Capacity Degradation Research Articles

Remaining useful life prediction of lithium-ion battery based on AConvST-LSTM-Net-TL

Abstract The accurate prediction of the Remaining Useful Life (RUL) of lithium-ion batteries can significantly enhance the safety and reliability of these batteries, thereby reducing operational risks. However, numerous existing methodologies operate under the assumption that both training and testing data adhere to the same distribution pattern, hindering the application of successful laboratory-based models to different target batteries. Hence, this study introduces a transfer learning model for predicting lithium-ion battery life, utilizing an attention mechanism-driven convolutional neural network (ACNN) in conjunction with a spatiotemporal Long Short-Term Memory network (ST-LSTM). Initially, the deep charging process data is leveraged for battery capacity estimation, where a Generalized Additive Model (GAM) is employed to delineate the nonlinear trend of battery capacity decay and characterize the capacity degradation. Following feature extraction, the Maximum Mean Discrepancy (MMD) value is computed to assess the distribution disparity between the two domains. Subsequently, the AConvST-LSTM-Net computes capacity estimations, loss functions for both source and target domains, merging these with the MMD value to formulate a comprehensive loss function. In conclusion, by employing transfer learning, the refined model is adapted to the target domain dataset, enabling the accurate prediction of the RUL of lithium-ion batteries. This approach is validated using the NASA lithium-ion battery dataset and the National Big Data Alliance for New Energy Vehicles (NDANEV), demonstrating the superior accuracy and robustness of the AConvST-LSTM-Net-TL model in comparisn to other prediction methods.

Physics-informed deep learning with multi-resolution for ensemble prediction of lithium-ion battery health status

Abstract Accurate prediction of the health status is critical for the reliability and safety of lithium-ion batteries (LIBs). However, some methods do not consider physical information in battery capacity degradation and typically overlook the capacity regeneration phenomenon (CRP) in their predictions. In this study, a multi-resolution and ensemble prediction method based on physics-informed deep learning for LIBs status is proposed. Specifically, multi-resolution decomposition is performed on battery capacity degradation trends to analyze global and local features. Global degradation features are physically modeled and integrated into the deep learning model to enhance interpretability and prediction accuracy. Local features can reflect CRP, and ensemble prediction of both global and local features can enhance feature-capturing capability and prediction accuracy. Experimental results indicate that the mean absolute error and root mean square error of this method, for capacity prediction, is almost consistently within 0.01. The absolute error for remaining useful life prediction is nearly within 1 cycle, which validates the effectiveness and stability of this method for LIBs health status prediction.

Mitigation of Polysulfide Shuttling in Lithium-Sulfur Batteries Utilizing Vanadium Pentoxide/Polypyrrole Nanocomposite Separators.

Lithium-sulfur (Li-S) batteries are promising energy storage devices due to their high theoretical energy density and cost-effectiveness. However, the shuttle effect of polysulfides during the charging and discharging processes leads to a rapid decline in capacity, thereby restricting their application in energy storage. The separator, a crucial component of Li-S batteries, facilitates the transport of Li+ ions. However, the large pores present on the surface of the separator are insufficient to prevent the shuttling effect of polysulfides. This paper proposes a straightforward coating method to introduce a vanadium pentoxide (V2O5) /polypyrrole (PPy) functional coating on the surface of a conventional polymer separator. The unique composition of the V2O5/PPy layer plays an essential role in effectively preventing the bidirectional movement ofpolysulfides and the subsequent formation of inactive sulfur. Compared to those using polypyrrole separators,when equipped with a V2O5/PPy separator, the capacity retention after 100 cycles was recorded at 98%, with a measured rate of capacity degradation at just 0.016%, despite the sulfur content being as high as 1.84 mg cm⁻². Furthermore, after 400 cycles at 1C, the capacity retention rate reached 57.6%. The thoughtful design of this modified separator represents an effective strategy for improving the performance of Li-S batteries.

