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| Model Litar Ekuivalen Bateri× | Penjejakan Titik Kuasa Maksimum× | |
|---|---|---|
| Bidang | Termodinamik | Termodinamik |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2004 | 2007 |
| Pengasas≠ | Gregory Plett | Trishan Esram |
| Jenis≠ | Battery simulation model | Control algorithm |
| Sumber perintis≠ | 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 ↗ | Villalva, M. G., Gazoli, J. R., & Ruppert Filho, E. (2009). Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Transactions on Power Electronics, 24(5), 1198-1208. DOI ↗ |
| Alias≠ | ECM, circuit model, battery model | MPPT, impedance matching |
| Berkaitan | 3 | 3 |
| Ringkasan≠ | 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. | Maximum Power Point Tracking (MPPT) is a control algorithm for photovoltaic and wind energy systems that continuously adjusts the electrical load to extract maximum power regardless of changing irradiance and temperature. Without MPPT, a solar panel or wind turbine operates below its power potential due to impedance mismatch with the load. MPPT boosts the annual energy yield by 15-25% depending on system and climate. |
| ScholarGateSet data ↗ |
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