The invention belongs to the technical field of vehicle automation, and provides a vehicle muddy ground walking method, system and device, a medium and a product, and the method comprises the steps: obtaining muddy ground environment data through a sensor; inputting the muddy land environment data into a trained environment evaluation model to obtain a muddy land condition; inputting the mud ground condition into a trained power adjustment model, or processing the mud ground condition by adopting a preset power adjustment algorithm to obtain a vehicle power strategy; adjusting a power system of the vehicle based on the vehicle power strategy; according to the method, the muddy land environment data collected by the sensor is processed through the machine learning algorithm, the optimal driving condition in the current muddy land environment can be quickly and accurately predicted, the misjudgment risk caused by lack of an effective muddy land condition evaluation means is overcome, a corresponding power adjustment scheme is formulated according to the evaluation result, and the power adjustment efficiency is improved. And it is ensured that the vehicle can keep the optimal performance under different muddy ground conditions, and wheel slipping caused by insufficient power or excessive output is avoided.
本发明属于车辆自动化技术领域,提供了一种车辆泥地行走方法、系统、设备、介质及产品,包括通过传感器获取泥地环境数据;将所述泥地环境数据输入至训练好的环境评估模型,得到泥地状况;将所述泥地状况输入至训练好的动力调整模型中,或采用预设的动力调整算法处理所述泥地状态,得到车辆动力策略;基于所述车辆动力策略,调整车辆的动力系统;本发明的方法通过机器学习算法处理传感器收集的泥地环境数据,能够快速准确地预测当前泥地环境下的最佳行驶条件,克服了缺乏有效泥地状况评估手段导致的误判风险,并且根据评估结果制定相应的动力调整方案,确保车辆在不同泥地条件下都能保持最佳性能,避免因动力不足或过量输出造成的车轮打滑。
Vehicle muddy ground walking method, system, equipment, medium and product
一种车辆泥地行走方法、系统、设备、介质及产品
16.05.2025
Patent
Elektronische Ressource
Chinesisch
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