Kang Li
Electrical and Electronic Engineering · with Niu · 2014–2018
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 62 citations into it
- Automotive Engineering — 51 citations into it
- Control and Systems Engineering — 7 citations into it
- Safety, Risk, Reliability and Quality — 7 citations into it
Whom Kang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Behnam Mohammadi-Ivatloo
- Mehdi Gholizadeh
- Aniruddha Bhattacharya
- Lingfeng Wang
- Swagatam Das
- Xuebing Han
- Xin Yao
- Rui Xiong
- S. Y. S. Ng
- Lifeng Wu
Who trusts Kang Li overall
Papers from Kang Li's perspective
Ordered by how strongly the researchers Kang Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me
- Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework (IEEE Transactions on Instrumentation and Measurement)
- Biogeography-Based Optimization for Different Economic Load Dispatch Problems (IEEE Transactions on Power Systems)
- A review on prognostics and health monitoring of Li-ion battery
- A review on the key issues for lithium-ion battery management in electric vehicles
- Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
- Evolutionary programming made faster
- Simulated Annealing Technique for Dynamic Economic Dispatch
- Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems
- Critical review of state of health estimation methods of Li-ion batteries for real applications
Their papers
- A brief review on key technologies in the battery management system of electric vehicles (2018) — 525 citations
- A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells (2014) — 289 citations
- A self-learning TLBO based dynamic economic/environmental dispatch considering multiple plug-in electric vehicle loads (2014) — 128 citations