Degradation of energy capacity and energy efficiency of lithium-ion battery energy storage systems depend on their operation conditions and are key factors in their business case feasibility. Using traditional energy reservoir models with energy throughput methods to quantify degradation leads to less accurate revenue estimates and unfeasible dispatch scenarios. This paper proposes a new neural network-based model of a lithium-ion battery energy storage system that replicates both degradation process and energy efficiency as functions of the operating conditions…
Authors: Anton V Vykhodtsev, Fatemeh Shakeri Hosseinabad, Darren Jang, Qianpu Wang, William Rosehart, Hamidreza Zareipour
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