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Research Article
Apr 15, 2019

State-of-Charge Uncertainty of Lithium-Ion Battery Packs Considering the Cell-to-Cell Variability

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 5, Issue 2

Abstract

Accurate state-of-charge (SOC) estimation of lithium-ion battery packs is technically challenging because of the cell-to-cell variability due to the manufacturing tolerance. In addition, there is no unanimous definition of the pack SOC since each cell has its own SOC and the pack can be configured in different ways. This study first adopts a suitable pack SOC definition among existing ones, then proposes uncertainty modeling and propagation analysis for pack SOC estimation considering the cell-to-cell variability, and finally conducts the SOC estimation for one serially connected battery pack using the one state hysteresis model with the extended Kalman filter (EKF). The results reveal that pack SOC variability is inevitable due to the cell-to-cell variability and accurate pack SOC estimation is challenging considering both the cell-level SOC accuracy and the pack-level estimation efficiency. This article is available in the ASME Digital Collection at https://doi.org/10.1115/1.4042847.

Information & Authors

Information

Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 5Issue 2June 2019

History

Received: Sep 16, 2018
Revision received: Jan 17, 2019
Published online: Apr 15, 2019
Published in print: Jun 1, 2019

Authors

Affiliations

Modjtaba Dahmardeh
Department of Industrial and Systems Engineering, Rutgers, The State University of New Jersey, 96 Frelinghuysen Road, Piscataway, NJ 08854
Zhimin Xi
Department of Industrial and Systems Engineering, Rutgers, The State University of New Jersey, 96 Frelinghuysen Road, Piscataway, NJ 08854

Funding Information

Defense Advanced Research Projects Agency10.13039/100000185: Young Faculty Award
National Science Foundation10.13039/100000001: 1507198

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