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Lithium-ion batteries: Evaluation study of different charging methodologies based on aging process

Author

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  • Abdel Monem, Mohamed
  • Trad, Khiem
  • Omar, Noshin
  • Hegazy, Omar
  • Mantels, Bart
  • Mulder, Grietus
  • Van den Bossche, Peter
  • Van Mierlo, Joeri

Abstract

In this paper, high power 7Ah LiFePO4-based cells (LFP) have been used to investigate the impact of the charging methodology on the battery’s lifetime. Three charging techniques have been used: Constant Current (CC), Constant Current–Constant Voltage (CC–CV) and Constant Current–Constant Voltage with Negative Pulse (CC–CVNP). A comparative study between these techniques is presented in this research. For this purpose, a characterization of the batteries has been performed using capacity test and electrochemical impedance spectroscopy (EIS). As expected the obtained results showed that the battery’s aging rate depends on the charging methodology. Indeed, it has been shown that a combination of low amplitude and fewest number of negative pulses has a positive effect on battery’s capacity fading. From the impedance measurements, the results have demonstrated that the CC–CVNP technique with low amplitude and fewest number of negative pulses is more effective than the other techniques in reducing the concentration polarization resistance and the diffusion time constant. This research has provided an extended analysis to select the proper charging methodology that can be used to design an enhanced charging system.

Suggested Citation

  • Abdel Monem, Mohamed & Trad, Khiem & Omar, Noshin & Hegazy, Omar & Mantels, Bart & Mulder, Grietus & Van den Bossche, Peter & Van Mierlo, Joeri, 2015. "Lithium-ion batteries: Evaluation study of different charging methodologies based on aging process," Applied Energy, Elsevier, vol. 152(C), pages 143-155.
    • Handle: RePEc:eee:appene:v:152:y:2015:i:c:p:143-155
    DOI: 10.1016/j.apenergy.2015.02.064
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    References listed on IDEAS

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    1. Waag, Wladislaw & Sauer, Dirk Uwe, 2013. "Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination," Applied Energy, Elsevier, vol. 111(C), pages 416-427.
    2. Xiong, Rui & Sun, Fengchun & Chen, Zheng & He, Hongwen, 2014. "A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles," Applied Energy, Elsevier, vol. 113(C), pages 463-476.
    3. Xiong, Rui & Sun, Fengchun & Gong, Xianzhi & Gao, Chenchen, 2014. "A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles," Applied Energy, Elsevier, vol. 113(C), pages 1421-1433.
    4. Omar, Noshin & Monem, Mohamed Abdel & Firouz, Yousef & Salminen, Justin & Smekens, Jelle & Hegazy, Omar & Gaulous, Hamid & Mulder, Grietus & Van den Bossche, Peter & Coosemans, Thierry & Van Mierlo, J, 2014. "Lithium iron phosphate based battery – Assessment of the aging parameters and development of cycle life model," Applied Energy, Elsevier, vol. 113(C), pages 1575-1585.
    5. Waag, Wladislaw & Käbitz, Stefan & Sauer, Dirk Uwe, 2013. "Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application," Applied Energy, Elsevier, vol. 102(C), pages 885-897.
    6. Noshin Omar & Mohamed Daowd & Peter van den Bossche & Omar Hegazy & Jelle Smekens & Thierry Coosemans & Joeri van Mierlo, 2012. "Rechargeable Energy Storage Systems for Plug-in Hybrid Electric Vehicles—Assessment of Electrical Characteristics," Energies, MDPI, vol. 5(8), pages 1-37, August.
    7. Hu, Chao & Jain, Gaurav & Tamirisa, Prabhakar & Gorka, Tom, 2014. "Method for estimating capacity and predicting remaining useful life of lithium-ion battery," Applied Energy, Elsevier, vol. 126(C), pages 182-189.
    8. Hu, Chao & Youn, Byeng D. & Chung, Jaesik, 2012. "A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation," Applied Energy, Elsevier, vol. 92(C), pages 694-704.
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