Digital twin technology challenges and applications: A comprehensive review

DM Botín-Sanabria, AS Mihaita, RE Peimbert-García… - Remote Sensing, 2022 - mdpi.com
A digital twin is a virtual representation of a physical object or process capable of collecting
information from the real environment to represent, validate and simulate the physical twin's …

[HTML][HTML] Overview of batteries and battery management for electric vehicles

W Liu, T Placke, KT Chau - Energy Reports, 2022 - Elsevier
Popularization of electric vehicles (EVs) is an effective solution to promote carbon neutrality,
thus combating the climate crisis. Advances in EV batteries and battery management …

Lithium ion battery degradation: what you need to know

JS Edge, S O'Kane, R Prosser, ND Kirkaldy… - Physical Chemistry …, 2021 - pubs.rsc.org
The expansion of lithium-ion batteries from consumer electronics to larger-scale transport
and energy storage applications has made understanding the many mechanisms …

Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives

J Tian, C Chen, W Shen, F Sun, R **ong - Energy Storage Materials, 2023 - Elsevier
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …

Towards the future of smart electric vehicles: Digital twin technology

G Bhatti, H Mohan, RR Singh - Renewable and Sustainable Energy …, 2021 - Elsevier
Worldwide, transportation accounts for 18% of global carbon dioxide emissions (as of 2019).
In order to battle the impending threat of climate change, consumers and industry must …

Machine learning: an advanced platform for materials development and state prediction in lithium‐ion batteries

C Lv, X Zhou, L Zhong, C Yan, M Srinivasan… - Advanced …, 2022 - Wiley Online Library
Lithium‐ion batteries (LIBs) are vital energy‐storage devices in modern society. However,
the performance and cost are still not satisfactory in terms of energy density, power density …

The challenge and opportunity of battery lifetime prediction from field data

V Sulzer, P Mohtat, A Aitio, S Lee, YT Yeh… - Joule, 2021 - cell.com
Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …

Prospects for managing end‐of‐life lithium‐ion batteries: Present and future

XT Wang, ZY Gu, EH Ang, XX Zhao… - Interdisciplinary …, 2022 - Wiley Online Library
The accelerating electrification has sparked an explosion in lithium‐ion batteries (LIBs)
consumption. As the lifespan declines, the substantial LIBs will flow into the recycling market …

Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications

Q Yu, C Wang, J Li, R **ong, M Pecht - ETransportation, 2023 - Elsevier
Lithium-ion batteries are the ideal energy storage device for numerous portable and energy
storage applications. Efficient fault diagnosis methods become urgent to address safety …

Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends

H Dai, B Jiang, X Hu, X Lin, X Wei, M Pecht - Renewable and Sustainable …, 2021 - Elsevier
Lithium-ion batteries are promising energy storage devices for electric vehicles and
renewable energy systems. However, due to complex electrochemical processes, potential …