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Joarder, <i>et al<\/i>.: \u201cHarmonic modelling and control of dual active bridge converter for DC microgrid applications,\u201d Energy Reports <b>12<\/b> (2024) 52 (DOI: 10.1016\/J.EGYR.2024.05.015).","key":"1","DOI":"10.1016\/j.egyr.2024.05.015"},{"doi-asserted-by":"crossref","unstructured":"[2] R.O. N\u00fa\u00f1ez, <i>et al<\/i>.: \u201cA comparative study of three-phase dual active bridge converters for renewable energy applications,\u201d Sustainable Energy Technologies and Assessments <b>23<\/b> (2017) 1 (DOI: 10.1016\/J.SETA.2017.07.004).","key":"2","DOI":"10.1016\/j.seta.2017.07.004"},{"doi-asserted-by":"crossref","unstructured":"[3] K. Sabhi, <i>et al<\/i>.: \u201cIntegrating dual active bridge DC-DC converters: a novel energy management approach for hybrid renewable energy systems,\u201d Electrical Engineering &amp; Electromechanics (2025) 39 (DOI: 10.20998\/2074-272X.2025.2.06).","key":"3","DOI":"10.20998\/2074-272X.2025.2.06"},{"doi-asserted-by":"crossref","unstructured":"[4] D.A. Herrera-Jaramillo, <i>et al<\/i>.: \u201cSystematic analysis of control techniques for the dual active bridge converter in photovoltaic applications,\u201d International Journal of Circuit Theory and Applications <b>49<\/b> (2021) 3031 (DOI: 10.1002\/CTA.3031).","key":"4","DOI":"10.1002\/cta.3031"},{"doi-asserted-by":"crossref","unstructured":"[5] Z. Liu, <i>et al<\/i>.: \u201cSmart search implemented H-infinity control design for DAB converter in DC microgrid,\u201d IEEE J. Emerg. Sel. Topics Power Electron. <b>12<\/b> (2024) 1906 (DOI: 10.1109\/JESTPE.2024.3351130).","key":"5","DOI":"10.1109\/JESTPE.2024.3351130"},{"doi-asserted-by":"crossref","unstructured":"[6] L. Cui, <i>et al<\/i>.: \u201cAn enhanced integrated optimization strategy for wide ZVS operation and reduced current stress across the full load range in DAB converters,\u201d Applied Sciences <b>15<\/b> (2025) 7413 (DOI: 10.3390\/APP15137413).","key":"6","DOI":"10.3390\/app15137413"},{"doi-asserted-by":"crossref","unstructured":"[7] A. Esturk and E. Akboy: \u201cComparison of increasing efficiency in DAB converters using EPS, DPS and TPS with evolutionary algorithms,\u201d 2023 25th European Conference on Power Electronics and Applications (EPE\u201923 ECCE Europe) (2023) 1 (DOI: 10.23919\/EPE23ECCEEurope58414.2023.10264514).","key":"7","DOI":"10.23919\/EPE23ECCEEurope58414.2023.10264514"},{"doi-asserted-by":"crossref","unstructured":"[8] S. Cheng, <i>et al<\/i>.: \u201cDAB unified ZVS control strategy with optimal current stress in full power range under TPS control,\u201d IET Power Electronics <b>17<\/b> (2024) 2405 (DOI: 10.1049\/PEL2.12788).","key":"8","DOI":"10.1049\/pel2.12788"},{"doi-asserted-by":"crossref","unstructured":"[9] A. Shukla, <i>et al<\/i>.: \u201cTPS control-based current stress reduction for dual active bridge converters,\u201d 2024 23rd National Power Systems Conference (NPSC) (2024) 1 (DOI: 10.1109\/NPSC61626.2024.10986885).","key":"9","DOI":"10.1109\/NPSC61626.2024.10986885"},{"doi-asserted-by":"crossref","unstructured":"[10] H. Xie, <i>et al<\/i>.: \u201cThe triple phase-shift control of DAB converter with reconfigurable transformer to optimize the RMS current for wide voltage applications,\u201d 2024 CPSS &amp; IEEE International Symposium on Energy Storage and Conversion (ISESC) (2024) 299 (DOI: 