A lead-acid battery's remaining useful life prediction by using electrochemical model in the Particle Filtering framework

Accurate prediction of battery's remaining useful life (RUL) is significant for the reliability and the cost of systems. This paper presents a new Particle Filter (PF) framework for lead-acid battery's RUL prediction by incorporating the battery's electrochemical model. An electrochem...

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Veröffentlicht in:	Energy (Oxford) 2017-02, Vol.120, p.975-984
Hauptverfasser:	Lyu, Chao, Lai, Qingzhi, Ge, Tengfei, Yu, Honghai, Wang, Lixin, Ma, Na
Format:	Artikel
Sprache:	eng
Schlagworte:	Aging Batteries Computer simulation Degradation Effectiveness Electrochemical modeling Electrochemistry Filters Filtration Lead Lead acid batteries Life prediction Mathematical models Measurement Parameter identification Particle Filter framework Remaining useful life prediction Simulation State variable
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