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<p>Physics-based electrochemical models are widely used to predict lithium-ion battery (LIB) behaviour under realistic operating conditions, where simplified laboratory profiles are insufficient. In this study, three models of different complexity were implemented and compared: the Doyle–Fuller–Newman (DFN) model, the Many-Particle Model (MPM), and the Many-Particle Doyle–Fuller–Newman model (MP-DFN). The models were parameterized using available datasets and adjusted to best represent a commercial LG M50LT cylindrical cell and validated against experimental data from constant-current/constant-voltage charging and discharge under the Worldwide Harmonised Light Vehicle Test Cycle (WLTC). The results show that whilst all models reproduce the overall voltage response, the many-particle formulations capture dynamic behaviour more faithfully, particularly during WLTC discharge, where the particle size distribution strongly influences predictive accuracy. These improvements are accompanied by higher computational demands, but the study provides new insight into the role of particle-level heterogeneity under realistic automotive conditions and offers guidance for selecting suitable modelling approaches depending on application needs.</p> Graphical abstract <p></p>

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Impact of particle size distribution on the behaviour of lithium-ion batteries under dynamic operation

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月29日

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  • Nikola Klusoňová,
  • František Kekula,
  • Jan Kasper,
  • Jan Zemen,
  • Jindřich Sadil,
  • Vaclav Knap

摘要

Physics-based electrochemical models are widely used to predict lithium-ion battery (LIB) behaviour under realistic operating conditions, where simplified laboratory profiles are insufficient. In this study, three models of different complexity were implemented and compared: the Doyle–Fuller–Newman (DFN) model, the Many-Particle Model (MPM), and the Many-Particle Doyle–Fuller–Newman model (MP-DFN). The models were parameterized using available datasets and adjusted to best represent a commercial LG M50LT cylindrical cell and validated against experimental data from constant-current/constant-voltage charging and discharge under the Worldwide Harmonised Light Vehicle Test Cycle (WLTC). The results show that whilst all models reproduce the overall voltage response, the many-particle formulations capture dynamic behaviour more faithfully, particularly during WLTC discharge, where the particle size distribution strongly influences predictive accuracy. These improvements are accompanied by higher computational demands, but the study provides new insight into the role of particle-level heterogeneity under realistic automotive conditions and offers guidance for selecting suitable modelling approaches depending on application needs.

Graphical abstract