Digital twin technology challenges and applications: A comprehensive review
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 …
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
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 …
thus combating the climate crisis. Advances in EV batteries and battery management …
Lithium ion battery degradation: what you need to know
The expansion of lithium-ion batteries from consumer electronics to larger-scale transport
and energy storage applications has made understanding the many mechanisms …
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
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 …
batteries. The deep learning technique, a game changer in many fields, has recently …
Towards the future of smart electric vehicles: Digital twin technology
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 …
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
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 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
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 …
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 …
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
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 …
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
Lithium-ion batteries are promising energy storage devices for electric vehicles and
renewable energy systems. However, due to complex electrochemical processes, potential …
renewable energy systems. However, due to complex electrochemical processes, potential …