Development of estimation algorithms for vehicle's mass and road grade
- Title
- Development of estimation algorithms for vehicle's mass and road grade
- Author
- 허건수
- Keywords
- Mass estimation; Road grade; RLS(Recursive Least Square); Longitudinal/lateral dynamics
- Issue Date
- 2013-12
- Publisher
- Springer Science + Business Media
- Citation
- International Journal of Automotive Technology, Vol.14, No.6 [2013], p889-895
- Abstract
- In controlling the longitudinal motion of electrified vehicles such as hybrid vehicles and PHEV (Plug-in Hybrid Electric Vehicles), the variation of the driving resistance loads (or driving loads) such as road grade and actual vehicle mass, is the most influential factor which limits the control performance. Measuring the driving load is not impossible, but it is costly since additional sensors have to be mounted on the vehicle. In this study, methods for estimating vehicle mass and road grade are designed to compensate for the driving loads. The proposed methods are verified using simulation tools and then evaluated experimentally.
- URI
- http://link.springer.com/article/10.1007%2Fs12239-013-0097-9http://hdl.handle.net/20.500.11754/46353
- ISSN
- 1229-9138
- DOI
- 10.1007/s12239?013?0097?9
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML