Battery energy storage system modeling: A combined comprehensive approach

Dubarry, Matthieu; Baure, George; Pastor-Fernández, Carlos; Yu, Tung Fai; Widanage, Widanalage Dhammika; Marco, James

doi:10.1016/j.est.2018.11.012

Cited by 58 publications

(18 citation statements)

References 84 publications

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“…Based on the area of interest and the properties to be investigated, there are a variety of models in use today which simulate the electrochemical, thermal, mechanical and energetic performance [46]. System level stationary BESS models with varying levels of details have been proposed in the literature [47], which aim to address the scaling up of the system from a single cell model to a module and rack level model. These models focus primarily on the core component of the BESS, which is the battery system and the battery management system (BMS).…”

Section: Discussionmentioning

confidence: 99%

Topology and Efficiency Analysis of Utility-Scale Battery Energy Storage Systems

Parlikar¹,

Hesse²,

Jossen³

2019

Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)

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Energy storage is an important flexibility measure to stabilize and secure the electrical energy supply system. Lithium-ion battery energy systems (BESS) are, owing to their characteristics, uniquely poised to support and augment the functioning of the energy supply system. It is crucial to identify and analyze the factors which play a role in their efficient and effective operation. This paper identifies and analyses three such major factors-application scenarios, power electronics with power distribution strategies, and battery parameters which influence the efficiency of a BESS. The applications analyzed are primary control reserve and peak shaving. Two Power electronics topologies and their load distribution strategies are presented, with their influence on the conversion efficiency being evaluated subsequently. Two commercial lithium-ion technologies-a Lithium Iron Phosphate cathode/Graphite anode cell and a Lithium Nickel Manganese Cobalt Oxide cathode/Graphite anode cell are also simulated for two states of health (SOH). The aged cells are considered to possess a capacity equal to 80% of original nominal capacity and a cell resistance twice that of the new cells. It is found that the system conversion efficiency can be greatly improved in applications with low active chargebased and high temporal utilization ratios by deploying a suitable power electronics topology and load distribution strategy. For applications with high active charge-based and low temporal utilization ratios, the battery resistance and the serial-parallel combination play an important role.

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Section: Discussionmentioning

confidence: 99%

Topology and Efficiency Analysis of Utility-Scale Battery Energy Storage Systems

Parlikar¹,

Hesse²,

Jossen³

2019

Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)

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“…The entirety of the degradation paths should be tested. If this is not possible experimentally, modeling solutions should be considered [10,95,96]. In some cases, the capacity is shown to be increased after performing an RPT compared to the last cycles before the RPT.…”

Section: Duty Cyclementioning

confidence: 99%

Perspective on Commercial Li-ion Battery Testing, Best Practices for Simple and Effective Protocols

Dubarry

Baure

2020

Electronics

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Validation is an integral part of any study dealing with modeling or development of new control algorithms for lithium ion batteries. Without proper validation, the impact of a study could be drastically reduced. In a perfect world, validation should involve testing in deployed systems, but it is often unpractical and costly. As a result, validation is more often conducted on single cells under control laboratory conditions. Laboratory testing is a complex task, and improper implementation could lead to fallacious results. Although common practice in open literature, the protocols used are usually too quickly detailed and important details are left out. This work intends to fully describe, explain, and exemplify a simple step-by-step single apparatus methodology for commercial battery testing in order to facilitate and standardize validation studies.

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“…While storage remains immature compared to legacy utilities, the literature shows that it is attracting increased research attention (Bera et al 2019, Dubarry et al 2019. Many software packages have been enhanced and updated to encircle built-in storage modules that facilitate the duties of modelers for dispatch and long-term planning purposes.…”

Section: Modeling and Analysismentioning

confidence: 99%

The Value of Storage in Electricity Generation: A Qualitative and Quantitative Review

Elshurafa¹

2020

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Battery energy storage system modeling: A combined comprehensive approach

Cited by 58 publications

References 84 publications

Topology and Efficiency Analysis of Utility-Scale Battery Energy Storage Systems

Topology and Efficiency Analysis of Utility-Scale Battery Energy Storage Systems

Perspective on Commercial Li-ion Battery Testing, Best Practices for Simple and Effective Protocols

The Value of Storage in Electricity Generation: A Qualitative and Quantitative Review

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