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Stabilizing renewable energy based microgrid: AI-optimized control tackles EV integration challenges

Researchers present an intelligent solution to manage complex energy systems, improving frequency stability and reducing settling time by up to 283% compared to traditional controllers. The innovative FO-Fuzzy PSS controller incorporates a specialized washout filter, ensuring smooth operation even during turbulent conditions.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateMay 8, 2025

Safeguarding the future of electric vehicles: New AI-powered method detects lithium plating in electric vehicle batteries

Researchers developed an intelligent lithium plating detection system using a Random Forest machine learning algorithm, analyzing pulse charging data to identify subtle electrical signatures. The system achieves high accuracy and can be implemented without modifying existing battery systems.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 17, 2025

Dongguk University researchers advance lithium-ion battery technology with hybrid anode material

Dongguk University researchers have developed a hybrid anode material for lithium-ion batteries, demonstrating exceptional performance and cycling stability. The innovative composite combines reduced graphene oxide with nickel-iron layered double hydroxides, resulting in a high specific capacity of 1687.6 mA h g−1.

SourceDongguk University Evaluation and Audit Team·JournalChemical Engineering Journal·TypeExperimental study·DateApr 11, 2025

Breakthrough in battery technology: unraveling the mystery of electrolyte wetting in advanced lithium-ion batteries

Researchers have developed a new understanding of electrolyte wetting in advanced lithium-ion batteries, revealing the impact of manufacturing processes on wetting behavior. The study provides insights into permeability and capillary forces, offering concrete guidance for optimizing production processes.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 10, 2025

Breakthrough in battery technology: unraveling the mystery of electrolyte wetting in advanced lithium-ion batteries

Researchers have developed a new understanding of electrolyte wetting in advanced lithium-ion batteries, addressing a critical bottleneck in manufacturing. The study's findings reveal that manufacturing processes impact wetting behavior through key parameters like permeability and capillary forces.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 9, 2025

Runaway battery improves safety

Researchers at the University of Tokyo have developed a simple and cost-effective method to test lithium-ion battery safety, enabling researchers to quickly screen battery effects on safety factors such as materials, design, storage conditions, and degradation. The innovative method uses miniaturized batteries that are intentionally un...

SourceUniversity of Tokyo·JournalNature Energy·TypeExperimental study·DateApr 2, 2025

Early detection of lithium battery leakage using a highly sensitive in situ ZIF-8 membrane-coated micro-nano optical fiber

Researchers propose a new sensor that can detect lithium battery leakage with high sensitivity, enabling early warning and protection for safety. The sensor uses a ZIF-8 membrane-coated micro-nano optical fiber to detect trace amounts of electrolyte vapor leakage.

New sensor could help prevent lithium-ion battery fires and explosions

Researchers have developed a new sensor to detect hazardous gas leaks in lithium-ion batteries, which could prevent catastrophic failures and enhance the reliability of battery-powered technologies. The sensor detects trace amounts of ethylene carbonate vapour, targeting potential battery failures before they escalate into disasters.

SourceXi'an Jiaotong-Liverpool University·JournalACS Applied Materials & Interfaces·TypeExperimental study·DateMar 20, 2025

Novel solid-state electrolyte developed to enhance performance of all-solid-state lithium-ion batteries

Researchers developed a novel sulfide-based solid electrolyte with exceptional ionic conductivity, achieving high cycling stability and compatibility with various cathode and anode materials. The study enhances the performance of all-solid-state lithium-ion batteries with wide temperature adaptability and long cycle life.

SourceDalian Institute of Chemical Physics, Chinese Academy Sciences·JournalACS Energy Letters·TypeCommentary/editorial·DateMar 20, 2025

Amino acid assists in recycling rechargeable batteries

A Chinese research team has developed a new strategy for recycling spent lithium-ion batteries using a hydrometallurgical process in neutral solution. The addition of glycine improves the leaching efficiency, allowing for the extraction of valuable metals such as lithium, nickel, cobalt, and manganese with high accuracy.

SourceWiley·JournalAngewandte Chemie International Edition·TypeExperimental study·DateMar 11, 2025

Engineers discover key barrier to longer-lasting batteries

University of Texas at Dallas researchers have discovered why LiNiO2 batteries break down during charging and are testing a solution to remove the key barrier to widespread use. They developed a theoretical solution that reinforces the material by adding a positively charged ion, creating pillars to strengthen the cathode.

