Xiangming He

Electrical and Electronic Engineering · 2005–2021

A researcher in the Science corpus: 37 papers; trusts 23 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Xiangming He trusts overall

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

  1. Xuning Feng
  2. Minggao Ouyang
  3. R. Spotnitz
  4. Languang Lu
  5. Qingsong Wang
  6. Xuebing Han
  7. Fredrik Larsson
  8. T. Hatchard
  9. Ping Ping
  10. Dongsheng Ren

Who trusts Xiangming He overall

  1. Xuning Feng
  2. Dongsheng Ren
  3. Shengbo Zhang
  4. Xiaosong Hu
  5. Minggao Ouyang
  6. Ping Ping
  7. Peifeng Huang

Papers from Xiangming He's perspective

Ordered by how strongly the researchers Xiangming He 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. A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors (Journal of Power Sources)
  3. Experimental and modeling analysis of thermal runaway propagation over the large format energy storage battery module with Li4Ti5O12 anode
  4. State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
  5. Thermal behaviour analysis of lithium-ion battery at elevated temperature using deconvolution method
  6. Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus (IEEE Transactions on Vehicular Technology)
  7. Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles (IEEE Transactions on Vehicular Technology)
  8. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries (IEEE Transactions on Vehicular Technology)
  9. Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles
  10. The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles (IEEE Transactions on Vehicular Technology)

Their papers