Study of internal short in a Li-ion cell-II. Numerical investigation using a 3D electrochemical-thermal model
By Weifeng Fang, P. Ramadass, Zhengming Zhang. 2014
164 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1cdc3ac9afe19c56b6a313ac110f5018f9f1c895
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In Automotive Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures (2020, methodology): “Because the experimental test methods are costly and time consuming, a lot of research has been devoted to developing a high-fidelity model that can simulate battery failure behavior, such as the ECM [60], [117], two-state thermal model [118], electrochemical–thermal model [119], [120], 3D electroch”
- A review of the internal short circuit mechanism in lithium‐ion batteries: Inducement, detection and prevention (2021, methodology): “This method was further developed by Celgard.(41,56) They cut off part of the separator into a hole and compress the cell to directly contact positive and negative electrodes, as shown in Figure 11B.”
- Integrated computation model of lithium-ion battery subject to nail penetration (2016, background): “Failure strain ef 1⁄4 0:0066 [17] ese f 1⁄4 1 [17] Electrical conductivity ja 1⁄4 10 S=m [11] jðcLiPF6 ; TÞ [27,28] Diffusion coefficient D 1⁄4 5 10 13 [22,23] DðcLiPF6 ; TÞ [27,28] Maximum concentration ceq = 56,250 mol/m 3 [22,23]”