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© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 929
Design and prototyping of a new SMPS for electrical vehicle
Arjan Hussein Fadhil1, İsmail Topaloğlu1
1Department of Electrical and Electronics, Faculty of Engineering, Çankırı Karatekin University, Çankırı, Turkey
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Abstract
This project explains several well-known topologies (the basic building blocks) widely used to design and implement linear
and switching power supplies. Each topology has common and unique characteristics, so an experienced designer can choose
the most suitable topology for the intended application. The choice can be difficult, so it should take several times to establish
a basic understanding of the characteristics. The correct initial selection will avoid sitting idly on a chassis that would not be
the best for the application. In this work, some structures used in SMPS are described in detail, and each topology is described
with specific mathematical equations for each component. The output of these structures was also shown. A comparison was
made between the types of isolated and non-isolated topologies and the characterization of voltages and currents in each part
of the design. In the end, the simulation was conducted using the Python language, and the practical results of the studied
designs were presented and matched with the theoretical study.
Keywords: SMPS, topology, isolated SMPS
Introduction
SMPS is a system that provides this voltage by using semiconductor switching techniques instead of obtaining the required
output voltages with the switched mode power supply standard methods (Allan et al. 2003; Alfarra et al. 2004; Alfarra et al.
2006). One of the critical points in the operation of SMPS is that it is a switched voltage regulator. The production and design
of switching voltage regulators are much more complex and costly than linear voltage regulators. Output noise levels of the
regulator are pretty high. In addition, the operating frequencies are much higher than the main frequency (Allan et al. 2004;
Andersson-Skold and Simpson 2001). In addition to these disadvantages, the efficiency of the switching voltage regulators is
relatively high and the output voltage of the linear voltage regulators should be higher than the input voltage. In contrast, the
output value of the switching regulators can be smaller or larger than the input. Most DC power supplies contain a mains
transformer, a half or full-branch rectifier, an electronic filter, and a voltage regulation circuit. This sequence of operation in a
standard power supply is given below. A switched converter consists of a power switching step and a control circuit. The
power switching stage provides the power conversion of the circuit's input voltage (Vin) (Liu and Jiang 2003; Bahreini et al.
2005). The most crucial advantage of SMPS is that it can convert at a very high efficiency compared to standard linear
regulators. Moreover, this conversion is achieved by switching a transistor or MOSFET inside the circuit. Another important
feature of SMPS power supplies is that they do not work as step-down converters like linear regulator converters. There are
three types of SMPS (Canagaratna et al. 2006; Kostenidou et al. 2007). These are Buck Converters, Boost Converters, and step-
down and step-up SMPSs. As their names suggest, these types are SMPSs that can provide input voltage and output voltage
below that voltage. On the other hand, Amplifiers are SMPSs that can provide an output voltage at high voltage values at the
input voltage (Maricq et al. 2010). This project aims to explain several well-known topologies that are widely used to design
and implement a switching and linear power supply.
Results and discussion
In this section the simulation of some topologies (Buck, Buck-Boost, and the Flyback) will be presented and the result of
simulation will be discussed.
Buck Converter simulation results
Using Python power electronics (Appendix A) to simulate the work of a buck converter as shown in Fig. 1 with PWM = 30%:
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 930
Figure 1: Buck converter circuit.
After setup the simulation (Appendix B) the the simulation results would be in the folder
“C:pythonpowerelectronics_simulationSimulationsBuck_Converter” and the name of the file is
“InputandOutputVoltages.png”. Fig. 2 shows the output and input voltage for D=30%. The stability time 10ms with
overshooting <55%.
Figure 2: Buck converter simulated voltage.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 931
The simulation results for the input current are shown in Fig. 3.
Figure 3: Buck converter simulated input current.
The simulation results for the inductor current are shown in Fig. 4.
Figure 4: Buck converter simulated inductor current
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
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© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 932
The simulation results for the diode current are shown in Fig. 5.
Figure 5: Buck converter simulated diode current
Conclusion
This study provided an overview of the most commonly used structures and showed the features of each. A comprehensive
study of the most important types of isolated and non-isolated SMPS was presented. Mathematical relationships explain the
shape and nature of the entire circuit's voltages and currents and each component. Python language was used to simulate the
structures after explaining the working mechanism of each structure. The simulation results showed a perfect match with the
theoretical relationships that determine the behavior of each SMPS.
