Results 61 to 70 of about 5,328,331 (303)
A Co-Axial Microtubular Flow Battery Cell with Ultra-high Volumetric Power Density [PDF]
Volumetric power density is a key factor determining flow batteries\u27 footprint, capital cost and ability to handle uneven energy resource distributions. While significant progress has been made on flow battery materials and electrochemistry to improve
Huitian, Liu +11 more
core +1 more source
A passive battery management system for lead-acid battery
One of the dangerous issues that can appear when working with batteries is the imbalance of the cell. To overcome this problem, the battery management systems (BMSs) can provide balancing by extracting or adding charge according to the needs. The goal is
Pop Adrian Augustin +3 more
doaj +1 more source
Improved Digital Twin of Li-Ion Battery Based on Generic MATLAB Model
The paper describes the digital twin of a Li-ion battery cell based on the MATLAB/Simulink generic model. The digital twin is based on measured data for constant current/constant voltage charging and discharging cycles with State of Health (SoH) up to 79%
Juraj Bilansky +4 more
doaj +1 more source
Effects of Mg on Microstructure and Solidification of a Hypereutectic Zn–8 wt.%Al Alloy
An appreciable set of results involving thermal data, microstructure, chemical composition, and microstructural growth laws is reported for ZnAlMg alloys. Such results demonstrate that ZnAlMg alloys have high potential for applications in automotive self‐lubricating components, batteries, and electrical systems.
Raí B. de Sousa +6 more
wiley +1 more source
Disassembly - A Requirement for Efficient Circularity of Battery Systems
355369Due to the enormous consumption of resources during the production of electric vehicles, establishing a circular economy is crucial for the sustainability of future e-mobility solutions.
Baazouzi, Sabri +2 more
core +1 more source
SolidPAC is an interactive battery-on-demand energy density estimator for solid-state batteries
Summary: Solid-state batteries hold the promise to be highly impactful next-generation technologies for high-energy and -power-density rechargeable battery applications.
Marm Dixit +6 more
doaj +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
253273Continuous improvement in terms of efficiency and quality is necessary for competitive battery cell production. An essential prerequisite for improvement is the knowledge of cause-effect relationships in production processes.
Lorenzoni, Anselm +2 more
core +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng +7 more
wiley +1 more source

