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524 results on '"Xia Yonggao"'

20. Multipoint Anionic Bridge: Asymmetric Solvation Structure Improves the Stability of Lithium‐Ion Batteries.

Author

Zheng, Tianle, Xu, Tonghui, Xiong, Jianwei, Xie, Weiping, Wu, Mengqi, Yu, Ying, Xu, Zhuijun, Liang, Yuxin, Liao, Can, Dong, Xiaoli, Xia, Yongyao, Cheng, Ya‐Jun, Xia, Yonggao, and Müller‐Buschbaum, Peter

Subjects
LITHIUM cells, STRUCTURAL stability, OXALATES, SOLVATION, DRAWING techniques
Abstract

In this study, a novel concept of multipoint anionic bridge (MAB) is proposed and proved, which utilizes anions with different sites to connect with the asymmetric solvation structure (ASS). Compared to usual solvation structures, this study utilizes the multifunctional groups of difluoro(oxalate)borate anion (ODFB−), which can connect with Li+. By tailoring the concentration, the anion serves as a bridge between different solvated structures. The electrolyte is investigated through in situ techniques and simulations to draw correlations between different solvation structures and reaction pathways. The proposed design demonstrates remarkable high‐temperature performance on both the anode and cathode sides, enabling stable cycling of LCO||graphite (0.5 Ah, 1.0 C) pouch cell for over 200 cycles at 80 °C and facilitating Li||MCMB and Li||LFP cells to deliver stable performance for 200 cycles at 100 °C. This work paves the way for the development of high‐performance electrolyte systems by designing and using new multipoint anions to construct ASSs. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Research on SOC Prediction of Lithium-Ion Batteries Based on OLHS-DBO-BP Neural Network.

Author

Wang, Genbao, Xue, Yejian, Qiao, Yafei, Song, Chunyang, Ming, Qing, Tian, Shuang, and Xia, Yonggao

Abstract

Accurately estimating the state of charge (SOC) of lithium-ion batteries is of great significance for extending battery lifespan and enhancing the efficiency of energy management. Regarding the issue of the relatively low estimation accuracy of SOC by the backpropagation neural network (BPNN), an enhanced dung beetle optimizer (DBO) algorithm is proposed to optimize the initial weights and thresholds of the BPNN. This overcomes the drawback of a single BP neural network being prone to local optimum and accelerates the convergence rate. Simulation analyses on the experimental data of NCM and A123 lithium batteries were conducted in Matlab R2022a. The results indicate that the proposed algorithm in this paper has an average SOC estimation error of less than 1.6% and a maximum error within 2.9%, demonstrating relatively high estimation accuracy and robustness, and it holds certain theoretical research significance. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Identifying the chemical and structural irreversibility in LiNi0.8Co0.15Al0.05O2 - a model compound for classical layered intercalation

Author

Liu, Haodong, Liu, Hao, Seymour, Ieuan D, Chernova, Natasha, Wiaderek, Kamila M, Trease, Nicole M, Hy, Sunny, Chen, Yan, An, Ke, Zhang, Minghao, Borkiewicz, Olaf J, Lapidus, Saul H, Qiu, Bao, Xia, Yonggao, Liu, Zhaoping, Chupas, Peter J, Chapman, Karena W, Whittingham, M Stanley, Grey, Clare P, and Meng, Ying Shirley

Subjects
Macromolecular and Materials Chemistry
Abstract

Anisotropic disorder along the c-axis results from static disorder.

Published
2018

28. Identifying the chemical and structural irreversibility in LiNi 0.8 Co 0.15 Al 0.05 O 2 – a model compound for classical layered intercalation

Author

Liu, Haodong, Liu, Hao, Seymour, Ieuan D, Chernova, Natasha, Wiaderek, Kamila M, Trease, Nicole M, Hy, Sunny, Chen, Yan, An, Ke, Zhang, Minghao, Borkiewicz, Olaf J, Lapidus, Saul H, Qiu, Bao, Xia, Yonggao, Liu, Zhaoping, Chupas, Peter J, Chapman, Karena W, Whittingham, M Stanley, Grey, Clare P, and Meng, Ying Shirley

Subjects
Inorganic Chemistry, Engineering, Materials Engineering, Chemical Sciences, Macromolecular and Materials Chemistry, Interdisciplinary Engineering, Macromolecular and materials chemistry, Chemical engineering, Materials engineering
Abstract

Anisotropic disorder along the c-axis results from static disorder.

Published
2018

33. Fast, One‐Step In Situ Synthesis of a Hierarchical Sn4+‐Doped TiNb2O7 Nanosphere as a High‐Performance Anode Material.

