Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications
Artikel i vetenskaplig tidskrift, 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.

calibration optimization

lithium-ion battery

battery pack

electric vehicle

electrochemical-thermal modeling

Författare

Majid Astaneh

Chalmers, Mekanik och maritima vetenskaper, Strömningslära

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 LLC

Mazyar Moghaddam

Northvolt AB

Michel Chapuis

Northvolt AB

Henrik Ström

Chalmers, Mekanik och maritima vetenskaper, Strömningslära

Energies

1996-1073 (ISSN)

Vol. 13 14 3532-

Ämneskategorier

Energiteknik

Energisystem

DOI

10.3390/en13143532

Mer information

Senast uppdaterat

2020-07-09