Genetic Approach to Sodium-Ion batteries - GENSIB

Project summary

A sustainable energy future requires efficient generation, storage, and delivery systems. While lithium-ion batteries dominate, they rely on scarce, costly materials like lithium and cobalt, raising environmental and ethical concerns. Sodium-ion batteries (SIBs) offer a sustainable alternative using abundant materials like sodium, iron, and manganese. The GENSIB project advances SIB technology by addressing cathode stability, introducing transition metal vacancies to enhance energy density and cycle life. GENSIB applies a "genetic" approach to optimize redox orbitals using techniques like impedance spectroscopy, X-ray methods, and density functional theory (DFT) simulations. Data from experiments and DFT/Graph Neural Networks predict aging and second-life applications. GENSIB also uses MATLAB Simscape to simulate SIB performance, refining designs and bridging research with real-world needs, positioning SIBs as a sustainable, cost-effective alternative to lithium-ion batteries.

Project Details

Call

Call 2024


Call Topic

Sustainable advanced materials for energy


Project start

01.04.2025


Project end

01.04.2028


Total project costs

1.430.325 €


Total project funding

1.069.203 €


TRL

1 - 4


Coordinator

Dr Assa Aravindh Sasikala Devi

University of Oulu, PENTTI KAITERAN KATU 1, 90014 OULU, Finland


Partners and Funders Details

Consortium Partner   Country Funder
University of Oulu
https://www.oulu.fi/en/university/faculties-and-units/faculty-technology/sustainable-chemistry
University Finland FI-AKA
Lappeenranta-Lahti University of Technology
https://research.lut.fi/converis/portal/detail/Person/9734842?auxfun=&lang=en_GB
University Finland FI-AKA
CHARLES UNIVERSITY
https://www.mff.cuni.cz/en/faculty/organizational-structure/people?hdl=367
University Czech Republic CZ-TACR
Univeristy of Fribourg
https://sites.google.com/view/group-monney
University Switzerland CH-SFOE
MATHWORKS
https://www.mathworks.com/
Large industry Germany No Funding
ABB
https://abb.com/
Large industry Switzerland No Funding

Keywords

Battery materials, Energy storage, Solid state batteries, Modelling, Artificial intelligence, Batteries, Battery materials, Cathode materials, Computational approaches, Computational physics, Deep learning, Data-driven machine learning, Electrochemical en