Artificial Intelligence Opportunities to Diagnose Degradation Modes for Safety Operation in Lithium Batteries

The degradation and safety study of lithium-ion batteries is becoming increasingly important given that these batteries are widely used not only in electronic devices but also in automotive vehicles. Consequently, the detection of degradation modes that could lead to safety alerts is essential. Existing methodologies are diverse, experimental based, model based, and the new trends of artificial intelligence. This review aims to analyze the existing methodologies and compare them, opening the spectrum to those based on artificial intelligence (AI). AI-based studies are increasing in number and have a wide variety of applications, but no classification, in-depth analysis, or comparison with existing methodologies is yet available

Irudi Digitalen Analisia: espektrofotometroa ordezkatzen

Irudi digitalen analisia (DIA) teknika multzo batek osatzen du eta helburu nagusia da aztergai den sistema bati buruzko informazio adierazgarria determinatzea sistema horren irudiak erabiliz. Metodoaren abantaila nagusiak bere abiadura, sinpletasuna eta beharrezko lagin kopuru txikia dira (400 μL-tik behera mikroplakak erabiltzen badira), baita sortutako hondakin kopuru txikia ere. Lan honetan DIAren hiru aplikazio desberdin deskribatzen dira: nikel bainuetan aurki daitezkeen konposatu nagusien analisia eta kontrola, hala nola, nikela, amonioa eta sulfatoak; fosfatoen eta pH-aren aldibereko determinazioa malko artifizialetan eta tartrazina eta allura gorria koloratzaileen determinazioa jangaietan. Aplikazio hauetan, mahaigaineko eskanerra eta telefono mugikorra erabili dira irudiak eskuratzeko.; Digital Image Analysis (DIA) consists of a set of techniques that aim to obtain representative information about a system using images of that system. The main advantages of this method are its speed, simplicity and small amount of sample needed (below 400 μL if microplates are used), as well as the small amount of waste created. Three different applications are described for DIA in this work: the determination of some of the major compounds in a nickel electroplating baths, such as nickel, ammonium and sulfate ions; the simultaneous determination of phosphates and pH in different eye drops and the simultaneous determination of the color additives tartrazine and allura red in food products. In these applications, a flatbed scanner and a smartphone were used for image acquisition

Spatially Offset Raman Spectroscopy for Characterization of a Solid-State System

Solid-state batteries represent a promising technology in the field of high-energy-density and safe storage systems. Improving the understanding of how defects form within these cells would greatly facilitate future development, which would be best served by applying nondestructive analytical tools capable of characterization of the key components and their changes during cycling and/or aging. Spatially offset Raman spectroscopy (SORS) represents a potentially useful technique, but currently there is a lack of knowledge regarding its use in this field. To fill this gap, we present an investigation into the use of simple defocused micro-SORS on systems constructed using typical components found within solid-state cells. By analyzing the constituents and the assembled system, it was possible to obtain depth profiling spectra and show that spectra may be obtained from layers which are normally obscured, demonstrating the technique’s potential for nondestructive chemical analysis of the subsurface. In this way, the results presented validate the potential of micro-SORS as a technique to develop to support future solid-state battery development, as well as the nondestructive battery analytical field