A5024933631- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Machine Learning in Materials Science
- Extraction and Separation Processes
- Recycling and Waste Management Techniques
- Electron and X-Ray Spectroscopy Techniques
- Supercapacitor Materials and Fabrication
- Reliability and Maintenance Optimization
- Green IT and Sustainability
- Hybrid Renewable Energy Systems
- Electric Vehicles and Infrastructure
- Structural Analysis and Optimization
- Chemical Synthesis and Characterization
- Energy and Environment Impacts
- Low-power high-performance VLSI design
- Parallel Computing and Optimization Techniques
- Advanced ceramic materials synthesis
- Induction Heating and Inverter Technology
- Fault Detection and Control Systems
- Silicon and Solar Cell Technologies
- Control Systems and Identification
- Electromagnetic Compatibility and Noise Suppression
- Advanced Data Storage Technologies
- Smart Grid Energy Management
Centre for Electrochemical Technologies
2018-2024
Cidete (Spain)
2024
Digital Research Alliance of Canada
2023
Energy Storage Systems (United States)
2023
Centre National de la Recherche Scientifique
2021-2022
Universidad Politécnica de Madrid
2020-2022
National Renewable Energy Centre
2009
Abstract The development of new batteries has historically been achieved through discovery and cycles based on the intuition researcher, followed by experimental trial error—often helped along serendipitous breakthroughs. Meanwhile, it is evident that strategies are needed to master ever‐growing complexity in battery systems, fast‐track transfer findings from laboratory into commercially viable products. This review gives an overview over future needs current state‐of‐the art five research...
Abstract This roadmap presents the transformational research ideas proposed by “BATTERY 2030+,” European large‐scale initiative for future battery chemistries. A “chemistry‐neutral” to advance research, particularly at low technology readiness levels, is outlined, with a time horizon of more than ten years. The centered around six themes: 1) accelerated materials discovery platform, 2) interface genome, integration smart functionalities such as 3) sensing and 4) self‐healing processes....
Abstract High‐voltage lithium polymer cells are considered an attractive technology that could out‐perform commercial lithium‐ion batteries in terms of safety, processability, and energy density. Although significant progress has been achieved the development electrolytes for high‐voltage applications (> 4 V), cell performance containing these materials still encounters certain challenges. One major limitations is posed by poor cyclability, which affected low oxidative stability standard...
Abstract As the world races to respond diverse and expanding demands for electrochemical energy storage solutions, lithium‐ion batteries (LIBs) remain most advanced technology in battery ecosystem. Even as unprecedented demand state‐of‐the‐art drives gigascale production around world, there are increasing calls next‐generation that safer, more affordable, energy‐dense. These trends motivate intense pursuit of manufacturing processes cost effective, scalable, sustainable. The digital...
Lithium-ion battery packs inside electric vehicles represents a high share of the final price. Nevertheless, with technology advances and growth market, price is getting more competitive. The greenhouse gas emissions cost have been studied previously, but coherent boundaries between environmental economic assessments are needed to assess eco-efficiency batteries. In this research, detailed study presented, providing an assessment manufacturing one specific lithium-ion chemistry. relevance...
Abstract Driven by the continuous search for improving performances, understanding phenomena at electrode/electrolyte interfaces has become an overriding factor success of sustainable and efficient battery technologies mobile stationary applications. Toward this goal, rapid advances have been made regarding simulations/modeling techniques characterization approaches, including high‐throughput electrochemical measurements coupled with spectroscopies. Focusing on Li‐ion batteries, current...
The optimization of the electrodes manufacturing process is critical to ensure high-quality Lithium-Ion Battery (LIB) cells, in particular for automotive applications. LIB electrode a complex involving multiple steps and parameters. We have shown our previous works that 3D-resolved physics-based models constitute very useful tools provide insights into impact parameters on textural performance properties electrodes. However, their high-throughput application inverse design limited due high...
Abstract Lithium‐ion battery (LIB) manufacturing requires a pilot stage that optimizes its characteristics. However, this process is costly and time‐consuming. One way to overcome use set of computational models act as digital twin the line, exchanging information in real‐time can be compared with measurements correct parameters. Here we discuss parameters involved each step LIB manufacturing, show available modeling approaches, details about practical implementation terms software. Then,...
