journal article·2024-07

Concept, configuration, and application of on-board nanogrids for use in electric vehicles

Bing Zhao, Yong Li, Fang Wu, JiangHu Wan, JiuQing Cai, HaiTao Yang, Fang Liu

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Abstract

Against the backdrop of increasingly serious climate change, researchers are attempting to extend macroscale carbon reduction research to smaller scales. With the rapid development and widespread application of electric vehicles (EVs), an effective approach for carbon reduction based on EVs has the potential to be developed. To coordinate and manage the EV platform in diverse application scenarios, the concept of an on-board nanogrid (OBNG), in which a nanogrid is combined with the EV, is proposed and defined, and the characteristics summarized. A configuration that includes a physical layer with the on-board hardware system; an information layer for logical control, energy management, and communication coordination; and an application layer that can cope with different working environments is proposed. A detailed introduction to the basic architecture and management mode of each layer is provided along with information concerning the relevant technologies for coordinated operation. New ideas and approaches to improve the existing performance are proposed, and finally, combined with a background of smart and low-carbon cities, major application scenarios are envisioned.
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Research context

OpenAlex topics: Advanced Battery Technologies Research · Electric Vehicles and Infrastructure · Electric and Hybrid Vehicle Technologies

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References (100+)

Show source-provided references
1. Qazi A, Hussain F, Rahim N A, et al. Towards sustainable energy: A systematic review of renewable energy sources, technologies, and public opinions. IEEE Access, 2019, 7: 63837–6385110.1109/ACCESS.2019.2906402 ↗
2. Saeed M H, Fangzong W, Kalwar B A, et al. A review on micro-grids’ challenges & perspectives. IEEE Access, 2021, 9: 166502–16651710.1109/ACCESS.2021.3135083 ↗
3. Unamuno E, Barrena J A. Hybrid AC/DC microgrids—Part I: Review and classification of topologies. Renew Sustain Energy Rev, 2015, 52: 1251–125910.1016/j.rser.2015.07.194 ↗
4. Che L, Shahidehpour M, Alabdulwahab A, et al. Hierarchical coordination of a community microgrid with AC and DC microgrids. IEEE Trans Smart Grid, 2015, 6: 3042–305110.1109/TSG.2015.2398853 ↗
5. Samad T, Koch E, Stluka P. Automated demand response for smart buildings and microgrids: The state of the practice and research challenges. Proc IEEE, 2016, 104: 726–74410.1109/JPROC.2016.2520639 ↗
6. Burmester D, Rayudu R, Seah W, et al. A review of nanogrid topologies and technologies. Renew Sustain Energy Rev, 2017, 67: 760–77510.1016/j.rser.2016.09.073 ↗
7. Chan C C. The state of the art of electric, hybrid, and fuel cell vehicles. Proc IEEE, 2007, 95: 704–71810.1109/JPROC.2007.892489 ↗
8. Global EV Sales Reach 10 Percent of New Cars Sold in 2022. Available: https://www.teslarati.com/electric-vehicle-sales-2022
9. An B, Li Y, Guerrero J M, et al. Renewable energy integration in intelligent railway of China: Configurations, applications and issues. IEEE Intell Transp Syst Mag, 2021, 13: 13–3310.1109/MITS.2019.2953482 ↗
10. Safayatullah M, Elrais M T, Ghosh S, et al. A comprehensive review of power converter topologies and control methods for electric vehicle fast charging applications. IEEE Access, 2022, 10: 40753–4079310.1109/ACCESS.2022.3166935 ↗
