Maitane Berecibar

Automotive Engineering · 2016–2021

A researcher in the Science corpus: 13 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 339 citations into it; #1,169 of 3,081 by trust here, #469 by citations
• Electrical and Electronic Engineering — 316 citations into it; #9,244 of 16,539 by trust here, #3,087 by citations

Whom Maitane Berecibar trusts overall

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

1. Matthieu Dubarry
2. R. Spotnitz
3. Xiaosong Hu
4. Xuebing Han
5. Languang Lu
6. Minggao Ouyang
7. Bhaskar Saha
8. Xuning Feng
9. Caihao Weng
10. Mark A. Hall

Who trusts Maitane Berecibar overall

1. Robert R. Richardson
2. Kailong Liu
3. Xiaosong Hu
4. Yi Li
5. Christoph R. Birkl
6. Carlos Vidal
7. Claudio Sbarufatti
8. Fujin Wang
9. Yunhong Che
10. Michael A. Osborne

Papers from Maitane Berecibar's perspective

Ordered by how strongly the researchers Maitane Berecibar 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. Differential thermal voltammetry for tracking of degradation in lithium-ion batteries
3. Machine learning - a probabilistic perspective
4. A review on prognostics and health monitoring of Li-ion battery
5. Probabilistic machine learning and artificial intelligence
6. A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations (Journal of Cleaner Production)
7. Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries
8. Towards a smarter battery management system: A critical review on battery state of health monitoring methods (Journal of Power Sources)
9. Identifying battery aging mechanisms in large format Li ion cells
10. Calendar aging of commercial graphite/LiFePO4 cell - Predicting capacity fade under time dependent storage conditions

Their papers

• State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application (2016) — 184 citations
• A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter (2018) — 462 citations
• Critical review of state of health estimation methods of Li-ion batteries for real applications (2016) — 964 citations
• Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) — 1,002 citations
• Realistic lifetime prediction approach for Li-ion batteries (2016) — 174 citations
• A new concept of thermal management system in Li-ion battery using air cooling and heat pipe for electric vehicles (2020) — 307 citations
• Online state of health estimation on NMC cells based on predictive analytics (2016) — 193 citations
• Random forest regression for online capacity estimation of lithium-ion batteries (2018) — 642 citations
• Thermal management analysis using heat pipe in the high current discharging of lithium-ion battery in electric vehicles (2020) — 168 citations
• Heat pipe air-cooled thermal management system for lithium-ion batteries: High power applications (2021) — 141 citations
• A comparative study between air cooling and liquid cooling thermal management systems for a high-energy lithium-ion battery module (2021) — 358 citations
• A novel liquid cooling plate concept for thermal management of lithium-ion batteries in electric vehicles (2021) — 288 citations
• State of health battery estimator enabling degradation diagnosis: Model and algorithm description (2017) — 148 citations