TY - GEN
T1 - Addressing the Observability Problem in Batteries
T2 - 2020 American Control Conference, ACC 2020
AU - Sattarzadeh, Sara
AU - Dey, Satadru
AU - Colclasure, Andrew
AU - Smith, Kandler
N1 - Funding Information:
This work was authored in part by Alliance for Sustainable Energy, LLC, the manager and operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding is provided in part by the National Renewable Energy Laboratory via subcontract no. XCE-9-92129-01 (under prime contract no. DE-AC36-08GO28308), and National Science Foundation under award no. 1908560. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.
Funding Information:
*This work was supported in part by the National Renewable Energy Laboratory via subcontract no. XCE-9-92129-01 (under prime contract no. DE-AC36-08GO28308), and National Science Foundation under award no. 1908560.
Publisher Copyright:
© 2020 AACC.
PY - 2020/7
Y1 - 2020/7
N2 - From real-time battery estimation viewpoint, weak observability of individual electrode states from terminal voltage measurement is a major barrier. Nevertheless, such electrode-level information can help expand usable energy/power as well as lifespan of the battery cell by enabling electrode-level limit based battery control. Motivated by these promising improvements, we present a real-time framework for estimating charge and health of individual electrodes. Essentially, the weak observability of the electrodes is addressed by decomposing the overall estimation problem into two sub-estimators that work in a cascaded manner to provide charge and health information for individual electrodes. The performance of the proposed scheme is illustrated by using an experimentally identified battery model that considers essential nonlinearities in electrodes' Open Circuit Potential (OCP) functions and resistances as well as dominant Solid Electrolyte Interphase (SEI) aging mechanism. Simulation case studies are presented based on this identified model which validate the effectiveness of the proposed framework.
AB - From real-time battery estimation viewpoint, weak observability of individual electrode states from terminal voltage measurement is a major barrier. Nevertheless, such electrode-level information can help expand usable energy/power as well as lifespan of the battery cell by enabling electrode-level limit based battery control. Motivated by these promising improvements, we present a real-time framework for estimating charge and health of individual electrodes. Essentially, the weak observability of the electrodes is addressed by decomposing the overall estimation problem into two sub-estimators that work in a cascaded manner to provide charge and health information for individual electrodes. The performance of the proposed scheme is illustrated by using an experimentally identified battery model that considers essential nonlinearities in electrodes' Open Circuit Potential (OCP) functions and resistances as well as dominant Solid Electrolyte Interphase (SEI) aging mechanism. Simulation case studies are presented based on this identified model which validate the effectiveness of the proposed framework.
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U2 - 10.23919/ACC45564.2020.9147307
DO - 10.23919/ACC45564.2020.9147307
M3 - Conference contribution
AN - SCOPUS:85089591048
T3 - Proceedings of the American Control Conference
SP - 1131
EP - 1136
BT - 2020 American Control Conference, ACC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 July 2020 through 3 July 2020
ER -