Temperature Prediction of Lithium-ion Battery used in Realistic Driving cycles
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Temperature Prediction of Lithium-ion Battery used in Realistic Driving cycles |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | Daud ZHilmi Che, Asus Z, Bakar SAnuar Abu, Husain NAbu, Samin PMohd, Chrenko D |
| Conference Name | 2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) |
| Publisher | IEEE; Alstom; Sonceboz; Femto st Sci & Technologies; FC Lab Res; IEEE VTS; Megevh; Univ Bourgogne Franche Comte; Univ Franche Comte; Univ Technologie Belfort Montbeliard; IUT Belfort Montbeliard; UFR STGI; Univ Technologie Belfort Montbeliard, Departement |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5386-1317-7 |
| Mots-clés | Hybrid electric vehicle, lithium-ion battery, realistic driving cycle, thermal behaviour |
| Résumé | Lithium-ion battery is an important component in hybrid electric vehicle for their superior performance. Battery operating temperature influences its performance and safety. In this article, a battery model that can predict thermal behaviour under realistic driving cycles for series hybrid electric vehicle is presented. Two driving cycles are used, NEDC and Artemis. The model is able to predict the temperature during discharge, and charging through regenerative braking. The model is validated using experimental results. Various information collected throughout this study are important for better understanding of the battery thermal behaviour and help to design a battery management system (BMS). |