Electro-modeling of the aluminium-air battery
In the modern day, the application of battery as a form of energy storage system has played the important part especially in electric vehicles (EVs). EV is well known as an alternative to internal combustion engine vehicles to reduce carbon emission. Thus, the application of suitable battery types i...
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| Format: | Final Year Project / Dissertation / Thesis |
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2021
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| Online Access: | http://eprints.utar.edu.my/5318/ http://eprints.utar.edu.my/5318/1/1607007_FYP_Report_%2D_YANN_YEE_KOH.pdf |
| _version_ | 1848886384544186368 |
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| author | Koh, Yann Yee |
| author_facet | Koh, Yann Yee |
| author_sort | Koh, Yann Yee |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | In the modern day, the application of battery as a form of energy storage system has played the important part especially in electric vehicles (EVs). EV is well known as an alternative to internal combustion engine vehicles to reduce carbon emission. Thus, the application of suitable battery types in electric vehicles plays an important role in the long run consideration. The aluminium air battery is considered to be one of the suitable energy storage mediums as it has a high theoretical energy densities value that can provide the EV to have sufficient energy source for long travelling distances. Considering the aluminium-air battery as the alternative energy storage in future, the electro-modeling is applied to study the air battery characteristics. For the application, electro-modeling to determine the aluminium-air battery characteristics is still lacking behind. Thus in this project, electro-modeling such as the RC model can contribute to determining the air battery characteristics without using a smart battery charger. RC battery model generally is a model made of components such as the voltage source, capacitor and resistor to represent the characteristics of a battery. By constructing the equivalent circuit models, the 1 RC and 2 RC models model the discharge characteristics of the battery, the comparison between the simulated and experimental curves is conducted. Through the process of estimation and validation of the parameters, the maximum average error obtained for the 1 RC is 9.54 % while, for the 2 RC is 6.93%. |
| first_indexed | 2025-11-15T19:37:38Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-5318 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:37:38Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-53182023-06-10T09:28:05Z Electro-modeling of the aluminium-air battery Koh, Yann Yee TJ Mechanical engineering and machinery In the modern day, the application of battery as a form of energy storage system has played the important part especially in electric vehicles (EVs). EV is well known as an alternative to internal combustion engine vehicles to reduce carbon emission. Thus, the application of suitable battery types in electric vehicles plays an important role in the long run consideration. The aluminium air battery is considered to be one of the suitable energy storage mediums as it has a high theoretical energy densities value that can provide the EV to have sufficient energy source for long travelling distances. Considering the aluminium-air battery as the alternative energy storage in future, the electro-modeling is applied to study the air battery characteristics. For the application, electro-modeling to determine the aluminium-air battery characteristics is still lacking behind. Thus in this project, electro-modeling such as the RC model can contribute to determining the air battery characteristics without using a smart battery charger. RC battery model generally is a model made of components such as the voltage source, capacitor and resistor to represent the characteristics of a battery. By constructing the equivalent circuit models, the 1 RC and 2 RC models model the discharge characteristics of the battery, the comparison between the simulated and experimental curves is conducted. Through the process of estimation and validation of the parameters, the maximum average error obtained for the 1 RC is 9.54 % while, for the 2 RC is 6.93%. 2021 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/5318/1/1607007_FYP_Report_%2D_YANN_YEE_KOH.pdf Koh, Yann Yee (2021) Electro-modeling of the aluminium-air battery. Final Year Project, UTAR. http://eprints.utar.edu.my/5318/ |
| spellingShingle | TJ Mechanical engineering and machinery Koh, Yann Yee Electro-modeling of the aluminium-air battery |
| title | Electro-modeling of the aluminium-air battery |
| title_full | Electro-modeling of the aluminium-air battery |
| title_fullStr | Electro-modeling of the aluminium-air battery |
| title_full_unstemmed | Electro-modeling of the aluminium-air battery |
| title_short | Electro-modeling of the aluminium-air battery |
| title_sort | electro-modeling of the aluminium-air battery |
| topic | TJ Mechanical engineering and machinery |
| url | http://eprints.utar.edu.my/5318/ http://eprints.utar.edu.my/5318/1/1607007_FYP_Report_%2D_YANN_YEE_KOH.pdf |