Xiaoyu Li

Automotive Engineering · Journal of Energy Storage · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 60 citations into it; #3,013 of 3,081 by trust here, #1,728 by citations
• Electrical and Electronic Engineering — 53 citations into it; #16,104 of 16,539 by trust here, #9,402 by citations

Whom Xiaoyu Li trusts overall

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

1. Billy Wu

Who trusts Xiaoyu Li overall

1. Zhenpo Wang
2. Greg Van Houdt
3. Xiaosong Hu
4. Changgui Yuan
5. Carlos Mosquera
6. Yunhong Che

Papers from Xiaoyu Li's perspective

Ordered by how strongly the researchers Xiaoyu 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. A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter
3. Smoothing and differentiation of data by simplified least square procedure.
4. Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries
5. Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data
6. Cycle ageing analysis of a LiFePO4/graphite cell with dynamic model validations: Towards realistic lifetime predictions
7. Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression (IEEE transactions on industrial electronics (1982. Print))
8. An accelerated calendar and cycle life study of Li-ion cells.
9. Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks (Journal of Energy Storage)
10. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))

Their papers

• State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis (2019) — 329 citations
• Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks (2019) — 388 citations
• Lithium Battery State-of-Health Estimation via Differential Thermal Voltammetry With Gaussian Process Regression (2021) — 153 citations
• A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter (2020) — 306 citations