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Ultra-Highly Efficient Low-Power Bidirectional Cascaded Buck-Boost Converter for Portable PV-Battery-Devices Applications.
- Source :
-
IEEE Transactions on Industry Applications . Jul-Aug2019, Vol. 55 Issue 4, p3989-4000. 12p. - Publication Year :
- 2019
-
Abstract
- This paper first presents an adaptive switching frequency modulation that optimizes the efficiency of the cascaded buck-boost (CBB) converter. Such bidirectional dc–dc CBB topology is typically deployed in PV-battery-device systems. A precise loss-model that accounts for component nonlinearities is developed to determine power-loss distribution. According to the loss model, optimal switching frequencies are selected that correspond to the lowest total loss in both the buck and the boost modes of the operation. Then, a small volume low-profile planar-nanocrystalline inductor is designed to further increase efficiency and power density. Finite element analysis method is used to evaluate the inductor design. A digital control system is designed to periodically adjust the optimal switching frequencies to modulate the pulsewidth modulation duty cycle and to take into account any load and line regulations. The objective of this paper is to achieve ultra-high efficiency (over 99%) for a well-known CBB converter. A 100 W CBB converter prototype was built to verify the proposed algorithm and designed nanocrystalline inductor. A California Energy Commission weighted efficiency of 98.87% with a peak efficiency of 99.31% was achieved for the buck mode and 98.58% with a peak efficiency of 99.25% was achieved for the boost mode, both at nominal voltage. Also, a power density of 3.67 kW/L was reported. [ABSTRACT FROM AUTHOR]
- Subjects :
- *AC DC transformers
*DIGITAL control systems
*FINITE element method
*POWER density
Subjects
Details
- Language :
- English
- ISSN :
- 00939994
- Volume :
- 55
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Industry Applications
- Publication Type :
- Academic Journal
- Accession number :
- 137379608
- Full Text :
- https://doi.org/10.1109/TIA.2019.2911566