Battery power management in heavy-duty HEVs based on the estimated critical surface charge
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

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Design (IJVD):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email