SourceUniversity of Texas at Dallas·JournalAdvanced Energy Materials·TypeComputational simulation/modeling·DateFeb 13, 2025

Progress toward a new generation of rechargeable batteries

A Chinese team proposes adding a soluble catalyst to electrolytes in lithium-air batteries, enhancing charge transport and counteracting electrode passivation. The addition improves the batteries' performance and lifespan by reducing overpotential and increasing discharge capacity.

SourceWiley·JournalAngewandte Chemie International Edition·TypeExperimental study·DateJan 27, 2025

High performance in frosty conditions

Researchers have demonstrated the suitability of a new electrode material, lithium titanium phosphate, for use in lithium-ion batteries in cold environments. The material's negative thermal expansion properties facilitate storage and transport of lithium ions, maintaining high performance at low temperatures.

SourceWiley·JournalAngewandte Chemie International Edition·TypeExperimental study·DateJan 8, 2025

Porous silicon oxide electrodes: A breakthrough towards sustainable energy storage

Researchers at Doshisha University developed porous silicon oxide electrodes that improve the durability and energy density of all-solid-state batteries. The electrodes can withstand repeated charge/discharge cycles without cracking or peeling, making them a promising solution for sustainable energy storage.

SourceDoshisha University·JournalACS Applied Materials & Interfaces·TypeExperimental study·DateDec 14, 2024

Groundbreaking study reveals impact of calendering on electrochemical-mechanical performance of silicon-based composite electrodes

Researchers uncover the effects of calendering on silicon-based composite electrodes, revealing increased deformation and cracking with higher calendering levels. This study offers valuable insights for optimizing electrode design and improving battery safety.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateDec 5, 2024

Pioneering digital twin model elevates lithium-ion battery performance and safety

A new digital twin model for lithium-ion batteries has been developed, offering enhanced simulation accuracy and real-time monitoring capabilities. The model demonstrates exceptional performance in simulating terminal voltage and shell temperature, with minimal mean absolute errors.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateDec 2, 2024

A breakthrough in battery capacity degradation analysis and knee point prediction

Researchers developed a novel method to analyze capacity degradation characteristics and predict the knee point of lithium-ion batteries, enabling effective predictive maintenance and enhancing safety. The study uses neural networks to analyze battery life, which is affected by multiple coupling aging mechanisms.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateDec 2, 2024

Recycling batteries with citric acid

A novel citric-acid-based method has been developed to recycle metals from NCM cathodes with minimal energy usage and lower emissions. The process involves a relatively small amount of citric acid, allowing for efficient separation and reclamation of lithium, nickel, cobalt, and manganese metals.

SourceWiley·JournalAngewandte Chemie International Edition·TypeExperimental study·DateNov 15, 2024

‘Game changer’ in lithium extraction: Rice researchers develop novel electrochemical reactor

Researchers at Rice University have developed a novel three-chamber electrochemical reactor that improves the selectivity and efficiency of lithium extraction from geothermal brines. The reactor achieves high lithium purity rates and minimizes by-product formation, offering a promising approach to address growing demand for lithium in ...

SourceRice University·JournalProceedings of the National Academy of Sciences·DateNov 13, 2024

Leveraging machine learning to find promising compositions for sodium-ion batteries

A team of scientists leveraged machine learning to find promising compositions for sodium-ion batteries, achieving exceptional energy density. The study trained a model on a database of 100 samples to predict the optimal ratio of elements needed to balance properties like operating voltage and capacity retention.

SourceTokyo University of Science·JournalJournal of Materials Chemistry A·TypeExperimental study·DateNov 5, 2024

Novel electrothermal model enables co-estimation of SOC and SOT

Researchers developed an innovative electrothermal model to accurately estimate state-of-charge (SOC) and state-of-temperature (SOT) of large-format lithium-ion batteries. The method improves prediction performance in a wide temperature range, reducing the risk of thermal hazards and enhancing vehicle safety.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateOct 21, 2024

A novel SOC estimation model: combining machine learning and Kalman filtering

The improved method achieves high accuracy in lithium-ion battery state of charge estimation, outperforming traditional methods such as Back propagation Neural Network and Long Short-Term Memory. The model's robustness is enhanced through periodic parameter updates based on battery operating conditions.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateOct 21, 2024