Online Parameter Identification and State of Charge Estimation of Battery Based on Multitimescale Adaptive Double Kalman Filter Algorithm

An accurate state of charge (SOC) can provide effective judgment for the BMS, which is conducive for prolonging battery life and protecting the working state of the entire battery pack. In this study, the first-order RC battery model is used as the research object and two parameter identification me...

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Veröffentlicht in:	Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-20, Article 9502605
Hauptverfasser:	Song, Shixin, Peng, Silun, Xiao, Feng, Chen, Yuan, Song, Chuanxue, Duan, Wenxian, Shao, Yulong
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptive algorithms Adaptive filters Algorithms Batteries Deep learning Electric potential Electric vehicles Engineering Engineering, Multidisciplinary Extended Kalman filter Identification methods Mathematical models Mathematics Mathematics, Interdisciplinary Applications Methods Neural networks Noise Parameter estimation Parameter identification Physical Sciences Prediction models Schedules Science & Technology Simulation State of charge Technology Voltage
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