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[HTML][HTML] Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities
Transportation electrification is a promising solution to meet the ever-rising energy demand
and realize sustainable development. Lithium-ion batteries, being the most predominant …
and realize sustainable development. Lithium-ion batteries, being the most predominant …
Battery technologies and functionality of battery management system for EVs: Current status, key challenges, and future prospectives
Research and development towards electric vehicles (EVs) are getting exclusive attention
because of their eco-friendly nature, suppression of petroleum products, greener transport …
because of their eco-friendly nature, suppression of petroleum products, greener transport …
[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 …
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
Remaining useful life (RUL) prediction, known as 'prognostics', has long been recognized as
one of the key technologies in prognostics and health management (PHM) to maintain the …
one of the key technologies in prognostics and health management (PHM) to maintain the …
[HTML][HTML] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries
Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …
SOC estimation for lithium-ion battery using the LSTM-RNN with extended input and constrained output
The state of charge (SOC) estimation of lithium-ion battery (LIB) based on recurrent neural
network (RNN) has been a popular research due to its suitability for time series data …
network (RNN) has been a popular research due to its suitability for time series data …
Physics-based battery SOC estimation methods: Recent advances and future perspectives
The reliable prediction of state of charge (SOC) is one of the vital functions of advanced
battery management system (BMS), which has great significance towards safe operation of …
battery management system (BMS), which has great significance towards safe operation of …
Artificial intelligence applied to battery research: hype or reality?
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …
batteries is increasing. The battery management system (BMS) plays a crucial role in the …