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Semi-empirical aging model for predicting the capacity loss of lithium-ion batteries in stationary storage systems

Krupp, Amelie (2023) Semi-empirical aging model for predicting the capacity loss of lithium-ion batteries in stationary storage systems. Dissertation, Carl von Ossietzky Universität Oldenburg.

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Predicting battery lifetime is essential for the safe, sustainable, and profitable operation of battery systems. Reducing the measurement and parameterization effort and increasing model accuracy and extrapolation capability are current challenges for efficient battery aging modeling. This thesis presents an innovative semi-empirical battery aging model and applies it to optimize the operation of a hybrid system providing frequency containment reserve. The system consists of a lithium-ion battery coupled with a power-to-heat module. The defined holistic model includes physically based calendar and cyclic model equations describing selected aging mechanisms at the graphite anode. A focus was set on improving the parameterization of the model equations to increase the model extrapolation capability. First, the influence of the characterization measurement was quantified and considered. Second, a multi-step parameterization method is introduced for the cyclic aging model based on identifying aging modes via incremental capacity analysis. The success of the targeted parameterization was approved, for example, in identifying various stress factor dependencies of individual aging mechanisms. The models applicability to frequency containment reserve operation is validated on a dynamically aged cell with an application-related power profile. The economic analysis shows that operating the system at medium or high target state of charge and small to medium system sizes achieves the highest net present values. Furthermore, the battery lifetime is confirmed as the most critical factor influencing the system revenues at high FCR prices, which underlines the importance of optimizing operating strategies considering battery aging.

Item URL in elib:https://elib.dlr.de/203601/
Document Type:Thesis (Dissertation)
Title:Semi-empirical aging model for predicting the capacity loss of lithium-ion batteries in stationary storage systems
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Krupp, AmelieDLR-Institut für Vernetzte Energiesysteme e.V.https://orcid.org/0000-0003-1849-4507UNSPECIFIED
Date:May 2023
Open Access:Yes
Number of Pages:154
Keywords:Lithium-ion battery; Battery aging model; State of charge; Net present value; Frequency containment reserve; Power-to-heat module; Incremental capacity analysis; Calendar aging; Passive anode effect
Institution:Carl von Ossietzky Universität Oldenburg
Department:Fakultät für Mathematik und Naturwissenschaften
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Digitalization and System Technology
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Energy System Technology, E - Electrochemical Storage
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy System Technology
Deposited By: Beckmann, Robert
Deposited On:09 Apr 2024 12:50
Last Modified:09 Apr 2024 12:50

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