Cryo− electron microscopy, powerful assistant for advancing battery
X Bai, Q Huang, L Wang, R Yang, Z Su… - Journal of Alloys and …, 2024 - Elsevier
As one of the most efficient energy storage devices to date, lithium–ion batteries have been
commercialized for over 30 years. Traditional lithium–ion batteries are gradually …
commercialized for over 30 years. Traditional lithium–ion batteries are gradually …
[HTML][HTML] A Review of Integrated Battery Thermal Management Systems for Lithium-Ion Batteries of Electric Vehicles
Lithium-ion batteries have emerged as a promising choice for electric vehicle applications.
However, the thermal runaway and related catastrophic issues perplex the research …
However, the thermal runaway and related catastrophic issues perplex the research …
The Modeling and SOC Estimation of a LiFePO4 Battery Considering the Relaxation and Overshoot of Polarization Voltage
G Zhu, O Wu, Q Wang, J Kang, JV Wang - Batteries, 2023 - mdpi.com
A triple polarization (TP) model is proposed based on the second-order RC hysteresis
equivalent circuit model, in order to more precisely reflect the dynamic and static …
equivalent circuit model, in order to more precisely reflect the dynamic and static …
A systematic review of nanotechnology for electric vehicles battery
Nanotechnology has increased electric vehicle (EV) battery production, efficiency and use.
Nanotechnology is explored in this electric car battery illustration. Nanoscale materials and …
Nanotechnology is explored in this electric car battery illustration. Nanoscale materials and …
Impacto de la integración de estaciones de recarga rápida en el desempeño de los esquemas de protección basados en sobrecorriente en sistemas de distribución
MF Caraballo Gómez - 2023 - manglar.uninorte.edu.co
La proliferación de los Buses Eléctricos (BEs) en las redes de transporte urbano, y la
adopción de los Sistemas de Recarga Rápida por Oportunidad (SRROs) para respaldar su …
adopción de los Sistemas de Recarga Rápida por Oportunidad (SRROs) para respaldar su …
Machine Learning for Autonomous Vehicle Energy Management and Optimization
S Glazkova - Journal of Bioinformatics and Artificial Intelligence, 2021 - biotechjournal.org
Reinforcement learning is a machine learning (ML) method under debate due to handling
the optimal energy management strategy in the connected hybrid electric vehicles (CHEVs) …
the optimal energy management strategy in the connected hybrid electric vehicles (CHEVs) …