Query: lithium battery

title: A Data Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium ion Battery
abstract: Predicting future capacities and remaining useful life (RUL) with uncertainty quantification is a key but challenging issue in the applications of battery health diagnosis and management. This article applies advanced machine learning techniques to achieve effective future capacities and RUL prediction for lithium ion (Li ion) batteries with reliable uncertainty management. To be specific, after using the empirical mode decomposition (EMD) method, the original battery capacity data is decomposed into some intrinsic mode functions (IMFs) and a residual. Then, the long short term memory (LSTM) submodel is applied to estimate the residual while the Gaussian process regression (GPR) submodel is utilized to fit the IMFs with the uncertainty level. Consequently, both the long term dependence of capacity and uncertainty quantification caused by the capacity regenerations can be captured directly and simultaneously. Experimental aging data from different batteries are deployed to evaluate the performance of proposed LSTM+GPR model in comparison with the solo GPR, solo LSTM, GPR+EMD, and LSTM+EMD models. Illustrative results demonstrate the combined LSTM+GPR model outperforms other counterparts and is capable of achieving accurate results for both 1 step and multistep ahead capacity predictions. Even predicting the RUL at the early battery cycle stage, the proposed data driven approach still presents good adaptability and reliable uncertainty quantification for battery health diagnosis.

title: An Intelligent Fault Diagnosis Method for Lithium Battery Systems Based on Grid Search Support Vector Machine
abstract: For the safe operation of the electric vehicle, it is critical to quickly detect the safety state and accurately identify the fault degree in battery packs. This article proposes a novel intelligent fault diagnosis method for Lithium ion batteries based on the support vector machine, which can identify the fault state and degree timely and efficiently. Due to the noise signal's existence, firstly, the discrete cosine filtering method is adopted, and the truncated frequency is optimized based on the characteristic of white noise to achieve reasonable denoising. Secondly, since the covariance matrix (CM) of filtered data is sensitive to the current fluctuation, a modified covariance matrix (MCM) is proposed to reduce the influence of current variation on the condition indicators. Thirdly, to ensure the accuracy and robustness of Support Vector Machine (SVM) the grid search method is proposed to optimize the kernel function parameter and penalty factor. Finally, the MCM and CM are respectively introduced into the model as the condition indicators, and the results show that the former has high accuracy and timeliness. In summary, the proposed intelligent fault diagnosis method is feasible. It provides the theoretical basis for future fault hierarchical management strategy of the battery system.

title: Anchoring succinonitrile by solvent Li+ associations for high performance solid state lithium battery
abstract: In this work, a new type of highly Li+ conductive, scalable, deformable succinonitrile based composite solid state electrolyte (denoted as SN CSSE) is proposed as a promising solid electrolyte for room temperature solid state lithium battery (SSLB) The electrospinning poly(vinylidene fluoride co hexafluoropropylene) (PVDF HFP) framework and UV irradiation method are applied to improve the mechanical properties of SN. To overcome the side reactions on lithium (Li) anode, the concentrated lithium salt is exploited to anchor SN molecules within solvent Li+ associations, which avoids direct contact between SN and Li metal and realize uniform Li deposition. Owing to the unique structural integration, the SN CSSE exhibits high ionic conductivity of 1.1 x 10 3 S*cm 1 at 30 degC, wide electrochemical window (0 5.1 V vs. Li+/Li) favorable mechanical strength (4.76 MPa) and excellent interfacial compatibility with Li (stable at a current density of 0.2 mA*cm 2 for over 500 h) The LiFePO4/Li cells provide an outstanding rate capability (5C) and cycling performance (a retention of 95% after 800 cycles at 1C) Moreover, the solid state pouch cell displays a favorable capacity of 15.6 mAh and maintains good cycling stability without significant capacity degradation after 150 cycles. Even under different abuse conditions, the cell still operated well, portending high application potential in safety required battery systems.

