Electro-aging model development of nickel-manganese-cobalt lithium-ion technology validated with light and heavy-duty real-life profiles. (April 2020)

• Record Type: Journal Article
• Authors: Hosen, Md Sazzad; Karimi, Danial; Kalogiannis, Theodoros; Pirooz, Ashkan; Jaguemont, Joris; Berecibar, Maitane; Van Mierlo, Joeri
• Is Part Of: Journal of energy storage. Volume 28(2020)
• Publication Date: 2020-04
• Subjects: Electro-aging model -- Capacity fade model -- NMC/C degradation -- Real-life validation -- Lifetime prognosis; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2020.101265
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: Built an extensive database of more than 75 cells NMC/C cells aging with 39 conditions. Investigated the impact factors on battery life considering cycling depth-of-discharge, temperature, charge-discharge current rates and storage state-of-charge etc. A combined semi-empirical electro-aging model has been developed with simple algorithms to predict the capacity fade during the whole lifetime. More than a yearlong validation profiles were performed as per real-life light-duty and heavy-duty application. The model can accurately predict the lifetime for all validation types. Abstract: The understanding of battery aging has a significant influence on electric vehicle performance with optimized battery usage on the road. This paper presents a comprehensive electrical-aging model which has been developed by the thorough investigation of commercial Nickel-Manganese-Cobalt (NMC) 20Ah lithium-ion pouch cells. During a span of more than three years, detailed characterization and lifetime tests have been conducted on 75+ cells to build an extensive database of battery test results. A total of 39 aging test conditions covering 10 °C-45 °C temperatures, 20%-90% depth of discharge (DoD), 10%-80% storage state of charge (SoC), and 0.5C-3C current rate (C-rate) are performed to construct a robust electro-lifetime model. Within the scope of this research, the precision of the developed model is validated with both light and heavy-duty real-life dynamic profiles for the first time. More than a yearlong worldwide harmonized light vehicles (WLTC) cycling corresponds to very accurate root-mean-square error (RMSE) of 0.83% and 0.78% at 10 °C and 45 °C temperature, respectively. The model is also able to predict two types of inhouse developed heavy-duty profiles with an RMSE of 1.07% and 0.73%. The robust validation enables the developed tool to model complete aging and can be taken as base work towards online implementation. Graphical abstract: Image, graphical abstract