11. Gautam A K, Tariq M, Pandey J P, et al. Hybrid sources powered electric vehicle configuration and integrated optimal power management strategy. IEEE Access, 2022, 10: 121684–12171110.1109/ACCESS.2022.3217771 ↗
12. Zhang Y, Fang J, Gao F, et al. Integrated high- and low-frequency current ripple suppressions in a single-phase onboard charger for EVS. IEEE Trans Power Electron, 2021, 36: 1717–172910.1109/TPEL.2020.3006174 ↗
13. Wang C, Wu Z, Li P. Research on key technologies of microgrid (in Chinese). Trans China Electrotech Soc, 2014, 29: 1–12
14. Li X, Guo L, Wang C. Key technologies of DC microgrids: An overview. Proc CSEE, 2016, 36: 2–17
15. Wang J. Research analysis and optimization of electric vehicle range (in Chinese). Automobile Applied Technology, 2022, 47: 12–18
16. Lucia O, Cvetkovic I, Sarnago H, et al. Design of home appliances for a DC-based nanogrid system: An induction range study case. IEEE J Emerg Sel Top Power Electron, 2013, 1: 315–32610.1109/JESTPE.2013.2283224 ↗
17. Jie L R, Naayagi R T. Nanogrid for energy aware buildings. In: 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia). Bangkok, 2019. 92–9610.1109/GTDAsia.2019.8715905 ↗
18. Boroyevich D, Cvetković I, Dong D. Future electronic power distribution systems a contemplative view. In: 2010 12th International Conference on Optimization of Electrical and Electronic Equipment. Brasov, 2010. 1369–138010.1109/OPTIM.2010.5510477 ↗
19. Adda R, Ray O, Mishra S. Implementation and control of switched boost inverter for DC nanogrid applications. In: 2012 IEEE Energy Conversion Congress and Exposition (ECCE). Raleigh, 2012. 3811–381810.1109/ECCE.2012.6342289 ↗
20. Lucia O, Cvetkovic I, Boroyevich D. Design of household appliances for a DC-based nanogrid system: An induction heating cooktop study case. In: 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC). Long Beach, 2013. 1576–158310.1109/APEC.2013.6520507 ↗
21. Oliveira D K, Djambolakdjian G S, Silva L N. Assessment on technical impacts regarding the massive penetration of nanogrids in electric power distribution systems. In: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe). Prague, 2022. 1–510.1109/EEEIC/ICPSEurope54979.2022.9854691 ↗
22. Yoomak S, Ngaopitakkul A. Development of sustainable nanogrid road lighting systems. IEEE Trans Intell Transp Syst, 2021, 22: 6682–669910.1109/TITS.2020.2994088 ↗
23. Dutta S, Chatterjee K. An AC-DC hybrid nanogrid system for PV and battery storage based futuristic buildings. IEEE J Emerg Sel Top Ind Electron, 2021, 2: 314–32310.1109/JESTIE.2021.3061956 ↗
24. Jie L R, Naayagi R T. Nanogrid for energy aware buildings. In: 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia). Bangkok, 2019. 92–9610.1109/GTDAsia.2019.8715905 ↗
25. Wu L, Kihinet W, Robelo E. Development of a solar-power-based nanogrid system for village huts in Haiti mountain area. In: 2016 North American Power Symposium (NAPS). Denver, 2016. 1–510.1109/NAPS.2016.7747858 ↗
26. Joseph S C, Ashok S, Dhanesh P R. Low voltage direct current (LVDC) nanogrid for home application. In: 2017 IEEE Region 10 Symposium (TENSYMP). Cochin, 2017. 1–510.1109/TENCONSpring.2017.8069993 ↗
27. Bhargavi K, Jayalaksmi N, Malagi S. Integration of plug-in electric vehicles in smart grid: A review. In: 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). Mathura, 2020. 214–21910.1109/PARC49193.2020.236595 ↗
28. Mobile Nanogrids Can Provide Electricity, Clean Water During a Disaster. Available: https://www.cnet.com/science/climate/mobile-nanogrids-can-provide-electricity-clean-water-during-a-disaster
29. Pilehva M S, Benzaquen J, Shadmandr M B. Modeling, control, and stability of smart loads toward grid of nanogrids for smart cities. In: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Washington, 2018. 4045–405010.1109/IECON.2018.8591494 ↗