title: Comparison of the effects of incineration, vacuum pyrolysis and dynamic pyrolysis on the composition of NMC lithium battery cathode material production scraps and separation of the current collector
abstract: The rising demand for lithium batteries is challenging battery producers to increase their production. This is causing an accumulation of production scrap which must be treated to allow re utilization of cathode material in production. Several industrial lithium battery recycling processes use thermal pre treatment in an oxidative or inert atmosphere, or in a vacuum, to separate the battery components and remove organic material. However, a comparison of the effects of incineration, dynamic pyrolysis (under a constant flow of inert gas) and pyrolysis under vacuum on the microstructure and composition of scrap cathode material has not been explored. Scrap cathodes, with active material based on Li(NixMnyCoz)Oj, were subjected to incineration, dynamic pyrolysis, and pyrolysis under vacuum at 450@ 550@ and 650degC for 30, 60, 90, and 150 min to determine the best approach to cathode material recovery. While the incineration did not cause any chemical transformation of cathode material, under pyrolysis conditions the organic components in the cathodes triggered carbothermic reduction of the active material, yielding Co3O4, NiO, Mn3O4, and Li2CO3 as products. In the gas by products, formed from the decomposition of the organic material, CO, CO2, and HF were determined. The decomposition especially of the binder in polyvinylidene fluoride (PVDF) facilitated the separation of the active material from the current collector by mechanical treatment. By subsequent ball milling, the best technique to recover cathode material is the incineration at a temperature higher than 550@ C and below 650@ C for at least 90 min, with >95% of recovered active material.

title: Ionic liquid based solid electrolytes (ionogels) for application in rechargeable lithium battery
abstract: Ionic liquid (IL) based solid electrolytes are commonly known as ionogels (IGs) IGs are synthesized by the incorporation/entrapment of ILs in any inorganic or/and organic type solid host materials. After the incorporation of any typical lithium salt in IGs, it offers several advantages for lithium ion rechargeable batteries (LIBs) including safety based processing compatibility under the various operating thermal and electrochemical conditions. IGs show various advantages in terms of ionic conductivity, thermal and mechanical stability, chemical and electrochemical stability compared with the conventional liquid based electrolytes, and other solid electrolytes. These exotic features show that IGs are not only considered for LIBs but also used as promising solid electrolytes for the development of next generation rechargeable battery technologies. Various approaches for developing the lithium ion conducting IGs and their effect as solid electrolytes on the performance of LIBs are reviewed here. Moreover, this article emphasizes smart approaches for the synthesis of organic, inorganic, and hybrid host based IGs to achieve LIBs with high capacity, high rate capability, and excellent cycling stability. It is believed that the article will provide an update for the reader regarding the key advancement in the field of IL based solid electrolytes (IGs) for application in the rechargeable lithium battery.

title: Interrelated interfacial issues between a Li7La3Zr2O12 based garnet electrolyte and Li anode in the solid state lithium battery: a review
abstract: The Li7La3Zr2O12 based garnet (LLZO BG) electrolyte has the advantage of strong thermal stability and can, therefore, avoid the flammability problem of organic electrolyte solutions. However, the solid state lithium battery with LLZO BG electrolyte has a much larger electrochemical resistance and poorer performance than the battery with an organic electrolyte solution, which is mainly related to the electrolyte/electrode interface. From the perspective of the LLZO BG/Li interface, this review explores several interrelated interfacial issues, including the air instability of LLZO BG, poor LLZO BG/Li interfacial contact, easily generated lithium dendrite and the instability of LLZO BG with the Li anode. We elaborate on the forming mechanisms, affecting factors and measures for improving these issues, and prospects for the future research directions of the LLZO BG/Li interface. This review can provide new ideas for producing a solid state lithium battery with high safety and high energy density.

title: Cycle Stability of Dual Phase Lithium Titanate (LTO)/TiO2 Nanowires as Lithium Battery Anode
abstract: This work studied cycle stability of dual phase Lithium Titanate (LTO)/TiO2 nanowires as a lithium battery anode. Dual phase LTO/TiO2 nanowires were successfully synthesized by hydrothermal method at various times lithiation of 10, 24, and 48 h at 80 degC. SEM images show that the morphology of dual phase LTO/TiO2 is nanowires with a size around 100 200 nm in diameter. The XRD analysis result indicates nanowires main components are anatase (TiO2) and spinel Li4Ti5O12. The first discharge specific capacity of LTO/TiO2 10, LTO/TiO2 24, and LTO/TiO2 48 was 181.68, 175.29, and 154.30 mAh/g, respectively. After the rate capacity testing, the LTO/TiO2 10, LTO/TiO2 24, and LTO/TiO2 48 have maintained 161.25, 165.25, and 152.53 mAh/g separately. The retentions for each sample were 86.71, 92.86, and 89.79 Based on the results of electrochemical performance, increased LTO content helped increase samples cycle stability. However, the prolonged lithiation time also produced impurities, which reduced the cycle stability.

