Project title: Accelerated Lifetime Test Methods for Li-Ion Batteries
PhD period: 2013.06.01 – 2016.05.31. (has been prolonged till 2018.01.27.)
Section: Power Electronic Systems
Research Programme: Fuel Cell and Battery Systems
Supervisor: Remus Teodorescu
Co-Supervisor: Maciej Swierczynski
Collaborators: Risø DTU, Danish Technological Institute (DTI), KTH, RWTH Aachen.
Funding: The Danish Council for Strategic Research (DSF).
Besides, the area of consumer electronics products, Li-ion batteries are considered the most promising energy storage technology for electro-motion applications (electric vehicle, hybrid electric vehicle and plug-in hybrid electric vehicle), due to their high energy density. Moreover, because of their other characteristics, which include fast response, high efficiency, and long lifetime, Li-ion batteries are also suitable for both renewable stationary energy storage applications and back-up power applications.
Mainly, because of manufacturing costs (special packing and internal overcharge protection circuits), Li-ion batteries are still expensive energy storage devices. Thus, in order to analyze the long-term economic viability of using Li-ion batteries in the aforementioned applications and to improve their operating regimes, lifetime models are necessary. To develop lifetime models for Li-ion batteries, precise knowledge about the battery cell behavior at different operational condition (age, temperature, state-of-charge, etc.) is required. This precise knowledge can be obtained by performing different laboratory ageing tests. However, ageing tests at normal operating conditions are expensive and time consuming. Consequently, in order to avoid these problems, accelerated lifetime test represent a powerful solution. To extrapolate the results obtained from accelerated ageing test to real life conditions, ageing models based on mathematical functions have to be developed.
The primary goal of this PhD project is to develop a general accelerated lifetime tests methodology for Li-ion batteries that can be used for both battery cells and battery packs. This test methodology should consider different operation profiles, which are characteristic for electro-motion, stationary energy storage and back-up power applications.
Publications in journals and conference papers may be found at VBN.