Battery power management in heavy-duty HEVs based on the estimated critical surface charge Online publication date: Wed, 05-Dec-2012
by Tae-Kyung Lee; Youngki Kim; Denise M. Rizzo; Zoran S. Filipi
International Journal of Vehicle Design (IJVD), Vol. 61, No. 1/2/3/4, 2013
Abstract: This paper proposes a battery power management strategy using Critical Surface Charge (CSC) information estimated by Extended Kalman Filter (EKF) in real time. The insight from CSC characterisation is used to propose a novel approach for supervisory control design of a series Hybrid Electric Vehicle (HEV). The underlying phenomenon determining the battery allowable power limits is closely connected to the CSC. The estimated CSC is processed with a Finite Impulse Response (FIR) filter to smoothen short-term fluctuations and highlight longer-term trajectories. The battery allowable power limits are adjusted based on the filtered CSC information to prevent undesirable battery operations.
Online publication date: Wed, 05-Dec-2012
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