Title :
Lithium-ion battery state of charge estimation using a fractional battery model
Author :
Francisco, J.M. ; Sabatier, J. ; Lavigne, L. ; Guillemard, F. ; Moze, M. ; Tari, M. ; Merveillaut, M. ; Noury, A.
Author_Institution :
PSA Peugeot Citroen, Velizy-Villacoublay, France
Abstract :
With the development of hybrid and electric vehicles, automobile battery management systems (BMS) play a key role for a safe and optimal use of the battery within the powertrain. These systems have to give critical information on state of health, state of charge and available power for example. The accuracy of the information manipulated by the BMS depends on the embedded battery model accuracy. In this paper, we present a new State Of Charge (SOC) estimation algorithm based on a fractional battery model, for use in real-time in an automotive BMS.
Keywords :
automobiles; battery management systems; battery powered vehicles; secondary cells; SOC estimation algorithm; automobile battery management systems; electric vehicles; fractional battery model; lithium-ion battery state of charge estimation; Batteries; Electrodes; Estimation error; Integrated circuit modeling; Observers; System-on-chip; Battery Management System (BMS); Lithium-ion batteries; State-Of-Charge (SOC); estimation; fractional model;
Conference_Titel :
Fractional Differentiation and Its Applications (ICFDA), 2014 International Conference on
Conference_Location :
Catania
DOI :
10.1109/ICFDA.2014.6967413
