পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| চার্জের অবস্থা× | স্বাস্থ্যের অবস্থা× | |
|---|---|---|
| ক্ষেত্র | তাপগতিবিদ্যা | তাপগতিবিদ্যা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 2004 | 2017 |
| প্রবর্তক≠ | Gregory Plett | Craig Birkl |
| ধরন≠ | Estimation algorithm | Degradation assessment |
| মৌলিক উৎস≠ | Plett, G. L. (2004). Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs. Journal of Power Sources, 134(2), 252-261. DOI ↗ | 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 ↗ |
| অপর নাম | SOC, charge estimation | SOH, health estimation |
| সম্পর্কিত | 3 | 3 |
| সারসংক্ষেপ≠ | State of Charge (SOC) is the amount of energy available in a battery or energy storage system, expressed as a percentage of its maximum capacity. Accurate SOC estimation is critical for safe operation: underestimating SOC can cause unsafe discharges, overestimating can cause overcharging. SOC estimation combines current integration (coulomb counting), voltage-based methods, and Kalman filtering to achieve accuracy despite measurement noise and model uncertainties. | 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. |
| ScholarGateডেটাসেট ↗ |
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