Research progress and application of deep learning in remaining useful life, state of health and battery thermal management of lithium batteries
W He, Z Li, T Liu, Z Liu, X Guo, J Du, X Li, P Sun… - Journal of Energy …, 2023 - Elsevier
Lithium batteries are considered to be one of the most promising green energy sources in
the future. However, the problems of prognostic and health management are the main …
the future. However, the problems of prognostic and health management are the main …
A fast thermal simulation and dynamic feedback control framework for lithium-ion batteries
The temperature has a significant effect on the lifespan and the safety of the batteries which
are one of the core components of electric vehicles. A well-designed battery thermal …
are one of the core components of electric vehicles. A well-designed battery thermal …
[HTML][HTML] Advancements in battery thermal management for electric vehicles: Types, technologies, and control strategies including deep learning methods
As electric vehicles (EVs) become more commonplace, the development and deployment of
advanced battery thermal management (BTM) technologies are vital for increasing the …
advanced battery thermal management (BTM) technologies are vital for increasing the …
A method of develo** quantile convolutional neural networks for electric vehicle battery temperature prediction trained on cross-domain data
The energy consumption caused by battery thermal management of electric vehicles can be
reduced using predictive control. A predictive controller needs a prediction model of the …
reduced using predictive control. A predictive controller needs a prediction model of the …
Electric vehicle battery thermal and cabin climate management based on model predictive control
Energy management plays a critical role in electric vehicle (EV) operations. To improve EV
energy efficiency, this paper proposes an effective model predictive control (MPC)-based …
energy efficiency, this paper proposes an effective model predictive control (MPC)-based …
[HTML][HTML] Predictive battery thermal management using quantile convolutional neural networks
An improvement in energy efficiency of Battery Thermal Management Systems (BTMS) can
increase range and reduce well-to-wheel emissions of Battery Electric Vehicles (BEV). In …
increase range and reduce well-to-wheel emissions of Battery Electric Vehicles (BEV). In …
A model predictive control-based energy management strategy considering electric vehicle battery thermal and cabin climate control
The energy management strategy plays a critical role in scheduling the operations and
enhancing the overall efficiency for electric vehicles. This paper proposes an effective model …
enhancing the overall efficiency for electric vehicles. This paper proposes an effective model …
Integrating dynamic thermal strategies for solar-powered battery-ultracapacitor with prognostic EMS for HEVs
The challenge of thermal comfort and energy efficiency in hybrid electric vehicles (HEVs) in
changing weather and dynamic driving scenarios is the primary objective of this study …
changing weather and dynamic driving scenarios is the primary objective of this study …
Real-time applicable power management of multi-source fuel cell vehicles using situation-based model predictive control
Power management in all-electric powertrains has a significant potential to optimally handle
the limited energy and power density of electric power sources. Situation-based power …
the limited energy and power density of electric power sources. Situation-based power …
[PDF][PDF] Transportation Engineering
An improvement in energy efficiency of Battery Thermal Management Systems (BTMS) can
increase range and reduce well-to-wheel emissions of Battery Electric Vehicles (BEV). In …
increase range and reduce well-to-wheel emissions of Battery Electric Vehicles (BEV). In …