[HTML][HTML] Batteries temperature prediction and thermal management using machine learning: An overview

A Al Miaari, HM Ali - Energy Reports, 2023 - Elsevier
Batteries, particularly lithium-ion batteries, play an important role in powering our modern
world, from portable devices to electric vehicles and renewable energy storage. However …

Parametric investigation of battery thermal management system with phase change material, metal foam, and fins; utilizing CFD and ANN models

HN Khaboshan, F Jaliliantabar, AA Abdullah… - Applied Thermal …, 2024 - Elsevier
The focus on develo** an effective battery thermal management system (BTMS) to
maintain optimal temperatures for lithium-ion batteries (LIBs), especially in electric vehicle …

[HTML][HTML] Artificial intelligence based modelling and hybrid optimization of linseed oil biodiesel with graphene nanoparticles to stringent biomedical safety and …

PM Rao, SH Dhoria, SGK Patro, RK Gopidesi… - Case Studies in Thermal …, 2023 - Elsevier
In this work, experiments were carried out in line with Design of Experiments (DOE)
standards to assess the performance and emission features of 5% graphene nanoparticles …

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 …

Modelling flood susceptibility based on deep learning coupling with ensemble learning models

Y Li, H Hong - Journal of Environmental Management, 2023 - Elsevier
Modelling flood susceptibility is an indirect way to reduce the loss from flood disaster. Now,
flood susceptibility modelling based on data driven model is state-of-the-art method such as …

A review on soft computing and nanofluid applications for battery thermal management

A Can, F Selimefendigil, HF Öztop - Journal of Energy Storage, 2022 - Elsevier
This study is about applications of nanofluids and various soft computing algorithms on
designs of battery thermal management systems and their potential performance …

Experimental investigation of the mechanical properties of carbon/basalt/SiC nanoparticle/polyester hybrid composite materials

K Karthik, D Rajamani, EP Venkatesan, MI Shajahan… - Crystals, 2023 - mdpi.com
In recent years, many researchers have focused on the preparation of carbon and basalt
fiber-reinforced composites. As a result, the composites have gained popularity as an …

A review on challenges concerning thermal management system design for medium duty electric vehicles

G Leoncini, R Mothier, B Michel, M Clausse - Applied Thermal Engineering, 2024 - Elsevier
In the last decade, Battery Electric Vehicles (BEV) have been detected as a way to decrease
greenhouse gases emission related to road transportation. Still, this technology faces …

High-performance self-compacting concrete with recycled coarse aggregate: Soft-computing analysis of compressive strength

A Alyaseen, A Poddar, N Kumar, S Tajjour… - Journal of Building …, 2023 - Elsevier
The growth of cities and industrialization has led to an increase in demand for concrete,
resulting in resource depletion and environmental issues. Sustainable alternatives such as …