energy-related optimization strategies (control-oriented modeling & optimization of energy efficiency) and (2) research on energy-related driver-vehicle interaction (psychological modeling & optimization of energy-related action regulation). In this project, both lines of research are combined into an engineering psychology and control engineering based modeling and optimization of energy-related driver-vehicle interactions in battery electric vehicles (BEV) via action-integrated energy efficiency representations. The focus lies on (1) the representation of drivers as part of this optimization and (2) the empirical investigation of the effect of different representation approaches for energy efficiency on (a) the integrated performance of the human-machine system and (b) the experience of users during action regulation, with special attention paid to the role of diversity characteristics (user diversity). The project considers a control concept in which drivers are directly involved in the energy-optimal control and explicitly considered in the control strategy (driver-in-the-loop). Human action regulation (e.g. situational weighing of goals such as time efficiency, energy efficiency and comfort, while ensuring safety) is not replaced by automated vehicle control, but assisted by action-integrated representations of energy dynamics (informing system). The project thus investigates a control engineering approach to energy-related human-machine couplings, on which hardly any research work has been done so far. [Project Phase-1] pursues 3 research goals: (1) the development and calibration of an integrated driving-energy simulation, (2) the development of theoretical-methodological foundations, and (3) the analysis, synthesis, and testing of energy-relevant driving scenarios. [Project Phase-2] investigates on this basis 3 structural approaches to human-machine coupling via energy displays through (1) sensorimotor-oriented, (2) efficiency-oriented, and (3) rule-based representations of optimal behavior. The key hypothesis of the project is that these optimization-based representations of energy efficiency can achieve advantages in terms of energy efficiency and user experience in action regulation when compared to conventional representations of energy efficiency according to energy/distance metrics.

能源效率日益成为人机系统的设计标准。对于车辆控制等动态环境，非常需要对人机交互环境中能源效率的建模、优化和表示进行跨学科研究。为此，该项目整合了两个中心研究方向：（1）驾驶员和情境自适应能源相关优化策略研究（面向控制的建模和能源效率优化）和（2）能源相关驾驶员与车辆交互研究（心理建模和能源相关动作调节优化）。在该项目中，这两个研究方向结合到基于工程心理学和控制工程的模型中，并通过动作集成能效表示对电池电动汽车 (BEV) 中与能量相关的驾驶员-车辆交互进行优化。重点在于（1）驾驶员的表示作为优化的一部分，以及（2）实证研究能源效率的不同表示方法对（a）人机系统的综合性能和（b）用户在行为调节过程中的体验的影响，特别关注多样性特征（用户多样性）的作用。该项目考虑了一种控制概念，其中驾驶员直接参与能量优化控制，并在控制策略中明确考虑（驾驶员在环）。人类行为调节（例如，在确保安全的同时，对时间效率、能源效率和舒适度等目标进行情境权衡）不会被自动车辆控制所取代，而是得到能量动态的行动集成表示（通知系统）的辅助。因此，该项目研究了一种与能源相关的人机耦合的控制工程方法，迄今为止几乎没有任何研究工作。 [项目第一阶段]追求3个研究目标：（1）集成驾驶能量模拟的开发和校准，（2）理论方法基础的发展，以及（3）与能量相关的驾驶场景的分析、综合和测试。 [项目第 2 阶段] 在此基础上，通过 (1) 感觉运动导向、(2) 效率导向和 (3) 基于规则的最佳行为表示，研究通过能量显示实现人机耦合的 3 种结构方法。该项目的关键假设是，与根据能量/距离指标的传统能源效率表示相比，这些基于优化的能源效率表示可以在行动调节的能源效率和用户体验方面取得优势。