Batteries
Graphite, a crucial mineral for electric vehicle batteries and energy storage, is predominantly sourced from China, raising supply chain security concerns. A new study from the University of Michigan and Ford Motor Co. reveals that the United States has sufficient natural graphite deposits to meet its anticipated demand for battery-grade
Batteries
A new report presents an innovative method for estimating the state of safety (SoS) of lithium-ion batteries (LIBs), which is crucial for ensuring the reliable and safe operation of electric vehicles. Researchers from Civil Aviation Flight University of China developed a data-driven framework that integrates health degradation and key thermal
Batteries
New research published in the journal Communications Materials by the Electric Power Research Institute of Guangdong Power Grid Co. Ltd. has shed light on the potential of solid-state lithium-sulfur batteries (SSLSBs) to revolutionize the energy storage industry. These batteries promise enhanced energy density and improved safety, making them suitable for
Batteries
Researchers from Nanchang University have made a groundbreaking discovery in the field of electronics, proposing an innovative strategy to engineer lithiophilic bimetallic films on metallic Cu substrates for anode-free metallic lithium cell architectures. Despite facing critical barriers to industrial adoption, lithium metal batteries have the potential to achieve ultrahigh energy
Batteries
A team of researchers at the Chinese Academy of Sciences has made a significant breakthrough in the development of sodium-ion batteries, a crucial step towards creating more efficient and sustainable energy storage systems. According to a newly published study, the team has successfully designed a high-performance cathode material, P2-NaNiLiMgOF, that
Batteries
Researchers from the Chinese Academy of Sciences have made a significant breakthrough in the development of ultra-fine nanocrystals for aqueous magnesium-ion batteries. The team, led by Bo Zhang, successfully fabricated nano-Mg/Ca-S-MnO2 crystals with ultra-fine sizes (D50 of 61.66 nm) using a novel method involving repeated battery over-discharge pretreatment.
Batteries
Research conducted by the Anhui University of Technology has made significant advancements in developing lithium-sulfur batteries that can operate effectively across a wide temperature range. The study focused on electrolyte formulations suitable for extreme temperatures, aiming to create batteries with low self-discharge, high sulfur loading, and robust performance. The research
Batteries
Researchers from Wuhan University in China have made significant advancements in lithium-sulfur battery technology by designing a novel ferromagnetic heterostructure nanowire strategy to suppress the shuttle effect and improve the overall performance of these batteries. According to the study, the shuttle effect is a major issue in lithium-sulfur batteries, leading
Batteries
Research and development in electrochemical cells have long been hindered by the issue of dendrite formation, which can lead to short-circuiting and heat generation. A recent patent by 24M Technologies Inc. has shed light on a novel approach to minimizing this problem, revealing a promising solution for the future of
Batteries
This year's flagship smartphone market is heating up with the launch of OnePlus 15 5G and iQOO 15 5G in China, with the latter making its India debut in November. Both smartphones are powered by the Snapdragon 8 Elite Gen 5 processor, but they differ in their design,
Batteries
Research conducted by the Indian Institute for Technology has made a significant breakthrough in predicting the heat generation rate (HGR) in lithium-ion batteries, a critical factor in ensuring thermal safety and performance in electric vehicles (EVs). A team of researchers developed a machine learning (ML)-based approach to estimate HGR
Batteries
Research conducted at the Massachusetts Institute of Technology (MIT) has made a significant breakthrough in the development of next-generation batteries by utilizing machine learning algorithms to optimize polymer electrolyte formulations. The study utilized a closed-loop, machine-learning driven Bayesian optimization pipeline to identify the most promising formulations for solid polymer electrolytes,
