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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."

Field of science

  • /engineering and technology/environmental engineering/energy and fuels/fuel cell

Call for proposal

ERC-2013-CoG
See other projects for this call

Funding Scheme

ERC-CG - ERC Consolidator Grants

Host institution

BAUHAUS-UNIVERSITAET WEIMAR
Address
Geschwister Scholl Strasse 8
99423 Weimar
Germany
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 975 071
Principal investigator
Timon Rabczuk (Prof.)
Administrative Contact
Andrea Adelmeier (Ms.)

Beneficiaries (1)

BAUHAUS-UNIVERSITAET WEIMAR
Germany
EU contribution
€ 1 975 071
Address
Geschwister Scholl Strasse 8
99423 Weimar
Activity type
Higher or Secondary Education Establishments
Principal investigator
Timon Rabczuk (Prof.)
Administrative Contact
Andrea Adelmeier (Ms.)