In-situ conversion of BiOBr to Br-doped BiOCl nanosheets for "rocking chair" zinc-ion battery.

Developing insertion-type anodes is essential for designing high-performance "rocking chair" zinc-ion batteries. BiOCl shows great potential as an insertion-type anode material for Zn2+ storage due to its high specific capacity and unique layered structure. However, the development of BiOCl has been significantly hampered by its poor stability and kinetics during cycling. In this study, Br-doped and carbon-coated BiOCl ultrathin nanosheets (Br-BiOCl@NC) are synthesized as high-performance anodes. The ultrathin nanosheet morphology facilitates Zn2+/H+ transfer and the Br doping reduces the Zn2+/H+ diffusion barrier. Additionally, the carbon coating enhances the electronic transfer. Furthermore, an insertion-conversion mechanism involving H+ and Zn2+ storage is revealed by ex-situ tests. Therefore, Br-BiOCl@NC exhibits a high discharge capacity of 174mA h/g at 500mA/g without capacity degradation after 1000 cycles. The Br-BiOCl@NC//MnO2 full cell presents a discharge capacity of ≈ 120mA h/g at 200mA/g. This work offers valuable insights for the design of high-performance insertion-type anode materials in zinc-ion batteries.

In Situ Electrochemically Deposited Mg Seeds Stabilizing the Lithium Metal Anode

AbstractLithium metal, recognized for its extremely low reaction potential and ultrahigh theoretical specific capacity, is regarded as the “Holy Grail” of anode materials. However, the formation of lithium dendrites result in rapid cell capacity degradation and considerable safety issues, hindering its further advancement. In this study, in situ Mg seeds are generated on the lithium metal surface during cycling by incorporating MgCl2 into the electrolyte. These Mg seeds function as thiophilic sites, which lower the Li nucleation barrier and promote uniform Li nucleation and growth. Consequently, symmetric cells constructed with the carbonate electrolyte can cycle stably for over 400 h at a current density of 1 mA cm−2 and a capacity of 1 mAh cm−2. Notably, full cells using Li4Ti5O12 as the cathode can maintain stable cycling for 300 cycles, achieving a capacity retention rate of 71.9 %. This method has demonstrated its effectiveness in mitigating lithium dendrites formation and enhancing the performance of lithium metal batteries.

IRE1 is a Promising Therapeutic Target in Pancreatic Cancer.

Pancreatic cancer (PC) is one of the most aggressive malignancies, characterized by an increasing incidence and unfavorable prognosis. Despite recent advances, surgical resection combined with chemotherapy remains the only potentially curative therapeutic option. Therefore, it is of paramount importance to identify novel therapeutic targets and develop effective treatment strategies. Pancreatic ductal adenocarcinoma (PDAC), the most prevalent form of PC, originates from exocrine cells and is subjected to both intrinsic and extrinsic cellular stresses, including oncogene activation, loss of tumor suppressors, a hypoxic and immunosuppressive tumor microenvironment (TME), and chemotherapy, causing an accumulation of misfolded proteins within the endoplasmic reticulum (ER). The loss of ER proteostasis activates the unfolded protein response (UPR), an intracellular sensing-signaling network that enables cancer cells to alleviate ER stress and restore cellular proteostasis. The key UPR sensor Inositol-Requiring Enzyme 1 (IRE1) is an ER membrane protein that activates the transcription factor X-Box Protein 1 Spliced (XBP1s) through its cytoplasmic kinase-RNase module, promoting protein folding, secretion capacity, and proteasomal degradation of misfolded proteins. Additionally, it regulates IRE1-dependent decay (RIDD) of various mRNA and functions through scaffold interactions. In this review, we synthesize current evidence on the cell-autonomous and cell-non-autonomous roles of IRE1 in tumor initiation, progression, metastasis, and drug resistance in PDAC and outline key research directions to investigate IRE1 as a potential therapeutic target.

