Universal Adaptive Stabilization-Based Trend Filtering for Impending Battery Voltage Collapse Detection
| Autor: | Assim Sagahyroon, Sameer Alawnah, Shayok Mukhopadhyay |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Battery (electricity)
0209 industrial biotechnology Control and Optimization Adaptive control Computer science 020208 electrical & electronic engineering Real-time computing Collapse (topology) 02 engineering and technology Voltage collapse Filter (signal processing) Battery terminal 020901 industrial engineering & automation Model parameter Control and Systems Engineering Battery voltage 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | IEEE Control Systems Letters. 5:635-640 |
| ISSN: | 2475-1456 |
| DOI: | 10.1109/lcsys.2020.3004707 |
| Popis: | Battery operated devices are common in everyday life. Deciding when a warning for impending battery voltage collapse should be triggered is not trivial. This letter develops an impending battery terminal voltage collapse detection system using a universal adaptive stabilizer (UAS) and a well-known trend filter. This eliminates requiring knowledge of battery model parameter values, or initial state-of-charge (SOC). The proposed approach overcomes the need for extensive training when compared to using neural-networks based techniques. Also, the developed trend filter when used with a UAS, eliminates the need for selecting windows of data to be processed. This is advantageous compared to earlier work, which uses a different trend filtering mechanism, because selection of window sizes is not straightforward. Further, the approach used in this letter shows that the UAS based technique is implementable on a cell phone. Associated mathematical results, and experimental data from such an implementation are presented. Additionally, the technique is also applied to other larger capacity Li-ion batteries showing its versatility. The developed technique can also be used to detect when the state-of-health (SOH) of a Li-ion battery is about to enter an unsafe region. |
| Databáze: | OpenAIRE |
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