A. Fly

Automotive Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Fly trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Matthieu Dubarry

Papers from A. Fly's perspective

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

  1. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
  2. Cell degradation in commercial LiFePO4 cells with high-power and high-energy designs
  3. Differential thermal voltammetry for tracking of degradation in lithium-ion batteries
  4. Synthesize battery degradation modes via a diagnostic and prognostic model
  5. Modeling mechanical degradation in lithium ion batteries during cycling: Solid electrolyte interphase fracture
  6. Nanoscale Nucleation and Growth of Electrodeposited Lithium Metal. (Nano letters (Print))
  7. Data-driven prediction of battery cycle life before capacity degradation (Nature Energy)
  8. State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
  9. State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks (IEEE Transactions on Vehicular Technology)
  10. Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries

Their papers