Online Battery Monitoring for State-of-Charge and Power Capability Prediction
Date
2010-12-15Author
Juang, Larry
Advisor(s)
Lorenz, Robert
Jahns, Thomas
Metadata
Show full item recordAbstract
This document presents an investigation of a proposed methodology that uses
system identification techniques to implement a monitoring system for lead-acid
batteries in an electric vehicle. Specifically, the information that the proposed
methodology provides can help estimate the energy remained in the battery bank (Stateof-
Charge (SOC)) and the power capability of the battery bank (State-of-Function
(SOF)). A combination of analytical and experimental techniques has been devised to
construct an equivalent circuit model that includes a diffusion voltage term for the
OPTIMA D34M battery used in the WEMPEC Corbin Sparrow vehicle. In addition,
the document analyzes a set of actual road trip data from the WEMPEC Corbin
Sparrow to demonstrate the proposed model?s potential use for diagnosing the relative
state-of-health (SOH) of individual batteries. Detailed discussions of the limitations
and assumptions associated with the model, as well as other possible alternatives, are
included in the document. The performance capabilities of the proposed method for
estimating battery SOC and SOF are evaluated against experimental data with an
emphasis on electric vehicle (EV) operations.