Ying Gao
9 Papers
Ying Gao is an academic researcher. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 2, co-authored 6 publications.
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Papers
State of health estimation for lithium-ion battery based on energy features
TL;DR: In this article , the authors proposed an energy features-based SOH estimation model for different lithium-ion batteries under varied charging and discharging scenarios, which employed a machine learning algorithm based on Gaussian process regression (GPR).
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Early prediction of cycle life for lithium-ion batteries based on evolutionary computation and machine learning
TL;DR: In this paper , the early prediction of cycle life for lithium-ion batteries based on evolutionary computation techniques and machine learning approaches is explored, and the results show that the fusion feature selection method that combines Pearson correlation coefficient and differential evolution-based wrapper approach performs the best cycle life early prediction performance.
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Nonlinear model predictive control(NMPC) of diesel oxidation catalyst (DOC) outlet temperature for active regeneration of diesel particulate filter (DPF) in diesel engine
Wenlong liu,Ying Gao,Yuelin You,Changwen Jiang,Taoyi Hua,Bocong Xia +5 more
TL;DR: This study develops a nonlinear model predictive control strategy to maintain the diesel oxidation catalyst (DOC) outlet temperature within 585-615 °C for active diesel particulate filter (DPF) regeneration, achieving mean absolute errors of 0.535 °C and 1.994 °C.
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Adaptive Time-Step Unscented Kalman Filtering (ATS-UKF) Based Observer Design for Urea Selective Catalytic Reduction (SCR) Performance of Diesel Engines
Wenlong liu,Ying Gao,Yuelin You,Changwen Jiang,Taoyi Hua,Bocong Xia +5 more
TL;DR: This study proposes the Adaptive Time-Step Unscented Kalman Filtering (ATS-UKF) observer design for Urea Selective Catalytic Reduction (SCR) performance in diesel engines, enhancing SCR efficiency, minimizing sensor dependence, and promoting eco-friendly diesel engine operation.
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Optimization of a Spark Ignition Engine Knock and Performance Using the Epsilon-Constrained Differential Evolution Algorithm and Multi-Objective Differential Evolution Algorithm
TL;DR: In this paper , the effects of multiple variables on economic performance and power performance under knock limits were investigated, including exhaust gas recirculation rate, exhaust valve timing, spark timing, and intake valve timing.
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