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Sensitivity Analysis of Battery Aging for Model-Based PHEV Use Scenarios

Author

Listed:
  • Tejas-Dilipsing Patil

    (LICIT-ECO7, Gustave Eiffel University, ENTPE, F-69675 Lyon, France
    Current address: Gustave Eiffel University, 25 Avenue Francois Mitterrand, F-69500 Bron, France.
    These authors contributed equally to this work.)

  • Emmanuel Vinot

    (LICIT-ECO7, Gustave Eiffel University, ENTPE, F-69675 Lyon, France
    Current address: Gustave Eiffel University, 25 Avenue Francois Mitterrand, F-69500 Bron, France.
    These authors contributed equally to this work.)

  • Simone Ehrenberger

    (German Aerospace Center, Institute of Vehicle Concepts, 70569 Stuttgart, Germany)

  • Rochdi Trigui

    (LICIT-ECO7, Gustave Eiffel University, ENTPE, F-69675 Lyon, France)

  • Eduardo Redondo-Iglesias

    (LICIT-ECO7, Gustave Eiffel University, ENTPE, F-69675 Lyon, France)

Abstract

Battery lifetime is an important parameter in the life cycle assessment (LCA) of a plug-in hybrid-electric vehicle (PHEV). This paper aims to study the impact of various parameters on the battery aging of a PHEV. For this purpose, model-based use cases are generated, the outputs of which are the daily driven distances for a period of one year, recharge scenarios, and battery temperature. A combined aging model (calendar and cycling aging) is used to calculate the capacity lost by the battery at the end of one year of use. The thermal model of the battery is using an electro-thermal coupling equation, for which the ambient temperature is modeled using daily minimum and maximum temperature data varying throughout the year for different cities. Finally, a sensitivity analysis is carried out using the conditioned variance method to identify the most important input parameters which largely affect the output of this study. The results of this study show that battery size, annual mileage, external temperature, and charging behavior are the most important parameters to be considered in the aging study of the battery of a PHEV personal car.

Suggested Citation

  • Tejas-Dilipsing Patil & Emmanuel Vinot & Simone Ehrenberger & Rochdi Trigui & Eduardo Redondo-Iglesias, 2023. "Sensitivity Analysis of Battery Aging for Model-Based PHEV Use Scenarios," Energies, MDPI, vol. 16(4), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1749-:d:1063500
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    References listed on IDEAS

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