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Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems

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  • Ghorbanzadeh, Milad
  • Astaneh, Majid
  • Golzar, Farzin

Abstract

This work presents a mathematical framework for calculating Li-ion batteries useful life by coupling electrochemical and thermal aging models. The model takes into account the impact of operating conditions of real wind-battery power stations including charge/discharge profiles and control strategies to predict battery degradation over time. The model estimates battery end of discharge capacity with a RRSME of 1.1% in comparison with experimental data. In addition, the maximum relative error to predict battery voltage in the plateau region of charge/discharge curves is 1.3%. Results show a remarkable impact of operating conditions on battery bank lifetime. Analyzing different case studies predicts a wide range of 4.6–11.6 years for battery longevity. Moreover, the model shows that controlling the maximum allowed battery state of charge set point improves battery bank lifetime up to 63%. Hence, the proposed model is a powerful decision support tool to evaluate the impact of off-grid wind-battery systems operating conditions on the battery lifetime.

Suggested Citation

  • Ghorbanzadeh, Milad & Astaneh, Majid & Golzar, Farzin, 2019. "Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems," Energy, Elsevier, vol. 166(C), pages 1194-1206.
    • Handle: RePEc:eee:energy:v:166:y:2019:i:c:p:1194-1206
    DOI: 10.1016/j.energy.2018.10.120
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