A review of modern machine learning techniques in the prediction of remaining useful life of lithium-ion batteries
P Sharma, BJ Bora - Batteries, 2022 - mdpi.com
The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …
causes of changing weather patterns and deteriorating health conditions. Furthermore …
[HTML][HTML] Interpretable machine learning for battery capacities prediction and coating parameters analysis
Battery manufacturing plays a direct and pivotal role in determining battery performance,
which, in turn, significantly affects the applications of battery-related energy storage systems …
which, in turn, significantly affects the applications of battery-related energy storage systems …
Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations
Surrogate models are indispensable tools in uncertainty quantification and global sensitivity
analysis. Polynomial chaos expansion (PCE) is one of the most widely used surrogate …
analysis. Polynomial chaos expansion (PCE) is one of the most widely used surrogate …
Thermal and stoichiometry inhomogeneity investigation of large-format lithium-ion batteries via a three-dimensional electrochemical-thermal coupling model
Large-format lithium-ion batteries (LIBs) have attracted extensive concern due to the
advantages of increasing energy density and reducing manufacturing costs. However …
advantages of increasing energy density and reducing manufacturing costs. However …
A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation
Lithium–ion batteries play a crucial role in clean transportation systems including EVs,
aircraft, and electric micromobilities. The design of battery cells and their production process …
aircraft, and electric micromobilities. The design of battery cells and their production process …
Machine learning in lithium‐ion battery cell production: a comprehensive mapping study
With the global quest for improved sustainability, partially realized through the electrification
of the transport and energy sectors, battery cell production has gained ever‐increasing …
of the transport and energy sectors, battery cell production has gained ever‐increasing …
Shearing-force-driven delamination of waste residue into oxidatively stable MXene composites for high-performance Si anode
The low yield of MXene is normally related to the delaminating step, contributing to the key
technical challenges in moving toward industrial applications. Here, a shearing-force-driven …
technical challenges in moving toward industrial applications. Here, a shearing-force-driven …
Energy-efficient driving for adaptive traffic signal control environment via explainable reinforcement learning
Energy-efficient driving systems can effectively reduce energy consumption during vehicle
operation. Most of the existing studies focus on the driving strategies in a fixed signal timing …
operation. Most of the existing studies focus on the driving strategies in a fixed signal timing …
A novel smart method for state estimation in a smart grid using smart meter data
FG Yem Souhe, AT Boum, P Ele… - … Intelligence and Soft …, 2022 - Wiley Online Library
Smart grids have brought new possibilities in power grid operations for control and
monitoring. For this purpose, state estimation is considered as one of the effective …
monitoring. For this purpose, state estimation is considered as one of the effective …
Empowering lithium-ion battery manufacturing with big data: Current status, challenges, and future
With the rapid development of new energy vehicles and electrochemical energy storage, the
demand for lithium-ion batteries has witnessed a significant surge. The expansion of the …
demand for lithium-ion batteries has witnessed a significant surge. The expansion of the …