Finite Element Analysis of an Active Air-Cooling System on a 30V LiFePO4 Battery for a Home Power Generation System

By seeing public awareness of the importance of using renewable energy for the sustainability of their children and grandchildren in the future, it has increased public attraction to sustainable and reliable home power plants. However, there are constraints in the application of sustainable home power generation systems, the integration of lithium iron phosphate (LiFePO4) batteries has become famous for their high energy density and long service life. However, efficient thermal management is essential to maintain performance and extend the life of these batteries. The study focused on optimizing the cooling system layout for 30V LiFePO4 batteries used in home power generation systems. Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) software are used to design and evaluate cooling systems. The cooling system in power generation plays a crucial role in maintaining the efficiency and safe operation of power plants. Power generation processes, whether they involve fossil fuels, nuclear energy, or renewable sources, typically generate a significant amount of heat that needs to be managed effectively

Authors

Institutions

Publication Details

Journal
JURNAL TEKNIK MESIN INDUSTRI ELEKTRO DAN INFORMATIKA
Published
2024-09-18
DOI
https://doi.org/10.55606/jtmei.v3i4.4298
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finite Element Analysis of an Active Air-Cooling System on a 30V LiFePO4 Battery for a Home Power Generation System

Lingga Vidya Mandala Putra Nasir, Mohd. Arif Fahmi Bin Rosli
JURNAL TEKNIK MESIN INDUSTRI ELEKTRO DAN INFORMATIKA
Advanced Battery Technologies Research
article

Finite Element Analysis of an Active Air-Cooling System on a 30V LiFePO4 Battery for a Home Power Generation System

Lingga Vidya Mandala Putra Nasir, Mohd. Arif Fahmi Bin Rosli
article en

Abstract

By seeing public awareness of the importance of using renewable energy for the sustainability of their children and grandchildren in the future, it has increased public attraction to sustainable and reliable home power plants. However, there are constraints in the application of sustainable home power generation systems, the integration of lithium iron phosphate (LiFePO4) batteries has become famous for their high energy density and long service life. However, efficient thermal management is essential to maintain performance and extend the life of these batteries. The study focused on optimizing the cooling system layout for 30V LiFePO4 batteries used in home power generation systems. Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) software are used to design and evaluate cooling systems. The cooling system in power generation plays a crucial role in maintaining the efficiency and safe operation of power plants. Power generation processes, whether they involve fossil fuels, nuclear energy, or renewable sources, typically generate a significant amount of heat that needs to be managed effectively

JURNAL TEKNIK MESIN INDUSTRI ELEKTRO DAN INFORMATIKAVol. 3(4)
Management and Science University (MY)
Openalex Percentile: Top 83%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Finite Element Analysis of an Active Air-Cooling System on a 30V LiFePO4 Battery for a Home Power Generation System — Lingga Vidya Mandala Putra Nasir, Mohd. Arif Fahmi Bin Rosli · JURNAL TEKNIK MESIN INDUSTRI ELEKTRO DAN INFORMATIKA (2024) | TGRS Research Map | TGRS