Ke Yao, Ph.D.
Affiliations: | 2008 | HKUST | Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong |
Area:
Chemical EngineeringGoogle:
"Ke Yao"Parents
Sign in to add mentorFurong Gao | grad student | 2008 | HKUST | |
(Energy-efficient control in injection molding.) |
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Publications
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Tang X, Zou C, Wik T, et al. (2020) Run-to-Run Control for Active Balancing of Lithium Iron Phosphate Battery Packs Ieee Transactions On Power Electronics. 35: 1499-1512 |
Tang X, Yao K, Liu B, et al. (2019) Connection Failure Detection for Lithium-ion Batteries Based on DBSCAN-Projection Method Destech Transactions On Environment, Energy and Earth Science |
Tang X, Gao F, Yao K, et al. (2019) Battery State of Charge Estimation Based on a Pure Hardware Implementable Method Destech Transactions On Environment, Energy and Earth Science |
Tang X, Wang Y, Yao K, et al. (2019) Model migration based battery power capability evaluation considering uncertainties of temperature and aging Journal of Power Sources. 440: 227141 |
Tang X, Wang Y, Zou C, et al. (2019) A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging Energy Conversion and Management. 180: 162-170 |
Tang X, Yao K, Zou C, et al. (2019) Predicting Battery Aging Trajectory via a Migrated Aging Model and Bayesian Monte Carlo Method Energy Procedia. 158: 2456-2461 |
Tang X, Zou C, Yao K, et al. (2019) Aging trajectory prediction for lithium-ion batteries via model migration and Bayesian Monte Carlo method Applied Energy. 254: 113591 |
Tang X, Gao F, Zou C, et al. (2019) Load-responsive model switching estimation for state of charge of lithium-ion batteries Applied Energy. 238: 423-434 |
Tang X, Yao K, Liu B, et al. (2018) Long-Term Battery Voltage, Power, and Surface Temperature Prediction Using a Model-Based Extreme Learning Machine Energies. 11: 86 |
Tang X, Zou C, Yao K, et al. (2018) A fast estimation algorithm for lithium-ion battery state of health Journal of Power Sources. 396: 453-458 |