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武骥
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Associate professor
Supervisor of Master's Candidates
Paper Publications
Screening of retired batteries with gramian angular difference fields and ConvNeXt.[J:Engineering Applications of Artificial Intelligence,2023,123):106397.
A data-driven approach for estimating state-of-health of lithium-ion batteries considering internal resistance.[J:Energy,2023,277):127675.
State of health estimation with attentional long short-term memory network for lithium-ion batteries.[J:Energy,2023,268):126706.
Battery health prognosis with gated recurrent unit neural networks and hidden Markov model considering uncertainty quantification:Reliability Engineering & System Safety,2023,230):108978.
State of Health Estimation for Lithium-Ion Battery via Recursive Feature Elimination on Partial Charging Curves.[J:IEEE Journal of Emerging and Selected Topics in Power Electronics,2023,11(1):131-142.
Health prognosis for lithium-ion battery with multi-feature optimization.[J:Energy,2023,264):126307.
Data-driven State of Charge Estimation for Power Battery with Improved Extended Kalman Filter.[J:IEEE Transactions on Instrumentation and Measurement,2023,72):1500910.
State of health estimation of lithium-ion battery with improved radial basis function neural network.[J:Energy,2023,262):125380.
State of Health Estimation for Lithium-Ion Batteries in Real-World Electric Vehicles.[J:SCIENCE CHINA Technological Sciences,2023,66(1):46-56.
Dual particle swarm optimization based data-driven state of health estimation method for lithium-ion battery:Journal of Energy Storage,2022,56):105908.
Bayesian information criterion based data-driven state of charge estimation for lithium-ion battery.[J:Journal of Energy Storage,2022,55):105669.
Lithium-ion batteries health prognosis via differential thermal capacity with simulated annealing and support vector regression.[J:Energy,2022,250):123829.
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