Abstract
Flyback switching power supply is widely used in small to medium power scenarios, such as household appliances. The conversion efficiency is one of the key parameters for evaluating the power characteristics. The switch loss is an important factor affecting the conversion efficiency. Based on quasi resonant technology, ZVS (Zero Voltage Switching) or ZCS (Zero Current Switching) is realized in flyback switching power supply, which can effectively reduce the switch loss and improve the conversion efficiency. The sample test shows that the design in the paper can achieve ZVS through quasi resonance in all kinds of scenarios, effectively improve the conversion efficiency to more than 85%, and the no-load stand-by power consumption is less than 30 mW. The output voltage regulation rate is less than 2%. Moreover, multiple protection functions are included in the design. It is demonstrated that the design indexes are better than the similar products, and meet level VI energy efficiency standard, which has a wide application prospects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hou, Q.J., Zhang, Li., Xu, D.: The basic principle of switching power supply and development trend of switching power supply. Manuf. Autom. 32(9), 160–169 (2010)
Song, Q., Zhao, B., Liu, W., et al.: Next generation high-frequency-isolation power conversion technology for smart grid. Proc. CSEE 34(36), 6369–6379 (2014)
Park, J., Moom, Y.J., Jeong, M.G.: Quasi-resonant (QR) controller with adaptive switching frequency reduction scheme for flyback converter. IEEE Trans. Industr. Electron 63(6), 3571–3581 (2016)
Han, O., Kim, J.: Uncertainty analysis on electric power consumption. Comput. Mater. Continua 68(2), 2621–2632 (2021)
Murthy-Bellur, D., Kazimierczuk, M.K.: Uncertainty analysis on electric power consumption. Int. J. Circuit Theory Appl. 39(11), 849–864 (2011)
Taha, I.B., Mansour, D.A.: Novel power transformer fault diagnosis using optimized machine learning methods. Intell. Autom. Soft Comput. 28(3), 739–752 (2021)
Chen, Z., Shu, L., Liu, Y., Ge, L.: Analysis of MOSFET loss model based on current source driver. Electr. Power Autom. Equip. 30(10), 50–53 (2010)
Lei, R., Zheng, W., Chunying, G.: Fault feature extraction techniques for power devices in power electronic converters a review. Proc. CSEE 35(12), 3089–3101 (2015)
Kumar, K.S., Paramasivam, K.: Novel power-aware optimization methodology and efficient task scheduling algorithm. Comput. Syst. Sci. Eng. 41(1), 209–224 (2022)
Liu, J., Li, S., Jiang, Y., Cheng, X.: Power line communication technology based on conduction angle modulation in intelligent lighting. Acta Electonica Sinica 49(7), 1331–1338 (2021)
Borage, M., Tiwari, S., Kotaiah, S.: A passive auxiliary circuit achieves zero-voltage-switching in full-bridge converter over entire conversion range. IEEE Power Electron. Lett. 3(4), 141–143 (2005)
Yazdani, M.R., Rahmani, S.: A new zero-current-transition two-switch flyback converter. In: The 5th Annual International Power Electronics, Drive Systems and Technologies Conference (PEDSTC 2014), pp. 390–395. IEEE (2014)
Alrajhi, H.: A generalized state space average model for parallel DC-to-DC converters. Comput. Syst. Sci. Eng. 41(2), 717–734 (2022)
Stracquadaini, R.D.: Mixed mode control (fixed off time & quasi resonant) for flyback converter. In: IECON 2010–36th Annual Conference on IEEE Industrial Electronics Society, pp. 556–561. IEEE (2010)
Huang, Y., Xu, J., Yin, G., Ma, H.: Quasi-resonant soft-switched two-switch flyback converter. Trans. China Electrotech. Soc. 33(18), 4313–4322 (2018)
Ahmed, E.M., Ahmed, M.A., Ali, Z.M., Khan, I.: Disturbance evaluation in power system based on machine learning. Comput. Mater. Continua 71(1), 231–254 (2022)
Jie, D., Shiwei, Z., Huajie, Y.: A new type of soft switch isolated DC-DC converter with high step-up. Adv. Technol. Electr. Eng. Energy 39(06), 18–25 (2020)
Qiu, J.P., He, L.N., Wang, Y.L.: A multimode digital controller IC for flyback converter with high accuracy primary-side feedback. J. Zhejiang Univ. Sci. C (Comput. Electron.) 14(8), 652–662 (2013)
Park, J., Moom, Y.J., Jeong, M.G.: Quasi-resonant (QR) controller with adaptive switching frequency reduction scheme for flyback converter. IEEE Trans. Industr. Electron. 63(6), 3571–3581 (2016)
El-Zohri, E.H., Rezk, H., Alamri, B., Ziedan, H.A.: Improving the power quality of smart microgrid based solar photovoltaic systems. Intell. Autom. Soft Comput. 30(1), 201–213 (2021)
Liu, J., Jiang, Y., Li, S., et al.: EMC design of electric operating system for miniature circuit breaker. Acta Electron. Sin. 48(05), 914–921 (2020)
Acknowledgement
The authors thank all partners in Jiangsu Key Construction Laboratory of IoT Application Technology (Wuxi Taihu University).
Funding
This research was supported in part by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No. 18KJB510045), and in part by the Research Foundation of Jiangsu Key Construction Laboratory of IoT Application Technology (Grant No. 18WXWL05).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
The authors declare that they have no conflicts of interest to report regarding the present study.
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Liu, J., Li, S., Zhang, Z., Zhang, J. (2022). Efficiency Improvement Method of Flyback Switching Power Supply Based on Quasi-Resonance. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13340. Springer, Cham. https://doi.org/10.1007/978-3-031-06791-4_44
Download citation
DOI: https://doi.org/10.1007/978-3-031-06791-4_44
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-06790-7
Online ISBN: 978-3-031-06791-4
eBook Packages: Computer ScienceComputer Science (R0)