Effect of Cell-to-Cell Thermal Imbalance and Cooling Strategy on Electric Vehicle Battery Performance and Longevity

Escobar, Camilo; Gong, Zhe; Silva, Carlos Da; Trescases, Olivier; Amón, Cristina H.

doi:10.1109/itherm54085.2022.9899683

Cited by 4 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Results revealed that interconnection resistance variation has the most significant impact on cell-to-cell differences, where a 25% resistance variation leads to 22% current dispersion. Escobar et al [64] also combined several first-order ECMs in conjunction with an Arrhenius-based model to gauge long-term performance of battery packs and BTMSs to joule heating. To account for cell-cell variation, they performed a series of Monte Carlo simulations to simulate variations in beginning of life (BOL) cell capacity and impedance for all pack cells.…”

Section: Equivalent Circuit Modelsmentioning

confidence: 99%

Multiscale Modelling Methodologies of Lithium-Ion Battery Aging: A Review of Most Recent Developments

Ali,

Da Silva,

Amon

2023

Batteries

Self Cite

View full text Add to dashboard Cite

Lithium-ion batteries (LIBs) are leading the energy storage market. Significant efforts are being made to widely adopt LIBs due to their inherent performance benefits and reduced environmental impact for transportation electrification. However, achieving this widespread adoption still requires overcoming critical technological constraints impacting battery aging and safety. Battery aging, an inevitable consequence of battery function, might lead to premature performance losses and exacerbated safety concerns if effective thermo-electrical battery management strategies are not implemented. Battery aging effects must be better understood and mitigated, leveraging the predictive power of aging modelling methods. This review paper presents a comprehensive overview of the most recent aging modelling methods. Furthermore, a multiscale approach is adopted, reviewing these methods at the particle, cell, and battery pack scales, along with corresponding opportunities for future research in LIB aging modelling across these scales. Battery testing strategies are also reviewed to illustrate how current numerical aging models are validated, thereby providing a holistic aging modelling strategy. Finally, this paper proposes a combined multiphysics- and data-based modelling framework to achieve accurate and computationally efficient LIB aging simulations.

show abstract

Section: Equivalent Circuit Modelsmentioning

confidence: 99%