Lithium-Ion Battery Pack Modelling for Electric Vehicles in Mining Applications Using GT-AutoLion
Övrigt konferensbidrag, 2020

Large traction battery packs play a pivotal role in electric vehicles (EVs) to fulfill the system demand for high voltage and capacity. Therefore, accurate and robust modeling of both individual battery cells and their aggregated behavior in battery packs is of crucial importance. This presentation proposes a novel approach to integrate the validated electrochemical-thermal models of the Lithium-ion (Li-ion) cells into battery pack simulations for electric vehicle applications. The approach employs the calibration optimization methodology that utilizes experimental measurements for battery cells and for the battery pack under realistic operating conditions in mining applications. The random variability of battery cells, as well as electrical topology and thermal management of the pack have been considered in the present study to mimic the actual behavior of the battery pack under consideration. The simulations were carried out in GT-AutoLion and the optimizations were performed using GT-SUITE direct optimizer. The experimental data were provided by Northvolt AB, a leading European manufacturer of the next-generation Li-ion battery cells and complete battery systems. The proposed methodology is general and can be applied to other battery chemistries and electric vehicle types to perform multi-objective optimization to predict the performance of large battery packs.

Författare

Majid Astaneh

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Jelena Andric

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Lennart Löfdahl

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Dario Maggiolo

Chalmers, Mekanik och maritima vetenskaper, Strömningslära

Peter Stopp

Gamma Technologies

Mazyar Moghaddam

Northvolt AB

Michel Chapuis

Northvolt AB

Henrik Ström

Chalmers, Mekanik och maritima vetenskaper, Strömningslära

Global Gamma Technologies Virtual Conference

Global Gamma Technologies Virtual Conference
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Växelverkan mellan mikro- och makroprocesser i batterifordon

Energimyndigheten (47906-1), 2019-04-10 -- 2021-04-15.

Ämneskategorier

Energiteknik

Farkostteknik

Energisystem

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Senast uppdaterat

2021-10-30