Adaptive on-line prediction of the available power of lithium-ion batteries
Authors:
- Wladislaw WaagWWWladislaw Waag
- Christian FleischerCFChristian Fleischer
- Dirk Uwe SauerDirk Uwe Sauer
- 1 November 2013
- journal article
- Published by Elsevier in Journal of Power Sources
- Vol. 242, 548-559
Abstract
No abstract availableThis publication has 6 references indexed in Scilit:
- On-line estimation of lithium-ion battery impedance parameters using a novel varied-parameters approachJournal of Power Sources, 2013
- Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the applicationApplied Energy, 2013
- Power prediction from a battery state estimator that incorporates diffusion resistanceJournal of Power Sources, 2012
- Model-based dynamic multi-parameter method for peak power estimation of lithium–ion batteriesApplied Energy, 2012
- Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop ApproachEnergies, 2012
- High-Performance Battery-Pack Power Estimation Using a Dynamic Cell ModelIEEE Transactions on Vehicular Technology, 2004