A review of surrogate-assisted evolutionary algorithms for expensive optimization problems

C He, Y Zhang, D Gong, X Ji - Expert Systems with Applications, 2023 - Elsevier
Many problems in real life can be seen as Expensive Optimization Problems (EOPs).
Compared with traditional optimization problems, the evaluation cost of candidate solutions …

Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues …

MSH Lipu, S Ansari, MS Miah, ST Meraj, K Hasan… - Journal of Energy …, 2022 - Elsevier
State of Charge (SOC), state of health (SOH), and remaining useful life (RUL) are the crucial
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …

Recent progress in the thermal management of lithium-ion batteries

K Osmani, M Alkhedher, M Ramadan, DS Choi… - Journal of Cleaner …, 2023 - Elsevier
Lithium-ion batteries are a promising solution for energy storage in various applications,
such as electric vehicles and building facilities. However, they are immensely sensitive to …

A systematic review and comparison of liquid-based cooling system for lithium-ion batteries

J Xu, Z Guo, Z Xu, X Zhou, X Mei - ETransportation, 2023 - Elsevier
The battery thermal management system (BTMS) is arguably the main component providing
essential protection for the security and service performance of lithium-ion batteries (LIBs) …

Advancements in battery thermal management system for fast charging/discharging applications

SA Khan, I Hussain, AK Thakur, S Yu, KT Lau… - Energy Storage …, 2023 - Elsevier
Battery energy storage systems (BESS) are essential for integrating renewable energy
sources and enhancing grid stability and reliability. However, fast charging/discharging of …

[HTML][HTML] Experimental study of battery passive thermal management system using copper foam-based phase change materials

Z Sun, Y Guo, C Zhang, J Whitehouse, Q Zhou… - International Journal of …, 2023 - Elsevier
Lithium-ion batteries (LiBs) have been widely applied in electric vehicles (EVs) and energy
storage devices. The battery thermal management system (BTMS) critically impacts the …

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 …

Machine learning assisted advanced battery thermal management system: A state-of-the-art review

A Li, J Weng, ACY Yuen, W Wang, H Liu… - Journal of Energy …, 2023 - Elsevier
With an increasingly wider application of the lithium-ion battery (LIB), specifically the drastic
increase of electric vehicles in cosmopolitan cities, improving the thermal and fire resilience …

Modeling and optimization of micro heat pipe cooling battery thermal management system via deep learning and multi-objective genetic algorithms

Z Guo, Y Wang, S Zhao, T Zhao, M Ni - … Journal of Heat and Mass Transfer, 2023 - Elsevier
Battery thermal management and electrochemical performance are critical for efficient and
safe operation of battery pack. In this research, a multi-physics model considering the battery …

Design optimization methodologies applied to battery thermal management systems: A review

T Ebbs-Picken, CM Da Silva, CH Amon - Journal of Energy Storage, 2023 - Elsevier
Heat generation during lithium-ion battery charge and discharge requires the
implementation of battery thermal management systems (BTMSs) for enhanced battery …