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Non-isothermal Ragone plots of Li-ion cells from datasheet and galvanostatic discharge tests

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Listed:
  • Zhang, Yuan Ci
  • Briat, Olivier
  • Boulon, Loïc
  • Deletage, Jean-Yves
  • Martin, Cyril
  • Coccetti, Fabio
  • Vinassa, Jean-Michel

Abstract

Ragone plot is a conventional tool to compare different energy storage systems in terms of energy and power densities. The selection of the most suitable Li-ion technology for a given application is usually based on the specific energy and power extracted from datasheets at ambient temperatures (25 °C). However, these values are highly temperature-dependent. This study investigates experimentally and via numerical simulations a quantification of the energy and power densities for two different Li-ion chemistry cells in a wide operating temperature range. The experimental results reveal that these values determined from constant current discharge are approximately 15% higher than those determined for a constant power discharge. Therefore, a simple and efficient coupled electrical–thermal model based on an equivalent circuit model (ECM) is proposed, which is able to estimate the voltage, temperature, and available discharged energy of 18,650 Li-ion cells with a good accuracy. Moreover, all parameters in the model can be directly identified with manufacturer’s datasheets at 25 °C. Then, the proposed Ragone plot model can be extended to wider temperature and power ranges. The relative error of the simulated energy density is below 2% for both technologies for all operating conditions from – 20 °C to 55 °C. Thus, a non-isothermal Ragone plot is established by considering the thermal effect for the first time. The proposed method could be employed as a conception aid tool for the selection of Li-ion cells in a system design process.

Suggested Citation

  • Zhang, Yuan Ci & Briat, Olivier & Boulon, Loïc & Deletage, Jean-Yves & Martin, Cyril & Coccetti, Fabio & Vinassa, Jean-Michel, 2019. "Non-isothermal Ragone plots of Li-ion cells from datasheet and galvanostatic discharge tests," Applied Energy, Elsevier, vol. 247(C), pages 703-715.
  • Handle: RePEc:eee:appene:v:247:y:2019:i:c:p:703-715
    DOI: 10.1016/j.apenergy.2019.04.027
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    1. Catenaro, Edoardo & Rizzo, Denise M. & Onori, Simona, 2021. "Experimental analysis and analytical modeling of Enhanced-Ragone plot," Applied Energy, Elsevier, vol. 291(C).

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