Comparative Study Between Internal Ohmic Resistance and Capacity for Battery State of Health Estimation
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Comparative Study Between Internal Ohmic Resistance and Capacity for Battery State of Health Estimation |
| 2. | Creator | Author's name, affiliation, country | M. Nisvo Ramadan; Universitas Gadjah Mada; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Bhisma Adji Pramana; Universitas Gadjah Mada; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Sigit Agung Widayat; Universitas Gadjah Mada; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Lora Khaula Amifia; Universitas Gadjah Mada; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Adha Cahyadi; Universitas Gadjah Mada; Indonesia |
| 2. | Creator | Author's name, affiliation, country | Oyas Wahyunggoro; Universitas Gadjah Mada; Indonesia |
| 3. | Subject | Discipline(s) | Engineering; Energy; Electrical; Transportation; Vehicular |
| 3. | Subject | Keyword(s) | battery management system; state of health; lithium polymer; recursive least square; coulomb counting |
| 4. | Description | Abstract | In order to avoid battery failure, a battery management system (BMS) is necessary. Battery state of charge (SOC) and state of health (SOH) are part of information provided by a BMS. This research analyzes methods to estimate SOH based lithium polymer battery on change of its internal resistance and its capacity. Recursive least square (RLS) algorithm was used to estimate internal ohmic resistance while coloumb counting was used to predict the change in the battery capacity. For the estimation algorithm, the battery terminal voltage and current are set as the input variables. Some tests including static capacity test, pulse test, pulse variation test and before charge-discharge test have been conducted to obtain the required data. After comparing the two methods, the obtained results show that SOH estimation based on coloumb counting provides better accuracy than SOH estimation based on internal ohmic resistance. However, the SOH estimation based on internal ohmic resistance is faster and more reliable for real application |
| 5. | Publisher | Organizing agency, location | National Research and Innovation Agency |
| 6. | Contributor | Sponsor(s) | Faculty of Engineering Universitas Gadjah Mada |
| 7. | Date | (YYYY-MM-DD) | 2015-12-30 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | https://mev.brin.go.id/mev/article/view/262 |
| 10. | Identifier | Digital Object Identifier (DOI) | https://doi.org/10.14203/j.mev.2015.v6.113-122 |
| 11. | Source | Title; vol., no. (year) | Journal of Mechatronics, Electrical Power, and Vehicular Technology; Vol 6, No 2 (2015) |
| 12. | Language | English=en | en |
| 13. | Relation | Supp. Files | |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
Copyright (c) 2015 Journal of Mechatronics, Electrical Power, and Vehicular Technology This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. |