Modeling capacity fade in lithium-ion cells

By Bor Yann Liaw, R. Jungst, G. Nagasubramanian, H. Case, D. Doughty. 2005

216 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/261afc9ae71a179408b5656cc7553db3a98bcaef

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. Lino Guzzella
2. Philipp Elbert
3. A. Millner
4. Søren Ebbesen
5. Simona Onori
6. G. Suri

In Electrical and Electronic Engineering

1. Lino Guzzella
2. A. Millner
3. Simona Onori
4. G. Suri

Citations in the corpus

• Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles (2012, background): “The capacity fade of Li-ion batteries is a research topic that has been subjected to intensive investigation in both the industrial and academic communities [6]–[11].”
• Modeling Lithium Ion battery degradation in electric vehicles (2010, methodology): “The formula for R2 ( L, SOC is adapted from (12) : R2 = a + b*(SOC) + d*(1-SOC) (12)”
• 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, unknown): “There have been substantial efforts to conduct experimental campaigns to understand the influence of different stress factors on battery aging for various cathode materials: LiCoO2 (LCO) [24,25], LiNiO (LNO) [24], Li(Ni,Co)O2 (NCO) [26e29], Li(Ni,Co,Al)O2 (NCA) [30,25,31,32], LiFePO4 (LFP) [2,14,32]”