A Battery Capacity Estimation Framework Combining Hybrid Deep Neural Network and Regional Capacity Calculation Based on Real-World Operating Data

Efficient battery capacity estimation is of utmost importance for safe and reliable operations of electric vehicles (EVs). This article proposes a battery capacity estimation framework based on real-world EV operating data collected from forty electric buses of the same model operating in two cities...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) 2023-08, Vol.70 (8), p.8499-8508
Hauptverfasser:	Wang, Qiushi, Wang, Zhenpo, Zhang, Lei, Liu, Peng, Zhou, Litao
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical models Artificial neural networks Batteries Capacity estimation deep neural network Degradation Electric vehicles Estimation incremental capacity analysis (ICA) lithium-ion batteries Neural networks real-world data State of charge state-of-health (SOH) estimation Voltage
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