Xiaoyu Li

ORCID: 0000-0002-0947-3491
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About
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Research Areas
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Spectroscopy and Chemometric Analyses
  • Electric Vehicles and Infrastructure
  • Fault Detection and Control Systems
  • Advanced Algorithms and Applications
  • Advanced Computational Techniques and Applications
  • Remote Sensing and Land Use
  • Reliability and Maintenance Optimization
  • Electric and Hybrid Vehicle Technologies
  • Advanced Battery Materials and Technologies
  • Advanced Sensor and Control Systems
  • Machine Fault Diagnosis Techniques
  • Vehicle emissions and performance
  • Coal Properties and Utilization
  • Topic Modeling
  • Smart Grid and Power Systems
  • Gas Sensing Nanomaterials and Sensors
  • Advanced Decision-Making Techniques
  • Rough Sets and Fuzzy Logic
  • Geoscience and Mining Technology
  • Catalytic C–H Functionalization Methods
  • Statistical and Computational Modeling
  • Ammonia Synthesis and Nitrogen Reduction
  • Nuts composition and effects

Hebei University of Technology
2021-2025

Capital Medical University
2025

Shijiazhuang University
2025

Chongqing University
2024

Zhengzhou University
2024

Shenzhen University
2020-2024

Shenyang Institute of Computing Technology (China)
2024

Beijing Institute of Technology
2017-2023

Sichuan University
2010-2023

Yibin University
2022-2023

Accurate state-of-health estimation can give valuable guidelines for improving the reliability and safety of energy storage system. In this article, a novel battery degradation tracking method is proposed through fusion significant health features with Gaussian process regression (GPR). First, an advanced filter used to smooth differential thermal voltammetry (DTV) curves. Thereafter, considering relationship between DTV curves, some factors are extracted from these involve different...

10.1109/tte.2020.3028784 article EN IEEE Transactions on Transportation Electrification 2020-10-05

A thermal runaway happened in a battery cell of an electric vehicle during driving, and the fire spreads to other batteries few minutes. Based on recorded operation data, this letter analyzes process, identifies critical time points fault signals like voltages temperatures, etc., which depict start spread pack. By tracing back clues, it is concluded that cause internal short circuit (ISC), overcharge potential ISC. Then, three different patterns voltage abnormalities are compared, including...

10.1109/tpel.2020.3013191 article EN IEEE Transactions on Power Electronics 2020-07-31

An advanced eco-driving technology is widely recognized as having enormous potential to reduce the vehicle fuel consumption. However, most research on focuses stability and safety for operating while disregarding its comfort economy. To meet requirements comfort, at same time, enhance economic performance of vehicles, an improved hierarchical model predictive control cooperative optimization strategy proposed cell hybrid electric with car-following scenario. Specifically, upper-level...

10.1016/j.geits.2024.100176 article EN cc-by-nc-nd Green Energy and Intelligent Transportation 2024-01-19

In order to properly manage lithium-ion batteries of electric vehicles (EVs), it is essential build the battery model and estimate state charge (SOC). this paper, fractional forms Thevenin partnership for a new generation (PNGV) models are built, which parameters including orders corresponding resistance capacitance values simultaneously identified based on genetic algorithm (GA). The relationships between different SOC established analyzed. calculation precisions (FOM) integral (IOM)...

10.3390/en9030184 article EN cc-by Energies 2016-03-10

Battery remaining useful life (RUL) estimation is critical to battery management and performance optimization of electric vehicles (EVs). In this paper, we present an effective way estimate RUL online by using the support vector machine (SVM) algorithm. By studying characteristics degradation process, rising terminal voltage changing derivative (DV) during charging process are introduced as training variables SVM algorithm determine RUL. The then applied build model predict real cycle...

10.3390/en10050691 article EN cc-by Energies 2017-05-14

Dependence of epoxy toughness on the backbone structure hyperbranched polyether modifiers was investigated.

10.1039/c4ra10974k article EN RSC Advances 2014-12-01
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