Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Research and implementation of new-type supercapacitor and battery hybrid energy storage system

  • Liu, Jian (School of Electrical and Information Engineering, Wuhan Institute of Technology) ;
  • Wang, Yang (School of Electrical and Information Engineering, Wuhan Institute of Technology) ;
  • Wu, Yangjie (School of Electrical and Information Engineering, Wuhan Institute of Technology) ;
  • Li, Yang (School of Electrical and Information Engineering, Wuhan Institute of Technology) ;
  • Wang, Xiangsheng (China Coal Pingshuo Group Co., Ltd.)
  • Received : 2020.02.24
  • Accepted : 2020.07.30
  • Published : 2020.11.20
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Abstract

When a dump truck brakes, it is difficult to effectively absorb the braking energy due to the transient mutation of braking energy. At the same time, braking energy production is too high to store easily. Focusing on these problems, this paper proposes a new type of two-stage series supercapacitor and battery (SP&B) hybrid energy storage system (ESS). Using the characteristics of supercapacitors, which can charge and discharge quickly with large currents, the system combines the supercapacitors with a battery with a high energy storage capacity. This allows sudden large currents to be absorbed and released rapidly, while large amounts of energy can be stored. This system can also reduce the charge and discharge times of the SP&B to meet the working requirements of dump truck braking while improving the service life of the system. After completion of the research and implementation of the proposed SP&B hybrid ESS, a laboratory dynamic model was set up as an experimental platform and vehicle operation experiments were performed. The obtained results show that the energy recovery efficiency of the hybrid ESS can reach 53.5%, which can realize both security and stability for dump truck braking energy recovery and utilization (BER&U) systems.

Keywords

Acknowledgement

Project Supported by National Key Technology Research and Development Program of China (2014BAA04B00), National Natural Science Foundation of China (51207117)

References

  1. Wang, Y., Chen, J., Liu, J., Liu, K., Zhang, Y., Wu, J., Zheng, H., Guan, Z.L.: Research and implementation of key technology of braking energy recovery system for of-highway dump truck. In: IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society. Beijing, pp. 3912-3917 (2017).
  2. Jabbour, N., Mademlis, C.: Improved control strategy of a supercapacitor-based energy recovery system for elevator applications. IEEE Trans. Power Electron. 31(12), 8398-8408 (2016) https://doi.org/10.1109/TPEL.2016.2516104
  3. Jabbour, N., Mademlis, C.: Supercapacitor-based energy recovery system with improved power control and energy management for elevator applications. IEEE Trans. Power Electron. 32(12), 9389-9399 (2017) https://doi.org/10.1109/TPEL.2017.2655119
  4. Shreelakshmi, M.P., Agarwal, V: An energy efcient and environment friendly elevator system using ultracapacitor and fuel cell with power factor correction. In: 2013 IEEE ECCE Asia Downunder, Melbourne, VIC, 2013, pp. 721-727 (2013).
  5. Grbovic, P.J., Delarue, P., LeMoigne, P., Bartholomeus, P.: A three-terminal ultracapacitor-based energy storage and PFC device for regenerative controlled electric drives. IEEE Trans. Ind. Electron. 59(1), 301-316 (2012) https://doi.org/10.1109/TIE.2011.2143371
  6. Cheng, C., Lau, R.W., Rathi, N.K., Chung, H.S.: Extraction of intrinsic parameters of lead-acid batteries using energy recycling technique. IEEE Trans. Power Electron. 34(5), 4765-4779 (2019) https://doi.org/10.1109/tpel.2018.2865670
  7. Cacciato, M., Nobile, G., Scarcella, G., Scelba, G.: Real-time model-based estimation of SOC and SOH for energy storage systems. IEEE Trans. Power Electron. 32(1), 794-803 (2015) https://doi.org/10.1109/TPEL.2016.2535321
  8. Sikkabut, S., Mungporn, P., Ekkaravarodome, C., Bizon, N.: Control of high-energy high-power densities storage devices by Li-ion battery and supercapacitor for fuel cell/photovoltaic hybrid power plant for autonomous system applications. IEEE Trans. Ind. Appl. 52(5), 4395-4407 (2016) https://doi.org/10.1109/TIA.2016.2581138
  9. Sun, B., Dragicevic, T., Freijedo, F.D., Vasquez, J.C., Guerrero, J.M.: A control algorithm for electric vehicle fast charging stations equipped with flywheel energy storage systems. IEEE Trans. Power Electron. 31(9), 6674-6685 (2016) https://doi.org/10.1109/TPEL.2015.2500962
  10. Luna, A.C., Diaz, N.L., Graells, M., Vasquez, J.C., Guerrero, J.M.: Mixed-integer-linear programming-based energy management system for hybrid PV-wind-battery microgrids: modeling, design, and experimental verifcation. IEEE Trans. Power Electron. 32(4), 2769-2783 (2017) https://doi.org/10.1109/TPEL.2016.2581021
  11. Ciccarelli, F., Del Pizzo, A., Iannuzzi, D.: Improvement of energy efciency in light railway vehicles based on power management control of wayside lithium-ion capacitor storage. IEEE Trans. Power Electron. 29(1), 275-286 (2014) https://doi.org/10.1109/TPEL.2013.2253492
  12. Kollmeyer, P.J., Wootton, M., Reimers, J., Opila, D.F.: Real-time control of a full scale Li-ion battery and Li-ion capacitor hybrid energy storage system for a plug-in hybrid vehicle. IEEE Trans. Ind. Appl. 55(4), 4204-4214 (2019) https://doi.org/10.1109/tia.2019.2911057
  13. Li, G., Gorges, D.: Ecological adaptive cruise control and energy management strategy for hybrid electric vehicles based on heuristic dynamic programming. IEEE Trans. Intell. Transp. Syst. 20(9), 3526-3535 (2019) https://doi.org/10.1109/tits.2018.2877389
  14. Nazari, S., Siegel, J., Stefanopoulou, A.: Optimal energy management for a mild hybrid vehicle with electric and hybrid engine boosting systems. IEEE Trans. Veh. Technol. 68(4), 3386-3399 (2019) https://doi.org/10.1109/tvt.2019.2898868
  15. Rezaei, A., Burl, J.B., Zhou, B., Rezaei, M.: A new real-time optimal energy management strategy for parallel hybrid electric vehicles. IEEE Trans. Control Syst. Technol. 27(2), 830-837 (2019) https://doi.org/10.1109/tcst.2017.2775184

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