TY - JOUR
T1 - Review of recent progress in sintering of solid-state batteries
T2 - Application and modelling
AU - Sazvar, Amirreza
AU - Hajibandeh, Masoumeh
AU - Vafaei, Pariya
AU - Hosseinzadeh, Elham
AU - Jabbari, Masoud
N1 - © 2024 The Authors
PY - 2024/11/10
Y1 - 2024/11/10
N2 - The increasing demand for advanced energy storage solutions has fuelled an increasing need for cutting-edge technologies that can provide high battery capacity, safety, and environmental sustainability. This comprehensive review article embarks on an exploration of the latest advances in solid-state batteries, offering a panoramic view of their evolution. Another pivotal aspect of this review is an in-depth analysis of recent advancements in battery materials sintering techniques, with a particular focus on cold sintering and flash sintering. By delving into the fundamental principles of sintering, we illustrate the substantial potential of these innovative methods in shaping the future of energy storage technologies. These techniques are instrumental in streamlining the manufacturing process of solid-state batteries, making them more efficient and sustainable. Additionally, the review extends its scope to encompass the modelling of these sintering processes, emphasising their helpful role in the sintering of solid-state batteries. Furthermore, the article ventures into the modelling of solid-state batteries, introducing the powerful tool of machine learning to enhance the understanding and optimisation of these advanced energy storage systems. This synergy between modelling and machine learning promises to expedite the development of robust and cost-effective solid-state batteries.
AB - The increasing demand for advanced energy storage solutions has fuelled an increasing need for cutting-edge technologies that can provide high battery capacity, safety, and environmental sustainability. This comprehensive review article embarks on an exploration of the latest advances in solid-state batteries, offering a panoramic view of their evolution. Another pivotal aspect of this review is an in-depth analysis of recent advancements in battery materials sintering techniques, with a particular focus on cold sintering and flash sintering. By delving into the fundamental principles of sintering, we illustrate the substantial potential of these innovative methods in shaping the future of energy storage technologies. These techniques are instrumental in streamlining the manufacturing process of solid-state batteries, making them more efficient and sustainable. Additionally, the review extends its scope to encompass the modelling of these sintering processes, emphasising their helpful role in the sintering of solid-state batteries. Furthermore, the article ventures into the modelling of solid-state batteries, introducing the powerful tool of machine learning to enhance the understanding and optimisation of these advanced energy storage systems. This synergy between modelling and machine learning promises to expedite the development of robust and cost-effective solid-state batteries.
KW - Cold sintering
KW - Flash sintering
KW - Modelling
KW - Solid-state batteries
UR - http://www.scopus.com/inward/record.url?scp=85204806772&partnerID=8YFLogxK
U2 - 10.1016/j.est.2024.113863
DO - 10.1016/j.est.2024.113863
M3 - Review article
AN - SCOPUS:85204806772
SN - 2352-152X
VL - 101
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 113863
ER -