30. Joseph S C, Ashok S, Dhanesh P R. An effective method of power management in DC nanogrid for building application. In: 2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). Kollam, 2017. 1–510.1109/SPICES.2017.8091303 ↗
31. Parajuli S, Tomar A, Nguyen P H. Coordinated control of DC-nanogrid cluster. In: 2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE). Trivandrum, 2022. 1–610.1109/PESGRE52268.2022.9715927 ↗
32. Xue Y, Yu X. Beyond smart grid-cyber-physical-social system in energy future. Proc IEEE, 2017, 105: 2290–229210.1109/JPROC.2017.2768698 ↗
33. Zhou Y, Yu F R, Chen J, et al. Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities. IEEE Commun Surv Tutorials, 2020, 22: 389–42510.1109/COMST.2019.2959013 ↗
34. Liu W W, Tang Z J, Liu X Y, et al. A review on in-situ monitoring and adaptive control technology for laser cladding remanufacturing. Procedia CIRP, 2017, 61: 235–24010.1016/j.procir.2016.11.217 ↗
35. Cheng K W E, Divakar B P, Wu H, et al. Battery-management system (BMS) and SOC development for electrical vehicles. IEEE Trans Veh Technol, 2011, 60: 76–8810.1109/TVT.2010.2089647 ↗
36. Overview of Motor Control in Electric Vehicles. Available: https://www.powerelectronicsnews.com/overview-of-motor-control-in-electric-vehicles
37. What Is VCU (Vehicle Control Unit), Purpose, Working, Drawbacks. Available: https://cselectricalandelectronics.com/what-is-vcu-vehicle-control-unit-purpose-working-drawbacks
38. Alam K M, Saini M, El Saddik A. Toward social internet of vehicles: Concept, architecture, and applications. IEEE Access, 2015, 3: 343–35710.1109/ACCESS.2015.2416657 ↗
39. Ni Y, Cai L, He J, et al. Toward reliable and scalable internet of vehicles: Performance analysis and resource management. Proc IEEE, 2020, 108: 324–34010.1109/JPROC.2019.2950349 ↗
40. Gao B, Guo L, Zheng Q, et al. Acceleration speed optimization of intelligent EVS in consideration of battery aging. IEEE Trans Veh Technol, 2018, 67: 8009–801810.1109/TVT.2018.2840531 ↗
41. Song Z, Yang T, Men B. Energy consumption analysis of pure electric vehicles based on different vehicle speeds (in Chinese). J Jiamusi Univ, 2018, 36: 607–610
42. Chukwu U C, Mahajan S M. Real-time management of power systems with V2G facility for smart-grid applications. IEEE Trans Sustain Energy, 2014, 5: 558–56610.1109/TSTE.2013.2273314 ↗
43. Deilami S, Masoum A S, Moses P S, et al. Real-time coordination of plug-in electric vehicle charging in smart grids to minimize power losses and improve voltage profile. IEEE Trans Smart Grid, 2011, 2: 456–46710.1109/TSG.2011.2159816 ↗
44. Umoren I A, Shakir M Z, Tabassum H. Resource efficient vehicle-to-grid (V2G) communication systems for electric vehicle enabled microgrids. IEEE Trans Intell Transp Syst, 2021, 22: 4171–418010.1109/TITS.2020.3023899 ↗
45. Nie Y, Wang X, Cheng K W E. Multi-area self-adaptive pricing control in smart city with EV user participation. IEEE Trans Intell Transp Syst, 2018, 19: 2156–216410.1109/TITS.2017.2759192 ↗
46. Wang B, Dehghanian P, Wang S, et al. Electrical safety considerations in large-scale electric vehicle charging stations. IEEE Trans Ind Applicat, 2019, 55: 6603–661210.1109/TIA.2019.2936474 ↗
47. Na T, Yuan X, Tang J, et al. A review of on-board integrated electric vehicles charger and a new single-phase integrated charger. CPSS TPEA, 2019, 4: 288–29810.24295/CPSSTPEA.2019.00027 ↗
48. Shen Y, Sun S, Zhang X. Overview of topology structure and control strategy of hybrid energy storage system for electric vehicles (in Chinese). Control Theory Appl, 2022, 39: 1426–1439
