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19 of 28papers in Valentin's battery bibliography are read in full

Virtual Valentin answers only from the full-text papers, which are open access. The other 9 are paywalled or had no open-access copy, so it knows only their titles: it can point you to them but can't say what they found. Wrote one of them, or know a free copy? Help us add it.

The work in brief

Valentin's work centres on physics-based mathematical models of batteries and on making them fast and usable. The earliest papers (2019) develop porous-electrode models of lead-acid batteries and use asymptotic analysis to reduce them to models that run at speeds approaching equivalent circuits, and the same approach is applied to lithium-ion cells: an asymptotically derived single particle model with electrolyte, and reduced-order hierarchies of three-dimensional thermal pouch cell models. This modelling is supported by open-source software, including PyBaMM and the pack-simulation package liionpack, alongside papers on verifiable theoretical research, the case for battery modelling, and a review of the continuum of physics-based lithium-ion models.

From around 2020 the focus moves towards degradation and lifetime. This includes modelling coupled degradation mechanisms, accelerated inter-cycle simulation of ageing, and a review of "knees" in ageing trajectories. Data-driven work covers lifetime prognostics across varied ageing conditions, formation-protocol diagnostics, field-data prediction, and Bayesian analysis of electric aircraft battery degradation. Other papers address fast-charging safety control, expansion and voltage modelling, and automated materials discovery. The most recent papers (2023–2024) model electrochemical-thermal-mechanical stress and degradation in composite silicon–graphite electrodes.

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Themes

Asymptotic model reduction7 papers

Systematic asymptotic analysis of porous-electrode and pouch-cell models to derive accurate reduced-order models that simulate much faster than the full models.

Open-source battery modelling software6 papers

Developing and promoting open, reproducible simulation tools such as PyBaMM and liionpack, and setting standards for verifiable theoretical battery research.

Physics-based degradation modelling7 papers

Modelling interacting ageing mechanisms, including in silicon–graphite electrodes, and accelerating simulations over many cycles.

Data-driven lifetime prediction5 papers

Using early-life features, field data and Bayesian methods to predict battery cycle life and degradation under diverse conditions.

Charging, control and materials discovery5 papers

Applying models to safer fast-charging protocols, expansion-based diagnostics and automated discovery of electrochemical materials.

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Bibliography

Open-access papers. Virtual Valentin searches these page by page and cites them.

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