This paper presents the design and implementation of a switch- mode power supply (SMPS) based battery charger delivering 48 V at 8 A with precise constant- voltage regulation. The charger employs a high- frequency, pulse- width- modulated (PWM) buck converter topology optimized for efficiency and compactness. Key features include a digital control loop using a microcontroller- based PID algorithm to maintain output voltage within ±0.5% under varying load and input conditions, and a programmable soft- start sequence to limit inrush current during connection. Input power factor correction (PFC) ensures compliance with international grid- compatibility standards, while synchronous rectification in the output stage achieves efficiencies exceeding 94%. Protection mechanisms, overvoltage, overcurrent, and thermal shutdown are integrated to ensure safe operation and battery longevity. Experimental results on a laboratory prototype demonstrate stable 48 V output with rapid response to load transients and an overall efficiency of 92.5% at full load. The modular design allows scalability to higher power levels, making it suitable for modern energy storage systems in telecommunications, electric vehicles, and renewable- energy applications.
Introduction
The text discusses the increasing demand for compact, efficient, and reliable battery chargers driven by the growth of high-power battery-powered systems like telecom backups, EV auxiliary packs, and renewable energy storage. Switch-mode power supplies (SMPS) have become the preferred technology due to their high efficiency, power density, and thermal performance. The paper focuses on designing a 48 V, 8 A SMPS-based battery charger using a high-frequency PWM buck converter controlled by a digital PID loop for precise voltage regulation. Features include programmable soft-start to limit inrush current, active power factor correction (PFC), synchronous rectification for efficiency above 94%, and robust protection mechanisms. Experimental results show 92.5% efficiency at full load and stable operation.
The literature review covers various SMPS topologies used in 48 V battery chargers—buck, two-stage PFC buck, and single-stage PFC converters—along with control strategies like digital PID, model predictive control, and machine learning-assisted control. Efficiency improvements through synchronous rectification and soft-switching, as well as protection and thermal management techniques, are also surveyed.
The existing methods section outlines common SMPS charger topologies: flyback (low power, isolated), buck (non-isolated, efficient step-down), boost/buck-boost (for varying input voltages), forward (medium-to-high power isolated), half/full-bridge (high power with advanced control), and resonant LLC converters (high efficiency, low EMI). Two-stage architectures combining AC-DC PFC and DC-DC converters provide modularity and improved performance. Control strategies center on constant current/constant voltage (CC/CV) methods, increasingly augmented by advanced digital controls for safety and battery longevity.
Finally, the methodology section briefly introduces the systematic development of the 48 V/8 A constant-voltage SMPS charger, from requirements through design and testing.
Conclusion
In conclusion, the developed SMPS- based 48 V/8 A constant- voltage battery charger successfully meets the rigorous demands of modern high- power energy- storage applications. By employing an interleaved boost PFC front end and a GaN- enhanced synchronous- rectified buck output stage, the design achieves a peak efficiency of 94% and maintains an input power factor above0.95. The microcontroller- driven digital control loops, comprising a voltage- mode PFC algorithm and a discrete- time PID for output regulation ensure tight voltage accuracy (±0.5%) and rapid transient response (<1 ms for 50% load steps). Programmable soft- start, comprehensive overvoltage/overcurrent protections, and thermal shutdown safeguards further enhance reliability and battery longevity.
Experimentally validated on a compact, four layer PCB prototype, the charger demonstrates consistent performance across its full operating range, making it well- suited for telecommunications back-up systems, electric vehicle auxiliary packs, and renewable energy storage. The modular architecture also facilitates future scalability and multi- output configurations, providing a versatile blueprint for next- generation battery charging solutions.
References
[1] Tu, H.; Feng, H.; Srdic, S.; Lukic, S. Extreme Fast Charging of Electric Vehicles: A Technology Overview. IEEE Trans. Transp. Electrif. 2019, 5, 861–878.
[2] Badawy, M.O.; Sozer, Y. Power Flow Management of a Grid Tied PV-Battery System for Electric Vehicles Charging. IEEE Trans. Ind. Appl. 2017, 53, 1347–1357.
[3] Mateen, S. Discrete Stochastic Control for Energy Management With Photovoltaic Electric Vehicle Charging Station. CPSS Trans. Power Electron. Appl. 2022, 7, 216–225.
[4] Tran, V.T.; Islam, M.R.; Muttaqi, K.M.; Sutanto, D. An Efficient Energy Management Approach for a Solar-Powered EV Battery Charging Facility to Support Distribution Grids. IEEE Trans. Ind. Appl. 2019, 55, 6517–6526.
[5] Li, S.; Zhang, T.; Liu, X.; Xue, Z.; Liu, X. Performance investigation of a grid-connected system integrated photovoltaic, battery storage and electric vehicles: A case study for gymnasium building. Energy Build. 2022, 270, 112255.
[6] Haque, A.; Kurukuru, V.S.B.; Ali Khan, M. Energy Management Strategy for Grid Connected Solar Powered Electric Vehicle Charging Station. In Proceedings of the 2019 IEEE Transportation Electrification Conference (ITEC-India), Bengaluru, India, 17–19 December 2019.
[7] Singh, B.; Verma, A.; Chandra, A.; Al-Haddad, K. Implementation of Solar PV-Battery and Diesel Generator Based Electric Vehicle Charging Station. IEEE Trans. Ind. Appl. 2020, 56, 4007–4016.
[8] Teodorescu, R.; Liserre, M.; Rodríguez, P. Grid Converters for Photovoltaic and Wind Power Systems. Grid Convert. Photovolt. Wind Power Syst. 2010, 1, 407.
[9] Azeroual, M.; Boujoudar, Y.; Iysaouy, L.; Aljarbouh, A.; Fayaz, M.; Qureshi, M.S.; Rabbi, F.; Markhi, H. Energy management and control system for microgrid based wind-PV-battery using multi-agent systems. Wind. Eng. 2022, 46, 1247–1263.
[10] Boujoudar, Y.; Azeroual, M.; Elmoussaoui, H.; Lamhamdi, T. Intelligent control of battery energy storage for microgrid energy management using ANN. Int. J. Electr. Comput. Eng. 2021, 11, 2760–2767.