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Hybrid energy storage systems of energy- and power-dense batteries: a survey on modelling techniques and control methods

  • The impact of global warming and climate change has forced countries to introduce strict policies and decarbonization goals toward sustainable development. To achieve the decarbonization of the economy, a substantial increase of renewable energy sources is required to meed energy demand and to transition away from fossil fuels. However, renewables are sensitive to environmental conditions, which may lead to imbalances between energy supply and demand. Battery energy storage systems are gaining more attention for balancing energy systems in existing grid networks at various levels such as bulk power management, transmission and distribution, and for end-users. Integrating battery energy storage systems with renewables can also solve reliability issues related to transient energy production and be used as a buffer source for electrical vehicle fast charging. Despite these advantages, batteries are still expensive and typically built for a single application – either for an energy- or power-dense application – which limits economic feasibility and flexibility. This paper presents a theoretical approach of a hybrid energy storage system that utilizes both energy- and power-dense batteries serving multiple grid applications. The proposed system will employ second use electrical vehicle batteries in order to maximise the potential of battery waste. The approach is based on a survey of battery modelling techniques and control methods. It was found that equivalent circuit models as well as unified control methods are best suited for modelling hybrid energy storages for grid applications. This approach for hybrid modelling is intended to help accelerate the renewable energy transition by providing reliable energy storage.

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Metadaten
Author:Jayachandra Malavatu, Reyn O’Born, Peter KepplingerORCiD, Bernhard Faessler
DOI:https://doi.org/10.1016/j.procir.2022.02.193
ISSN:2212-8271
Parent Title (English):Procedia CIRP
Document Type:Article
Language:English
Year of publication:2022
Release Date:2022/06/15
Volume:o.Jg.
Issue:Bd. 105: 29th CIRP Life Cycle Engineering Conference
First Page:794
Last Page:798
Organisationseinheit:Forschung / Forschungszentrum Energie
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
JEL-Classification:C Mathematical and Quantitative Methods
Open Access?:ja
Peer review:wiss. Beitrag, peer-reviewed
Publicationlist:Kepplinger, Peter
Licence (German):License LogoCreative Commons - CC BY - NC - ND - 4.0 International - Attribution - NonCommercial –NoDerivs - Namensnennung - Nicht kommerziell - Keine Bearbeitungen