A versatile and modular modeling framework for diverse storage unit simulations

Dicke P, Resch S, Steinbacher F, Luther M, German R (2021)

Publication Language: English

Publication Type: Journal article

Publication year: 2021

Journal

Journal of Energy Storage Elsevier

Pages Range: 102758

Journal Issue: 40

URI: https://www.sciencedirect.com/science/article/pii/S2352152X21004837

DOI: 10.1016/j.est.2021.102758

Open Access Link: https://www.sciencedirect.com/science/article/pii/S2352152X21004837

Abstract

Electrochemical batteries are becoming more essential for our increasingly renewable powered society every day. Therefore, the capability to simulate the behavior of these systems gains importance as well.  Each storage unit from the broad technology spectrum comes with its own inherent characteristics and peculiarities proving it difficult to simulate various systems with one universal modeling approach. That however, is the most economical solution considering the effort-benefit ratio. In this work we therefore present and discuss a modular, highly versatile modeling methodology composed of several adapted submodels. The concept is able to simulate electrochemical storage units of diverging technologies as well as system size. Furthermore, it accounts for nonlinearities occurring due to current-voltage characteristics, current-rate as well as temperature dependencies, self-discharge, peripheral influence and aging phenomena. We outline benefits but also challenges of the approach and additionally showcase its sufficient fidelity, straightforward parametrization and versatility. Comprehensive simulation results are presented for a lithium-ion single cell as well as for four distinct storage systems of application relevant capacities, namely a lithium-ion rack, a valve-regulated lead-acid unit, an all-vanadium redox-flow battery and a high-temperature sodium-nickel-chloride system.

Authors with CRIS profile

Paul Dicke Computer Science 7 (Computer Networks and Communication Systems) Simon Resch Lehrstuhl für Elektrische Energiesysteme Matthias Luther Lehrstuhl für Elektrische Energiesysteme Reinhard German Computer Science 7 (Computer Networks and Communication Systems)

Related research project(s)

Multi Battery Systems - Hybrid and New Storage Simulation Tool (Multi Battery Systems (MBS)) May 1, 2017 - April 30, 2020

Involved external institutions

Siemens AG, Sector Corporate Technology DE Germany (DE)

How to cite

APA:

Dicke, P., Resch, S., Steinbacher, F., Luther, M., & German, R. (2021). A versatile and modular modeling framework for diverse storage unit simulations. Journal of Energy Storage, 40, 102758. https://doi.org/10.1016/j.est.2021.102758

MLA:

Dicke, Paul, et al. "A versatile and modular modeling framework for diverse storage unit simulations." Journal of Energy Storage 40 (2021): 102758.

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