간결한 예측 모형에 기반한 납축전지의 정전류-정전압 충전시간 특성화
CC-CV Charging Time Characteristics of Lead-Acid Batteries Based on Compact Estimation Model
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Modern embedded systems are typically operated by the rechargeable batteries in our daily life. Since charge of batteries is considered as an time consuming task, there have been extensive efforts to manage the charge time from the perspective of materials, circuits, and systems. Estimation of battery charge time is one of the essential information to design the charge circuitry. A compact macro model for the constant-current and constant-voltage charge protocol was recently introduced, which gives us a quick estimation of charge time with similar shape to the famous Peukert’s law for discharge time estimation. The CC-CV charging protocol is widely used for Lithium-based batteries and Lead-acid batteries. In this paper, we characterize the lead-acid battery by measurement to extract the model coefficients, which was not covered by the previous studies. By our proposed model, the key coefficient Kcc results in 1.18-1.31, which is little bit higher than that of Lithium batteries. The accuracy of our model is within the range of ±10% error, which is compatible with the other studies such as Peukert's law.
Abstract
Modern embedded systems are typically operated by the rechargeable batteries in our daily life. Since charge of batteries is considered as an time consuming task, there have been extensive efforts to manage the charge time from the perspective of materials, circuits, and systems. Estimation of battery charge time is one of the essential information to design the charge circuitry. A compact macro model for the constant-current and constant-voltage charge protocol was recently introduced, which gives us a quick estimation of charge time with similar shape to the famous Peukert’s law for discharge time estimation. The CC-CV charging protocol is widely used for Lithium-based batteries and Lead-acid batteries. In this paper, we characterize the lead-acid battery by measurement to extract the model coefficients, which was not covered by the previous studies. By our proposed model, the key coefficient Kcc results in 1.18-1.31, which is little bit higher than that of Lithium batteries. The accuracy of our model is within the range of ±10% error, which is compatible with the other studies such as Peukert's law.
참고문헌 (8)
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- IDX, "Charging Methods for Professional Batteries", ~ (2010)
- DURACELL, "Ni-MH Rechargeable Batteries", ~ (2007)
- E.J. Lee, "The Qualitative Analysis of Lithium-Ion Battery Pulse Charging Algorithms for EV", PHEV, 2010, 347~348
- N. Omar, "Peukert Revisited—Critical Appraisal and Need for Modification for Lithium-Ion Batteries", Energies, pp.5625~5641 (2013)