I. Villarreal
Electrical and Electronic Engineering · 2014–2017
A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 195 citations into it
- Automotive Engineering — 193 citations into it
- Electronic, Optical and Magnetic Materials — 14 citations into it
Whom I. Villarreal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from I. Villarreal's perspective
Ordered by how strongly the researchers I. Villarreal trusts endorse each paper. Same corpus, a different order for every researcher.
- Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
- State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
- A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors (Journal of Power Sources)
- State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks (IEEE Transactions on Vehicular Technology)
- Li‐ion batteries: basics, progress, and challenges
- Li-ion battery materials: present and future
- A General Discussion of Li Ion Battery Safety
- Effects of overdischarge on performance and thermal stability of a Li-ion cell
- Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus (IEEE Transactions on Vehicular Technology)
- Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles (IEEE Transactions on Vehicular Technology)
Their papers
- State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application (2016) — 184 citations
- Critical review of state of health estimation methods of Li-ion batteries for real applications (2016) — 964 citations
- Cycle ageing analysis of a LiFePO4/graphite cell with dynamic model validations: Towards realistic lifetime predictions (2014) — 349 citations
- Realistic lifetime prediction approach for Li-ion batteries (2016) — 174 citations
- Online state of health estimation on NMC cells based on predictive analytics (2016) — 193 citations
- Understanding Lithium Inventory Loss and Sudden Performance Fade in Cylindrical Cells during Cycling with Deep-Discharge Steps (2015) — 164 citations
- State of health battery estimator enabling degradation diagnosis: Model and algorithm description (2017) — 148 citations