Health Prognostics of Lithium-ion Batteries and Battery-Integrated Structures
| Autor: | Fotis Kopsaftopoulos, Fu-Kuo Chang, Purim Ladpli, Chen Liu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Battery (electricity)
Guided wave testing Computer science State of health Feature extraction 020101 civil engineering 02 engineering and technology 01 natural sciences Piezoelectricity 0201 civil engineering 0103 physical sciences Electronic engineering Prognostics Ultrasonic sensor Particle filter 010301 acoustics |
| Zdroj: | Structural Health Monitoring 2019. |
| Popis: | This work developed and evaluated an acousto-ultrasonic system that measures battery state of charge and, in particular, its state of health using a built-in, low-profile piezoelectric transducer system. A diagnostic method was proposed that relates changes in the guided wave signals to the charge, discharge, and aging processes, via electrochemically-induced changes in mechanical properties. A matching-pursuit-based feature extraction scheme was developed to allow an efficient, in-operando decomposition of signals into a set of predictors correlated with battery states. A particle filter framework was established which provides state estimation and remaining life prognostics to allow ultrasonic features to be used as measurements. It was shown on off-the-shelf Li-ion batteries and battery-integrated structures that the ultrasonic technique significantly improved the prediction performance and contained uncertainties. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|