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This study introduces a thermodynamically consistent open-circuit voltage (OCV) model for batteries, ensuring adherence to the second law of thermodynamics. This new model integrates seamlessly with battery modeling software, improving accuracy for lithium-ion battery performance predictions.

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Area of Science:

  • Battery Technology
  • Thermodynamics
  • Computational Materials Science

Background:

  • Open-circuit voltage (OCV) models are crucial for battery performance simulations.
  • Current empirical OCV models often disregard thermodynamic principles for fitting flexibility.
  • The second law of thermodynamics mandates monotonic OCV behavior with state-of-charge (SOC).

Purpose of the Study:

  • To develop a thermodynamically consistent OCV model that adheres to the second law of thermodynamics.
  • To enable efficient parameter optimization for OCV models using gradient-based methods.
  • To integrate the new OCV model into open-source battery modeling software.

Main Methods:

  • Proposed a thermodynamically consistent OCV model using differentiable thermodynamic modeling.
  • Formulated the common-tangent condition as a fixed-point problem.
  • Applied the implicit function theorem for gradient-based parameter optimization.
  • Integrated the model with PyBaMM for pseudo-2D discharge simulations.

Main Results:

  • Demonstrated the model's applicability to 12 popular electrode materials.
  • Showcased seamless integration with the PyBaMM battery modeling software.
  • Validated the model's thermodynamic consistency and efficiency in parameter optimization.

Conclusions:

  • Thermodynamically consistent OCV models are essential for accurate Li-ion battery modeling.
  • The proposed model offers a simple and efficient approach to OCV modeling.
  • This work advocates for the mandatory use of thermodynamically consistent OCV models in future battery research.