Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment

By Bolun Xu, Alexandre Oudalov, Andreas Ulbig, Göran Andersson, Daniel S. Kirschen. IEEE Transactions on Smart Grid, 2018

912 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/09b0c41c2f131e1acebd65297799990368cc3cab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Bolun Xu

In Electrical and Electronic Engineering

1. Bolun Xu
2. Tonio Buonassisi

Citations in the corpus

• Technoeconomic model of second-life batteries for utility-scale solar considering calendar and cycle aging (2020, methodology): “Recently, there has been a growth in the number of methods available to predict the capacity fade of lithiumion batteries based upon measured degradation data including; semi-empirical models that tune algorithms to specific chemistries [9], probabilistic methods such as gaussian processes that achi”
• Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains (2017, background): “4 comes from a LMO cycle life test data in [22].”