Case study of intelligent thermal performance optimization for hybrid battery thermal management systems through CFD-driven surrogate modeling and multi-criteria decision analysis

Sustainable supplier selection in healthcare industries using a new MCDM method: measurement of alternatives and ranking according to COmpromise solution (MARCOS)

10.1016/j.cie.2019.106231 · doi-reference

AI-based development and optimization of sealing materials for secondary grouting in methane recovery

10.1038/s41598-026-46891-2 · doi-reference

A novel intelligent framework for harnessing underground thermal energy through the optimization of grout and backfill thermophysical properties

10.1038/s41598-026-46104-w · doi-reference

Insights into water-lubricated transport of heavy and extra-heavy oils: application of CFD, RSM, and metaheuristic optimized machine learning models

10.1016/j.fuel.2024.132431 · doi-reference

Genetic algorithms: theory, genetic operators, solutions, and applications

10.1007/s12065-023-00822-6 · doi-reference

Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids

10.1016/j.jtice.2024.105673 · doi-reference

Correlation coefficients: appropriate use and interpretation

10.1213/ane.0000000000002864 · doi-reference

Thermal performance and structural optimization of a hybrid thermal management system based on MHPA/PCM/liquid cooling for lithium-ion battery

10.1016/j.applthermaleng.2023.121341 · doi-reference

Temperature prediction of lithium-ion battery based on artificial neural network model

10.1016/j.applthermaleng.2023.120482 · doi-reference

Deep reinforcement learning based fast charging and thermal management optimization of an electric vehicle battery pack

10.1016/j.est.2024.112466 · doi-reference

Design of a new optimized U-shaped lightweight liquid-cooled battery thermal management system for electric vehicles: a machine learning approach

10.1016/j.icheatmasstransfer.2022.106209 · doi-reference

Python‐based scikit‐learn machine learning models for thermal and electrical performance prediction of high‐capacity lithium‐ion battery

10.1002/er.7202 · doi-reference

A multi-objective optimization approach for battery thermal management system based on the combination of BP neural network prediction and NSGA-II algorithm

10.1016/j.est.2024.113212 · doi-reference

Utilizing multilayer perceptron for machine learning diagnosis in phase change material‐based thermal management systems

10.1002/htj.23163 · doi-reference

Machine learning-based predictive control of thermal management system in battery electric vehicles

10.1016/j.tsep.2025.104104 · doi-reference

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

10.1016/j.ijheatmasstransfer.2023.124024 · doi-reference

Advanced deep learning techniques for battery thermal management in new energy vehicles

10.3390/en17164132 · doi-reference

Performance analysis on liquid-cooled battery thermal management for electric vehicles based on machine learning

10.1016/j.jpowsour.2021.229727 · doi-reference

Thermal management systems for lithium-ion batteries for electric vehicles: a review

10.3390/wevj16070346 · doi-reference

Advanced thermal management with heat pipes in lithium-ion battery systems: innovations and AI-driven optimization

10.1016/j.nxener.2024.100223 · doi-reference

Data-driven prediction of Li-Ion battery thermal behavior: advances and applications in thermal management

10.3390/pr13092769 · doi-reference

Deep learning in the state of charge estimation for li-ion batteries of electric vehicles: a review

10.3390/machines10100912 · doi-reference

Lithium-ion battery thermal management via advanced cooling parameters: State-of-the-art review on application of machine learning with exergy, economic and environmental analysis

10.1016/j.jtice.2023.104854 · doi-reference

Enhanced thermal management system for Li-ion batteries using phase change material and liquid cooling under realistic driving cycles

10.1016/j.energy.2025.134759 · doi-reference

Numerical investigation of thermal management of lithium ion battery pack with nano-enhanced phase change material and heat pipe

10.1016/j.est.2023.109972 · doi-reference

Heat pipe/phase change material thermal management of Li-ion power battery packs: a numerical study on coupled heat transfer performance

10.1016/j.energy.2021.122754 · doi-reference

Heat pipe/phase change material coupled thermal management in Li-ion battery packs: optimization and energy-saving assessment

10.1016/j.applthermaleng.2022.118211 · doi-reference

Numerical study of PCM thermal behavior of a novel PCM-heat pipe combined system for Li-ion battery thermal management

10.1016/j.applthermaleng.2022.118293 · doi-reference

Comparisons of different cooling systems for thermal management of lithium-ion battery packs: phase change material, nano-enhanced channel cooling and hybrid method

10.1016/j.est.2024.111865 · doi-reference

Hybrid thermal management of Li-ion battery pack: an experimental study with eutectic PCM-embedded heat transfer fluid

10.1016/j.est.2023.109929 · doi-reference

An improved hybrid thermal management system for prismatic Li-ion batteries integrated with mini-channel and phase change materials

10.1016/j.apenergy.2023.120643 · doi-reference

Improved performance of Li-ion battery thermal management system by ternary hybrid nanofluid

10.1016/j.est.2024.115234 · doi-reference

Experimental comparison of the Li-ion battery thermal management systems using a new hybrid model of flat heat pipe coupled with phase change materials

10.1016/j.est.2024.110963 · doi-reference

Thermal management of Li-ion batteries using phase change materials: recent advances and future challenges

10.1016/j.est.2025.115440 · doi-reference

A review of thermal management and heat transfer of lithium-ion batteries

10.3390/en17163873 · doi-reference

A review on thermal management of Li-ion battery: from small-scale battery module to large-scale electrochemical energy storage power station

10.1007/s11630-024-2076-z · doi-reference

Review of thermal management techniques for prismatic Li-Ion batteries

10.3390/en18030492 · doi-reference

A review of PCM based hybrid battery thermal management systems for the prismatic lithium-ion batteries of the electric vehicle

10.1016/j.fub.2025.100035 · doi-reference

A review of lithium-ion battery thermal management based on liquid cooling and its evaluation method

10.3390/en18174569 · doi-reference

Maximizing efficiency: exploring the crucial role of ducts in air-cooled lithium-ion battery thermal management

10.1007/s10973-024-13883-1 · doi-reference