Effect of organic electrolyte and voltage on electrochemical performances and capacity degradation for Li-ion hybrid capacitors based on Nb2O5 anode

Effect of organic electrolyte and voltage on electrochemical performances and capacity degradation for Li-ion hybrid capacitors based on Nb2O5 anode

Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning

Abstract Accurately predicting battery lifetime in early cycles holds tremendous value in real-world applications. However, this task poses significant challenges due to diverse factors influencing complex battery capacity degradation, such as cycling protocols, ambient temperatures and electrode materials. Moreover, cycling under specific conditions is both resource-intensive and time-consuming. Existing predictive models, primarily developed and validated within a restricted set of ageing conditions, thus raise doubts regarding their extensive applicability. Here we introduce BatLiNet, a deep learning framework tailored to predict battery lifetime reliably across a variety of ageing conditions. The distinctive design is integrating an inter-cell learning mechanism to predict the lifetime differences between two battery cells. This mechanism, when combined with conventional single-cell learning, enhances the stability of lifetime predictions for a target cell under varied ageing conditions. Our experimental results, derived from a broad spectrum of ageing conditions, demonstrate BatLiNet’s superior accuracy and robustness compared to existing models. BatLiNet also exhibits transferring capabilities across different battery chemistries, benefitting scenarios with limited resources. We expect this study could promote exploration of cross-cell insights and facilitate battery research across comprehensive ageing factors.

A State-of-Health Estimation Method of a Lithium-Ion Power Battery for Swapping Stations Based on a Transformer Framework

Against the backdrop of automobile electrification, an increasing number of battery-swapping stations for electric vehicles have been launched to address the issue of slow battery charging under cold temperature conditions. However, due to the separation of the discharging and charging processes for lithium-ion batteries (LIBs) at swapping stations, and the circulation of batteries across different vehicles and stations, the operating data become fragmented, making it difficult to accurately identify the battery state-of-health (SOH). This study proposes a BiLSTM-Transformer framework that extracts the Constant Voltage Time (CVT) feature using only charging data, enabling the precise estimation of battery capacity degradation. Validation experiments conducted on battery samples under different operating temperatures showed that the model achieved a normalized RMSE of less than 1.6%. In ideal conditions, the normalized RMSE of the estimation reached as low as 0.11%. This model enables SOH estimation without relying on discharge data, contributing to the efficient and safe operation of battery swapping stations.

In situ self-cleaning removal of emerging organic contaminants with covalent organic framework armed with arylbiguanide.

An in situ self-cleaning covalent organic framework featuring arylbiguanide arms (Aryl-BIG-COF) was first developed to remove emerging organic pollutants such as propranolol (PRO) from water. The main breakthroughs addressed the scarcity of functional active sites, the impracticality of ex situ regeneration, and the rapid recombination of electronhole pairs in the application of COFs. Owing to the directional capture ability and electronic structure regulation of the arylbiguanide arms, the adsorption capacity and photocatalytic degradation rate of the newly synthesized COF increased by nearly four and seven times, respectively. Its self-cleaning ability, driven by the photocatalytic regeneration of active sites, enabled in situ removal of PRO and sustained over 90 % removal efficiency after six cycles. Moreover, it demonstrated broad applicability for removing PRO and other emerging pollutants, such as bisphenol A (BPA), tetracycline (TC), and norfloxacin (NOR), across various water matrices with less residual toxicity. The coexisting organic matter and ions in natural water promoted the removal of PRO. The enhancement mechanism involved arylbiguanide arms narrowing the band gap and inducing local charge polarization, thereby increasing the separation efficiency of electronhole pairs. This work provides significant insights into the structural design and practical applications of COFs for purifying water.

Melatonin alleviated chilling injury of cold-stored passion fruit by modulating cell membrane structure via acting on antioxidant ability and membrane lipid metabolism.

