An algorithm that combines adaptive sytems with Electro-Motive-Force (EMF) measurements during equilibrium and current measurement and integration during (dis)charge states had been implemented in a real-time SoC evaluation system. During the discharge state also the effect of the overpotential is considered. The overpotential model includes a variety of parameters that are fhanging during cycling of the battery. Adaptive methods for the battery maximum capacity and for the overpotential model parameters are presented in this paper. The final aim is to predict the SoC and the remaining run-time of a Li-ion battery within 1% inaccuracy under all realistic user conditions.
|Tijdschrift||World Electric Vehicle Journal|
|Status||Gepubliceerd - 2007|
Pop, V., Bergveld, H. J., Danilov, D., Notten, P. H. L., & Regtien, P. P. L. (2007). Adaptive state-of-charge indication system for a Li-ion battery-powered devices. World Electric Vehicle Journal, 1, 38-45.