Vehicle Mass Estimation for Hydraulic Drive System using Longitudinal Motion Model
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | The Fourteenth Scandinavian International Conference on Fluid Power, SICFP15 |
| Publisher | Tampere University of Technology. Department of Intelligent Hydraulics and Automation |
| Pages | 433-442 |
| Number of pages | 10 |
| ISBN (Electronic) | 978-952-15-3530-7 |
| Publication status | Published - May 2015 |
| Publication type | A4 Article in a conference publication |
| Event | Scandinavian International Conference on Fluid Power - Duration: 1 Jan 1900 → … |
Publication series
| Name | The Fourteenth Scandinavian International Conference on Fluid Power, SICFP15 |
|---|---|
| ISSN (Electronic) | 2342-2726 |
Conference
| Conference | Scandinavian International Conference on Fluid Power |
|---|---|
| Period | 1/01/00 → … |
Abstract
The real-time mass estimation of the vehicle is applied for the machine with the hydraulic drive system. The mass estimation is based on the longitudinal drive model comprising the model of hydraulic drive transmission. The resistance forces of the longitudinal motion such as the air drag, rolling resistance and
friction of the drive system are modelled. The actual mass of the vehicle is deduced from the measured hydraulic torque and from the force causing the acceleration. As the aerodynamic drag, rolling resistance, road grade load and transmission losses have a significant share from the total drive torque, the effects of these forces are taken account. Further, the estimated mass data is classified by recognising operation conditions where the mass estimation is accurate. After a short acceleration-deceleration period, the measured signals provide enough data for estimating the mass of the vehicle. The experimental tests are run with a middle-size wheel loader and with a typical work cycle resulting ±5% accuracy from the real mass. Furthermore, the proposed model and recognition of the operation conditions are applicable to estimate also other vehicle parameters such as friction force or road grade.
friction of the drive system are modelled. The actual mass of the vehicle is deduced from the measured hydraulic torque and from the force causing the acceleration. As the aerodynamic drag, rolling resistance, road grade load and transmission losses have a significant share from the total drive torque, the effects of these forces are taken account. Further, the estimated mass data is classified by recognising operation conditions where the mass estimation is accurate. After a short acceleration-deceleration period, the measured signals provide enough data for estimating the mass of the vehicle. The experimental tests are run with a middle-size wheel loader and with a typical work cycle resulting ±5% accuracy from the real mass. Furthermore, the proposed model and recognition of the operation conditions are applicable to estimate also other vehicle parameters such as friction force or road grade.
Keywords
- Longitudinal motion, mass estimation, hydraulic drive system, wheel loader