A prediction model based on artificial neural network for surface temperature simulation of nickel–metal hydride battery during charging
- 15 June 2012
- journal article
- research article
- Published by Elsevier BV in Journal of Power Sources
- Vol. 208, 378-382
- https://doi.org/10.1016/j.jpowsour.2012.02.059
Abstract
No abstract availableFunding Information
- National 973 Program of China (2009CB220100)
This publication has 16 references indexed in Scilit:
- Mathematical modeling of a lithium ion battery with thermal effects in COMSOL Inc. Multiphysics (MP) softwareJournal of Power Sources, 2011
- Thermal analysis of a cylindrical lithium-ion batteryElectrochimica Acta, 2011
- ANN modeling of water consumption in the lead-acid batteriesJournal of Power Sources, 2007
- A three-dimensional thermal abuse model for lithium-ion cellsJournal of Power Sources, 2007
- ANN modeling of cold cranking test for sealed lead-acid batteriesJournal of Power Sources, 2006
- Thermal analysis of rapid charging nickel/metal hydride batteriesJournal of Power Sources, 2006
- Thermal Behavior of Small Nickel/Metal Hydride Battery during Rapid Charge and Discharge CyclesJournal of the Electrochemical Society, 2005
- Thermal behavior analysis of nickel metal hydride batteries for electric vehiclesJSAE Review, 2000
- Thermal behaviour of nickel/metal hydride batteries during charge and dischargeJournal of Power Sources, 1998
- A General Energy Balance for Battery SystemsJournal of the Electrochemical Society, 1985