Fresh passion fruit is sensitive to chilling injury (CI) during storage at improper low temperature of 5°C, which lowers the fruit quality and limits its shelf life. The present study aimed to determine the impacts of melatonin on CI development of passion fruit in relation to antioxidant ability and membrane lipid metabolism during refrigeration. In present study, passion fruit was treated with 0.50mmolL-1 melatonin and distilled water (control) for 20min, hereafter stockpiled at 5°C. The results indicated that, in storage, melatonin-treated passion fruit showed the lower CI index and cell membrane permeability, lower superoxide anion production rate and malondialdehyde level, greater activities of catalase, superoxide dismutase and ascorbate peroxidase, higher levels of ascorbic acid and glutathione, and higher 1, 1-diphenyl-2-picrylhydrazyl radical scavenging capacity than control passion fruit. Besides, lower membrane lipid-degrading enzyme activities, lower contents of phosphatidic acid and saturated fatty acids (SFAs), higher levels of phosphatidylcholine, phosphatidylinositol and unsaturated fatty acids (USFAs), and greater ratio of USFAs to SFAs and index of USFAs were revealed in melatonin-treated passions than control passions. Thus, these results indicated that melatonin retained cell membrane structure via boosting antioxidant capacity and restricting membrane lipid degradation, accordingly increased the chilling resistance and delayed the CI development in fresh passion fruit.

Bimetallic ZnSe–SnSe2 heterostructure functionalized separator for high-rate Li–S batteries

Schematic illustration for the design of a ZnSe–SnSe2@OCN functionalized separator for Li–S batteries.

Reduction-Induced Topological Phase Transition to Construct K2Mn[Fe(CN)6] Superstructures for High-Performance Sodium-Ion Batteries.

Potassium manganese-based Prussian blue analogs (KMn-HCF) hold great potential as cathodes for sodium-ion batteries (SIBs). However, the rapid synthesis process often results in excessively small particle sizes, increasing surface area and thereby intensifying side reactions with the electrolyte, which can damage the cathode electrolyte interface (CEI) and diminish cycling stability. Herein, we designed a topological phase transition strategy to assemble small KMn-HCF particles into a 600 nm cubic superstructure. Structurally, the assembled structure in KMn-HCF significantly improves the cycling stability and durability of KMn-HCF as a SIB cathode by reducing defects, enhancing the uniformity and stability of the CEI layer, minimizing contact with the electrolyte, and reinforcing structural integrity. From a compositional perspective, KMn-HCF exhibits lower Jahn-Teller distortion, reducing overall lattice distortion while allowing larger K+ to act as pillars, supporting the Mn-HCF framework and preventing capacity degradation caused by structural deterioration. The robust CEI layer formed in the KMn-HCF cubic superstructure delivered stable charge-discharge voltage profiles and reversible plateaus, achieving a capacity retention of 88.4%/89.1% after 1000 cycles at current densities of 0.1 and 0.5 A g-1, respectively.

La3+ Doped Nickel‐Manganese Oxide as High‐Capacity Cathode for Sodium‐Ion Batteries Guided by Bayesian Optimization

In sodium‐ion batteries, the layered transition metal oxides used as cathode often experience interlayer sliding of interlayer spacing and lattice variations during charge/discharge, leading to structural damage and capacity degradation. To address this challenge, a La3+ doping strategy guided by Bayesian optimization has been employed to prepare the high‐performance O3‐NaNi0.39Mn0.50Cu0.06La0.05O2 (NMCL) cathode material. Density functional theory calculations reveal that the O 2p orbital overlaps with the t2g orbital of transition metals in NMCL, facilitating the formation of Na‐O‐La bonds and promoting the oxygen redox reaction kinetics. During the Na⁺ (de)intercalation process, NMCL exhibits significant negative lattice expansion, characterized by an increase in the c lattice parameter and exceptionally low volume expansion of 1.8% and 3.4%, respectively. Consequently, it delivers an excellent specific capacity of 243.3 mAh g‐1 over a wide voltage range of 2.0 V to 4.5 V, which can be attributed to La3+ doping that promotes oxidation of O2‐ to peroxide O2n‐ (n < 2) during charge.

