Guangzhong Dong

Automotive Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Guangzhong Dong trusts overall

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

  1. Mohammad Charkhgard
  2. Elena M. Krieger
  3. Bhaskar Saha

Who trusts Guangzhong Dong overall

  1. Kailong Liu
  2. Yandan Tan
  3. Zhenpo Wang

Papers from Guangzhong Dong's perspective

Ordered by how strongly the researchers Guangzhong Dong 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. Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (IEEE transactions on industrial electronics (1982. Print))
  3. A review on the key issues for lithium-ion battery management in electric vehicles
  4. Cycle-life model for graphite-LiFePO 4 cells
  5. Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter
  6. State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF (IEEE transactions on industrial electronics (1982. Print))
  7. Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error
  8. Cycle life testing and modeling of graphite/LiCoO 2 cells under different state of charge ranges
  9. A comparison of lead-acid and lithium-based battery behavior and capacity fade in off-grid renewable charging applications
  10. An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks

Their papers