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Optimization on charging of the direct hybrid lithium-ion battery and supercapacitor for high power application through resistance balancing

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  • Dong, Ao
  • Ma, Ruifei
  • Deng, Yelin

Abstract

The purpose of this study is to fill the research gap of direct parallel charging for batteries and supercapacitors. However, a simple parallel connection between the two will create a disproportionate current distribution and limit the effective capacity utilization. Thus, two approaches have been evaluated in this study to maximize the capacity utilization under large current applications: pulse charging and constant current charging under fine-tuning the resistance distribution. The results show the fine-tuning resistance method is superior to pulse charging in terms of effective charging capacity and charging time. Compared with the pulse charging (50% duty cycle) at 2.75C, the fine-tuning resistance method (50 mΩ) can shorten the charging time by 10.6 min and increase the charging capacity by 30.5%. Compared with the constant current charging (CC), the charging time is only prolonged by 6.8 min with this method, but the charging capacity is increased by 48.4%, reaching 95.1% of the rated capacity for the hybrid system. As for the battery life within the hybrid system, compared with the same capacity battery pack with the exact total charging current, the fine-tuning resistance method can extend the battery life by 8.2% at 2.75C and 14.2% at 3.75C.

Suggested Citation

  • Dong, Ao & Ma, Ruifei & Deng, Yelin, 2023. "Optimization on charging of the direct hybrid lithium-ion battery and supercapacitor for high power application through resistance balancing," Energy, Elsevier, vol. 273(C).
    • Handle: RePEc:eee:energy:v:273:y:2023:i:c:s0360544223006278
    DOI: 10.1016/j.energy.2023.127233
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    as
    1. Song, Ziyou & Li, Jianqiu & Hou, Jun & Hofmann, Heath & Ouyang, Minggao & Du, Jiuyu, 2018. "The battery-supercapacitor hybrid energy storage system in electric vehicle applications: A case study," Energy, Elsevier, vol. 154(C), pages 433-441.
    2. Zhu, Tao & Wills, Richard G.A. & Lot, Roberto & Kong, Xiaodan & Yan, Xingda, 2021. "Optimal sizing and sensitivity analysis of a battery-supercapacitor energy storage system for electric vehicles," Energy, Elsevier, vol. 221(C).
    3. Wang, Yujie & Liu, Chang & Pan, Rui & Chen, Zonghai, 2017. "Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator," Energy, Elsevier, vol. 121(C), pages 739-750.
    4. Song, Ziyou & Li, Jianqiu & Han, Xuebing & Xu, Liangfei & Lu, Languang & Ouyang, Minggao & Hofmann, Heath, 2014. "Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehicles," Applied Energy, Elsevier, vol. 135(C), pages 212-224.
    5. Wang, Yujie & Li, Mince & Chen, Zonghai, 2020. "Experimental study of fractional-order models for lithium-ion battery and ultra-capacitor: Modeling, system identification, and validation," Applied Energy, Elsevier, vol. 278(C).
    6. Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Han, Xuebing & Ouyang, Minggao, 2015. "Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach," Applied Energy, Elsevier, vol. 139(C), pages 151-162.
    7. Yanliang Liang & Hui Dong & Doron Aurbach & Yan Yao, 2020. "Publisher Correction: Current status and future directions of multivalent metal-ion batteries," Nature Energy, Nature, vol. 5(10), pages 822-822, October.
    8. Wieczorek, Maciej & Lewandowski, Mirosław, 2017. "A mathematical representation of an energy management strategy for hybrid energy storage system in electric vehicle and real time optimization using a genetic algorithm," Applied Energy, Elsevier, vol. 192(C), pages 222-233.
    9. Kuperman, Alon & Aharon, Ilan, 2011. "Battery-ultracapacitor hybrids for pulsed current loads: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 981-992, February.
    10. Yuan, Xueliang & Liu, Xin & Zuo, Jian, 2015. "The development of new energy vehicles for a sustainable future: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 298-305.
    11. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine," Applied Energy, Elsevier, vol. 254(C).
    12. Jing, Wenlong & Lai, Chean Hung & Wong, Wallace S.H. & Wong, M.L. Dennis, 2018. "A comprehensive study of battery-supercapacitor hybrid energy storage system for standalone PV power system in rural electrification," Applied Energy, Elsevier, vol. 224(C), pages 340-356.
    13. Satyam Panchal & Krishna Gudlanarva & Manh-Kien Tran & Roydon Fraser & Michael Fowler, 2020. "High Reynold’s Number Turbulent Model for Micro-Channel Cold Plate Using Reverse Engineering Approach for Water-Cooled Battery in Electric Vehicles," Energies, MDPI, vol. 13(7), pages 1-25, April.
    14. Lin, Qian & Wang, Jun & Xiong, Rui & Shen, Weixiang & He, Hongwen, 2019. "Towards a smarter battery management system: A critical review on optimal charging methods of lithium ion batteries," Energy, Elsevier, vol. 183(C), pages 220-234.
    15. Naseri, F. & Karimi, S. & Farjah, E. & Schaltz, E., 2022. "Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    16. Veneri, Ottorino & Capasso, Clemente & Patalano, Stanislao, 2018. "Experimental investigation into the effectiveness of a super-capacitor based hybrid energy storage system for urban commercial vehicles," Applied Energy, Elsevier, vol. 227(C), pages 312-323.
    17. Liu, Chunli & Li, Qiang & Wang, Kai, 2021. "State-of-charge estimation and remaining useful life prediction of supercapacitors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    18. Yanliang Liang & Hui Dong & Doron Aurbach & Yan Yao, 2020. "Current status and future directions of multivalent metal-ion batteries," Nature Energy, Nature, vol. 5(9), pages 646-656, September.
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    2. Lu, Xin & Chen, Ning & Li, Hui & Guo, Shiyu & Chen, Zengtao, 2023. "Simulation of the temperature distribution of lithium-ion battery module considering the time-delay effect of the porous electrodes," Energy, Elsevier, vol. 284(C).

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