IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v58y2013icp707-713.html
   My bibliography  Save this article

The effects of FEC (fluoroethylene carbonate) electrolyte additive on the lithium storage properties of NiO (nickel oxide) nanocuboids

Author

Listed:
  • Seng, Kuok Hau
  • Li, Li
  • Chen, Da-Peng
  • Chen, Zhi Xin
  • Wang, Xiao-Lin
  • Liu, Hua Kun
  • Guo, Zai Ping

Abstract

Nanocuboid shaped NiO (nickel oxide) has been synthesized using an optical floating zone furnace. It was found that the nanocuboids exhibit single crystalline nature, and have clean and sharp edges. Furthermore, the NiO nanocuboids were tested for their electrochemical performances as anode material for LIBs (lithium-ion batteries) in a coin-type half cell. The effects of FEC (fluoroethylene carbonate) additive on the lithium storage performance were also investigated, which is the first of such studies for transition metal oxides. It was found that FEC has a positive effect on the cycling stability and also improves the rate performances of the nanocuboids. The capacity recorded at 0.1C (100mAg−1) after 50 charge/discharge cycles is 1400mAhg−1. Lastly, the NiO nanocuboids can achieve very high rate capability of 12C (12Ag−1) with capacity of 312mAhg−1.

Suggested Citation

  • Seng, Kuok Hau & Li, Li & Chen, Da-Peng & Chen, Zhi Xin & Wang, Xiao-Lin & Liu, Hua Kun & Guo, Zai Ping, 2013. "The effects of FEC (fluoroethylene carbonate) electrolyte additive on the lithium storage properties of NiO (nickel oxide) nanocuboids," Energy, Elsevier, vol. 58(C), pages 707-713.
  • Handle: RePEc:eee:energy:v:58:y:2013:i:c:p:707-713
    DOI: 10.1016/j.energy.2013.06.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544213005094
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2013.06.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. P. Poizot & S. Laruelle & S. Grugeon & L. Dupont & J-M. Tarascon, 2000. "Nano-sized transition-metal oxides as negative-electrode materials for lithium-ion batteries," Nature, Nature, vol. 407(6803), pages 496-499, September.
    2. Amjad, Shaik & Rudramoorthy, R. & Neelakrishnan, S. & Sri Raja Varman, K. & Arjunan, T.V., 2011. "Evaluation of energy requirements for all-electric range of plug-in hybrid electric two-wheeler," Energy, Elsevier, vol. 36(3), pages 1623-1629.
    3. J.-M. Tarascon & M. Armand, 2001. "Issues and challenges facing rechargeable lithium batteries," Nature, Nature, vol. 414(6861), pages 359-367, November.
    4. Avril, S. & Arnaud, G. & Florentin, A. & Vinard, M., 2010. "Multi-objective optimization of batteries and hydrogen storage technologies for remote photovoltaic systems," Energy, Elsevier, vol. 35(12), pages 5300-5308.
    5. Weng, Guoming & Su, Yuzhi & Liu, Zhaoqing & Zhang, Jianhua & Dong, Wen & Xu, Changwei, 2009. "Electrochemical properties of novel organodisulfide poly 1,2-bis(thiophen-3-ylmethyl)disulfane as cathode material for secondary lithium batteries," Energy, Elsevier, vol. 34(9), pages 1351-1354.
    6. Sun, Fengchun & Hu, Xiaosong & Zou, Yuan & Li, Siguang, 2011. "Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles," Energy, Elsevier, vol. 36(5), pages 3531-3540.
    7. He, Hongwen & Zhang, Xiaowei & Xiong, Rui & Xu, Yongli & Guo, Hongqiang, 2012. "Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles," Energy, Elsevier, vol. 39(1), pages 310-318.
    8. Vynnycky, M., 2011. "Analysis of a model for the operation of a vanadium redox battery," Energy, Elsevier, vol. 36(4), pages 2242-2256.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiang, Zhibin & Chen, Ling & Zhang, Wenguang & Chen, Shiyu & Jian, Xiying & Liu, Xiang & Chen, Hongyu & Guo, Chunlei & Li, Weishan, 2021. "Sandwich-like NOCC@S8/rGO composite as cathode for high energy lithium-sulfur batteries," Energy, Elsevier, vol. 220(C).
    2. Shabani, Masoume & Wallin, Fredrik & Dahlquist, Erik & Yan, Jinyue, 2023. "The impact of battery operating management strategies on life cycle cost assessment in real power market for a grid-connected residential battery application," Energy, Elsevier, vol. 270(C).
    3. Wang, Hongqiang & Li, Sha & Li, Dan & Chen, Zhixin & Liu, Hua Kun & Guo, Zaiping, 2014. "TiO2 coated three-dimensional hierarchically ordered porous sulfur electrode for the lithium/sulfur rechargeable batteries," Energy, Elsevier, vol. 75(C), pages 597-602.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Zunxian & Meng, Qing & Guo, Zaiping & Yu, Xuebin & Guo, Tailiang & Zeng, Rong, 2013. "Highly reversible lithium storage in uniform Li4Ti5O12/carbon hybrid nanowebs as anode material for lithium-ion batteries," Energy, Elsevier, vol. 55(C), pages 925-932.
