Journal of Electroanalytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118661 - 118661
Published: Sept. 1, 2024
Language: Английский
Journal of Electroanalytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118661 - 118661
Published: Sept. 1, 2024
Language: Английский
Sustainable Energy Technologies and Assessments, Journal Year: 2025, Volume and Issue: 75, P. 104245 - 104245
Published: Feb. 18, 2025
Language: Английский
Citations
0Electrochimica Acta, Journal Year: 2025, Volume and Issue: unknown, P. 145844 - 145844
Published: Feb. 1, 2025
Language: Английский
Citations
0Materials Science and Engineering R Reports, Journal Year: 2025, Volume and Issue: 164, P. 100952 - 100952
Published: Feb. 24, 2025
Language: Английский
Citations
0Rare Metals, Journal Year: 2025, Volume and Issue: unknown
Published: March 7, 2025
Language: Английский
Citations
0Materials, Journal Year: 2025, Volume and Issue: 18(6), P. 1329 - 1329
Published: March 17, 2025
The sodium super ionic conductor (NASICON) structured LiTi2(PO4)3 (LTP) has been developed as electrode material for Li-ion batteries (LIBs) with promising electrochemical performance, owing to its outstanding structural stability and rapid lithium-ion diffusion. Nevertheless, challenges still exist, especially the capacity fading caused by low electronic conductivity of LTP-NASICON material. Recently, hydrothermal method emerged an important technique production diverse nano-electrode materials due preparation temperature, high phase purity, well-controlled morphology crystallinity. Herein, we report, first time at low-moderate temperatures, advanced synthesis LTP-coated reduced graphene oxide (LTP@rGO) particles that includes growth LTP while simultaneously coating them rGO offers a discharge specific 84 mAh/g, LTP@rGO delivers 147 both coulombic efficiency 99.5% after 100 cycles 1C rate.
Language: Английский
Citations
0Batteries, Journal Year: 2025, Volume and Issue: 11(4), P. 127 - 127
Published: March 26, 2025
Lithium-ion batteries experience degradation with each cycle, and while aging-related deterioration cannot be entirely prevented, understanding its underlying mechanisms is crucial to slowing it down. The aging processes in these are complex influenced by factors such as battery chemistry, electrochemical reactions, operational conditions. Key stressors including depth of discharge, charge/discharge rates, cycle count, temperature fluctuations or extreme conditions play a significant role accelerating degradation, making them central analysis. Battery directly impacts power, energy density, reliability, presenting substantial challenge extending lifespan across diverse applications. This paper provides comprehensive review methods for modeling analyzing aging, focusing on essential indicators assessing the health status lithium-ion batteries. It examines principles modeling, which vital applications portable electronics, electric vehicles, grid storage systems. work aims advance technology promote sustainable resource use variables influencing durability. Synthesizing wide array studies identifies gaps current methodologies highlights innovative approaches accurate remaining useful life (RUL) estimation. introduces emerging strategies that leverage advanced algorithms improve predictive model precision, ultimately driving enhancements performance supporting their integration into various systems, from vehicles renewable infrastructures.
Language: Английский
Citations
0Energy storage materials, Journal Year: 2025, Volume and Issue: unknown, P. 104211 - 104211
Published: March 1, 2025
Language: Английский
Citations
0Journal of Materials Science, Journal Year: 2025, Volume and Issue: unknown
Published: April 20, 2025
Language: Английский
Citations
0Journal of Power Sources, Journal Year: 2025, Volume and Issue: 644, P. 237131 - 237131
Published: April 22, 2025
Language: Английский
Citations
0Chemical Reviews, Journal Year: 2025, Volume and Issue: unknown
Published: April 22, 2025
This Review explores the status and progress made over past decade in areas of raw material mining, battery materials components scale-up, processing, manufacturing. While substantial advancements have been achieved understanding materials, transition to large-scale manufacturing introduces scientific challenges that must be addressed from multiple perspectives. Rather than focusing on new discoveries or incremental performance improvements, this focuses critical issues arise highlights importance cost-oriented fundamental research bridge knowledge gap between industrial production. Challenges opportunities integrating machine learning (ML) artificial intelligence (AI) digitalize process eventually realize fully autonomous production are discussed. The review also emphasizes pressing need for workforce development meet growing demands industry. Potential strategies suggested accelerating current future technologies, ensuring is equipped with necessary skills support research, development,
Language: Английский
Citations
0