Zhihao Yu

Research on fast identification method of lithium battery parameters based on window-based algorithm

Zhihao Yu, Rui Chen, Tianle Cui, Shibo Jia et autres

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Vortex dynamics and amplitude modulation in vortex-induced vibration of a low-aspect-ratio stepped cylinder

Zhihao Yu, Shuqing Wang, Liwei Yu, Lin Ke et autres

An experimental study is conducted to investigate the vortex-induced vibration (VIV) of stepped cylinders with Reynolds numbers (Re=1150–7750) to clarify the mechanisms of amplitude modulation controlled by the diameter ratio (D*=1.3–3.0) and coverage ratio (R=10%–100%). By integrating dynamic response measurements with time-resolved …

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Data-Driven Reduced-Order Modeling for Aeroelastic Load Prediction of Rotor Blades

Nan Luo, Zhihao Yu, Weidong Yang

This paper proposes a data-driven model for predicting rotor fluid-structure interaction (FSI) load with efficient aeroelastic analysis. Unsteady flow-field snapshots obtained from computational fluid dynamics (CFD) simulations are first processed using Proper Orthogonal Decomposition (POD) to reduce the dimensionality of the flow …

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WPT Efficiency Optimization Strategy based on Mutual Inductance Identification and Synchronous SMC

Zheng Li, Pengfei Sun, Zhihao Yu, Shihao Gao

Aiming at the problem that the transmission efficiency of the wireless power transfer (WPT) system is restricted by the mutual inductance caused by the spatial position offset of the coupling coil and the load change, this paper proposes a mutual inductance identification …

Statistical Models of Battery Packs Considering Cell-to-Cell Variations for Degradation Characteristics and Reliability Analysis

Long Chang, Zhonghao Fei, Weibin Wang, Chen Ma et autres

Quantifying and assessing the degradation characteristics and reliability of packs under cell-to-cell variations are essential for ensuring the safe and reliable operation of electric vehicles (EVs). Therefore, based on statistical theory and a thorough investigation of cell degradation mechanisms and models, the …

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Behavior Analysis of Fine Temporary Plugging Agents and Fibers in Bridging Regions: Migration and Clogging

Jinzhou Zhao, Yinjian Huang, Lan Ren, Ran Lin et autres

Abstract Temporary plugging and diverting fracturing enhances unconventional reservoir stimulation by creating a tight sealing layer through the bridging and filling of diverters in fractures. The tightness and pressure-bearing capacity of the sealing layer are governed by the clogging efficiency of fine …

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Perforation Plugging with Ball Sealers in Horizontal Wells: Numerical Analysis of Plugging Mechanisms

Jinzhou Zhao, Qianqiu Ren, Yinjian Huang, Lan Ren et autres

Abstract During staged fracturing of multiple perforation clusters in horizontal wells of unconventional reservoirs, variations in fluid influx among clusters limit reservoir stimulation efficiency. Regulating the activation of perforation clusters through fracture opening temporary plugging is a key technique to achieve uniform …

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Imputation with Inter-Series Information from Prototypes for Healthcare Time Series

Zhihao Yu, Liantao Ma, Yasha Wang, Xu Chu

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Composite temporary plugging mechanism in horizontal well perforations

Yinjian Huang, Jinzhou Zhao, Lan Ren, Ran Lin et autres

In multi-stage fracturing of horizontal wells, fracture-opening temporary plugging is crucial in ensuring the uniform propagation of hydraulic fractures. Large-displacement, high-intensity sanding fracturing often causes severe perforation erosion, which in turn affects the performance of plugging. A composite temporary plugging method that …

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Fast Battery Parameters Identification Algorithm Based on Equivalent Circuit Model Polarization Network Comprehensive Impedance Quantification

Zhihao Yu, Shun-Yuan Wang, Luning Liu, Yu Liu et autres

The RC network in the equivalent circuit model (ECM) can accurately describe the transient of lithium batteries. However, it has many combinations of optimal parameter values, which makes it difficult for the identification results of each parameter to converge to a clear …

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A Hybrid Transformer-BiLSTM Model for Lithium-Ion Battery Health State Prediction

Long Chang, Xiangyu Zhao, Zhihao Yu, Jianchao Li

This study proposes a novel deep learning model based on a hybrid Transformer-bidirectional long short-term memory (BiLSTM) architecture, which can achieve high-precision prediction of battery state of health (SOH) through a dual-attention mechanism (self-attention combined with feature-aware attention). The model innovatively integrates …

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Research on Fast Identification Method of Lithium Battery Parameters Based on Window-Based Algorith

Zhihao Yu, Yueqing Liu, Baocai Lv, Chengming Li et autres

cn (code pays fourni par la source)