Rechargeable batteries of the future—the state of the art from a BATTERY 2030+ perspective

M Fichtner, K Edström, E Ayerbe… - Advanced Energy …, 2022 - Wiley Online Library
The development of new batteries has historically been achieved through discovery and
development cycles based on the intuition of the researcher, followed by experimental trial …

Towards long lifetime battery: AI-based manufacturing and management

K Liu, Z Wei, C Zhang, Y Shang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …

Feature analyses and modeling of lithium-ion battery manufacturing based on random forest classification

K Liu, X Hu, H Zhou, L Tong… - IEEE/ASME …, 2021 - ieeexplore.ieee.org
Lithium-ion battery manufacturing is a highly complicated process with strongly coupled
feature interdependencies; a feasible solution that can analyze feature variables within …

Data specifications for battery manufacturing digitalization: current status, challenges, and opportunities

FM Zanotto, DZ Dominguez, E Ayerbe… - Batteries & …, 2022 - Wiley Online Library
Lithium‐ion battery (LIB) manufacturing requires a pilot stage that optimizes its
characteristics. However, this process is costly and time‐consuming. One way to overcome …

RUBoost-based ensemble machine learning for electrode quality classification in Li-ion battery manufacturing

K Liu, X Hu, J Meng, JM Guerrero… - … /ASME transactions on …, 2021 - ieeexplore.ieee.org
As a typical mechatronics system, the battery manufacturing chain becomes a hot research
topic because it directly determines electrode quality, further affecting manufactured battery …

Key performance indicators selection through an analytic network process model for tooling and die industry

D Rodrigues, R Godina, PE da Cruz - Sustainability, 2021 - mdpi.com
In the last few decades, the fast technological development has caused high
competitiveness among companies, encouraging a pursuit for strategies that allow them to …

Impact of electrode defects on battery cell performance: a review

A du Baret de Limé, T Lein, S Maletti… - Batteries & …, 2022 - Wiley Online Library
The continuing rise of electric mobility is driving demand for lithium‐ion batteries to
unprecedented levels. To ensure efficient production of high quality, yet affordable battery …

[HTML][HTML] In situ tomography of lithium-ion battery cells enabled by scanning acoustic imaging

D Wasylowski, S Neubauer, M Faber, H Ditler… - Journal of Power …, 2023 - Elsevier
Imaging the interior of battery cells provides vital information for battery manufacturing, as
well as lifetime and performance prediction. This work demonstrates a scalable and in-situ …

Digital engineering methods in practical use during mechatronic design processes

B Gerschütz, C Sauer, A Kormann, SJ Nicklas, S Goetz… - Designs, 2023 - mdpi.com
This work aims to evaluate the current state of research on the use of artificial intelligence,
deep learning, digitalization, and Data Mining in product development, mainly in the …

Data-driven cyber-physical system for quality gates in lithium-ion battery cell manufacturing

A Turetskyy, J Wessel, C Herrmann, S Thiede - Procedia CIRP, 2020 - Elsevier
In the production chain of Lithium-ion battery (LIB) cells, various processes influence
intermediate product features, which then influence the LIB performance. It is important to …