Control-Oriented 2D Thermal Modelling of Cylindrical Battery Cells for Optimal Tab and Surface Cooling
Paper i proceeding, 2024

Minimising cell thermal gradients and the average temperature rise requires an optimal combination of tab and surface cooling methods to leverage their unique advantages. This work presents a computationally efficient two-dimensional (2D) thermal model for cylindrical lithium-ion battery cells that is developed based on the Chebyshev Spectral-Galerkin method and allows the independent control of tab and surface cooling channels for effective thermal performance optimisa- tion. This obtained model is validated against a high-fidelity finite element model under the worldwide harmonised light vehicle test procedure (WLTP). Results show that the reduced-order model with as few as two states can predict the spatially resolved temperature distribution throughout the cell and that in aggressive cooling scenarios, a model order of nine states can improve accuracy by about 84%. It is also shown that even though cooling all sides of the cylindrical cell achieves the lowest average temperature rise, cooling only the top and bottom sides provides minimum radial thermal gradients.

 

battery management system

electric vehicle

control-oriented thermal modelling

cooling control

battery modelling

lithium-ion battery

Battery thermal management system

partial differential equations

spectral method

Författare

Godwin Peprah

Chalmers, Elektroteknik, System- och reglerteknik

Torsten Wik

Chalmers, Elektroteknik, System- och reglerteknik

Yicun Huang

Chalmers, Elektroteknik, System- och reglerteknik

Faisal Altaf

Chalmers, Elektroteknik, System- och reglerteknik

Changfu Zou

Chalmers, Elektroteknik, System- och reglerteknik

Proceedings of the American Control Conference

0743-1619 (ISSN)

4651-4656
9798350382655 (ISBN)

American Control Conference (ACC) 2024
Toronto, Canada,

Thermal modelling and fault prognosis for Li-ion battery systems

Swedish Electromobility Centre, 2020-05-01 -- 2023-07-31.

Batteristyrning via adaptiv modellering och prediktiv reglering

Vetenskapsrådet (VR) (2019-04873), 2020-01-01 -- 2023-12-31.

Drivkrafter

Hållbar utveckling

Innovation och entreprenörskap

Styrkeområden

Transport

Energi

Ämneskategorier

Energiteknik

Beräkningsmatematik

Farkostteknik

Energisystem

Strömningsmekanik och akustik

Reglerteknik

Fundament

Grundläggande vetenskaper

DOI

10.23919/ACC60939.2024.10644585

Mer information

Senast uppdaterat

2024-10-02