Search

Your search keyword '"Momma, Toshiyuki"' showing total 483 results
Start Over Author "Momma, Toshiyuki"
483 results on '"Momma, Toshiyuki"'

5. Data‐Driven Cycle Life Prediction of Lithium Metal‐Based Rechargeable Battery Based on Discharge/Charge Capacity and Relaxation Features.

Author

Si, Qianli, Matsuda, Shoichi, Yamaji, Youhei, Momma, Toshiyuki, and Tateyama, Yoshitaka

Subjects
MACHINE learning, BATTERY management systems, FEATURE selection, STORAGE batteries, ENERGY density
Abstract

Achieving precise estimates of battery cycle life is a formidable challenge due to the nonlinear nature of battery degradation. This study explores an approach using machine learning (ML) methods to predict the cycle life of lithium‐metal‐based rechargeable batteries with high mass loading LiNi0.8Mn0.1Co0.1O2 electrode, which exhibits more complicated and electrochemical profile during battery operating conditions than typically studied LiFePO₄/graphite based rechargeable batteries. Extracting diverse features from discharge, charge, and relaxation processes, the intricacies of cell behavior without relying on specific degradation mechanisms are navigated. The best‐performing ML model, after feature selection, achieves an R2 of 0.89, showcasing the application of ML in accurately forecasting cycle life. Feature importance analysis unveils the logarithm of the minimum value of discharge capacity difference between 100 and 10 cycle (Log(|min(ΔDQ 100–10(V))|)) as the most important feature. Despite the inherent challenges, this model demonstrates a remarkable 6.6% test error on unseen data, underscoring its robustness and potential for transformative advancements in battery management systems. This study contributes to the successful application of ML in the realm of cycle life prediction for lithium‐metal‐based rechargeable batteries with practically high energy density design. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

7. Scale-up Efforts

Author

Osaka, Tetsuya, Yokoshima, Tokihiko, Nara, Hiroki, Mikuriya, Hitoshi, Momma, Toshiyuki, and Kanamura, Kiyoshi, editor

Published
2021
Full Text
View/download PDF

15. LiNbO3and LiTaO3Coating Effects on the Interface of the LiCoO2Cathode: A DFT Study of Li-Ion Transport

Author

Zhou, Zizhen, Luong, Huu Duc, Gao, Bo, Momma, Toshiyuki, and Tateyama, Yoshitaka

Abstract

In solid-state batteries, the interface between cathodes and solid electrolytes is crucial and coating layers play a vital role. LiNbO3has been known as a promising coating material, whereas recent studies showed its degradation via releasing oxygen and lithium during cycling. This computational study addresses the elucidation of essential characteristics of the coating materials by examining LiNbO3and its counterpart LiTaO3interfaces to a representative layered cathode, LiCoO2. Employing the interface CALYPSO method, we constructed explicit models of both coatings on LiCoO2. Our findings indicate that LiTaO3offers easier Li+migration at the interface due to the smaller difference in Li adiabatic potential at the interface, whereas LiNbO3more effectively suppresses oxygen activity at high delithiation states via lowering the O 2p states. This comparative analysis provides essential insights into optimizing coating materials for improved battery performance.

Published
2024
Full Text
View/download PDF

28. First-principles study on the interplay of strain and state-of-charge with Li-Ion diffusion in the battery cathode material LiCoO2

Author

Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. CCQM - Condensed, Complex and Quantum Matter Group, Zhou, Zizhen, Cazorla Silva, Claudio, Gao, Bo, Luong, Huu Doc, Momma, Toshiyuki, Tateyama, Yoshitaka, Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. CCQM - Condensed, Complex and Quantum Matter Group, Zhou, Zizhen, Cazorla Silva, Claudio, Gao, Bo, Luong, Huu Doc, Momma, Toshiyuki, and Tateyama, Yoshitaka

Abstract

Cathode degradation of Li-ion batteries (Li+) continues to be a crucial issue for higher energy density. A main cause of this degradation is strain due to stress induced by structural changes according to the state-of-charge (SOC). Moreover, in solid-state batteries, a mismatch between incompatible cathode/electrolyte interfaces also generates a strain effect. In this respect, understanding the effects of the mechanical/elastic phenomena associated with SOC on the cathode performance, such as voltage and Li+ diffusion, is essential. In this work, we focused on LiCoO2 (LCO), a representative LIB cathode material, and investigated the effects of biaxial strain and hydrostatic pressure on its layered structure and Li+ transport properties through first-principles calculations. With the nudged elastic band technique and molecular dynamics, we demonstrated that in Li-deficient LCO, compressive biaxial strain increases the Li+ diffusivity, whereas tensile biaxial strain and hydrostatic pressure tend to suppress it. Structural parameter analysis revealed the key correlation of "Co layer distances" with Li+ diffusion instead of "Li layer distances", as ordinarily expected. Structural analysis further revealed the interplay between the Li-Li Coulomb interaction, SOC, and Li+ diffusion in LCO. The activation volume of LCO under hydrostatic pressure was reported for the first time. Moreover, vacancy formation energy calculations showed that the Li intercalation potential could be decreased under compressive biaxial strain due to the weakening of the Li-O bond interaction. The present findings may serve to improve the control of the energy density performance of layered cathode materials., This work was supported in part by JSPS KAKENHI grant JP19H05815, MEXT as “Program for Promoting Research on the Supercomputer Fugaku” grants JPMXP1020200301 and JPMXP1020230325, Data Creation and Utilization Type Material Research and Development Project grant JPMXP1121467561, as well as JST COI-NEXT grant JPMJPF2016., Peer Reviewed, Postprint (published version)

Published
2023

Catalog

Books, media, physical & digital resources
See catalog results