NDLI: Model-based calibration for battery characterization in HEV applications

Content Provider	IEEE Xplore Digital Library
Author	Hu, Y. Yurkovich, S. Guezennec, Y. Bornatico, R.
Copyright Year	2008
Description	Author affiliation: Center for Automotive Res., Ohio State Univ., Columbus, OH (Hu, Y.; Yurkovich, S.; Guezennec, Y.; Bornatico, R.)
Abstract	In hybrid electric vehicle (HEV) applications, unlike electric vehicles, operation with the battery system requires control in a relatively limited range of state-of-charge (SoC), where best efficiency, gradual aging, and no self-damaging operations are expected. In this context, one of the main, critical technical challenges is the estimation of the SoC under vehicle operations, which typically do not involve full charging or discharging. This task is particularly arduous to accomplish in real-time, due to the complex and nonlinear behavior of the battery, as well as the inevitable presence of on-board measurement errors. In this work, we describe a model-based calibration process for capturing the important characteristics of modern batteries used in typical HEV applications. This process consists of reproducible procedural steps, including pre-specified data collection, while ultimately admitting a calibration. The resulting models are useful in HEV system control design for algorithms centered on maintaining the battery SoC, in algorithms for prognostics and diagnostics, and in prediction and estimation tasks.
Starting Page	318
Ending Page	325
File Size	803157
Page Count	8
File Format	PDF
ISBN	9781424420780
ISSN	07431619
DOI	10.1109/ACC.2008.4586510
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Calibration Batteries Hybrid electric vehicles Automotive engineering State estimation Aging Measurement errors Predictive models Control design Production
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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