A state-of-the art review on advancing battery thermal management systems for fast-charging
Electric vehicles (EVs) can significantly reduce pollution and dependence on fossil fuels by
taking the place of conventional gasoline-powered vehicles. Owing to the higher sensitivity …
taking the place of conventional gasoline-powered vehicles. Owing to the higher sensitivity …
[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 …
The effect of pH on stability and thermal performance of graphene oxide and copper oxide hybrid nanofluids for heat transfer applications: application of novel …
This paper investigates the effects of pH on stability and thermal properties of copper oxide
(CuO), graphene oxide (GO), and their hybrid nanofluid (HNF) at different mixing ratios …
(CuO), graphene oxide (GO), and their hybrid nanofluid (HNF) at different mixing ratios …
Renewable energy approach towards powering the CI engine with ternary blends of algal biodiesel-diesel-diethyl ether: Bayesian optimized Gaussian process …
The present study investigates the performance and emissions of a small diesel engine
powered with ternary blends of algal biodiesel, diesel, and diethyl ether. The findings …
powered with ternary blends of algal biodiesel, diesel, and diethyl ether. The findings …
Aging mechanisms, prognostics and management for lithium-ion batteries: Recent advances
In the rapidly evolving landscape of energy storage, lithium-ion batteries stand at the
forefront, powering a vast array of devices from mobile phones to electric vehicles and …
forefront, powering a vast array of devices from mobile phones to electric vehicles and …
Machine learning-assisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations
The optimization of the electrodes manufacturing process constitutes a critical step to ensure
high-quality Lithium-Ion Battery (LIB) cells, in particular for automotive applications. Because …
high-quality Lithium-Ion Battery (LIB) cells, in particular for automotive applications. Because …
A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles
Flexibility has become increasingly important considering the intermittency of variable
renewable energy in low-carbon energy systems. Electrified transportation exhibits great …
renewable energy in low-carbon energy systems. Electrified transportation exhibits great …
Leveraging machine learning in porous media
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …
has had a significant impact on engineering and the fundamental sciences, resulting in …
AI enabled fast charging of lithium-ion batteries of electric vehicles during their life cycle: review, challenges and perspectives
Gradually replacing conventional fuel vehicles with electric vehicles (EVs) is a crucial step
towards achieving energy saving and emission reduction in the transportation sector. The …
towards achieving energy saving and emission reduction in the transportation sector. The …
A module-level charging optimization method of lithium-ion battery considering temperature gradient effect of liquid cooling and charging time
The contradiction between fast charging and battery lifetime has become one of the main
obstacles for the development of electric vehicles. The large currents of fast charging …
obstacles for the development of electric vehicles. The large currents of fast charging …