Abstract
In view of that the automatic transmission control system of vehicle is difficult to measure the vehicle mass and road slope, the longitudinal kinematic and dynamic models of vehicle are built, based on which discrete Kalman filter is used to estimate vehicle mass and road slope. The co-simulation with Carsim and Maltab/Simulink and the real vehicle test with proper acceleration sensor and steady-state Kalman filter verify that using the method proposed to estimate vehicle mass and road slope has better real-time performance and accuracy than those obtained from inertial navigator.
| Translated title of the contribution | Estimation of Vehicle Mass and Road Slope Based on Steady-state Kalman Filter |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 1062-1067 and 1075 |
| Journal | Qiche Gongcheng/Automotive Engineering |
| Volume | 40 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 25 Sept 2018 |