Online lectures
March – June 2025
2 ECTS
50€
About Elmo-Lion online lectures
The lectures further explore topics that would facilitate circular economy measures — remanufacturing, reuse, repurposing, and recycling — to be properly applied on diagnostic competences and technologies that evaluate the battery state of health. By fusing the traditional battery diagnosis and characterization to quantum theory simulations and advanced spectroscopy, ELMO-LION brings reliability and accuracy in solving battery problems relevant for the industry and raw materials communities.
The ELMO-LION learning objectives are oriented towards understanding how to improve the charging of batteries and extending battery lifespan by optimizing the lithiation and de-lithiation processes to ensure ions being homogeneously distributed across the cells.
The lectures further explore topics that would facilitate circular economy measures — remanufacturing, reuse, repurposing, and recycling — to be properly applied on diagnostic competences and technologies that evaluate the battery state of health. By fusing the traditional battery diagnosis and characterization to quantum theory simulations and advanced spectroscopy, ELMO-LION brings reliability and accuracy in solving battery problems relevant for the industry and raw materials communities.
Learning outcomes
Students will learn the theory behind the electric response of an ion conducting material and the tools capable to unveil the long-range charge migration processes.
Students will know different types of materials for Li-ion batteries positive electrode materials, its synthesis approaches, difficulties, and effect on Li-ion battery operation and lifetime.
Students will learn to compare advanced (operando) characterization methods of Li-ion batteries based on neutrons, x-rays and positrons, complemented by muons, solid state NMR and Mössbauer spectroscopy.
Students will learn degradation mechanisms of Li-ion batteries and how to extract the effects of the various degradation phenomena from XAS data.
Students will learn about the concept of redox orbital, how to extract information from electron momentum density spectroscopy and how to use it to predict Li-ion battery behavior.
Students will learn and understand how to use various battery simulators can provide information about the State Of Charge (SOC) and the State Of Health (SOH) of Li-ion battery.
Course structure
1. Synthesis of battery electrode materials
2. Conductivity and relaxation phenomena in ion conducting materials by broad electric spectroscopy
3. Operando studies of Li-ion battery materials with x-ray spectroscopies
4. Neutrons, X-rays, positions, muons in (operando) battery studies
5. Identifying redox orbital and defects in lithium-ion cathodes with compton scattering and position annihilation
6. Multiscale modelling of Li-ion batteries
7. Reuse and recycling of Li batteries
8. The circular li-ion market
The lectures are given by famous experts from the following institutions:
- LUT University
- Aalto University
- University of Oulu (UOULU)
- University of Eastern Finland (UEF)
- University of Helsinki
- Technische Universiteit Delft (Delft University of Technology)
- Politecnico di Milano
- University of Padova
- EMPA – Swiss Federal Laboratories for Materials Science and Technology
- Metso Outotec Finland Oy
- Centro Ricerche Fiat (CRF)
