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Rui Xiong

Rui Xiong

Beijing Institute of Technology
China

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Electron
  • Electrical engineering

Rui Xiong mainly investigates State of charge, Battery, Control theory, Voltage and Electronic engineering. His State of charge research is multidisciplinary, relying on both Kalman filter, Lithium-ion battery, Online model and Robustness. His Battery study combines topics in areas such as Scale, Simulation and State.

His Control theory research incorporates themes from Open-circuit voltage, Electric vehicle and Thévenin's theorem. His work on Equivalent circuit is typically connected to Schedule as part of general Voltage study, connecting several disciplines of science. His studies deal with areas such as Data-driven and Electric power system as well as Electronic engineering.

His most cited work include:

  • Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach (534 citations)
  • State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model (445 citations)
  • A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles (308 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Battery, State of charge, Control theory, Condensed matter physics and Voltage. Rui Xiong has included themes like Electric vehicle, Automotive engineering and Lithium in his Battery study. His studies in State of charge integrate themes in fields like Kalman filter, Equivalent circuit, Open-circuit voltage and Electronic engineering.

His Thévenin's theorem research extends to Control theory, which is thematically connected. His Condensed matter physics study incorporates themes from Magnetic anisotropy, Electric field and Electrical resistivity and conductivity. Rui Xiong combines subjects such as State and Battery management systems with his study of Voltage.

He most often published in these fields:

  • Battery (32.05%)
  • State of charge (21.93%)
  • Control theory (21.45%)

What were the highlights of his more recent work (between 2018-2021)?

  • Battery (32.05%)
  • Voltage (17.11%)
  • State of charge (21.93%)

In recent papers he was focusing on the following fields of study:

Rui Xiong focuses on Battery, Voltage, State of charge, Control theory and Condensed matter physics. Rui Xiong does research in Battery, focusing on Lithium-ion battery specifically. His work deals with themes such as Time domain, Electrical impedance, Fault, Battery management systems and State of health, which intersect with Voltage.

His study looks at the relationship between State of charge and fields such as Kalman filter, as well as how they intersect with chemical problems. When carried out as part of a general Control theory research project, his work on Robustness and Extended Kalman filter is frequently linked to work in Convergence, therefore connecting diverse disciplines of study. His Condensed matter physics research integrates issues from Thermoelectric effect, Magnetic anisotropy, Oscillation, Domain wall and Magnetic field.

Between 2018 and 2021, his most popular works were:

  • Fractional-Order Model-Based Incremental Capacity Analysis for Degradation State Recognition of Lithium-Ion Batteries (71 citations)
  • Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles (70 citations)
  • A Novel Fractional Order Model for State of Charge Estimation in Lithium Ion Batteries (60 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Electron
  • Electrical engineering

His main research concerns Battery, State of charge, Control theory, Lithium-ion battery and Battery management systems. His study in Battery is interdisciplinary in nature, drawing from both Electric vehicle, Reliability engineering, Lithium and Short circuit, Voltage. As a member of one scientific family, Rui Xiong mostly works in the field of Voltage, focusing on State of health and, on occasion, Constant current, Electrical impedance and Sensitivity.

The study incorporates disciplines such as Kalman filter, Extended Kalman filter, Recursive least squares filter and Noise in addition to State of charge. His Control theory study frequently draws connections to adjacent fields such as Least squares. Rui Xiong has included themes like Simulation, State observer and Automotive industry in his Lithium-ion battery study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach

Hongwen He;Rui Xiong;Jinxin Fan.
Energies (2011)

965 Citations

State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model

Hongwen He;Rui Xiong;Xiaowei Zhang;Fengchun Sun.
IEEE Transactions on Vehicular Technology (2011)

697 Citations

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Yongzhi Zhang;Rui Xiong;Hongwen He;Michael G. Pecht.
IEEE Transactions on Vehicular Technology (2018)

500 Citations

Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

Rui Xiong;Jiayi Cao;Quanqing Yu;Hongwen He.
IEEE Access (2018)

494 Citations

Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming

Jiankun Peng;Hongwen He;Rui Xiong.
Applied Energy (2017)

447 Citations

A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles

Rui Xiong;Rui Xiong;Fengchun Sun;Zheng Chen;Hongwen He.
Applied Energy (2014)

447 Citations

Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles

Hongwen He;Xiaowei Zhang;Rui Xiong;Yongli Xu.
Energy (2012)

437 Citations

Comparison study on the battery models used for the energy management of batteries in electric vehicles

Hongwen He;Rui Xiong;Hongqiang Guo;Shuchun Li.
Energy Conversion and Management (2012)

419 Citations

Towards a smarter battery management system: A critical review on battery state of health monitoring methods

Rui Xiong;Linlin Li;Jinpeng Tian.
Journal of Power Sources (2018)

413 Citations

Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach

Rui Xiong;Hongwen He;Fengchun Sun;Kai Zhao.
IEEE Transactions on Vehicular Technology (2013)

375 Citations

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