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