A. Devie

Electrical and Electronic Engineering · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Devie trusts overall

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

  1. Matthieu Dubarry

Papers from A. Devie's perspective

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

  1. Nanoscale Nucleation and Growth of Electrodeposited Lithium Metal. (Nano letters (Print))
  2. Data-driven prediction of battery cycle life before capacity degradation (Nature Energy)
  3. Modeling mechanical degradation in lithium ion batteries during cycling: Solid electrolyte interphase fracture
  4. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
  5. Effects of overdischarge on performance and thermal stability of a Li-ion cell
  6. State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
  7. State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks (IEEE Transactions on Vehicular Technology)
  8. Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination
  9. Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus (IEEE Transactions on Vehicular Technology)
  10. Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles (IEEE Transactions on Vehicular Technology)

Their papers