Results 211 to 220 of about 21,156 (298)
Debunking Common Myths & Misconceptions About NMC Positive Electrode Materials for Li‐ion Batteries
LiNixMnyCozO2 (NMC) and LiNixCoyAlzO2 (NCA) remain the choice for high‐energy‐density lithium‐ion battery positive electrode materials, yet many myths persist surrounding them. Herein, four common misconceptions are tackled to better inform the lithium‐ion battery field.
Matthew D. L. Garayt +10 more
wiley +1 more source
Optimizing charge discharge cycles using QPPONet-enabled hybrid learning framework for energy management and safety in electric vehicles. [PDF]
Sujan Kumar MV, Khekare G.
europepmc +1 more source
This study compares Sn particles of different sizes in NIBs using carbonate‐ and diglyme‐based electrolytes. Diglyme electrolytes enable stable cycling despite large volume changes, while carbonate electrolytes degrade rapidly, especially with nanoparticles.
Chinnasamy Murugesan +4 more
wiley +1 more source
Effect of water molecules on the diffusions of alkali metal ions in two-dimensional transition metal sulfides. [PDF]
Tian J, Gu X.
europepmc +1 more source
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu +3 more
wiley +1 more source
Recent Advances in Polymer-Based Thermal Barrier Materials for Mitigating Thermal Runaway Propagation in Lithium-Ion Batteries. [PDF]
Li Y +10 more
europepmc +1 more source
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
A thermochromic polyoxovanadate with a 200 000-fold conductivity gain for boosting zinc-ion battery performance. [PDF]
Zhang ZX +4 more
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source

