Aging of high power Li-ion cells during real use of electric vehicles

• Published in: IET electrical systems in transportation 2017-03, Vol.7 (1), p.14-22
• Main Authors: Rizoug, Nassim, Sadoun, Redha, Mesbahi, Tedjani, Bartholumeus, Patrick, LeMoigne, Philippe
• Format: Article
• Language: English
• Subjects: accelerated cycling; ageing; battery powered vehicles; Electric batteries; Electric power generation; Electric vehicles; Engineering Sciences; high power lithium‐ion cell aging; HP technology; hybrid electric vehicles; life testing; lithium compounds; Modelling; Requirements specifications; secondary cells; Special Issue: Design,Modeling and Control of Electric Vehicles:Selected Papers from IEEE Vehicle Power andPropulsion Conference (VPPC 2015); Specifications; Transportation; Vehicles
• ISSN: 2042-9738; 2042-9746; 2042-9746
• DOI: 10.1049/iet-est.2016.0012

Currently, the vehicle manufacturers use the high power Li-ion technology to supply the electric and hybrid vehicles. This technology is able to ensure the power needed to propel the vehicle. Until now several studies have been made by the laboratories and manufacturers to characterise this technology. The aim of these test (electric, thermal, aging,…) is to make comparison between Li-ion technologies and choice the best one for each application. For that, they use accelerated cycling with different condition to characterise cells, what can reduce the tests duration. Unfortunately, this type of cycle cannot give us information about the aging of HP Li-ion technology under real use of the vehicle. Firstly, the requirements specification (vehicle specification, battery technologies, mission) has been presented. After that, the authors will present the test bench developed in the laboratory to characterise batteries and study the aging of the HP technology. Here the authors present the study of the Li-ion HP behaviour during almost 3 years and the modelling (electric, thermal and aging modelling) using a real driving cycle. The experimental results are compared with the results obtained with the developed ageing model. The obtained results prove the good performances of this technology in electric vehicle applications.