Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles
- 1 January 2014
- journal article
- Published by Elsevier BV in Energy
- Vol. 64, 953-960
- https://doi.org/10.1016/j.energy.2013.11.061
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (51205228)
This publication has 19 references indexed in Scilit:
- Capacity fade and aging models for electric batteries and optimal charging strategy for electric vehiclesEnergy, 2013
- Screening process-based modeling of the multi-cell battery string in series and parallel connections for high accuracy state-of-charge estimationEnergy, 2013
- Battery prices and capacity sensitivity: Electric drive vehiclesEnergy, 2012
- Conditions for the successful deployment of electric vehicles – A global energy system perspectiveEnergy, 2012
- Opportunities and challenges for a sustainable energy futureNature, 2012
- Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehiclesEnergy, 2012
- A review on prognostics and health monitoring of Li-ion batteryJournal of Power Sources, 2011
- Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehiclesEnergy, 2011
- Estimation of State of Charge of a Lithium-Ion Battery Pack for Electric Vehicles Using an Adaptive Luenberger ObserverEnergies, 2010
- Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 1. BackgroundJournal of Power Sources, 2004