摘要
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.
| 投稿的翻译标题 | Estimation of Vehicle Mass and Road Slope Based on Steady-state Kalman Filter |
|---|---|
| 源语言 | 繁体中文 |
| 页（从-至） | 1062-1067 and 1075 |
| 期刊 | Qiche Gongcheng/Automotive Engineering |
| 卷 | 40 |
| 期 | 9 |
| DOI | |
| 出版状态 | 已出版 - 25 9月 2018 |
关键词
- Acceleration sensor
- Carsim/Simulink co-simulation
- Road slope
- Steady-state Kalman filter
- Vehicle mass