Declarations
This study is part of a master's thesis.
References
Alfarra, M. R., Coe, H., Allan, J. D., Bower, K. N., Boudries, H., Canagaratna, M. R., Jimenez, J. L., Jayne, J. T., Garforth, A., Li, S. M.
and Worsnop, D. R. 2004. Characterization of Urban and Regional Organic Aerosols in the Lower Fraser Valley Using
Two Aerodyne Aerosol Mass Spectrometers. Atmos. Environ., 38: 5745–5758.
Alfarra, M. R., Paulsen, D., Gysel, M., Garforth, A. A., Dommen, J., Prevot, A. S. H., Worsnop, D. R., Baltensperger, U. and Coe, H.
2006. A Mass Spectrometric Study of Secondary Organic Aerosols Formed from the Photooxidation of Anthropogenic
and Biogenic Precursors in a Reaction Chamber. Atmos. Chem. Phys., 6: 5279–5293.
Allan, J. D., Jimenez, J. L., Williams, P. I., Alfarra, M. R., Bower, K. N., Jayne, J. T., Coe, H. and Worsnop, D. R. 2003. Quantitative
Sampling Using an Aerodyne Aerosol Mass Spectrometer: 1. Techniques of data interpretation and error analysis. J.
Geophys. Res., 108(D3): 4091 doi: 10.1029/2002JD002359.
Allan, J. D., Bower, K. N., Coe, H., Boudries, H., Jayne, J. T., Canagaratna, M. R., Millet, D. B., Goldstein, A. H., Quinn, P. K., Weber, R.
J. and Worsnop, D. R. 2004. Submicron Aerosol Composition at Trinidad Head, California, during ITCT 2K2: Its
Relationship With Gas Phase Volatile Organic Carbon and Assessment of Instrument Performance. J. Geophys. Res., 109
doi: 10.1029/2003JD004208.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 933
Andersson-Skold, Y. and Simpson, D. 2001. Secondary Organic Aerosol Formation in Northern European model study. J.
Geophys. Res., 106: 7357–7374. doi: 10.1029/2000JGR900656.
Bahreini, R., Keywood, M. D., Ng, N. L., Varutbangkul, V., Gao, S., Flagan, R. C., Seinfeld, J. H., Worsnop, D. R. and Jimenez, J. L.
2005. Measurements of Secondary Organic Aerosol (SOA) from Oxidation of Cycloalkenes, Terpenes, and m-xylene
Using an Aerodyne Aerosol Mass Spectrometer. Environ. Sci. Technol., 39(15): 5674–5688.
Canagaratna, M. R., Jayne, J. T., Jimenez, J. L., Allan, J. D., Alfarra, M. R., Zhang, Q., Onasch, T. B., Drewnick, F., Coe, H.,
Middlebrook, A., Delia, A., Williams, L. R., Trimborn, A. M., Northway, M. J., DeCarlo, P. F., Kolb, C. E., Davidovits, P. and
Worsnop, D. R. 2006. Chemical and Microphysical Characterization of Ambient Aerosols with the Aerodyne Aerosol
Mass Spectrometry. Mass Spectrom. Review., 26: 185–222.
Kostenidou, Evangelia, Ravi K. Pathak, and Spyros N. Pandis. "An algorithm for the calculation of secondary organic aerosol
density combining AMS and SMPS data." Aerosol Science and Technology 41.11 (2007): 1002-1010.
Liu, D. H., and J. G. Jiang. "High frequency characteristic analysis of EMI filter in switch mode power supply (SMPS)." 2002 IEEE
33rd Annual IEEE Power Electronics Specialists Conference. Proceedings (Cat. No. 02CH37289). Vol. 4. IEEE, 2002.
Maricq, M. Matti, Diane H. Podsiadlik, and Richard E. Chase. "Size distributions of motor vehicle exhaust PM: a comparison
between ELPI and SMPS measurements." Aerosol Science & Technology 33.3 (2000): 239-260.