    2. Yang, Zunxian & Meng, Qing & Yan, Wenhuan & Lv, Jun & Guo, Zaiping & Yu, Xuebin & Chen, Zhixin & Guo, Tailiang & Zeng, Rong, 2015. "Novel three-dimensional tin/carbon hybrid core/shell architecture with large amount of solid cross-linked micro/nanochannels for lithium ion battery application," Energy, Elsevier, vol. 82(C), pages 960-967.
    3. Kim, Jonghoon & Cho, B.H., 2013. "Screening process-based modeling of the multi-cell battery string in series and parallel connections for high accuracy state-of-charge estimation," Energy, Elsevier, vol. 57(C), pages 581-599.
    4. Pang, Haidong & Yang, Zunxian & Lv, Jun & Yan, Wenhuan & Guo, Tailiang, 2014. "Novel MnOx@Carbon hybrid nanowires with core/shell architecture as highly reversible anode materials for lithium ion batteries," Energy, Elsevier, vol. 69(C), pages 392-398.
    5. Cuma, Mehmet Ugras & Koroglu, Tahsin, 2015. "A comprehensive review on estimation strategies used in hybrid and battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 517-531.
    6. Singh, Karanjot & Tjahjowidodo, Tegoeh & Boulon, Loïc & Feroskhan, Mir, 2022. "Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium," Energy, Elsevier, vol. 239(PA).
    7. Zahid, Taimoor & Xu, Kun & Li, Weimin & Li, Chenming & Li, Hongzhe, 2018. "State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles," Energy, Elsevier, vol. 162(C), pages 871-882.
    8. Fei Feng & Rengui Lu & Guo Wei & Chunbo Zhu, 2015. "Online Estimation of Model Parameters and State of Charge of LiFePO 4 Batteries Using a Novel Open-Circuit Voltage at Various Ambient Temperatures," Energies, MDPI, vol. 8(4), pages 1-27, April.
    9. Hannan, M.A. & Lipu, M.S.H. & Hussain, A. & Mohamed, A., 2017. "A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 834-854.
    10. Muhammad Umair Ali & Amad Zafar & Sarvar Hussain Nengroo & Sadam Hussain & Muhammad Junaid Alvi & Hee-Je Kim, 2019. "Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation," Energies, MDPI, vol. 12(3), pages 1-33, January.
    11. Zhao, Xiaowei & Cai, Yishan & Yang, Lin & Deng, Zhongwei & Qiang, Jiaxi, 2017. "State of charge estimation based on a new dual-polarization-resistance model for electric vehicles," Energy, Elsevier, vol. 135(C), pages 40-52.
    12. Li, Yanwen & Wang, Chao & Gong, Jinfeng, 2017. "A multi-model probability SOC fusion estimation approach using an improved adaptive unscented Kalman filter technique," Energy, Elsevier, vol. 141(C), pages 1402-1415.
    13. Xing, Yinjiao & He, Wei & Pecht, Michael & Tsui, Kwok Leung, 2014. "State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures," Applied Energy, Elsevier, vol. 113(C), pages 106-115.
    14. Shuqing Li & Chuankun Ju & Jianliang Li & Ri Fang & Zhifei Tao & Bo Li & Tingting Zhang, 2021. "State-of-Charge Estimation of Lithium-Ion Batteries in the Battery Degradation Process Based on Recurrent Neural Network," Energies, MDPI, vol. 14(2), pages 1-21, January.
    15. Miquel Martí-Florences & Andreu Cecilia & Ramon Costa-Castelló, 2023. "Modelling and Estimation in Lithium-Ion Batteries: A Literature Review," Energies, MDPI, vol. 16(19), pages 1-36, September.
    16. Hu, Xiaosong & Li, Shengbo Eben & Jia, Zhenzhong & Egardt, Bo, 2014. "Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles," Energy, Elsevier, vol. 64(C), pages 953-960.
    17. Bai, Hongwei & Liu, Zhaoyang & Sun, Darren Delai & Chan, Siew Hwa, 2014. "Hierarchical 3D micro-/nano-V2O5 (vanadium pentoxide) spheres as cathode materials for high-energy and high-power lithium ion-batteries," Energy, Elsevier, vol. 76(C), pages 607-613.
    18. Dai, Haifeng & Jiang, Bo & Hu, Xiaosong & Lin, Xianke & Wei, Xuezhe & Pecht, Michael, 2021. "Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    19. Kang, Jianqiang & Yan, Fuwu & Zhang, Pei & Du, Changqing, 2014. "Comparison of comprehensive properties of Ni-MH (nickel-metal hydride) and Li-ion (lithium-ion) batteries in terms of energy efficiency," Energy, Elsevier, vol. 70(C), pages 618-625.
    20. Li, Yanwen & Wang, Chao & Gong, Jinfeng, 2016. "A combination Kalman filter approach for State of Charge estimation of lithium-ion battery considering model uncertainty," Energy, Elsevier, vol. 109(C), pages 933-946.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:58:y:2013:i:c:p:707-713. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.