Selecting the appropriate features in battery lifetime predictions

A Geslin, B Van Vlijmen, X Cui, A Bhargava… - Joule, 2023 - cell.com
Data-driven models are being developed to predict battery lifetime because of their ability to
capture complex aging phenomena. In this perspective, we demonstrate that it is critical to …

Model-based health-aware fast charging to mitigate the risk of lithium plating and prolong the cycle life of lithium-ion batteries in electric vehicles

N Wassiliadis, J Kriegler, KA Gamra… - Journal of Power Sources, 2023 - Elsevier
The observed shift to a fully electrified transport sector with steadily increasing sales of
battery electric vehicles has led to their wider use under demanding operation conditions …

Transferable data-driven capacity estimation for lithium-ion batteries with deep learning: A case study from laboratory to field applications

Q Wang, M Ye, X Cai, DU Sauer, W Li - Applied Energy, 2023 - Elsevier
Capacity estimation plays a vital role in ensuring the health and safety management of
lithium-ion battery-based electric-drive systems. This research focuses on developing a …

On the damage and performance degradation of multifunctional sandwich structure embedded with lithium-ion batteries under impact loading

H Li, D Zhou, J Cao, Z Li, C Zhang - Journal of Power Sources, 2023 - Elsevier
The integration of energy storage and load bearing in composite structures provides an
alternative ideal solution for the next generation of delivery equipment due to its potential in …

Mechanistic calendar aging model for lithium-ion batteries

A Karger, J Schmitt, C Kirst, JP Singer… - Journal of Power …, 2023 - Elsevier
In this work we present a novel mechanistic calendar aging model for a commercial lithium-
ion cell with NCA cathode and silicon-graphite anode. The mechanistic calendar aging …

[HTML][HTML] Evaluation of the second-life potential of the first-generation Nissan Leaf battery packs in energy storage systems

W Gao, Z Cao, NV Kurdkandi, Y Fu, C Mi - eTransportation, 2024 - Elsevier
Nissan Leaf was the first mass-produced electric vehicles (EV) using lithium-ion batteries
(LiB). Most of the first generation (Gen 1) battery packs have been retired after approximately …

Quantifying the impact of V2X operation on electric vehicle battery degradation: An experimental evaluation

J Gong, D Wasylowski, J Figgener, S Bihn, F Rücker… - ETransportation, 2024 - Elsevier
To further boost electric vehicle adoption, Vehicle-to-Everything (V2X) technology, including
Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) applications, has gained prominence …

Collaborative training of deep neural networks for the lithium-ion battery aging prediction with federated learning

T Kröger, A Belnarsch, P Bilfinger, W Ratzke… - eTransportation, 2023 - Elsevier
Accurate and reliable prediction of the future capacity degradation of lithium-ion batteries is
crucial for their application in electric vehicles. Recent publications have highlighted the …

Investigation of lithium-ion battery nonlinear degradation by experiments and model-based simulation

H You, X Wang, J Zhu, B Jiang, G Han, X Wei… - Energy Storage …, 2024 - Elsevier
Understanding the lithium-ion battery (LIB) nonlinear degradation is essential for battery full-
lifespan usage and management. In this study, LIBs are cycled under conditions of low …

Lithium loss, resistance growth, electrode expansion, gas evolution, and Li plating: Analyzing performance and failure of commercial large-format NMC-Gr lithium-ion …

P Gasper, N Sunderlin, N Dunlap, P Walker… - Journal of Power …, 2024 - Elsevier
Abstract Analysis of the performance evolution and failure mechanisms of commercial Li-ion
batteries is crucial for improving testing methods, accurately modeling battery performance …