As batteries become increasingly essential for energy storage technologies,battery prognosis,and diagnosis remain central to ensure reliable operation and effective management,as well as to aid the in-depth investigat...As batteries become increasingly essential for energy storage technologies,battery prognosis,and diagnosis remain central to ensure reliable operation and effective management,as well as to aid the in-depth investigation of degradation mechanisms.However,dynamic operating conditions,cell-to-cell inconsistencies,and limited availability of labeled data have posed significant challenges to accurate and robust prognosis and diagnosis.Herein,we introduce a time-series-decomposition-based ensembled lightweight learning model(TELL-Me),which employs a synergistic dual-module framework to facilitate accurate and reliable forecasting.The feature module formulates features with physical implications and sheds light on battery aging mechanisms,while the gradient module monitors capacity degradation rates and captures aging trend.TELL-Me achieves high accuracy in end-of-life prediction using minimal historical data from a single battery without requiring offline training dataset,and demonstrates impressive generality and robustness across various operating conditions and battery types.Additionally,by correlating feature contributions with degradation mechanisms across different datasets,TELL-Me is endowed with the diagnostic ability that not only enhances prediction reliability but also provides critical insights into the design and optimization of next-generation batteries.展开更多
Lithium-sulfur battery(LSB)has attracted worldwide attention owing to its overwhelmingly high theoretical energy density of 2600Wh/kg due to the unique 16-electron electrochemical conversion reaction of elemental sulf...Lithium-sulfur battery(LSB)has attracted worldwide attention owing to its overwhelmingly high theoretical energy density of 2600Wh/kg due to the unique 16-electron electrochemical conversion reaction of elemental sulfur(S_(8))[1].However,the electrochemical conversion reaction of S_(8) is an exceedingly complex process that involves the generation of multiple intermediates(e.g.,lithium polysulfides(LiPSs))and multiphase transitions[1,2].Currently,the mechanistic investigations of the electrochemical conversion reaction of S_(8) upon discharging a LSB cell heavily rely on electrochemical titration and spectroscopic techniques[3].Nevertheless,the considerable complexity and intrinsic instability of the LSB system present substantial obstacles to obtaining accurate information for all sulfur-containing species,which significantly obstructs in-depth elucidation of the fundamental discharge mechanism of LSB[3,4].展开更多
Lithium-sulfur(Li-S)battery is recognized for the high theoretical energy density and cost-effective raw materials.However,the instability of Li metal anodes limits the cycle life of Li-S batteries under practical con...Lithium-sulfur(Li-S)battery is recognized for the high theoretical energy density and cost-effective raw materials.However,the instability of Li metal anodes limits the cycle life of Li-S batteries under practical conditions.In this study,we propose a dual interface-passivating regulation strategy using nitrocellulose(NC),a macromolecular nitrate,to stabilize the interface/interphase between the electrolyte and Li metal anode.Specifically,the macromolecular crowding effect and the reduction in lithium polysulfides(LiPSs)activity through nitrate coordination endow NC desirable bifunctionality to simultaneously suppress the depletion of Li salts and LiPSs corrosion,leading to better interface passivation than mono-functional additives such as LiNO_(3)and carboxymethyl cellulose.Consequently,the cycle life of Li-S batteries under practically demanding conditions(50μm Li anodes;4.0 mg cm^(-2)S athodes)is extended to 180 cycles,outperforming those of additive-free or LiNO_(3)-containing commercial electrolytes.This study highlights the potential of bifunctional macromolecular additive design for effectively dual-passivating the anode/electrolyte interface towards highly stable practical Li-S batteries.展开更多
The unique crystal structure and multiple redox couples of iron titanate(Fe_(2)TiO_(5)) provide it a high theoretical capacity and good cycling stability when used as an electrode. In this study, the electrospinning m...The unique crystal structure and multiple redox couples of iron titanate(Fe_(2)TiO_(5)) provide it a high theoretical capacity and good cycling stability when used as an electrode. In this study, the electrospinning method is employed to synthesize one-dimensional(1 D) Fe_(2)TiO_(5) nanochains. The as-prepared Fe_(2)TiO_(5) nanochains exhibited superior specific capacity(500 mAh·g^(-1) at 0.10 A·g^(-1)),excellent rate performance(180 mAh·g^(-1) at 5.00 A·g^(-1)),and good cycling stability(retaining 100% of the initial specific capacity at a current density of 1.00 A·g^(-1) after1000 cycles). The as-assembled Fe_(2)TiO_(5)/SCCB lithiumion capacitor(LIC) also delivered a competitive energy density(137.8 Wh·kg^(-1))andpowerdensity(11,250 W·kg^(-1)). This study proves that the as-fabricated1 D Fe_(2)TiO_(5) nanochains are promising anode materials for high-performance LICs.展开更多