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Design and prototyping of a new SMPS for electrical vehicle

  • 1. © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 929 Design and prototyping of a new SMPS for electrical vehicle Arjan Hussein Fadhil1, İsmail Topaloğlu1 1Department of Electrical and Electronics, Faculty of Engineering, Çankırı Karatekin University, Çankırı, Turkey -----------------------------------------------------------------------------***--------------------------------------------------------------------- Abstract This project explains several well-known topologies (the basic building blocks) widely used to design and implement linear and switching power supplies. Each topology has common and unique characteristics, so an experienced designer can choose the most suitable topology for the intended application. The choice can be difficult, so it should take several times to establish a basic understanding of the characteristics. The correct initial selection will avoid sitting idly on a chassis that would not be the best for the application. In this work, some structures used in SMPS are described in detail, and each topology is described with specific mathematical equations for each component. The output of these structures was also shown. A comparison was made between the types of isolated and non-isolated topologies and the characterization of voltages and currents in each part of the design. In the end, the simulation was conducted using the Python language, and the practical results of the studied designs were presented and matched with the theoretical study. Keywords: SMPS, topology, isolated SMPS Introduction SMPS is a system that provides this voltage by using semiconductor switching techniques instead of obtaining the required output voltages with the switched mode power supply standard methods (Allan et al. 2003; Alfarra et al. 2004; Alfarra et al. 2006). One of the critical points in the operation of SMPS is that it is a switched voltage regulator. The production and design of switching voltage regulators are much more complex and costly than linear voltage regulators. Output noise levels of the regulator are pretty high. In addition, the operating frequencies are much higher than the main frequency (Allan et al. 2004; Andersson-Skold and Simpson 2001). In addition to these disadvantages, the efficiency of the switching voltage regulators is relatively high and the output voltage of the linear voltage regulators should be higher than the input voltage. In contrast, the output value of the switching regulators can be smaller or larger than the input. Most DC power supplies contain a mains transformer, a half or full-branch rectifier, an electronic filter, and a voltage regulation circuit. This sequence of operation in a standard power supply is given below. A switched converter consists of a power switching step and a control circuit. The power switching stage provides the power conversion of the circuit's input voltage (Vin) (Liu and Jiang 2003; Bahreini et al. 2005). The most crucial advantage of SMPS is that it can convert at a very high efficiency compared to standard linear regulators. Moreover, this conversion is achieved by switching a transistor or MOSFET inside the circuit. Another important feature of SMPS power supplies is that they do not work as step-down converters like linear regulator converters. There are three types of SMPS (Canagaratna et al. 2006; Kostenidou et al. 2007). These are Buck Converters, Boost Converters, and step- down and step-up SMPSs. As their names suggest, these types are SMPSs that can provide input voltage and output voltage below that voltage. On the other hand, Amplifiers are SMPSs that can provide an output voltage at high voltage values at the input voltage (Maricq et al. 2010). This project aims to explain several well-known topologies that are widely used to design and implement a switching and linear power supply. Results and discussion In this section the simulation of some topologies (Buck, Buck-Boost, and the Flyback) will be presented and the result of simulation will be discussed. Buck Converter simulation results Using Python power electronics (Appendix A) to simulate the work of a buck converter as shown in Fig. 1 with PWM = 30%: International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 930 Figure 1: Buck converter circuit. After setup the simulation (Appendix B) the the simulation results would be in the folder “C:pythonpowerelectronics_simulationSimulationsBuck_Converter” and the name of the file is “InputandOutputVoltages.png”. Fig. 2 shows the output and input voltage for D=30%. The stability time 10ms with overshooting <55%. Figure 2: Buck converter simulated voltage.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 931 The simulation results for the input current are shown in Fig. 3. Figure 3: Buck converter simulated input current. The simulation results for the inductor current are shown in Fig. 4. Figure 4: Buck converter simulated inductor current
