Deep learning-assisted design for battery liquid cooling plate with bionic leaf structure considering non-uniform heat generation
A Zheng, H Gao, X Jia, Y Cai, X Yang, Q Zhu, H Jiang - Applied Energy, 2024 - Elsevier
Liquid cooling is a promising approach for battery thermal management due to its compact
construction and high heat transfer coefficient. However, the conventional liquid cooling …
construction and high heat transfer coefficient. However, the conventional liquid cooling …
Enabling cross-type full-knowledge transferable energy management for hybrid electric vehicles via deep transfer reinforcement learning
Deep reinforcement learning (DRL) now represents an emerging artificial intelligence
technology to develop energy management strategies (EMSs) for hybrid electric vehicles …
technology to develop energy management strategies (EMSs) for hybrid electric vehicles …
Energy Management in Plug-In Hybrid Electric Vehicles: Preheating the Battery Packs in Low-Temperature Driving Scenarios
Plug-in hybrid electric vehicles (PHEVs) with large battery packs have significant
advantages in improving fuel efficiency and lowering harmful emissions. However, battery …
advantages in improving fuel efficiency and lowering harmful emissions. However, battery …
An improved soft actor-critic-based energy management strategy of heavy-duty hybrid electric vehicles with dual-engine system
D Zhang, W Sun, Y Zou, X Zhang, Y Zhang - Energy, 2024 - Elsevier
While deep reinforcement learning (DRL) based energy management strategies (EMSs)
have shown potential for optimizing energy utilization in recent years, challenges such as …
have shown potential for optimizing energy utilization in recent years, challenges such as …
A CNN-SAM-LSTM hybrid neural network for multi-state estimation of lithium-ion batteries under dynamical operating conditions
C Qian, H Guan, B Xu, Q **a, B Sun, Y Ren, Z Wang - Energy, 2024 - Elsevier
Accurately estimating the state of charge (SOC), state of energy (SOE), and state of health
(SOH) online is a critical and urgent concern in the management of lithium-ion batteries for …
(SOH) online is a critical and urgent concern in the management of lithium-ion batteries for …
An energy management strategy for fuel cell hybrid electric vehicle based on HHO-BiLSTM-TCN-self attention speed prediction
M Pan, C Fu, X Cao, W Guan, L Liang, D Li, J Gu… - Energy, 2024 - Elsevier
This research aims to improve the performance and economics of fuel cell hybrid electric
vehicles (FCHEVs), validated and established by introducing an innovative energy …
vehicles (FCHEVs), validated and established by introducing an innovative energy …
A novel deep reinforcement learning-based predictive energy management for fuel cell buses integrating speed and passenger prediction
Energy management strategy (EMS) is crucial for the actual performance of fuel cell hybrid
electric buses (FCHEB) in complex traffic environments. However, conventional EMS usually …
electric buses (FCHEB) in complex traffic environments. However, conventional EMS usually …
Advantages of plug-in hybrid electric vertical take-off and landing aircraft with hydrogen energy storage
A Boretti - International Journal of Hydrogen Energy, 2024 - Elsevier
Electric vertical take-off and landing (eVTOL) aircraft are becoming more and more attractive
due to the improvements in electric road vehicles, and the mounting demand for new urban …
due to the improvements in electric road vehicles, and the mounting demand for new urban …
A unified benchmark for deep reinforcement learning-based energy management: Novel training ideas with the unweighted reward
Deep reinforcement learning stands as a powerful force in the realm of intelligent control for
hybrid power systems, yet some imperfections persist in the positive progression of learning …
hybrid power systems, yet some imperfections persist in the positive progression of learning …
A multi-objective configuration optimization method of passive hybrid energy storage system for pulse loads operating under very low temperatures
Y Song, Y Liu, X Zhou, X Huang, C Zhou, G ** - Journal of Energy Storage, 2024 - Elsevier
The lithium-ion battery energy storage system currently widely used faces a problem of rapid
degradation of electrical performance at very low temperatures (such as− 40° C), making it …
degradation of electrical performance at very low temperatures (such as− 40° C), making it …