Yi Li

Automotive Engineering · Renewable & Sustainable Energy Reviews · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 135 citations into it
• Electrical and Electronic Engineering — 120 citations into it
• Control and Systems Engineering — 29 citations into it

Whom Yi Li trusts overall

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

1. Xiaosong Hu
2. Matthieu Dubarry
3. Bhaskar Saha
4. John Cannarella
5. Maitane Berecibar
6. Caihao Weng
7. Billy Wu
8. Zonghai Chen
9. Robert R. Richardson
10. Dong Wang

Who trusts Yi Li overall

1. Xiaosong Hu
2. D. Roman
3. Jinpeng Tian
4. Billy Wu
5. Weihan Li
6. Yunhong Che
7. Rui Xiong
8. Saurabh Saxena
9. Xianke Lin
10. Widanalage Dhammika Widanage

Papers from Yi Li's perspective

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

1. Differential thermal voltammetry for tracking of degradation in lithium-ion batteries
2. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
3. An integrated approach to battery health monitoring using bayesian regression and state estimation (2007 IEEE Autotestcon)
4. A review on prognostics and health monitoring of Li-ion battery
5. A review on the key issues for lithium-ion battery management in electric vehicles
6. Machine learning - a probabilistic perspective
7. Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework (IEEE Transactions on Instrumentation and Measurement)
8. Probabilistic machine learning and artificial intelligence
9. Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data
10. A review on electrolyte additives for lithium-ion batteries

Their papers

• A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter (2018) — 462 citations
• Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) — 1,002 citations
• Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries (2020) — 308 citations
• Random forest regression for online capacity estimation of lithium-ion batteries (2018) — 642 citations