TY - JOUR
T1 - Designing positive electrodes with high energy density for lithium-ion batteries
AU - Okubo, Masashi
AU - Ko, Seongjae
AU - Dwibedi, Debasmita
AU - Yamada, Atsuo
N1 - Funding Information:
This work was nancially supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan; Grant-in-Aid for Specially Promoted Research No. 15H05701 and Scientic Research (S) No. 20H05673. M. O. was nancially supported by JSPS KAKENHI Grant Numbers 19H05816, 18K19124, 18H03924, and the Asahi Glass Foundation.
Publisher Copyright:
© The Royal Society of Chemistry 2021.
PY - 2021/3/28
Y1 - 2021/3/28
N2 - The development of efficient electrochemical energy storage devices is key to foster the global market for sustainable technologies, such as electric vehicles and smart grids. However, the energy density of state-of-the-art lithium-ion batteries is not yet sufficient for their rapid deployment due to the performance limitations of positive-electrode materials. The development of large-capacity or high-voltage positive-electrode materials has attracted significant research attention; however, their use in commercial lithium-ion batteries remains a challenge from the viewpoint of cycle life, safety, and cost. In this review, after summarizing the limitation issues associated with large-capacity/high-voltage positive electrodes and already attempted technical solutions, a machine-learning technique is applied to analyze the reported dataset to hierarchize various technical solutions by their effectiveness in improving performance. The proposed study highlights the importance of integrating systematic experimental data collection with modern data analysis techniques for rational development of large-capacity/high-voltage positive electrodes. The scope is extended to important technical issues with other cell components, such as electrolytes and additives, binders, conductive carbon, current collectors, and impurity control for total optimization.
AB - The development of efficient electrochemical energy storage devices is key to foster the global market for sustainable technologies, such as electric vehicles and smart grids. However, the energy density of state-of-the-art lithium-ion batteries is not yet sufficient for their rapid deployment due to the performance limitations of positive-electrode materials. The development of large-capacity or high-voltage positive-electrode materials has attracted significant research attention; however, their use in commercial lithium-ion batteries remains a challenge from the viewpoint of cycle life, safety, and cost. In this review, after summarizing the limitation issues associated with large-capacity/high-voltage positive electrodes and already attempted technical solutions, a machine-learning technique is applied to analyze the reported dataset to hierarchize various technical solutions by their effectiveness in improving performance. The proposed study highlights the importance of integrating systematic experimental data collection with modern data analysis techniques for rational development of large-capacity/high-voltage positive electrodes. The scope is extended to important technical issues with other cell components, such as electrolytes and additives, binders, conductive carbon, current collectors, and impurity control for total optimization.
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U2 - 10.1039/d0ta10252k
DO - 10.1039/d0ta10252k
M3 - Review article
AN - SCOPUS:85103436997
SN - 2050-7488
VL - 9
SP - 7407
EP - 7421
JO - Journal of Materials Chemistry A
JF - Journal of Materials Chemistry A
IS - 12
ER -