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Content archived on 2024-06-18

Computational Modeling and Design of Lithium-Ion Batteries

Objective

"Lithium-ion batteries (LIBs) are among the most promising solutions for energy storage. Compared with other resources such as bio-fuel, solar cells, fuel cells or lead acid batteries, rechargeable batteries are more portable and allow for quick energy storage and release. The higher power and energy density make batteries suitable as the energy resource for most portable elect. devices including future vehicles. Among the rechargeable batteries, LIBs have the most potential because of their quick charging rate and high power and energy density. However, ageing of LIBs and the related capacity and power fade is a major concern. For the improvement and future development of batteries, computational modeling and design is an important complementary part to experimental testing which is expensive, time-consuming and sometimes unfeasible.

In this project, the PI proposes to develop, implement, verify and validate a computational multifield and multiscale framework to support the design and optimization of new batteries. The computational framework will support the design and optimization of new anode, separator and cathode materials as well as their structure inside the battery. The measurable outcome of this research will be an open-source software package that can be used to support the design and optimization of LIBs.

Within the computational framework, different (mechanical-thermal-electro-chemical) fields will be linked over multiple scales: from fundamental physics to the design of new battery materials. We will quantify uncertainties in order to provide upper and lower bounds of our predictions and use graph-theory, error-estimation and adaptivity to choose the appropriate model and discretization. The computational framework will be verified and validated by comparison to experiments. Finally, multi-objective optimization over multiple scales will provide a new battery prototype that will be manufactured, tested and compared to the computational predictions."

Fields of science (EuroSciVoc)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

ERC-2013-CoG
See other projects for this call

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-CG - ERC Consolidator Grants

Host institution

BAUHAUS-UNIVERSITAET WEIMAR
EU contribution
€ 1 975 071,00
Address
GESCHWISTER SCHOLL STRASSE 8
99423 Weimar
Germany

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Region
Thüringen Thüringen Weimar, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Beneficiaries (1)

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