This study presents a design methodology applied to design and improve the efficiency of interleaved Buck converters. This methodology is based on a multi-physic and multi-objective optimisation to ensure well integration of the converters. Thereto, the number of cells is used as a key parameter to formalise this approach with analytical models established to offer compromise needed between the computation time and results accuracy. The proposed methodology is applied to an interleaved buck converter for automotive application to achieve the requirements as electrical, volume, efficiency and thermal constraints. It allows to find the optimal converter architecture by searching the minimum volume integration and maximum efficiency by depicting the optimal number of cells and adequate active and passive component technologies selected from a manufacturer database. This methodology is drawn up to remove the risk of feasibility on the converter configuration earlier during the design process considering multi-physic constraints.

References

1. 1)
  - 8. Helali, H., Bergogne, D., Ben Hadj Slama, J., et al: ‘Power converter's optimisation and design. Discrete cost function with genetic based algorithms’. 2005 European Conf. Power Electronics and Applications, 2005, pp. 7.
2. 2)
  - 78. Larouci, C., Keradec, J.P., Ferrieux, J.P., et al: ‘Copper losses of flyback transformer: search for analytical expressions’, IEEE Trans Magn., 2003, 39, (3), pp. 1745–1748 (doi: 10.1109/TMAG.2003.810411).
3. 3)
  - 14. Younsi, M., Bendali, M., Azib, T., Larouci, C., Marchand, C., Coquery, G.: ‘Current-sharing control technique of interleaved buck converter for automotive application’. Seventh IET Int. Conf. Power Electronics, Machines and Drives (PEMD 2014), 2014, pp. 1–6.
4. 4)
  - 20. Deb, K., Sundar, J., Udaya Bhaskara Rao, N., Chaudhuri, S.: ‘Reference point based multi-objective optimization using evolutionary algorithms’, Int. J. Comput. Intell. Res., 2006, 2, (3), pp. 273–286 (doi: 10.5019/j.ijcir.2006.67).
5. 5)
  - 1. Shrud, M.A., Bonsbaine, A., Ashur, A.S., Thorn, R., Benmusa, T.: ‘Modeling and simulation of automotive interleaved buck converter’. 2009 Proc. 44th Int. Universities Power Engineering Conf. (UPEC), 2009, pp. 1–5.
6. 6)
  - K. Deb , A. Pratap , S. Agarwal , T. Meyarivan . A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. , 2 , 182 - 197
7. 7)
  - 16. Larouci, C., Ejjabraoui, K., Lefranc, P., Marchand, C.: ‘Placement optimization of power components in static power converters under spatial and thermal constraints’, J. Power Electron., 2012, 12, (2), pp. 368–376 (doi: 10.6113/JPE.2012.12.2.368).
8. 8)
  - 6. Oza, R., Emadi, A., : ‘Evaluation and optimization of power electronic converters using advanced computer aided engineering techniques’, J. Power Electron., 2003, 3, (2), pp. 69–80.
9. 9)
  - 132. Busquets-monge, S., Soremekun, G., Hefiz, E., et al: ‘Power converter design optimization’, IEEE Ind. Appl. Mag., 2004, 10, (1), pp. 32–38 (doi: 10.1109/MIA.2004.1256250).
10. 10)
  - 3. Viet, D.B., Lembeye, Y., Ferrieux, J.P., Barbaroux, J., Avenas, Y.: ‘New high power – high ratio non isolated DC-DC boost converter for fuel cell applications’. 37th IEEE Power Electronics Specialists Conf., 2006 (PESC'06), 2006, pp. 1–7.
11. 11)
  - 11. Ejjabraoui, K., Larouci, C., Lefranc, P., Marchand, C.: ‘Presizing methodology of DC-DC converters using optimization under multiphysic constraints: application to a buck converter’, IEEE Trans. Ind. Electron., 2012, 59, (7), pp. 2781–2790 (doi: 10.1109/TIE.2011.2162210).
12. 12)
  - 5. Cousineau, M., Le Bolloch, M., Bouhalli, N., Sarraute, E., Meynard, T.: ‘Triangular carrier self-alignment using modular approach for interleaved converter control’. Proc. 2011 – 14th European Conf. Power Electronics and Applications (EPE 2011), 2011, pp. 1–10.
13. 13)
  - 18. Saegesser, I., Vezzini, A., Galliker, B.: ‘Cost and power optimized electrical drive train system design for an electric three-wheel vehicle based on field test data acquisition and offline simulations’. 2011 IEEE Vehicle Power and Propulsion Conf. (VPPC), 2011, pp. 1–5.
14. 14)
  - 15. Laboure, E., Cuniere, A., Meynard, T.A., Forest, F., Sarraute, E.: ‘A theoretical approach to intercell transformers, application to interleaved converters’, IEEE Trans. Power Electron., 2008, 23, (1), pp. 464–474 (doi: 10.1109/TPEL.2007.911786).
15. 15)
  - 17. Ledoux, C., Lefranc, P., Larouci, C.: ‘Pre-sizing methodology of embedded static converters using a virtual prototyping tool based on an optimisation under constraints method: comparison of two power-sharing topologies’, IET Electr. Syst. Transp., 2013, 3, (1), pp. 1–9 (doi: 10.1049/iet-est.2011.0027).
16. 16)
  - 13. Li, Y., Yu, S.-M.: ‘A coupled-simulation-and-optimization approach to nanodevice fabrication with minimization of electrical characteristics fluctuation’, IEEE Trans. Semicond. Manuf., 2007, 20, (4), pp. 432–438 (doi: 10.1109/TSM.2007.907623).
17. 17)
  - 7. Larouci, C., Boukhnifer, M., Chaibet, A.: ‘Design of power converters by optimization under multiphysic constraints: application to a two-time-scale AC/DC–DC converter’, IEEE Trans. Ind. Electron., 2010, 57, (11), pp. 3746–3753 (doi: 10.1109/TIE.2010.2041134).
18. 18)
  - 12. Vodyakho, O., Chiocchio, T., Steurer, M., Edrington, C., Sloderbeck, M.: ‘Modeling of medium voltage power electronics converters utilizing advanced simulation tools’. 2011 26th Annual IEEE Applied Power Electronics Conference and Exposition (APEC), 2011, pp. 763–770.
19. 19)
  - 62. Bratcu, A.I., Munteanu, I., Bacha, S., Picault, D., Raison, B.: ‘Cascaded DCDC converter photovoltaic systems: power optimization issues’, IEEE Trans. Ind. Electron., 2011, 58, (2), pp. 403–411 (doi: 10.1109/TIE.2010.2043041).
20. 20)
  - 2. Garinto, D.: ‘A novel multiphase multi-interleaving buck converters for future microprocessors’. 12th Int. Power Electronics and Motion Control Conf., 2006 (EPE-PEMC 2006), 2006, pp. 82–87.

Design methodology of an interleaved buck converter for onboard automotive application, multi-objective optimisation under multi-physic constraints

References

Related content