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
Z Ren, C Du - Energy Reports, 2023 - Elsevier
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
M Duquesnoy, C Liu, DZ Dominguez, V Kumar… - Energy Storage …, 2023 - Elsevier
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 …
A module-level charging optimization method of lithium-ion battery considering temperature gradient effect of liquid cooling and charging time
Z Fan, Y Fu, H Liang, R Gao, S Liu - Energy, 2023 - Elsevier
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 …
Phase-Field DeepONet: Physics-informed deep operator neural network for fast simulations of pattern formation governed by gradient flows of free-energy functionals
Recent advances in scientific machine learning have shed light on the modeling of pattern-
forming systems. However, simulations of real patterns still incur significant computational …
forming systems. However, simulations of real patterns still incur significant computational …
A short-term wind energy hybrid optimal prediction system with denoising and novel error correction technique
Y Zhang, J Zhang, L Yu, Z Pan, C Feng, Y Sun, F Wang - Energy, 2022 - Elsevier
As an important part of system operation and wind power station planning, wind energy
forecasting is significantly affected by the strong volatility, intermittency and variability of the …
forecasting is significantly affected by the strong volatility, intermittency and variability of the …