通过算法减少可变阻尼减震器中传感器的使用数量

Algorithmically reduces the number of sensors in automotive variable damping shock absorbers

本文主要研究了通过软件计算来减少汽车可变阻尼减震器(CDC)的传感器数量的可行性。CDC可变阻尼减震器通常需要多个位移传感器和多个加速度传感器,同时会需要车载惯性测量单元(IMU)和车载自适应大灯高度信号进行分析处理。这里主要研究了两种方案:1、通过位移传感器和IMU的信号推算出加速度传感器的信号,从而取代加速度传感器;2、通过车身的6自由度IMU和大灯高度信号取消所有加速度和位移传感器。减少更多的传感器会着降低更多的成本,传递到市场就可以使更多的用户在在自己可以接受的价格区间享受更好的驾驶体验。然而减少更多的传感器很可能提高了产生更多的误差的概率。这篇文章通过MATLAB进行仿真、构建算法模型和采集实车信号从而评估减少传感器数量的可行性。

This paper mainly studies the feasibility of reducing the number of sensors in automotive variable damping shock absorbers(CDC)through software calculations.CDC variable damping shock absorbers usually require multiple displacement sensors and multiple acceleration sensors,and also require vehicle-mounted inertial measurement units(IMU)and vehicle-mounted adaptive headlight height signals for analysis and processing.Two solutions are mainly studied here:1.Use the signals of the displacement sensor and IMU to calculate the signal of the acceleration sensor,thereby replacing the acceleration sensor;2.Use the 6-degree-of-freedom IMU of the body and the headlight height signal to cancel all acceleration and displacement sensors.Reducing more sensors will reduce more costs,and when delivered to the market,more users can enjoy a better driving experience at a price range they can accept.However,removing more sensors likely increases the probability of generating more errors.This article uses MATLAB to simulate,build algorithm models and collect real vehicle signals to evaluate the feasibility of reducing the number of sensors.