Knowledge of actual tire-road friction potential is most relevant for safe operation of automated vehicles and for adjusting advanced driverassist systems. Aquaplaning may result in considerably reduced friction potential and unstable vehicle behavior for rear-wheel-drive vehicles; thus, awareness of risk of aquaplaning is crucial. Analysis of numerous measurements from driving on wet road surfaces, including, for example, different water levels, types of tires, tire inflation pressures, and tire wear, has revealed characteristic dynamic behavior of vehicles and their subsystems that could be related to an immediately approaching onset or the presence of aquaplaning. Thus, methods to detect such characteristic behavior are developed, and a combined detection algorithm based on effect-based criteria to detect the risk or presence of aquaplaning for rear-wheel-drive vehicles is proposed. The effectiveness and limitations of the individual methods, as well as the reliability of the presented algorithm, are shown based on measurements from test maneuvers.

中文翻译：

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使用基于效果的方法进行打滑检测：一种基于最少传感器组、电子稳定控制和驱动扭矩的方法


了解实际的轮胎与路面摩擦力对于自动驾驶车辆的安全操作和调整先进的驾驶员辅助系统最为相关。打滑可能会导致后轮驱动车辆的摩擦力显着降低和车辆行为不稳定；因此，对滑水风险的认识至关重要。对在潮湿路面上行驶的大量测量数据进行分析，包括不同的水位、轮胎类型、轮胎充气压力和轮胎磨损，揭示了车辆及其子系统的特征动态行为，这些行为可能与立即接近的车辆有关。发生或存在滑水。因此，开发了检测此类特征行为的方法，并提出了一种基于基于效果的标准的组合检测算法来检测后轮驱动车辆滑水的风险或存在。基于测试操作的测量结果显示了各个方法的有效性和局限性以及所提出算法的可靠性。