An adaptive Kalman filtering based State of Charge combined estimator for electric vehicle battery pack
- 1 December 2009
- journal article
- Published by Elsevier in Energy Conversion and Management
- Vol. 50 (12), 3182-3186
- https://doi.org/10.1016/j.enconman.2009.08.015
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- A Design of an Optimal Battery Pulse Charge System by Frequency-Varied TechniqueIEEE Transactions on Industrial Electronics, 2007
- Support vector machine based battery model for electric vehiclesEnergy Conversion and Management, 2006
- State of charge Kalman filter estimator for automotive batteriesControl Engineering Practice, 2006
- Intelligent Control Battery Equalization for Series Connected Lithium-Ion Battery StringsIEEE Transactions on Industrial Electronics, 2005
- A New Online State-of-Charge Estimation and Monitoring System for Sealed Lead–Acid Batteries in Telecommunication Power SuppliesIEEE Transactions on Industrial Electronics, 2005
- Battery Choice and Management for New-Generation Electric VehiclesIEEE Transactions on Industrial Electronics, 2005
- Estimating the state of charge of a batteryIEEE Transactions on Control Systems Technology, 2005
- STUDY ON ESTIMATING OF THE STATE OF CHARGE OF NI/MH BATTERY PACK FOR ELECTRIC VEHICLEChinese Journal of Mechanical Engineering, 2005
- Support vector based battery state of charge estimatorJournal of Power Sources, 2004
- Methods for state-of-charge determination and their applicationsJournal of Power Sources, 2001