A generalized cycle life model of rechargeable Li-ion batteries
By Gan Ning, Ralph E. White, B. Popov. 2006
368 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/24ab3c5d6c50ff3f11f01452c11cfcd166ccf216
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
- S. B. Peterson
- Menglian Zheng
- Klaus Lackner
- C. Meinrenken
- Billy Wu
- Valentin Sulzer
- Andreas Jossen
- Jeremy J. Michalek
In Electrical and Electronic Engineering
- S. B. Peterson
- Menglian Zheng
- Klaus Lackner
- C. Meinrenken
- Billy Wu
- Goran Strbac
- Rodrigo Moreno
- Roberto Moreira
Citations in the corpus
- Energy Management and Optimization Methods for Grid Energy Storage Systems (2018, background): “are: (1) the energy capacity of an electrochemical battery decreases at higher discharge current [106], [107]; and (2) a minimum SOC is often required during discharge to increase cycle life [108], [109].”
- Effect of Battery Degradation on Multi-Service Portfolios of Energy Storage (2016, background): “This work primarily focuses on the latter aspect (which is closely entangled with the problem of economic multi-service operation of storage plants), characterizing usage cycles according to their swing ranges (defined by the minimum and maximum values reached, during a usage cycle, by the battery S”
- Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving (2015, background): “Lifetime prediction models vary with different battery technologies [36-40].”
- Lithium-ion battery cell degradation resulting from realistic vehicle and vehicle-to-grid utilization (2010, result): “Discussion/Conclusions The loss of capacity as a function of driving days shown in figure 6 indicates that the degradation of these high-power LiFePO4 - based cells does not follow the same pattern as commonly used previous reported results and models [16,17].”
- A continuum of physics-based lithium-ion battery models reviewed (2022, background): “Several DFN models [34, 87, 101, 109] of SEI formation exist in the literature to predict the capacity fade, with the pioneering work of Safari et al.”
- Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes (2015, neutral): “Lithium loss has been reported as one of the main mechanisms of capacity fade in Li-ion batteries during charging [37,43].”