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


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


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.

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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


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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