Li Zhao

Automotive Engineering · with Ren · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 14 citations into it
• Control and Systems Engineering — 9 citations into it

Whom Li Zhao trusts overall

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

1. Bhaskar Saha
2. Kai Goebel

Papers from Li Zhao's perspective

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

1. An integrated approach to battery health monitoring using bayesian regression and state estimation (2007 IEEE Autotestcon)
2. Lessons Learned from the 787 Dreamliner Issue on Lithium-Ion Battery Reliability
3. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
4. Comparison of prognostic algorithms for estimating remaining useful life of batteries
5. Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
6. Estimation of Battery State of Health Using Probabilistic Neural Network (IEEE Transactions on Industrial Informatics)
7. Adversarial Autoencoders
8. Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach (IEEE Access)
9. Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
10. Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework (IEEE Transactions on Instrumentation and Measurement)

Their papers

• Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach (2018) — 343 citations
• A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life (2021) — 565 citations