La3+ Doped Nickel-Manganese Oxide as High-Capacity Cathode for Sodium-Ion Batteries Guided by Bayesian Optimization.

In sodium-ion batteries, the layered transition metal oxides used as cathode often experience interlayer sliding of interlayer spacing and lattice variations during charge/discharge, leading to structural damage and capacity degradation. To address this challenge, a La3+ doping strategy guided by Bayesian optimization has been employed to prepare the high-performance O3-NaNi0.39Mn0.50Cu0.06La0.05O2 (NMCL) cathode material. Density functional theory calculations reveal that the O2p orbital overlaps with the t2g orbital of transition metals in NMCL, facilitating the formation of Na-O-La bonds and promoting the oxygen redox reaction kinetics. During the Na+ (de)intercalation process, NMCL exhibits significant negative lattice expansion, characterized by an increase in the c lattice parameter and exceptionally low volume expansion of 1.8 % and 3.1 %, respectively. Consequently, it delivers an excellent specific capacity of 243.3 mAh g-1 over a wide voltage range of 2.0 V to 4.5 V, which can be attributed to La3+ doping that promotes oxidation of O2- to peroxide O2 n- (n<2) during charge.

Phase Transition Driven Zn‐Ion Battery With Laser‐Processed V2C/V2O5 Electrodes for Wearable Temperature Monitoring

AbstractFlexible power supply devices present significant potential for wearable bioelectronics within the Internet of Things. Aqueous zinc‐ion batteries have emerged as a viable and safe alternative for power supply in flexible electronics. Nevertheless, typical battery behaviors are generally detrimental with unfavorable phase transition of electrodes, which invariably lead to rapid performance degradation. Here, extraordinary capacity enhancement of 150% is presented, sustained over 60 000 cycles, attained using vanadium carbide MXene (V2C)/vanadium pentoxide (V2O5) heterostructure as cathode. The unique cathode material is created through the rational engineering of MAX (V2AlC), employing a single‐step laser writing process. The ultrastable Zn ion battery stands in stark contrast to all previously reported counterparts, which typically exhibit capacity degradation within a few hundred/thousand cycles. The primary mechanisms driving this enhancement include the delamination of V2C MXene and an unexpected favorable phase transition during cycling. Additionally, a wearable power supply is constructed using a series configuration and is integrated with a commercial temperature sensor for wireless, real‐time body temperature monitoring. This study highlights the critical role of electrode design for advanced wearable bioelectronics.

Suppressing Zinc Metal Corrosion by an Effective and Durable Corrosion Inhibitor for Stable Aqueous Zinc Batteries

AbstractThe development of aqueous zinc‐ion batteries (AZIBs) for large‐scale industrial applications is substantially constrained by the persistent issue of zinc anode corrosion. This study introduces fucoidan (FCD), a corrosion inhibitor, to effectively mitigate the corrosion‐related challenges in zinc metal anodes. FCD forms a robust, covalently bonded layer on the zinc surface at a low concentration of 25 mm through interactions between the lone pairs on its polar atoms and the d orbitals of zinc. This layer is ultrathin, which does not deteriorate ion transfer but effectively shields the zinc from corrosive electrolytes and promotes uniform zinc deposition, resulting in suppressed corrosion, passivation, and dendrite formation. Consequently, the Zn||Zn cells exhibit excellent reversibility, stably operating for 2700 h at 1 mA cm−2 under 1 mAh cm−2 and 400 h at 10 mA cm−2 under 10 mAh cm−2. Furthermore, a large‐sized Zn||I2 pouch cell with a high iodine loading of 2 g and a discharge capacity of ≈300 mAh is demonstrated, which shows minimal capacity degradation—&lt;3% after 300 cycles—and maintains a high Coulombic efficiency of ≈99.5%. The corrosion inhibition strategy proposed in this study provides crucial insights for enhancing the durability and practicability of AZIBs.

