A storage degradation model of Li-ion batteries to integrate ageing effects in the optimal management and design of an isolated microgrid
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DOI: 10.1016/j.apenergy.2022.120584
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References listed on IDEAS
- Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Han, Xuebing & Ouyang, Minggao, 2015. "Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach," Applied Energy, Elsevier, vol. 139(C), pages 151-162.
- Rigo-Mariani, Rémy & Chea Wae, Sean Ooi & Mazzoni, Stefano & Romagnoli, Alessandro, 2020. "Comparison of optimization frameworks for the design of a multi-energy microgrid," Applied Energy, Elsevier, vol. 257(C).
- Radet, Hugo & Roboam, Xavier & Sareni, Bruno & Rigo-Mariani, Rémy, 2021. "Dynamic aware aging design of a simple distributed energy system: A comparative approach with single stage design strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
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Cited by:
- Koláček, Jan & Vališ, David & Fuksová, Mária & Hlinka, Jiří & Procházka, Petr, 2025. "Perspective modelling and measuring discharge voltage on truncated data of long-term stored Li-ion batteries based on functional state space model," Applied Energy, Elsevier, vol. 377(PB).
- Ahmed Mohamed & Rémy Rigo-Mariani & Vincent Debusschere & Lionel Pin, 2023. "Stacked Revenues for Energy Storage Participating in Energy and Reserve Markets with an Optimal Frequency Regulation Modeling," Post-Print hal-04182119, HAL.
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Keywords
Battery degradation; Energy management strategy; Microgrid design; Dynamic programming;All these keywords.
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