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Location-Aware Adaptive Vehicle Dynamics System: Concept Development

机译:位置感知的自适应车辆动力学系统:概念开发

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One seminal question that faces a vehicle's driver (either human or computer) is predicting the capability of the vehicle as it encounters upcoming terrain. A Location-Aware Adaptive Vehicle Dynamics (LAAVD) System is developed to assist the driver in maintaining vehicle handling capabilities through various driving maneuvers. In contrast to current active safety systems, this system is predictive rather than reactive. This work provides the conceptual groundwork for the proposed system. The LAAVD System employs a predictor-corrector method in which the driver's input commands (throttle, brake, steering) and upcoming driving environment (terrain, traffic, weather) are predicted. An Intervention Strategy uses a novel measure of handling capability, the Performance Margin, to assess the need to intervene. The driver's throttle and brake control are modulated to affect desired changes to the Performance Margin in a manner that is minimally intrusive to the driver's control authority. Real-time implementation requires the development of computationally efficient predictive models of the powertrain and vehicle dynamics. A simulation demonstrates the implementation of the system during a simple driving maneuver. The status of the project, including future work, is described.
机译:面对车辆驾驶员(人类或计算机)的一个开创性问题是,预测车辆遇到即将到来的地形时的能力。开发了一种位置感知的自适应车辆动力学(LAAVD)系统,以帮助驾驶员通过各种驾驶操作来保持车辆的操纵能力。与当前的主动安全系统相比,该系统是预测性的,而不是被动的。这项工作为建议的系统提供了概念基础。 LAAVD系统采用了一种预测校正器方法,可以预测驾驶员的输入命令(油门,刹车,转向)和即将到来的驾驶环境(地形,交通,天气)。干预策略使用一种新颖的处理能力衡量标准,即“绩效保证金”来评估干预的必要性。调节驾驶员的油门和制动器控制,以最小程度地侵犯驾驶员的控制权限的方式影响性能裕度的所需更改。实时实施需要开发动力总成和车辆动力学的计算有效的预测模型。仿真演示了在简单的驾驶操纵过程中系统的实现。描述了项目的状态,包括将来的工作。

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