A study of the influence of measurement timescale on internal resistance characterisation methodologies for lithium-ion cells
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-18424-5.pdf
Reference37 articles.
1. Aneke, M. & Wang, M. Energy storage technologies and real life applications – A state of the art review. Applied Energy 179, 350–377, https://doi.org/10.1016/j.apenergy.2016.06.097 (2016).
2. Wang, J. et al. Degradation of lithium ion batteries employing graphite negatives and nickel–cobalt–manganese oxide + spinel manganese oxide positives: Part 1, aging mechanisms and life estimation. Journal of Power Sources 269, 937–948, https://doi.org/10.1016/j.jpowsour.2014.07.030 (2014).
3. Li, S. E., Wang, B., Peng, H. & Hu, X. An electrochemistry-based impedance model for lithium-ion batteries. Journal of Power Sources 258, 9–18, https://doi.org/10.1016/j.jpowsour.2014.02.045 (2014).
4. Bruen, T. & Marco, J. Modelling and experimental evaluation of parallel connected lithium ion cells for an electric vehicle battery system. Journal of Power Sources 310, 91–101, https://doi.org/10.1016/j.jpowsour.2016.01.001 (2016).
5. Robinson, J. B. et al. Detection of Internal Defects in Lithium-Ion Batteries Using Lock-in Thermography. ECS Electrochemistry Letters 4, A106–A109, https://doi.org/10.1149/2.0071509eel (2015).
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