Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network
Implementing carbon neutrality and emission peak policies requires a high‐level electric
vehicle field. Lithium‐ion batteries have been considered an essential component of electric …
vehicle field. Lithium‐ion batteries have been considered an essential component of electric …
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 …
State estimation for advanced battery management: Key challenges and future trends
Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable
energy storage. These indispensable engineering applications are all safety-critical and …
energy storage. These indispensable engineering applications are all safety-critical and …
[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective
Economic development and the comfort-loving nature of human beings in recent years have
resulted in increased energy demand. Since energy resources are scarce and should be …
resulted in increased energy demand. Since energy resources are scarce and should be …
State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
Accurate health estimation and lifetime prediction of lithium-ion batteries are crucial for
durable electric vehicles. Early detection of inadequate performance facilitates timely …
durable electric vehicles. Early detection of inadequate performance facilitates timely …
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 …
Critical review on the battery state of charge estimation methods for electric vehicles
Battery technology is the bottleneck of the electric vehicles (EVs). It is important, both in
theory and practical application, to do research on the modeling and state estimation of …
theory and practical application, to do research on the modeling and state estimation of …
State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach
Abstract Accurate State of Charge (SOC) estimation is crucial to ensure the safe and reliable
operation of Li-ion batteries, which are increasingly being used in Electric Vehicles (EV) …
operation of Li-ion batteries, which are increasingly being used in Electric Vehicles (EV) …