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 932 The simulation results for the diode current are shown in Fig. 5. Figure 5: Buck converter simulated diode current Conclusion This study provided an overview of the most commonly used structures and showed the features of each. A comprehensive study of the most important types of isolated and non-isolated SMPS was presented. Mathematical relationships explain the shape and nature of the entire circuit's voltages and currents and each component. Python language was used to simulate the structures after explaining the working mechanism of each structure. The simulation results showed a perfect match with the theoretical relationships that determine the behavior of each SMPS. Declarations This study is part of a master's thesis. References Alfarra, M. R., Coe, H., Allan, J. D., Bower, K. N., Boudries, H., Canagaratna, M. R., Jimenez, J. L., Jayne, J. T., Garforth, A., Li, S. M. and Worsnop, D. R. 2004. Characterization of Urban and Regional Organic Aerosols in the Lower Fraser Valley Using Two Aerodyne Aerosol Mass Spectrometers. Atmos. Environ., 38: 5745–5758. Alfarra, M. R., Paulsen, D., Gysel, M., Garforth, A. A., Dommen, J., Prevot, A. S. H., Worsnop, D. R., Baltensperger, U. and Coe, H. 2006. A Mass Spectrometric Study of Secondary Organic Aerosols Formed from the Photooxidation of Anthropogenic and Biogenic Precursors in a Reaction Chamber. Atmos. Chem. Phys., 6: 5279–5293. Allan, J. D., Jimenez, J. L., Williams, P. I., Alfarra, M. R., Bower, K. N., Jayne, J. T., Coe, H. and Worsnop, D. R. 2003. Quantitative Sampling Using an Aerodyne Aerosol Mass Spectrometer: 1. Techniques of data interpretation and error analysis. J. Geophys. Res., 108(D3): 4091 doi: 10.1029/2002JD002359. Allan, J. D., Bower, K. N., Coe, H., Boudries, H., Jayne, J. T., Canagaratna, M. R., Millet, D. B., Goldstein, A. H., Quinn, P. K., Weber, R. J. and Worsnop, D. R. 2004. Submicron Aerosol Composition at Trinidad Head, California, during ITCT 2K2: Its Relationship With Gas Phase Volatile Organic Carbon and Assessment of Instrument Performance. J. Geophys. Res., 109 doi: 10.1029/2003JD004208.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 933 Andersson-Skold, Y. and Simpson, D. 2001. Secondary Organic Aerosol Formation in Northern European model study. J. Geophys. Res., 106: 7357–7374. doi: 10.1029/2000JGR900656. Bahreini, R., Keywood, M. D., Ng, N. L., Varutbangkul, V., Gao, S., Flagan, R. C., Seinfeld, J. H., Worsnop, D. R. and Jimenez, J. L. 2005. Measurements of Secondary Organic Aerosol (SOA) from Oxidation of Cycloalkenes, Terpenes, and m-xylene Using an Aerodyne Aerosol Mass Spectrometer. Environ. Sci. Technol., 39(15): 5674–5688. Canagaratna, M. R., Jayne, J. T., Jimenez, J. L., Allan, J. D., Alfarra, M. R., Zhang, Q., Onasch, T. B., Drewnick, F., Coe, H., Middlebrook, A., Delia, A., Williams, L. R., Trimborn, A. M., Northway, M. J., DeCarlo, P. F., Kolb, C. E., Davidovits, P. and Worsnop, D. R. 2006. Chemical and Microphysical Characterization of Ambient Aerosols with the Aerodyne Aerosol Mass Spectrometry. Mass Spectrom. Review., 26: 185–222. Kostenidou, Evangelia, Ravi K. Pathak, and Spyros N. Pandis. "An algorithm for the calculation of secondary organic aerosol density combining AMS and SMPS data." Aerosol Science and Technology 41.11 (2007): 1002-1010. Liu, D. H., and J. G. Jiang. "High frequency characteristic analysis of EMI filter in switch mode power supply (SMPS)." 2002 IEEE 33rd Annual IEEE Power Electronics Specialists Conference. Proceedings (Cat. No. 02CH37289). Vol. 4. IEEE, 2002. Maricq, M. Matti, Diane H. Podsiadlik, and Richard E. Chase. "Size distributions of motor vehicle exhaust PM: a comparison between ELPI and SMPS measurements." Aerosol Science & Technology 33.3 (2000): 239-260.