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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhu, C.B. Coleman, M. Hurley, W.G. |
| Copyright Year | 2004 |
| Description | Author affiliation: Power Electron. Res. Centre, Nat. Univ. of Ireland, Galway, Ireland (Zhu, C.B.; Coleman, M.; Hurley, W.G.) |
| Abstract | State of charge (SOC) determination is an increasingly important issue in battery technology. In addition to the immediate display of the remaining battery capacity to the user, precise knowledge of SOC exerts additional control over the charging/discharging process which in turn reduces the risk of overvoltage and gassing, which degrade the chemical composition of the electrolyte and plates. This paper describes a new approach to SOC determination for the lead-acid battery by combining Ah-balance with an EMF estimation algorithm, which predicts the battery's EMF value while it is under load. The EMF estimation algorithm is based on an equivalent-circuit representation of the battery, with the parameters determined from a pulse test performed on the battery and a curve-fitting algorithm by means of least-square regression. The whole battery cycle is classified into seven states where the SOC is estimated with the Ah-balance method and the proposed EMF based algorithm. Laboratory tests and results are described in detail in the paper. |
| Sponsorship | IEEE Power Electon. Soc |
| Starting Page | 1908 |
| Ending Page | 1914 |
| File Size | 448612 |
| Page Count | 7 |
| File Format | |
| ISBN | 0780383990 |
| ISSN | 02759306 |
| DOI | 10.1109/PESC.2004.1355409 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-06-20 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Batteries State estimation Testing Chemical technology Displays Voltage control Degradation Chemical processes Prediction algorithms Performance evaluation |
| Content Type | Text |
| Resource Type | Article |
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