Modeling Lithium Ion battery degradation in electric vehicles

By A. Millner. 2010 IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply, 2010

399 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/94b0e28b8a1d36bb4811fa9af0addbdced35c721

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Citations in the corpus

Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment (2018, methodology): “Compared to the Li(NiMnCo)O2 battery studied in [54] and the LiFePO4 battery studied in [25], LMO battery degradation not only leads to capacity fading but also greatly increases the cell resistance, causing LMO batteries to have shorter cycle lives [34].”
Practical Capacity Fading Model for Li-Ion Battery Cells in Electric Vehicles (2013, methodology): “Following [17], the capacity fading rate was initially modeled as a multiplication of the SoCavg and SoCdev exponential equations, but the measurement results could not be modeled accurately enough.”
Computer-Aided Design and Optimization of Hybrid Energy Storage Systems (2013, unknown): “Reference work [151, 155] shows that the battery cycle life increases (nearly) exponentially when the DoD decreases.”
Effect of Battery Degradation on Multi-Service Portfolios of Energy Storage (2016, background): “Nevertheless, the actual amount of energy delivered (or stored) by the battery during a specific usage cycle will definitively be a function of the operating temperature [23].”
Electric Vehicle Routing and Charging/Discharging under Time-Variant Electricity Prices (2020, methodology): “According to Fernández et al. (2013) and Millner (2010) the EV battery life span is around 4.6 - 5.5 years under 100% depth of discharge (DoD) daily usage in mild temperature.”
Economics of Residential Photovoltaic Battery Systems in Germany: The Case of Tesla’s Powerwall (2016, methodology): “We adapted this method to estimate cycle aging of batteries based on findings in literatures [19–24].”