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Joseph Garvey edited this page Jun 6, 2024 · 4 revisions

Project Objectives from LiFETIME

Objective One: Review existing literature on lithium-ion cell modelling. Consider metrics such as model complexity, applicability to real-world cells, accuracy, and flexibility (i.e. is the model specific to one cell, or could it be used generically)

Objective Two: Building on the knowledge gained from literature, develop a model suitable for practical analysis of real-world cells. The goal here is to produce a model which captures the complexity of Li-Ion cells well enough for sufficiently accurate modelling (you will need to decide what ‘sufficient’ means), without being so complex that it’s either highly specific to one cell, or impractical to measure/infer parameters from a cell. This could be achieved by replicating/combining elements of models from literature or developing a novel model.

Objective Three: Validate the model against cell cycling data and discuss how well it captures real cell behaviour, consider what trade-offs were necessary for practical model implementation. What do you need to be able to measure/infer from a real cell for a suitably accurate model? Consider evaluating the model for a range of possible uses e.g. on-device implementation, power requirements, synthetic data generation, unsupervised machine learning coupling.

References supplied by LiFETIME

  1. Westerhoff, U., Kurbach, K., Lienesch, F. & Kurrat, M. Analysis of Lithium-Ion Battery Models Based on Electrochemical Impedance Spectroscopy. Energy Technol. 4, 1620–1630 (2016).
  2. Itou, Y. & Ukyo, Y. Performance of LiNiCoO2 materials for advanced lithium-ion batteries. J. Power Sources 146, 39–44 (2005).
  3. Kong, W., Li, H., Huang, X. & Chen, L. Gas evolution behaviors for several cathode materials in lithium-ion batteries. J. Power Sources 142, 285–291 (2005).
  4. Wang, Q., Sun, J., Yao, X. & Chen, C. Thermal stability of LiPF6/EC + DEC electrolyte with charged electrodes for lithium ion batteries. Thermochim. Acta 437, 12–16 (2005).
  5. Lohmann, N., Weßkamp, P., Haußmann, P., Melbert, J. & Musch, T. Electrochemical impedance spectroscopy for lithium-ion cells: Test equipment and procedures for aging and fast characterization in time and frequency domain. J. Power Sources 273, 613–623 (2015).
  6. Dubarry, M. & Anseán, D. Best practices for incremental capacity analysis. Front. Energy Res. 10, (2022).
  7. Fly, A. & Chen, R. Rate dependency of incremental capacity analysis (dQ/dV) as a diagnostic tool for lithium-ion batteries. J. Energy Storage 29, 101329 (2020).
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