Title :
Sensitivity-based interval PDE observer for battery SOC estimation
Author :
Perez, H.E. ; Moura, S.J.
Author_Institution :
Civil & Environ. Eng., Univ. of California, Berkeley, Berkeley, CA, USA
Abstract :
Complex multi-partial differential equation (PDE) electrochemical battery models are characterized by parameters that are often difficult to measure or identify. This parametric uncertainty influences the state estimates of electrochemical model-based observers for applications such as state-of-charge (SOC) estimation. This paper develops a sensitivity-based interval observer that maps bounded parameter uncertainty to state estimation intervals, within the context of electrochemical PDE models and SOC estimation. Theoretically, this paper extends the notion of interval observers to PDE models using a sensitivity-based approach. Practically, this paper quantifies the sensitivity of battery state estimates to parameter variations, enabling robust battery management schemes.
Keywords :
battery management systems; estimation theory; partial differential equations; secondary cells; battery SOC estimation; battery management schemes; electrochemical PDE models; electrochemical battery model; electrochemical model-based observers; multipartial differential equation; parameter uncertainty; sensitivity-based interval PDE observer; sensitivity-based interval observer; state estimation intervals; state-of-charge estimation; Batteries; Mathematical model; Observers; Sensitivity; System-on-chip; Uncertainty;
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
DOI :
10.1109/ACC.2015.7170756