Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications
Journal article, 2020

Large-scale introduction of electric vehicles (EVs) to the market sets outstanding requirements for battery performance to extend vehicle driving range, prolong battery service life, and reduce battery costs. There is a growing need to accurately and robustly model the performance of both individual cells and their aggregated behavior when integrated into battery packs. This paper presents a novel methodology for Lithium-ion (Li-ion) battery pack simulations under actual operating conditions of an electric mining vehicle. The validated electrochemical-thermal models of Li-ion battery cells are scaled up into battery modules to emulate cell-to-cell variations within the battery pack while considering the random variability of battery cells, as well as electrical topology and thermal management of the pack. The performance of the battery pack model is evaluated using transient experimental data for the pack operating conditions within the mining environment. The simulation results show that the relative root mean square error for the voltage prediction is 0.7–1.7% and for the battery pack temperature 2–12%. The proposed methodology is general and it can be applied to other battery chemistries and electric vehicle types to perform multi-objective optimization to predict the performance of large battery packs.

battery pack

electrochemical-thermal modeling

calibration optimization

lithium-ion battery

electric vehicle

Author

Majid Astaneh

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Jelena Andric

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems

Lennart Löfdahl

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems

Dario Maggiolo

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Peter Stopp

Gamma Technologies LLC

Mazyar Moghaddam

Northvolt AB

Michel Chapuis

Northvolt AB

Henrik Ström

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Energies

1996-1073 (ISSN) 19961073 (eISSN)

Vol. 13 14 3532

Interaction between micro and macro processes in battery-powered vehicles

Swedish Energy Agency (47906-1), 2019-04-10 -- 2021-04-15.

Subject Categories

Energy Engineering

Energy Systems

DOI

10.3390/en13143532

More information

Latest update

10/23/2020