基于双轴加速度的车辆坡度优化算法研究

Research of Vehicle Slope Optimization Algorithm Based on Dual-axis Acceleration

随着汽车智能化发展,车载产品模块对信号实时性和准确性的要求越来越高。坡度值一般由传感器模块采集加速度信息并结合整车的某些信号计算得出,但经过计算的坡度值在一些特定工况下会出现跳变不准的现象。针对上述问题,本文提出一种考虑横向、纵向加速度以及挡位影响的车辆坡度优化算法。试验表明该算法能有效抑制不同工况下坡度值的跳变,提高了坡度信号的准确性和稳定性。

With the development of automobile intelligence,vehicle-mounted product have increasingly higher requirements for signal real-time and accuracy.The slope value is generally calculated by collecting acceleration information from the sensor module and combining certain signals of the whole vehicle,but the calculated slope value may jump inaccurately under some specific working conditions.Aiming at the above problem,this paper proposes a vehicle slope algorithm that considers the effects of lateral and longitudinal acceleration and gears.Experiments showed that the algorithm can effectively restrain the slope value jump under different working conditions and improve the accuracy of the gradient signal.