49. Shen J, Khaligh A. A supervisory energy management control strategy in a battery/ultracapacitor hybrid energy storage system. IEEE Trans Transp Electrific, 2015, 1: 223–23110.1109/TTE.2015.2464690 ↗
50. Ji J. Research on three-port active bridge DC/DC converter for electric vehicles (in Chinese). Dissertation for Master’s Degree. Hangzhou: Zhejiang University, 2017
51. Heydari S, Fajri P, Rasheduzzaman M, et al. Maximizing regenerative braking energy recovery of electric vehicles through dynamic low-speed cutoff point detection. IEEE Trans Transp Electrific, 2019, 5: 262–27010.1109/TTE.2019.2894942 ↗
52. Ahmad A, Alam M S, Chabaan R. A comprehensive review of wireless charging technologies for electric vehicles. IEEE Trans Transp Electrific, 2018, 4: 38–6310.1109/TTE.2017.2771619 ↗
53. Wang S, Bi S, Zhang Y J A, et al. Electrical vehicle charging station profit maximization: Admission, pricing, and online scheduling. IEEE Trans Sustain Energy, 2018, 9: 1722–173110.1109/TSTE.2018.2810274 ↗
54. Camurca L, Pereira T, Hoffmann F, et al. Analysis, limitations, and opportunities of modular multilevel converter-based architectures in fast charging stations infrastructures. IEEE Trans Power Electron, 2022, 37: 10747–1076010.1109/TPEL.2022.3167625 ↗
55. Zhang Y, Wang Y, Li F, et al. Efficient deployment of electric vehicle charging infrastructure: Simultaneous optimization of charging station placement and charging pile assignment. IEEE Trans Intell Transp Syst, 2021, 22: 6654–665910.1109/TITS.2020.2990694 ↗
56. Trends in Charging Infrastructure. Available: https://www.iea.org/reports/global-ev-outlook-2022/trends-in-charging-infrastructure
57. Elshora A, Gabbar H A. Design and analysis of multi-Input, singleoutput, nonisolated DC/DC converter for fast charging of electric vehicles. In: 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). Mauritius, 2021. 1–710.1109/ICECCME52200.2021.9591071 ↗
58. Athikkal S, Sundaramoorthy K, Sankar A. Development and performance analysis of dual-input DC-DC converters for DC microgrid application. IEEJ Trans Elec Engng, 2018, 13: 1034–104310.1002/tee.22661 ↗
59. Faraji R, Ding L, Esteki M, et al. Soft-switched single inductor single stage multiport bidirectional power converter for hybrid energy systems. IEEE Trans Power Electron, 2021, 36: 11298–1131510.1109/TPEL.2021.3074378 ↗
60. Lenka R K, Panda A K, Dash A R, et al. A unified control of grid-interactive off-board ev battery charger with improved power quality. IEEE Trans Transp Electrific, 2023, 9: 920–93310.1109/TTE.2022.3172354 ↗
61. Bai S, Liu X, Li T. Comprehensive evaluation of the large-scale charging pile based on the cloud platform. In: 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). Taiyuan, 2021. 685–69010.1109/EI252483.2021.9713332 ↗
62. Garofalaki Z, Kosmanos D, Moschoyiannis S, et al. Electric vehicle charging: a survey on the security issues and challenges of the open charge point protocol (OCPP). IEEE Commun Surv Tutorials, 2022, 24: 1504–153310.1109/COMST.2022.3184448 ↗
63. Kim Y S, Oh C Y, Sung W Y, et al. Topology and control scheme of OBC-LDC integrated power unit for electric vehicles. IEEE Trans Power Electron, 2017, 32: 1731–174310.1109/TPEL.2016.2555622 ↗
64. Yilmaz M, Krein P T. Review of integrated charging methods for plug-in electric and hybrid vehicles. In: 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012). Istanbul, 2012. 346–35110.1109/ICVES.2012.6294276 ↗
65. Pham P H, Nabih A, Wang S. 11-kW high-frequency high-density bidirectional OBC with PCB winding magnetic design. In: 2022 IEEE Applied Power Electronics Conference and Exposition (APEC). Houston, 2022. 1176–118110.1109/APEC43599.2022.9773735 ↗
