State-of-charge estimation of lead-acid batteries using an adaptive extended Kalman filter
- 15 March 2009
- journal article
- research article
- Published by Elsevier BV in Journal of Power Sources
- Vol. 188 (2), 606-612
- https://doi.org/10.1016/j.jpowsour.2008.11.143
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 1: Introduction and state estimationJournal of Power Sources, 2006
- Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2: Simultaneous state and parameter estimationJournal of Power Sources, 2006
- State-of-the-art of battery state-of-charge determinationMeasurement Science and Technology, 2005
- Extended Kalman filtering for battery management systems of LiPB-based HEV battery packsJournal of Power Sources, 2004
- Extended Kalman filtering for battery management systems of LiPB-based HEV battery packsJournal of Power Sources, 2004
- Extended Kalman filtering for battery management systems of LiPB-based HEV battery packsJournal of Power Sources, 2004
- Methods for state-of-charge determination and their applicationsJournal of Power Sources, 2001
- Adaptive Kalman Filtering for INS/GPSJournal of Geodesy, 1999
- Approaches to adaptive filteringIEEE Transactions on Automatic Control, 1972
- A New Approach to Linear Filtering and Prediction ProblemsJournal of Basic Engineering, 1960