Caiping Zhang

ORCID: 0000-0003-4089-5323
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About
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Research Areas
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Electric Vehicles and Infrastructure
  • Advanced Battery Materials and Technologies
  • Fault Detection and Control Systems
  • Reliability and Maintenance Optimization
  • Laser-Matter Interactions and Applications
  • Electric and Hybrid Vehicle Technologies
  • Advanced DC-DC Converters
  • Advanced battery technologies research
  • Mass Spectrometry Techniques and Applications
  • Advanced Fiber Laser Technologies
  • Spectroscopy and Quantum Chemical Studies
  • Economics of Agriculture and Food Markets
  • Heusler alloys: electronic and magnetic properties
  • Machine Fault Diagnosis Techniques
  • Advanced Algorithms and Applications
  • Advanced Chemical Physics Studies
  • ZnO doping and properties
  • Climate Change Policy and Economics
  • Railway Systems and Energy Efficiency
  • Magnetic and transport properties of perovskites and related materials
  • Terahertz technology and applications
  • Laser-Plasma Interactions and Diagnostics
  • Control Systems and Identification

Beijing Jiaotong University
2015-2024

Central University of Finance and Economics
2010-2024

Affiliated Hospital of Youjiang Medical University for Nationalities
2024

Guangzhou University of Chinese Medicine
2024

Shanxi Normal University
2013-2023

Guangdong Medical College
2023

Zhengzhou University of Light Industry
2023

Xidian University
2022

First Hospital of Shanxi Medical University
2015-2021

Shanxi Medical University
2015-2021

Battery energy storage effectively stabilizes the electric grid and aids renewable integration by balancing supply demand in real time. The importance of such is especially crucial densely populated urban areas, where traditional techniques as pumped hydroelectric compressed-air are often not feasible.

10.1109/mpe.2017.2708812 article EN IEEE Power and Energy Magazine 2017-08-17

Battery fault diagnosis is essential for ensuring the reliability and safety of electric vehicles (EVs). The existing battery methods are difficult to detect faults at an early stage based on real-world vehicle data since lithium-ion systems usually accompanied by inconsistencies, which distinguish from faults. A method signal decomposition two-dimensional feature clustering introduced in this paper. Symplectic geometry mode (SGMD) obtain components characterizing states, distance-based...

10.1016/j.geits.2022.100009 article EN cc-by-nc-nd Green Energy and Intelligent Transportation 2022-05-14

The reliable operation of battery management systems depends critically on the accurate estimation state charge (SOC) and characterizing parameters a system. SOC employs models that must be robust against variations in cell electrochemical features, aging, operating conditions. This paper reveals commonly used schemes are fundamentally flawed providing robustness model uncertainties. Parameter methodologies adaptive design introduced this to enhance accuracy robustness. By scrutiny impact...

10.1109/tie.2015.2403796 article EN IEEE Transactions on Industrial Electronics 2015-02-13

A state-of-charge (SOC) versus open-circuit-voltage (OCV) model developed for batteries should preferably be simple, especially real-time SOC estimation. It also capable of representing different types lithium-ion (LIBs), regardless temperature change and battery degradation. must therefore generic, robust adaptive, in addition to being accurate. These challenges have now been addressed by proposing a generalized SOC-OCV few most widely used LIBs. The is from analyzing electrochemical...

10.3390/en9110900 article EN cc-by Energies 2016-11-01

Battery polarization voltage characteristics of power Li-ion batteries are investigated at different charging rates. The is small and relatively stable in the middle state charge (SOC) range, whereas both ends SOC, enlarged varies rapidly. Meanwhile, there an approximate linear relationship between rate. Taking time constant into account, acceptable current curve developed, which prevents from being out range. This takes cutoff as constraints to describe value SOC. Based on this curve,...

10.1109/tie.2014.2320219 article EN IEEE Transactions on Industrial Electronics 2014-04-25

Abstract In response to increasing concerns about domestic food safety issues, establishing tracking systems in the industry is mandatorily required under newly launched laws. However, kinds of monitoring and certification that should be set up ensure practical adoption effectiveness regulation remain unclear. This study aims analyze consumers’ preferences for milk traceability, with particular interest investigating how could affected by regarding system. Survey data from a choice‐based...

10.1111/agec.12037 article EN Agricultural Economics 2013-05-16
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