title: Lithiated nanosheets hybridized solid polymer electrolyte to construct Li+ conduction highways for advanced all solid state lithium battery
abstract: Solid state electrolyte is a key component of high energy density and security all solid state lithium metal battery. However, the present solid polymer electrolyte (SPE) often suffers from the trade off between ionic conductivity and mechanical stability. To this end, lithiated polydopamine modified graphene oxide nanosheets (LiDGO) are fabricated, and incorporated into the representative poly(ethylene oxide) (PEO) matrix to prepare hybrid solid polymer electrolyte (HSPE) Despite the decreased crystallinity of PEO, the intrinsic advantage of organic inorganic hybridization affords PEO based HSPE highly improved mechanical stability. The tensile strength and elongation at break of HSPE are, respectively, 237% and 133% higher than those of blank PEO. The constructed long range conduction pathways with locally concentrated Li+ at PEO LiDGO interfaces impart HSPE highly enhanced ionic conductivity. The ionic conductivity reaches 3.4 x 10 5 S cm 1 at 30 degC, 10 times higher than that of blank PEO. These then bring excellent battery performances. The assembled battery achieves a discharge capacity of ~156 mAh g 1 after 200 cycles with ultra high capacity retention of 98.7% The strategy of utilizing lithiated nanosheets to address the trade off between ionic conductivity and mechanical stability of SPE may pave the way for the development of high performance all solid state lithium metal batteries.

title: Superior lithium battery separator with extraordinary electrochemical performance and thermal stability based on hybrid UHMWPE/SiO2 nanocomposites via the scalable biaxial stretching process
abstract: As a vital part of lithium ion batteries (LIBs) the separator is closely related to the safety and electrochemical performance of LIBs. Despite the numerous membranes/separators available commercially, their thermal stability and service life still severely limit the efficiency and reliability of the battery. Herein, for the first time, we designed and prepared a hybrid ultra high molecular weight polyethylene (UHMWPE)/silicon dioxide (SiO2) nanocomposite membrane via a sequential biaxial stretching process. SEM, EDS, ATR FTIR, WAXS and TGA characterizations offer clear evidence for the successful preparation of UWMWPE SiO2 nanocomposite membranes. The influence of SiO2 on the structure and properties of UHMWPE membranes was systematically investigated. The presence of SiO2 improves various fundamental properties of UHMWPE separators, such as thermal stability, electrolyte uptake and wettability, ionic conductivity, and electrochemical performance. Thus, obtained lithium ion batteries have an excellent discharge capacity of 165 mAh g 1 at 0.1 C rate and 123 mAh g 1 at 5 C rate and a greater cycling performance over 100 cycles. Thus, this investigation delivers inspiration for the expansion of inorganic organic nanocomposite separators for next generation lithium ion batteries.

title: Control oriented thermal electrochemical modeling and validation of large size prismatic lithium battery for commercial applications
abstract: Adopting the uniform temperature for thermal electrochemical model is not suitable to simulate the large size battery which has big temperature difference between internal and surface. Furthermore, heavy computational burden of coupling model hinders the control oriented onboard applications. Therefore, considering the compensation with spatial temperature, a control oriented thermal electrochemical model is proposed and validated for commercial large size battery. For both parts of coupled model, the multilayer thermal model and polynomial approximation method are applied to describe the thermal behavior and electrochemical process. And the two way effects are coupled by the temperature dependent parameters which have vital influence in electrochemical reactions. Furthermore, the effectiveness of control oriented thermal model and electrochemical model is validated under two typical cycles and constant current loading at wide temperature range 25 degC 45 degC) Meanwhile, the variation of temperature dependent parameters and accuracy of coupled model are validated under two typical cycles at wide ambient temperature range. The results show that, for commercial large size battery, comparing with famous pseudo two dimensional model widely used in offline simulation, the accuracy is improved on average at different temperatures, and computational time falls 98.5% under dynamic loading conditions which satisfies the requirement of online calculation.