Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Baterijas ekvivalentā elektriskā shēmas modelis× | Veselības stāvoklis× | |
|---|---|---|
| Nozare | Termodinamika | Termodinamika |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2004 | 2017 |
| Autors≠ | Gregory Plett | Craig Birkl |
| Tips≠ | Battery simulation model | Degradation assessment |
| Pirmavots≠ | Seaman, C. V., Strutt, A. S., & Murray, A. (2014). Portable and plug-in hybrid electric vehicle battery electric range impacts on U.S. gasoline consumption. Journal of Power Sources, 243, 773-783. link ↗ | Birkl, C. R., Roberts, M. R., McTurk, E., Bruce, P. G., & Howey, D. A. (2017). Degradation diagnostics for lithium ion cells. Journal of Power Sources, 341, 373-386. DOI ↗ |
| Citi nosaukumi≠ | ECM, circuit model, battery model | SOH, health estimation |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | The Battery Equivalent Circuit Model (ECM) represents battery electrochemical behavior using an electrical circuit analogy. It includes an ideal voltage source (open-circuit voltage dependent on state of charge), internal resistance(s) for ohmic losses, and capacitive/resistive elements for transient response. ECM enables rapid simulation of battery behavior in electric vehicles, renewable energy systems, and portable devices without solving complex electrochemical equations. | State of Health (SOH) quantifies battery degradation by measuring how much capacity and power capability have been lost due to aging. SOH is expressed as a percentage (100% = new, 80% = end of life for many applications). Tracking SOH enables predictive maintenance, end-of-life detection, and accurate range/power predictions in aging systems. SOH reflects cumulative effects of cycling, calendar aging, and operating conditions. |
| ScholarGateDatu kopa ↗ |
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