Enhancement Strategies for Si/C Electrodes in Lithium-Ion Batteries

The escalating dependence on energy within contemporary society while facing the limitations of traditional fossil fuels has spurred the advancement of energy storage technologies, with particular emphasis on lithium-ion batteries (LIBs). Si/C composite anodes have emerged as a viable alternative to graphite anodes, primarily owing to their superior specific capacity and improved cycling performance. However, Si anodes face the challenge of volume expansion during charge/discharge cycling, which leads to capacity degradation and limits their practical application in LIBs. Recent research has focused on addressing these issues through various strategies aimed at optimizing the structural stability and enhancing the electrochemical performance of Si/C composites. The explored key methodologies include the implementation of double carbon shells, the optimization of porosity, and innovative microelectronic printing techniques. These approaches have demonstrated significant improvements in the cycle life and energy retention of the batteries, positioning Si/C composites as a promising solution for next-generation high-performance energy storage systems.

Encapsulating Ultrafine In2O3 Particles in Carbon Nanofiber Framework as Superior Electrode for Lithium-Ion Batteries

Indium oxide (In2O3) is a promising anode material for next-generation lithium-ion batteries and is prized for its high electrical conductivity, environmental friendliness, and high theoretical capacity. However, its practical application is significantly limited by severe volume expansion and contraction during the lithium insertion/extraction process. This volume change disrupts the solid electrolyte interphase (SEI) and degrades contact with the current collector, undermining battery performance. Although the nano-structured design of In2O3 can mitigate the volume effect to some extent, pure In2O3 nanomaterials are prone to agglomeration during frequent charging and discharging. The pure In2O3-based electrode shows a sustained and rapid capacity degradation. In this study, we embed ultrafine In2O3 particles in a carbon nanofiber framework using electrospinning and thermal annealing. The 1D carbon nanofiber structure provides an effective electronic conductive network and reduces the length of lithium-iondiffusion, which enhances the reactivity of the nanocomposite and improves electrode kinetics. Additionally, the carbon nanofiber framework isolates ultrafine In2O3 particles, preventing their aggregation. The small volume changes due to the ultrafine size of the In2O3 are buffered by the carbon materials, allowing the overall structure of the In2O3/C composite nanofiber to remain largely intact without crushing during charging and discharging cycles. This stability helps avoid electrode fracture and excessive SEI growth, resulting in superior cycle and rate performance compared with the pure In2O3 nanofiber electrodes.

Recent Progress and Challenges of Li-Rich Mn-Based Cathode Materials for Solid-State Lithium-Ion Batteries.

Li-rich Mn-based (LRM) cathode materials, characterized by their high specific capacity (>250 mAh g-¹) and cost-effectiveness, represent promising candidates for next-generation lithium-ion batteries. However, their commercial application is hindered by rapid capacity degradation and voltage fading, which can be attributed to transition metal migration, lattice oxygen release, and the toxicity of Mn ions to the anode solid electrolyte interphase (SEI). Recently, the application of LRM cathode in all-solid-state batteries (ASSBs) has garnered significant interest, as this approach eliminates the liquid electrolyte, thereby suppressing transition metal crosstalk and solid-liquid interfacial side reactions. This review first examines the historical development, crystal structure, and mechanisms underlying the high capacity of LRM cathode materials. It then introduces the current challenges facing LRM cathode and the associated degradation mechanisms and proposes solutions to these issues. Additionally, it summarizes recent research on LRM materials in ASSBs and suggests strategies for improvement. Finally, the review discusses future research directions for LRM cathode materials, including optimized material design, bulk doping, surface coating, developing novel solid electrolytes, and interface engineering. This review aims to provide further insights and new perspectives on applying LRM cathode materials in ASSBs.