Jiahuan Lu

Applied Energy · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Jiahuan Lu's perspective

Ordered by how strongly the researchers Jiahuan Lu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Modeling and short circuit detection of 18650 Li-ion cells under mechanical abuse conditions
2. Safety mechanisms in lithium-ion batteries
3. Abuse behavior of high-power, lithium-ion cells
4. Thermal safety of lithium-ion batteries with various cathode materials: A numerical study
5. Mechanical testing and macro-mechanical finite element simulation of the deformation, fracture, and short circuit initiation of cylindrical Lithium ion battery cells
6. Internal short circuit in Li-ion cells
7. Lithium-ion battery structure that self-heats at low temperatures (Nature)
8. Dropout: a simple way to prevent neural networks from overfitting
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Gradient-based learning applied to document recognition

Their papers

• State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach (2021) — 296 citations
• Temperature rise prediction of lithium-ion battery suffering external short circuit for all-climate electric vehicles application (2018) — 185 citations