Yinjiao Xing

ORCID: 0000-0003-1711-3709
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About
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Research Areas
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Reliability and Maintenance Optimization
  • Fault Detection and Control Systems
  • Advanced Battery Materials and Technologies
  • Electric Vehicles and Infrastructure
  • Software Reliability and Analysis Research
  • Extraction and Separation Processes
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced battery technologies research
  • Advanced Fiber Optic Sensors
  • Analytical Chemistry and Sensors
  • Electrical and Bioimpedance Tomography
  • Particle Dynamics in Fluid Flows
  • Nanomaterials and Printing Technologies
  • Recycling and Waste Management Techniques

University of Maryland, College Park
2015-2020

Life Cycle Engineering (United States)
2015-2018

City University of Hong Kong
2011-2014

The battery management system (BMS) is a critical component of electric and hybrid vehicles. purpose the BMS to guarantee safe reliable operation. To maintain safety reliability battery, state monitoring evaluation, charge control, cell balancing are functionalities that have been implemented in BMS. As an electrochemical product, acts differently under different operational environmental conditions. uncertainty battery’s performance poses challenge implementation these functions. This paper...

10.3390/en4111840 article EN cc-by Energies 2011-10-31

10.1016/j.ijepes.2018.12.016 article EN International Journal of Electrical Power & Energy Systems 2018-12-12

Premature battery drain, swelling and fires/explosions in lithium-ion batteries have caused wide-scale customer concerns, product recalls, huge financial losses a wide range of products including smartphones, laptops, e-cigarettes, hoverboards, cars, commercial aircraft. Most these problems are by defects which difficult to detect using conventional nondestructive electrical methods disassembly-based destructive analysis. This paper develops an effective computed tomography (CT)-based...

10.3390/en11040925 article EN cc-by Energies 2018-04-13

Current commercial battery management systems (BMSs) do not provide adequate information in real time to mitigate issues of cells such as thermal runway. This paper explores and evaluates the integration fiber optic Bragg grating (FBG) sensors inside lithium-ion (LiB) coin cells. Strain internal external temperatures were recorded using FBG sensors, evaluated at a cycling C/20 rate. The preliminary results present scanning electron microscope (SEM) images electrode degradation upon sensor...

10.3390/en10070838 article EN cc-by Energies 2017-06-23

One of the root causes lithium battery failure is dendrite formation. Dendrites can result in internal short circuits and ultimately thermal runaway, fires, explosions. Unfortunately, it has been difficult to study dendrites due an inability conduct in-situ observations. This paper presents observation approach, consisting optically transparent cell observe growth evolution while concurrently monitoring electrical characteristics under various current densities.

10.1109/access.2018.2805281 article EN cc-by-nc-nd IEEE Access 2018-01-01

The demand for battery-powered products, ranging from consumer goods to electric vehicles, keeps increasing. As a result, batteries are manufactured and shipped globally, the safe reliable transport of production sites suppliers consumers, as well disposal, must be guaranteed at all times. This is especially true lithium batteries, which have been identified dangerous when they transported. paper reviews international key national (U.S., Europe, China, South Korea, Japan) air, road, rail,...

10.3390/en10060793 article EN cc-by Energies 2017-06-09

Health monitoring is used to analyze and predict the battery health status. However, no matter what methods parameters are, a major aim improve reliability through surveillance prognostics. Hence, latest known of state estimation life prediction based on are discussed in this paper. Through comparing their characteristics respectively, prognostics-based fusion technique proposed that combines physics-of-failure (PoF) with data-driven technology. The approach not only investigates failure...

10.1109/isi.2011.5984090 article EN 2011-07-01

Battery manufacturers and device companies often test batteries at high temperature to accelerate the degradation process. The data collected from these accelerated tests are then used determine battery performance reliability over specified nominal operating temperatures. In many cases, assume an Arrhenius model, or prescribe a decade rule conduct analysis. This paper presents flaws in testing of using model rule, with emphasis on lithium-ion batteries. Experimental case studies demonstrate...

10.3390/app8101786 article EN cc-by Applied Sciences 2018-10-01

Batteries play a critical role for the reliability of battery-powered systems. The prognostics in batteries provide warning to advent failure, which requires timely maintenance and replacement batteries. This paper reviews current research on battery degradation models focuses online implementation prognostic algorithms. particle filtering approach is utilized track performance based two that are highly efficient applications. An experimental demonstration this method provided. Through...

10.1109/phm.2012.6228847 article EN 2012-05-01

Because of their simplicity and dynamic response, current pulse series are often used to extract parameters for equivalent electrical circuit modeling Li-ion batteries. These models then applied performance simulation, state estimation, thermal analysis in electric vehicles. However, these methods have two problems: The assumption linear dependence the matrix columns negative estimated from discrete-time equations least-squares methods. In this paper, continuous-time exploited construct a...

10.3390/en9070539 article EN cc-by Energies 2016-07-14

Qualification testing of Li-ion batteries usually involves battery capacity fade trend monitoring over a large number repeated charge/discharge cycles. However, due to manufacturing-induced variations, trends from the same as well different production lots can differ each other. This paper discusses real-world problem where particular lot exhibit than that exhibited by healthy earlier lots. The also outlines approach identify these anomalous at earliest stage and provides case study applies...

10.1109/icphm.2018.8448735 article EN 2018-06-01

Nexus 6P smartphones have been beset by battery drain issues, which causing premature shutdown of the phone even when charge indicator displays a significant remaining runtime. To investigate issue, two (one new and one used) were disassembled their batteries evaluated using computerized tomography (CT) scan analysis, electrical performance (capacity, resistance, impedance) tests, cycle life capacity fade tests. The “used” smartphone delivered only 20% rated tested in first then 15% second...

10.3390/en11040841 article EN cc-by Energies 2018-04-04

Estimating remaining useful life (RUL) is a crucial part in successful online monitoring system. Extrapolation of degradation model based on particle filtering (PF) approach, which implemented state-space model, popular method to predict RUL. Taking into account the characteristics initial setting process and measurement noise has great impact predicted result. This paper discusses individual performance two PFs, sequential importance resampling PF auxiliary PF, when they come different...

10.1109/icept-hdp.2012.6474786 article EN 2012-08-01

Recent Li-ion battery fire incidents in smartphones, hoverboards, e-cigarettes, electric vehicles, and aircrafts highlight the limited understanding of thermal runaway failure inadequacy current safety or protection mechanisms. can occur due to presence material defects, operation under abusive/extreme conditions, cumulative damage normal operation. Electrical characterization batteries conditions is necessary improve safety. In past various studies have been conducted investigate failures...

10.1149/ma2017-02/4/383 article EN Meeting abstracts/Meeting abstracts (Electrochemical Society. CD-ROM) 2017-09-01
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