10.1109\/ISESC63657.2024.10785486).","key":"10","DOI":"10.1109\/ISESC63657.2024.10785486"},{"doi-asserted-by":"crossref","unstructured":"[11] T. Hagawane, <i>et al<\/i>.: \u201cModel predictive control of dual active bridge DC-DC converter based on PWM plus TPS modulation for automotive applications,\u201d 2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON) (2022) 1 (DOI: 10.1109\/PECCON55017.2022.9851171).","key":"11","DOI":"10.1109\/PECCON55017.2022.9851171"},{"doi-asserted-by":"crossref","unstructured":"[12] Q. Zeng, <i>et al<\/i>.: \u201cResearch on DAB triple phase shift control strategy based on current stress and soft switch dual objective optimization,\u201d 2021 11th International Conference on Power and Energy Systems (ICPES) (2021) 36 (DOI: 10.1109\/ICPES53652.2021.9683807).","key":"12","DOI":"10.1109\/ICPES53652.2021.9683807"},{"doi-asserted-by":"crossref","unstructured":"[13] F. Wang, <i>et al<\/i>.: \u201cGlobal modulation strategy and analysis of DAB converter based on efficiency optimization,\u201d IEICE Electron. Express <b>21<\/b> (2024) 20240662 (DOI: 10.1587\/elex.21.20240662).","key":"13","DOI":"10.1587\/elex.21.20240662"},{"doi-asserted-by":"crossref","unstructured":"[14] D.-D. Nguyen, <i>et al<\/i>.: \u201cNew modulation strategy combining phase shift and frequency variation for dual-active-bridge converter,\u201d IEEJ J. Ind. Appl. <b>6<\/b> (2017) 140 (DOI: 10.1541\/ieejjia.6.140).","key":"14","DOI":"10.1541\/ieejjia.6.140"},{"doi-asserted-by":"crossref","unstructured":"[15] J. Zhao, <i>et al<\/i>.: \u201cResearch on three-parameter modulation strategy for phase-shifted full-bridge converters based on asymmetric duty cycle,\u201d IEICE Electron. Express <b>22<\/b> (2025) 20250413 (DOI: 10.1587\/elex.22.20250413).","key":"15","DOI":"10.1587\/elex.22.20250413"},{"doi-asserted-by":"crossref","unstructured":"[16] D. Mou, <i>et al<\/i>.: \u201cModeling and analysis of hybrid dual active bridge converter to optimize efficiency over whole operating range,\u201d IEEE J. Emerg. Sel. Topics Power Electron. <b>11<\/b> (2023) 432 (DOI: 10.1109\/JESTPE.2022.3182331).","key":"16","DOI":"10.1109\/JESTPE.2022.3182331"},{"doi-asserted-by":"crossref","unstructured":"[17] B. Bohara, <i>et al<\/i>.: \u201cTriple phase shift control of dual active bridge converter using machine learning methods,\u201d 2022 IEEE Texas Power and Energy Conference (TPEC) (2022) 1 (DOI: 10.1109\/TPEC54980.2022.9750772).","key":"17","DOI":"10.1109\/TPEC54980.2022.9750772"},{"doi-asserted-by":"crossref","unstructured":"[18] Y.A. Harrye, <i>et al<\/i>.: \u201cReactive power minimization of dual active bridge DC\/DC converter with triple phase shift control using neural network,\u201d 2014 International Conference on Renewable Energy Research and Application (ICRERA) (2014) 566 (DOI: 10.1109\/ICRERA.2014.7016448).","key":"18","DOI":"10.1109\/ICRERA.2014.7016448"},{"doi-asserted-by":"crossref","unstructured":"[19] H. Shi, <i>et al<\/i>.: \u201cReactive power minimization in bidirectional DC-DC converters using a unified-phasor-based particle swarm optimization,\u201d IEEE Trans. Power Electron. <b>33<\/b> (2018) 10990 (DOI: 10.1109\/TPEL.2018.2811711).","key":"19","DOI":"10.1109\/TPEL.2018.2811711"},{"doi-asserted-by":"crossref","unstructured":"[20] T.S. Bheemraj, <i>et al<\/i>.: \u201cPSO based universal phase shift modulation scheme for DAB converter to eliminate backflow power in energy storage applications,\u201d International