期刊
JOURNAL OF POWER SOURCES
卷 487, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jpowsour.2020.229355
关键词
Lithium-ion; Degradation; Lifetime; Battery; Energy trading
资金
- VITO
- EPSRC [EP/S003053/1] Funding Source: UKRI
Lithium-ion batteries are increasingly used in liberalized electricity systems driven by economic optimization. A physics-based degradation model can decrease battery degradation and increase revenue. The approach increases battery lifetime in terms of years and cycles, while also improving revenue potential.
Lithium-ion batteries are increasingly being deployed in liberalised electricity systems, where their use is driven by economic optimisation in a specific market context. However, battery degradation depends strongly on operational profile, and this is particularly variable in energy trading applications. Here, we present results from a year-long experiment where pairs of batteries were cycled with profiles calculated by solving an economic optimisation problem for wholesale energy trading, including a physically-motivated degradation model as a constraint. The results confirm the conclusions of previous simulations and show that this approach can increase revenue by 20% whilst simultaneously decreasing degradation by 30% compared to existing methods. Analysis of the data shows that conventional approaches cannot increase the number of cycles a battery can manage over its lifetime, but the physics-based approach increases the lifetime both in terms of years and number of cycles, as well as the revenue per year, increasing the possible lifetime revenue by 70%. Finally, the results demonstrate the economic impact of model inaccuracies, showing that the physics-based model can reduce the discrepancy in the overall business case from 170% to 13%. There is potential to unlock significant extra performance using control engineering incorporating physical models of battery ageing.
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