Electrode manufacturing process strongly impacts lithium-ion battery characteristics. The electrode slurry properties and the coating parameters are among main factors influencing heterogeneity which cell performance lifetime. However, analysis of impact on is difficult to be quantified automatized due large number that can adjusted in process. In this work, a data-driven methodology was developed for automatic assessment such as formulation liquid-to-solid ratio slurry, gap used its current...
In this work, a computationally efficient multi-scale and multi-dimensional model is set up to describe the electrochemical, electrical thermal behavior for generic pouch cell format. As solving in multiple spatial dimensions would require an extensive amount of computational resources, we apply effective discretization techniques, namely orthogonal collocation Lobatto IIIA method. order reduce number electrochemical submodels, coupling method based on node point interpolation introduced....
We present an interpretable uncertainty-aware machine learning model to predict battery degradation trajectories. Using LSTM Recurrent Neural Networks, we reach RMSE of 106 and MAPE 10.6%.
Silicon–Graphite blended electrodes in Li-ion batteries have been proposed as a way to harness the high capacity of Si an anode material, while minimising negative effects their large volume expansion. NMC 811 is current state-of-the-art layered oxide cathode where cobalt content has minimised. These are two most promising materials for achieving electric vehicle targets terms performance, cyclability and price, however degradation mechanism not fully understood. Here these used manufacture...
The optimization of the electrode manufacturing process is important for upscaling application Lithium-Ion Batteries (LIBs) to cater growing energy demand. LIB be optimized because it determines practical performance cells when latter are being used in applications such as electric vehicles. In this study, we tackled issue high-performance electrodes desired battery by proposing a data-driven approach supported deterministic machine learning-assisted pipeline bi-objective electrochemical...
Abstract Sodium‐ion batteries are an emerging technology that is still at early stage of development. The electrode processing for anode and cathode expected to be similar lithium‐ion (drop‐in technology), yet a detailed comparison not published. There ongoing questions about the influence active materials on parameters such as slurry viscosity, coating thicknesses, drying times, behavior during fast drying. Herein, time same areal capacity anodes (graphite vs. hard carbon) cathodes (lithium...
Abstract Li‐ion batteries are attracting an increasing attention due to the process of electrification involving different industrial sectors. Many efforts dedicated improving battery performance in terms cyclability, capacity, fast charging and safety name a few. Therefore, it is primal importance identify understand degradation modes that stay behind cell failure. In this sense, Loss Lithium Inventory (LLI) Active Material (LAM) considered fundamental indicators for estimating state health...
The degradation mechanisms of commercial graphite–SiO x /NCA battery related to the aging process in full cell under cycling conditions at three different temperatures, namely, 10 °C, 25 and 45 have been studied via post-mortem analysis, emphasizing high energy density anode behaviour. has by non-destructive electrochemical methods. Then, gain more understanding on that govern degradation, cells are disassembled, anodes physicochemical analysis techniques, electron microscopy...
Battery Cell design and control have been widely explored through modeling simulation. On the one hand, Doyle’s pseudo-two-dimensional (P2D) model Single Particle Models are among most popular electrochemical models capable of predicting battery performance therefore guiding cell characterization. other empirical obtained, for example, by Machine Learning (ML) methods represent a simpler computationally more efficient complement to used Management System (BMS) purposes. This article proposes...
The demand for batteries is accelerating way beyond what was foreseen only a few years ago. This rapid transition towards more electrified society crucial dimension of reaching carbon-neutral economy as established in the strategies European Commission's (EC) green deal, Fit 55 package,[1] and recovery plans.[2] Batteries are core technology to transform energy sector, mainly large-scale storage transportation primarily passenger commercial EVs. Furthermore, play vital role innovation...
With the increasing demand of energy storage systems driven by transition toward electrification, particularly transportation sector, where broader transformation to Electric Vehicles (EVs) is owing environmental concerns, high-performance and cost-effective batteries, are imperative. To accelerate design development new batteries improve already existing ones, modelling tools important in understanding performance cell; thus, reducing time effort on experimental load. In this study, we...