66. Na T, Yuan X, Tang J. A review of on-Board integrated charger for electric vehicles and a new solution. In: 2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). Xi’an, 2019. 693–69910.1109/PEDG.2019.8807565 ↗
67. Gupta J, Singh B. An on-board charging system for light EVs with G2V and V2G power transfer capability. In: 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET). Arad, 2022. 34–3910.1109/GlobConET53749.2022.9872502 ↗
68. Umoren I A, Shakir M Z. EVaaS: A novel on-demand outage mitigation framework for electric vehicle enabled microgrids. In: IEEE Globecom Workshops (GC Wkshps). Abu Dhabi, 2018. 9–1310.1109/GLOCOMW.2018.8644219 ↗
69. Hu J, Ye C, Ding Y, et al. A distributed MPC to exploit reactive power V2G for real-time voltage regulation in distribution networks. IEEE Trans Smart Grid, 2022, 13: 576–58810.1109/TSG.2021.3109453 ↗
70. Lu X, Wang P, Niyato D, et al. Wireless charging technologies: Fundamentals, standards, and network applications. IEEE Commun Surv Tutorials, 2016, 18: 1413–145210.1109/COMST.2015.2499783 ↗
71. Theodoropoulos T V, Damousis I G, Amditis A J. Demand-side management ICT for dynamic wireless EV charging. IEEE Trans Ind Electron, 2016, 63: 6623–663010.1109/TIE.2016.2570198 ↗
72. Honda Accord Plug-in Hybrid/PluginCars. Accessed: Sep. 26, 2017. Available: http://www.plugincars.com/honda-accord-plug-hybrid
73. Jain P, Jain T. Impacts of G2V and V2G power on electricity demand profile. In: 2014 IEEE International Electric Vehicle Conference (IEVC). Florence, 2014. 1–810.1109/IEVC.2014.7056148 ↗
74. Ding P P, Bernard L, Pichon L, et al. Evaluation of electromagnetic fields in human body exposed to wireless inductive charging system. IEEE Trans Magn, 2014, 50: 1037–104010.1109/TMAG.2013.2284245 ↗
75. Elmahallawy M, Elfouly T, Alouani A, et al. A comprehensive review of lithium-ion batteries modeling, and state of health and remaining useful lifetime prediction. IEEE Access, 2022, 10: 119040–11907010.1109/ACCESS.2022.3221137 ↗
76. What’s the next for batteries. Available: https://www.technologyreview.com/2023/01/04/1066141/whats-next-for-batteries
77. BYD’s new blade battery set to redefine EV safety standards Available: https://en.byd.com/news/byds-new-blade-battery-set-to-redefine-ev-safety-standards
78. Nam G D, Vuong L D, Sung H J, et al. Conceptual design of an aviation propulsion system using hydrogen fuel cell and superconducting motor. IEEE Trans Appl Supercond, 2021, 31: 1–710.1109/TASC.2021.3064526 ↗
79. Designing better batteries for electric vehicles. Available: https://news.mit.edu/2021/designing-better-batteries-electric-vehicles-0816
80. Kumar M, Yadav V K, Mathuriya K. A brief review on cell balancing for Li-ion battery pack (BMS). In: 2022 IEEE 10th Power India International Conference (PIICON). New Delhi, 2022. 1–610.1109/PIICON56320.2022.10045109 ↗
81. Qays M O, Buswig Y, Hossain M L. Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: A review. CSEE J Power Energy Syst, 2022, 8: 105–114
82. Sarin C R, Mani G. An intelligent BMS with probabilistic MO-GSA based CDMAS integrating edge controller analytics. IEEE Access, 2022, 10: 115802–11581410.1109/ACCESS.2022.3218683 ↗
83. Dini A, Pirouzi S, Norouzi M. Hybrid stochastic/robust scheduling of the grid-connected microgrid based on the linear coordinated power management strategy. Sustain Energy Grids Netw, 2020, 24: 10040010.1016/j.segan.2020.100400 ↗
84. Quiñones F, Goinhex J, Calarco N. Validation analysis of a distributed battery management system implementation: Invited paper. In: 2023 Argentine Conference on Electronics (CAE). Cordoba, 2023. 123–12710.1109/CAE56623.2023.10086974 ↗
