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Fundamental Research
News 27 February 2025

Using AI to predict battery aging

To meet the challenges of climate change, the transition to renewable energies and the decarbonization of transport are essential, with electric mobility and lithium-ion batteries playing a central role. Battery aging is a complex phenomenon, driven by numerous factors, and requires robust models to predict and optimize their use. Quentin Mayemba’s PhD research resulted in the development of an innovative general machine learning model capable of adapting to various datasets to predict battery aging. These contributions, which are invaluable to the scientific community, provide solid tools and open up new avenues for the development of methodologies tailored to the study of lithium-ion batteries.

Issue 56 of Science@ifpen
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Yves Chauvin Prize: Molecular modeling of the solid electrolyte interphase in lithium batteries

The gradual loss of autonomy of lithium-ion batteries, used in our cell phones and electric vehicles, is notably linked to the formation of a layer known as a Solid Electrolyte Interphase (SEI), which builds up between one of the electrodes and the battery electrolyte. The formation of this SEI layer (Figure 1) was studied theoretically in this thesis using molecular modeling to improve the understanding of its thermodynamic and kinetic aspects. The PhD research initially focused on compiling a database of the principal degradation reactions involved by calculating the reaction and activation energies using DFT. The results used in KMC simulations then revealed that salts such as Li2CO3 and Li2O, derived from electrolyte degradation, play a crucial role. Simulations are also used to predict the loss of battery capacity as a function of the initial composition of the SEI layer (Figure 2) and hint the importance of considering other salts such as LiF resulting from degradation...
Issue 54 of Science@ifpen
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SC2 - Biofuel production: understanding and controlling corrosion by renewable feedstocks

Biofuels are one of the components of the transition to renewable energies, and their use is an effective way of decarbonizing transport. However, they are produced from feedstocks whose composition can affect the steel equipment used for their conversion. For example, the hydrotreatment of vegetable oils and animal fats leads to the exposure to high concentrations of oxygenated compounds, naturally present in the initial feedstock or resulting from their conversion...
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Rémy MINGANT

Research Engineer, PhD in Electrochemistry
I am Rémy Mingant, an experienced research engineer at IFP Energies Nouvelles, specializing in corrosion, batteries, and materials. My journey is built upon a strong academic foundation, crowned by a
Issue 51 of Science@ifpen
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SC6 - How to better control loss of lithium battery capacity

Everybody knows that lithium-ion batteries, used in cell phones, computers, etc., gradually lose capacity and eventually fail. This loss of capacity is primarily due to a layer known as the SEI, which forms between one of the battery’s electrodes and the electrolyte (see Figure). This layer already appears after the first battery charge/discharge cycle, and grows over time, consuming lithium ions. The process is irreversible and therefore detrimental to battery capacitye...
Issue 50 of Science@ifpen
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Self-repair against localized corrosion

Due to their low cost and their good mechanical properties, carbon steels are a widely used material, including for equipments in contact with harsh environments, such as aqueous media containing CO2...
Science@ifpen - Issue 49
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Battery behavior: a complexity best taken into account by modeling

For around fifteen years now, IFPEN has been focusing on modeling conventional batteries to represent their nominal operation (electric and thermal behavior during normal operation), throughout their lifetime (...) and in the event of thermal runaway (failure, improper use)...
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Jean KITTEL

Materials & Corrosion Technical Advisor, Project manager
PhD in Electrochemistry
> 20 years experience in Materials and Corrosion. Materials Engineer from INSA de Lyon, 1997. PhD in Eectrochemistry (Paris 6), 2001. Habilitation from INSA de Lyon, 2011. Member of Cefracor / EFC /
Issue 39 of Science@ifpen
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An explosive cocktail for steel fracture?

THESIS OF MARTIEN DUVALL DEFFO AYAGOU
Issue 37 of Science@ifpen
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Carbon steel in self-defense mode against corrosion

Carbon or low-alloy steel corrosion, by aqueous media containing CO 2, hampers the development of numerous technologies a for the energy transition. Among the electrochemical processes involved, the