Mesoporous silica(mSiO_(2))has attracted great interest as anode for lithium-ion batteries.However,the low intrinsic conductivity is a major challenge for its commercialization.In this study,a low-cost sol–gel method...Mesoporous silica(mSiO_(2))has attracted great interest as anode for lithium-ion batteries.However,the low intrinsic conductivity is a major challenge for its commercialization.In this study,a low-cost sol–gel method is employed to synthesize mesoporous silica anchored on graphene nanosheets(rGO)for lithium storage.The results exhibit that the nanocomposite(mSiO_(2)@rGO)with high surface area(616.45 m^(2)·g^(–1))has chemical coupling bonds(Si–O–C)between SiO2 and rGO species,which would be favorable for lithium storage upon synergistic effects.Consequently,the mSiO_(2)@rGO exhibits a high specific capacity of 1119.6 mAh·g^(–1)at 0.1 A·g^(–1)with outstanding cycling stability(92.5%retention over 1400 cycles at 1.0 A·g^(–1)).展开更多
Valence state is identified as a key property of transition metal-based catalysts in conventional het-erogeneous catalysis research.For a specific monometal element,however,the regulatory role of valence state has sel...Valence state is identified as a key property of transition metal-based catalysts in conventional het-erogeneous catalysis research.For a specific monometal element,however,the regulatory role of valence state has seldom explored in emerging energy catalytic applications such as rechargeable lithium-sulfur batteries suffering from sluggish sulfur cathode conversion kinetics.In this study,two monometal oxides with distinct valence states,cupric oxide(CuO)and cuprous oxide(Cu_(2)O),were investigated,revealing valence-state-dependent interactions between oxides and sulfur species,as well as the modulated sulfur reduction reaction(SRR)kinetics.In addition to the inherent Cu^(2+)-enabled surface(poly)thiosulfate redox,divalent Cu^(2+)and monovalent Cu^(+)were found to steer the oxygen reactivity and so indirectly tune the lithium bond strength that dictates the surface chemisorption of lithium(poly)sulfides.The stronger interactions between CuO and sulfur species promoted SRR conversion kinetics,enabling enhanced lithium-sulfur battery performance under kinetically demanding conditions such as high-rate capability at 2 C with a moderate sulfur loading of 1.3 mg cm^(-2) and cycling stability for over 110 cycles at a high sulfur loading of 4.8 mg cm^(-2).This work is expected to expand the scope of metal-valence-state effect on heterogeneous catalysis and offer an unconventional"indirect"way to regulate lithium-bond chemistry for battery research.展开更多
基金supported by the National Natural Science Foundation of China(22379021 and 22479021)。
文摘As batteries become increasingly essential for energy storage technologies,battery prognosis,and diagnosis remain central to ensure reliable operation and effective management,as well as to aid the in-depth investigation of degradation mechanisms.However,dynamic operating conditions,cell-to-cell inconsistencies,and limited availability of labeled data have posed significant challenges to accurate and robust prognosis and diagnosis.Herein,we introduce a time-series-decomposition-based ensembled lightweight learning model(TELL-Me),which employs a synergistic dual-module framework to facilitate accurate and reliable forecasting.The feature module formulates features with physical implications and sheds light on battery aging mechanisms,while the gradient module monitors capacity degradation rates and captures aging trend.TELL-Me achieves high accuracy in end-of-life prediction using minimal historical data from a single battery without requiring offline training dataset,and demonstrates impressive generality and robustness across various operating conditions and battery types.Additionally,by correlating feature contributions with degradation mechanisms across different datasets,TELL-Me is endowed with the diagnostic ability that not only enhances prediction reliability but also provides critical insights into the design and optimization of next-generation batteries.
文摘Lithium-sulfur battery(LSB)has attracted worldwide attention owing to its overwhelmingly high theoretical energy density of 2600Wh/kg due to the unique 16-electron electrochemical conversion reaction of elemental sulfur(S_(8))[1].However,the electrochemical conversion reaction of S_(8) is an exceedingly complex process that involves the generation of multiple intermediates(e.g.,lithium polysulfides(LiPSs))and multiphase transitions[1,2].Currently,the mechanistic investigations of the electrochemical conversion reaction of S_(8) upon discharging a LSB cell heavily rely on electrochemical titration and spectroscopic techniques[3].Nevertheless,the considerable complexity and intrinsic instability of the LSB system present substantial obstacles to obtaining accurate information for all sulfur-containing species,which significantly obstructs in-depth elucidation of the fundamental discharge mechanism of LSB[3,4].
