Machine learning based steering torque non-uniformity compensation for a vehicle is enabled. For example, a system may include a memory storing a computer-executable component including a machine learning component configured to learn a position of a steering wheel of a vehicle based on machine learning applied to past steering data representing a position and a steering ratio of the steering wheel of the vehicle and a processor executing the computer-executable component stored in the memory, and a processor configured to execute the computer-executable component stored in the memory. The apparatus includes a machine learning section that generates a steering non-uniformity model, and a torque compensation section that determines a torque to be applied to a steering wheel using current position data representing a current position of the steering wheel and the steering non-uniformity model, the torque to be applied to the steering wheel configured to cancel steering non-uniformity at the current position.
启用用于车辆的基于机器学习的转向扭矩不均匀补偿。例如,系统可包括存储计算机可执行部件的存储器和执行存储在存储器中的计算机可执行部件的处理器,其中,计算机可执行部件包括:机器学习部件,基于应用于表示车辆的方向盘的位置和转向比的过去转向数据的机器学习,该机器学习部件生成转向不均匀模型,以及扭矩补偿部件,该扭矩补偿部件使用表示方向盘当前位置的当前位置数据和转向不均匀模型,确定要施加到方向盘的扭矩,该要施加到方向盘的扭矩配置为抵消在当前位置处的转向不均匀。
VEHICLE STEERING UNIFORM COMPENSATION
车辆转向不均匀补偿
06.06.2023
Patent
Elektronische Ressource
Chinesisch
IPC: | B62D MOTOR VEHICLES , Motorfahrzeuge |