A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries

By J. Schmalstieg, S. Käbitz, Madeleine Ecker, Dirk Uwe Sauer. 2014

660 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e8bf5ec6c13f38f5b186d9972284c106250c1087

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In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019, background): “In contrast, the SOC dependence on calendar ageing lifetime is typically fitted by linear functions [100], exponential functions [99] or by the Tafel equation [95].”
The challenge and opportunity of battery lifetime prediction from field data (2021, background): “Finally, empirical aging maps may fail to capture knee points in the capacity fade curve [7, 24].”
Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries (2020, neutral): “[9] proposed an Arrhenius-based semi-empirical model to capture calendar cell aging.”
Economic Optimization of Component Sizing for Residential Battery Storage Systems (2017, methodology): “[28], a superposition principle is used to estimate the overall aging: agingtot = agingcal + agingcyc.”
A new on-line method for lithium plating detection in lithium-ion batteries (2020, background): “Although Lithium-ion batteries with graphite have been widely used in portable electronic devices, such as mobile phones and laptops, challenges are still remained and need to be addressed in order to meet the stringent requirements of the automotive industry and to facilitate their introduction wit”
The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles (2018, methodology): “The existing estimation approaches include the degradation model-based approaches [13]–[15], the approaches based on incremental capacity analysis (ICA) and differential voltage analysis (DVA) [16], [17], and other voltage-based approaches.”
Second life of electric vehicle batteries: relation between materials degradation and environmental impact (2015, background): “ature (Schmalstieg et al. 2014; Teodorescu et al. 2013; Delaille et al. 2013; Ecker et al. 2012), the Li-ion battery lifetime equations are obtained (Eq.”