基金supported by the National Natural Science Foundation of China(22379021 and 22479021)。
文摘Lithium-sulfur(Li-S)battery is recognized for the high theoretical energy density and cost-effective raw materials.However,the instability of Li metal anodes limits the cycle life of Li-S batteries under practical conditions.In this study,we propose a dual interface-passivating regulation strategy using nitrocellulose(NC),a macromolecular nitrate,to stabilize the interface/interphase between the electrolyte and Li metal anode.Specifically,the macromolecular crowding effect and the reduction in lithium polysulfides(LiPSs)activity through nitrate coordination endow NC desirable bifunctionality to simultaneously suppress the depletion of Li salts and LiPSs corrosion,leading to better interface passivation than mono-functional additives such as LiNO_(3)and carboxymethyl cellulose.Consequently,the cycle life of Li-S batteries under practically demanding conditions(50μm Li anodes;4.0 mg cm^(-2)S athodes)is extended to 180 cycles,outperforming those of additive-free or LiNO_(3)-containing commercial electrolytes.This study highlights the potential of bifunctional macromolecular additive design for effectively dual-passivating the anode/electrolyte interface towards highly stable practical Li-S batteries.
基金financially supported by the Natural Science Foundation of Jiangsu Province(No.BK20170549)the National Natural Science Foundation of China(No.21706103)+1 种基金the China Postdoctoral Science Foundation(No.2019T120393)the Postdoctoral Science Foundation of Jiangsu Province(No.2019K295)。
文摘The unique crystal structure and multiple redox couples of iron titanate(Fe_(2)TiO_(5)) provide it a high theoretical capacity and good cycling stability when used as an electrode. In this study, the electrospinning method is employed to synthesize one-dimensional(1 D) Fe_(2)TiO_(5) nanochains. The as-prepared Fe_(2)TiO_(5) nanochains exhibited superior specific capacity(500 mAh·g^(-1) at 0.10 A·g^(-1)),excellent rate performance(180 mAh·g^(-1) at 5.00 A·g^(-1)),and good cycling stability(retaining 100% of the initial specific capacity at a current density of 1.00 A·g^(-1) after1000 cycles). The as-assembled Fe_(2)TiO_(5)/SCCB lithiumion capacitor(LIC) also delivered a competitive energy density(137.8 Wh·kg^(-1))andpowerdensity(11,250 W·kg^(-1)). This study proves that the as-fabricated1 D Fe_(2)TiO_(5) nanochains are promising anode materials for high-performance LICs.
基金This study was financially supported by the Postdoctoral Science Foundation of Jiangsu Province(No.2019K295)the Six Talent Peaks Project in Jiangsu Province(No.XNY-007,2018)+3 种基金the“333”Project in Jiangsu Province(No.BRA2019277)the Natural Science Foundation of Jiangsu Province(No.BK20170549)and the National Natural Science Foundation of China(Nos.21706103 and 22075109)Sherif A.El-Khodary would like to thank Jiangsu University for supporting the post-doctoral fellowship and funding the current project.
文摘Mesoporous silica(mSiO_(2))has attracted great interest as anode for lithium-ion batteries.However,the low intrinsic conductivity is a major challenge for its commercialization.In this study,a low-cost sol–gel method is employed to synthesize mesoporous silica anchored on graphene nanosheets(rGO)for lithium storage.The results exhibit that the nanocomposite(mSiO_(2)@rGO)with high surface area(616.45 m^(2)·g^(–1))has chemical coupling bonds(Si–O–C)between SiO2 and rGO species,which would be favorable for lithium storage upon synergistic effects.Consequently,the mSiO_(2)@rGO exhibits a high specific capacity of 1119.6 mAh·g^(–1)at 0.1 A·g^(–1)with outstanding cycling stability(92.5%retention over 1400 cycles at 1.0 A·g^(–1)).
基金supported by the National Natural Science Foundation of China(grant Nos.22379021 and 22479021)the Sichuan Science and Technology Program(grant No.2023NSFSC0115).
文摘Valence state is identified as a key property of transition metal-based catalysts in conventional het-erogeneous catalysis research.For a specific monometal element,however,the regulatory role of valence state has seldom explored in emerging energy catalytic applications such as rechargeable lithium-sulfur batteries suffering from sluggish sulfur cathode conversion kinetics.In this study,two monometal oxides with distinct valence states,cupric oxide(CuO)and cuprous oxide(Cu_(2)O),were investigated,revealing valence-state-dependent interactions between oxides and sulfur species,as well as the modulated sulfur reduction reaction(SRR)kinetics.In addition to the inherent Cu^(2+)-enabled surface(poly)thiosulfate redox,divalent Cu^(2+)and monovalent Cu^(+)were found to steer the oxygen reactivity and so indirectly tune the lithium bond strength that dictates the surface chemisorption of lithium(poly)sulfides.The stronger interactions between CuO and sulfur species promoted SRR conversion kinetics,enabling enhanced lithium-sulfur battery performance under kinetically demanding conditions such as high-rate capability at 2 C with a moderate sulfur loading of 1.3 mg cm^(-2) and cycling stability for over 110 cycles at a high sulfur loading of 4.8 mg cm^(-2).This work is expected to expand the scope of metal-valence-state effect on heterogeneous catalysis and offer an unconventional"indirect"way to regulate lithium-bond chemistry for battery research.
