Educational Learning Modules on Li-ion batteries (Project work)
Enrollment in this course is by invitation only
About This Course
Lithium-ion (Li-ion) batteries have radically transformed portable electronics from mobile phones to laptops. These batteries are now omnipresent in our modern world. Moreover, we are now witnessing a global shift within the automotive industry towards the adoption of electric vehicles, predicted to be a trillion-euro market by 2050. ELMO-LION requires no prior knowledge of battery technology and will cover all major aspects, from fundamental operation to commercial application.
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
LO1.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.
LO2.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.
LO3.Students will learn degradation mechanisms of Li-ion batteries and how to extract the effects of the various degradation phenomena from XAS data.
LO4.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.
LO5.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.
LO6.Students will know main methods for battery recycling.
LO7.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 instructors
Learning modules are tought by partners from Aalto University, Finland; EMPA, Switzerland; Politechnico di Milano, Italy: University of Padova, Italy; Delft University of Technology, Netherlands; University of Eastern Finland; University of Helsinki, Finland; University of Oulu, Finland; Centro Ricerche Fiat, Italy; Metso Outotec Oy, Finland; LUT University, Finland