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[HTML][HTML] Batteries temperature prediction and thermal management using machine learning: An overview
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 …
world, from portable devices to electric vehicles and renewable energy storage. However …
Exploring lithium-Ion battery degradation: A concise review of critical factors, impacts, data-driven degradation estimation techniques, and sustainable directions for …
Batteries play a crucial role in the domain of energy storage systems and electric vehicles by
enabling energy resilience, promoting renewable integration, and driving the advancement …
enabling energy resilience, promoting renewable integration, and driving the advancement …
Parametric investigation of battery thermal management system with phase change material, metal foam, and fins; utilizing CFD and ANN models
The focus on develo** an effective battery thermal management system (BTMS) to
maintain optimal temperatures for lithium-ion batteries (LIBs), especially in electric vehicle …
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 …
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 …
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
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 …
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 …
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
This study is about applications of nanofluids and various soft computing algorithms on
designs of battery thermal management systems and their potential performance …
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
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 …
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
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 …
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
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 …
resulting in resource depletion and environmental issues. Sustainable alternatives such as …