85. Şahin M. Modelling of supercapacitors based on simplified equivalent circuit. CPSS TPEA, 2021, 6: 31–3910.24295/CPSSTPEA.2021.00003 ↗
86. Muralee Gopi C V V, Kim H J. Design of supercapacitor for electric and hybrid vehicles: Supercapacitor. In: 2018 International Conference on Information and Communication Technology Robotics (ICT-ROBOT). Busan, 2018. 1–310.1109/ICT-ROBOT.2018.8549900 ↗
87. Ju F, Zhang Q, Deng W. Review of structures and control of battery-supercapacitor hybrid energy storage system for electric vehicles. In: 2014 IEEE International Conference on Automation Science and Engineering (CASE). New Taipei, 2014. 143–14810.1109/CoASE.2014.6899318 ↗
88. Song Z, Li J, Han X, et al. Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehicles. Appl Energy, 2014, 135: 212–22410.1016/j.apenergy.2014.06.087 ↗
89. Mamun A A, Liu Z, Rizzo D M, et al. An integrated design and control optimization framework for hybrid military vehicle using lithium-ion battery and supercapacitor as energy storage devices. IEEE Trans Transp Electrific, 2019, 5: 239–25110.1109/TTE.2018.2869038 ↗
90. Barré A, Suard F, Gérard M, et al. Electric vehicles performance estimation through a patterns extraction and classification methodology. J Power Sources, 2015, 273: 670–67910.1016/j.jpowsour.2014.09.098 ↗
91. Liu Z, Onori S, Ivanco A. Synthesis and experimental validation of battery aging test profiles based on real-world duty cycles for 48-V mild hybrid vehicles. IEEE Trans Veh Technol, 2017, 66: 8702–870910.1109/TVT.2017.2717187 ↗
92. Zhong Z, Yang Z, Fang X, et al. Hierarchical optimization of an on-Board supercapacitor energy storage system considering train electric braking characteristics and system loss. IEEE Trans Veh Technol, 2020, 69: 2576–258710.1109/TVT.2020.2967467 ↗
93. Chotia I, Chowdhury S. Battery storage and hybrid battery supercapacitor storage systems: A comparative critical review. In: 2015 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA). Bangkok, 2015. 1–610.1109/ISGT-Asia.2015.7387080 ↗
94. Song Z, Hofmann H, Li J, et al. The optimization of a hybrid energy storage system at subzero temperatures: Energy management strategy design and battery heating requirement analysis. Appl Energy, 2015, 159: 576–58810.1016/j.apenergy.2015.08.120 ↗
95. Jia J, Wang G, Cham Y T. Electrical characteristic study of a hybrid PEMFC and ultracapacitor system. IEEE Trans Ind Electron, 2009, 57: 1945–1953
96. Kuperman A, Aharon I. Battery–ultracapacitor hybrids for pulsed current loads: A review. Renew Sustain Energy Rev, 2011, 15: 981–99210.1016/j.rser.2010.11.010 ↗
97. Ebrahimi J, Salari O, Eren S, et al. Efficiency Improved multi-source inverter for hybrid energy storage systems in electric vehicle application. IEEE Trans Power Electron, 2021, 37: 1982–199710.1109/TPEL.2021.3104759 ↗
98. Wu Z, Zhu J, Sun X. Research on topology design and configuration optimization of hybrid energy storage system. In: 2022 IEEE 5th International Electrical and Energy Conference (CIEEC). Nangjing, 2022. 3620–362510.1109/CIEEC54735.2022.9846339 ↗
99. Hu S, Liang Z, Fan D, et al. Hybrid ultracapacitor-battery energy storage system based on quasi-Z-source topology and enhanced frequency dividing coordinated control for EV. IEEE Trans Power Electron, 2016, 31: 7598–761010.1109/TPEL.2016.2518749 ↗
100. Liu S, Xie X, Yang L. Analysis, modeling and implementation of a switching bi-directional buck-boost converter based on electric vehicle hybrid energy storage for V2G system. IEEE Access, 2020, 8: 65868–6587910.1109/ACCESS.2020.2985772 ↗