Author

Wang, Xiaoyan, Xu, Zhuijun, Amzil, Said, Cheng, Ya‐Jun, Lin, Long, Ji, Qing, Liang, Suzhe, Zhu, Jin, Duan, Jingkuan, Zheng, Tianle, and Xia, Yonggao

Subjects
NIOBIUM oxide, IONIC conductivity, TITANIUM dioxide, TITANIUM oxides, CYCLIC voltammetry
Abstract

Titanium niobium oxide (TNO) exhibits great potential as a lithium‐ion battery anode due to its high capacity, minimal volume change during cycling, and safe good operation characteristic enabled from its voltage profile. However, its intrinsically low electronic and ionic conductivity hinders its potential for practical applications. This work proposes a facile coprecipitation method to address these limitations by incorporating a nano‐macro structure and in situ Sn ion doping into bulk TNO. This approach ensures homogeneous integration of TNO precursors and the Sn dopant at a molecular level within the co‐precipitation nanoparticles. Additionally, the use of low toxicity solvents facilitate scalability of the synthesis process. Excellent rate capability, high reversible capacities, and good capacity retention are achieved simultaneously due to synergistic effects of the bulk doping, which expands the crystal volume and enhances Li+ diffusion, combined with abundant surface area of the nano‐macro structures. The specific capacity of Sn‐doped TNO nanospheres remains at 180 mAh/g at a high current density of 40 C (1 C=400 mA g−1), which is nearly four times higher than that of undoped samples. Furthermore, the cyclic voltammetry analysis at various scanning rates reveals an increased Li+ diffusion rate in Sn doped titanium niobium dioxide. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Gas-solid interfacial modification of oxygen activity in layered oxide cathodes for lithium-ion batteries.

Author

Qiu, Bao, Zhang, Minghao, Wu, Lijun, Wang, Jun, Xia, Yonggao, Qian, Danna, Liu, Haodong, Hy, Sunny, Chen, Yan, An, Ke, Zhu, Yimei, Liu, Zhaoping, and Meng, Shirley

Abstract

Lattice oxygen can play an intriguing role in electrochemical processes, not only maintaining structural stability, but also influencing electron and ion transport properties in high-capacity oxide cathode materials for Li-ion batteries. Here, we report the design of a gas-solid interface reaction to achieve delicate control of oxygen activity through uniformly creating oxygen vacancies without affecting structural integrity of Li-rich layered oxides. Theoretical calculations and experimental characterizations demonstrate that oxygen vacancies provide a favourable ionic diffusion environment in the bulk and significantly suppress gas release from the surface. The target material is achievable in delivering a discharge capacity as high as 301 mAh g(-1) with initial Coulombic efficiency of 93.2%. After 100 cycles, a reversible capacity of 300 mAh g(-1) still remains without any obvious decay in voltage. This study sheds light on the comprehensive design and control of oxygen activity in transition-metal-oxide systems for next-generation Li-ion batteries.

Published
2016

40. In Situ Formation of a LiBO2 Coating Layer and Spinel Phase for Ni-Rich Cathode Materials from a Boric Acid-Etched Precursor

Author

Guo, Ziyin, Shi, Xiaotang, Cao, Longhao, Zhang, Jing, Zhang, Xiaosong, Yao, Jiang, Cheng, Ya-Jun, Xia, Yonggao, Guo, Ziyin, Shi, Xiaotang, Cao, Longhao, Zhang, Jing, Zhang, Xiaosong, Yao, Jiang, Cheng, Ya-Jun, and Xia, Yonggao

Abstract

Ni-rich cathode materials exhibit superior energy densities and have attracted interest among both research and industrial fields; whereas, their practical application is hindered by the intrinsic drawbacks brought by the high nickel content such as structural instability and rapid capacity fading. Herein, in situ formation of a LiBO2 coating layer and spinel phase layer is achieved on the surface of a Ni-rich cathode material via a boric acid etching method at the precursor state. The spinel phase is considered to have a 3D lithium diffusion tunnel and hence faster diffusion kinetics. Moreover, the LiBO2 layer possesses excellent (electro)-chemical inertness and can suppress electrolyte decomposition, resulting in a more inorganic and stable cathode-electrolyte interface. The surface reconstructed sample exhibits better cyclic stability (93.3% capacity retention vs 85.3% for the pristine sample at 1 C for 100 cycles) and rate performance. The superiority of this surface reconstruction is demonstrated by a series of electrochemical techniques and characterization methods including high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM), post-mortem X-ray photoelectron spectroscopy (XPS) analysis, and density functional theory (DFT) calculations.

Published
2024
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46. Ether‐Based Electrolyte for High‐Temperature and High‐Voltage Lithium Metal Batteries

Author

Xu, Tonghui, primary, Zheng, Tianle, additional, Ru, Zhengzheng, additional, Song, Jinhua, additional, Gu, Meirong, additional, Yue, Ye, additional, Xiao, Yiyao, additional, Amzil, Said, additional, Gao, Jie, additional, Müller‐Buschbaum, Peter, additional, Wang, Ke, additional, Zhao, Hongbin, additional, Cheng, Ya‐Jun, additional, and Xia, Yonggao, additional

Published
2024
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