Journal of Circuit Theory and Applications <b>51<\/b> (2023) 3792 (DOI: 10.1002\/CTA.3615).","key":"20","DOI":"10.1002\/cta.3615"},{"doi-asserted-by":"crossref","unstructured":"[21] Z. Yin, <i>et al<\/i>.: \u201cResearch on autodisturbance-rejection control of induction motors based on an ant colony optimization algorithm,\u201d IEEE Trans. Ind. Electron. <b>65<\/b> (2018) 3077 (DOI: 10.1109\/TIE.2017.2751008).","key":"21","DOI":"10.1109\/TIE.2017.2751008"},{"doi-asserted-by":"crossref","unstructured":"[22] W. Du and W. Chen: \u201cGenetic-algorithm-driven parameter optimization of three representative DAB controllers for voltage stability,\u201d Applied Sciences <b>13<\/b> (2023) 10374 (DOI: 10.3390\/APP131810374).","key":"22","DOI":"10.3390\/app131810374"},{"doi-asserted-by":"crossref","unstructured":"[23] W. Ma, <i>et al<\/i>.: \u201cDAB converter current stress optimization based on genetic algorithm,\u201d 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA) (2024) 1 (DOI: 10.1109\/ICIEA61579.2024.10664966).","key":"23","DOI":"10.1109\/ICIEA61579.2024.10664966"},{"doi-asserted-by":"crossref","unstructured":"[24] Z. Feng, <i>et al<\/i>.: \u201cDeep reinforcement learning assisted hybrid five-variable modulation scheme for DAB converters to reduce RMS current and expand ZVS operation,\u201d IEEE Trans. Power Electron. <b>39<\/b> (2024) 8114 (DOI: 10.1109\/TPEL.2024.3392759).","key":"24","DOI":"10.1109\/TPEL.2024.3392759"},{"doi-asserted-by":"crossref","unstructured":"[25] Y. Zhang, <i>et al<\/i>.: \u201cA comprehensive optimization strategy of DAB converter with minimal current stress and full soft switching in the whole operating range,\u201d IEEE J. Emerg. Sel. Topics Power Electron. <b>12<\/b> (2024) 129 (DOI: 10.1109\/JESTPE.2023.3305502).","key":"25","DOI":"10.1109\/JESTPE.2023.3305502"},{"doi-asserted-by":"crossref","unstructured":"[26] J. He, <i>et al<\/i>.: \u201cReview of modeling, modulation, and control strategies for the dual-active-bridge DC\/DC converter,\u201d Energies <b>16<\/b> (2023) 6646 (DOI: 10.3390\/EN16186646).","key":"26","DOI":"10.3390\/en16186646"},{"doi-asserted-by":"crossref","unstructured":"[27] Y. Tang, <i>et al<\/i>.: \u201cReinforcement learning based efficiency optimization scheme for the DAB DC-DC converter with triple-phase-shift modulation,\u201d IEEE Trans. Ind. Electron. <b>68<\/b> (2021) 7350 (DOI: 10.1109\/TIE.2020.3007113).","key":"27","DOI":"10.1109\/TIE.2020.3007113"},{"doi-asserted-by":"crossref","unstructured":"[28] W. You, <i>et al<\/i>.: \u201cDeep reinforcement learning-based proportional-integral control for dual-active-bridge converter,\u201d Neural Computing and Applications <b>35<\/b> (2023) 17953 (DOI: 10.1007\/S00521-023-08667-X).","key":"28","DOI":"10.1007\/s00521-023-08667-x"},{"doi-asserted-by":"crossref","unstructured":"[29] B. Zhao, <i>et al<\/i>.: \u201cUniversal high-frequency-link characterization and practical fundamental-optimal strategy for dual-active-bridge DC-DC converter under PWM plus phase-shift control,\u201d IEEE Trans. Power Electron. <b>30<\/b> (2015) 6488 (DOI: 10.1109\/TPEL.2015.2430934).","key":"29","DOI":"10.1109\/TPEL.2015.2430934"},{"doi-asserted-by":"crossref","unstructured":"[30] S. Shao, <i>et al<\/i>.: \u201cOptimal phase-shift control to minimize reactive power for a dual active bridge DC-DC converter,\u201d IEEE Trans. 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