Andrew Burke

ORCID: 0000-0002-4245-0056
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About
Contact & Profiles
Research Areas
  • Advanced Battery Technologies Research
  • Electric Vehicles and Infrastructure
  • Electric and Hybrid Vehicle Technologies
  • Supercapacitor Materials and Fabrication
  • Advancements in Battery Materials
  • Vehicle emissions and performance
  • Fuel Cells and Related Materials
  • Energy, Environment, and Transportation Policies
  • Real-time simulation and control systems
  • Advanced Battery Materials and Technologies
  • Conducting polymers and applications
  • Fault Detection and Control Systems
  • Biodiesel Production and Applications
  • Advanced Combustion Engine Technologies
  • Hybrid Renewable Energy Systems
  • Advanced battery technologies research
  • Electrocatalysts for Energy Conversion
  • Vehicle Dynamics and Control Systems
  • Mechanical Engineering and Vibrations Research
  • Railway Systems and Energy Efficiency
  • Extraction and Separation Processes
  • Reliability and Maintenance Optimization
  • Transport Systems and Technology
  • Analytical Chemistry and Sensors
  • Cooperative Studies and Economics

University of California, Davis
2014-2025

Idaho National Laboratory
1988-2005

Joint Research Centre
2004

Union College
1983-1986

General Electric (United States)
1980-1983

Jet Propulsion Laboratory
1979

Cornell University
1962-1968

Princeton University
1967

Columbia University
1917

Faculty of 1000 (United States)
1917

10.1016/s0378-7753(00)00485-7 article EN Journal of Power Sources 2000-11-01

The application of batteries and ultracapacitors in electric energy storage units for battery powered (EV) charge sustaining plug-in hybrid-electric (HEV PHEV) vehicles have been studied detail. use IC engines hydrogen fuel cells as the primary converters hybrid was considered. study focused on lithium-ion carbon/carbon technologies most likely to be used future vehicles. key findings are follows. 1) density power characteristics both ultracapacitor sufficient design attractive EVs, HEVs,...

10.1109/jproc.2007.892490 article EN Proceedings of the IEEE 2007-04-01

People today are very familiar with different battery technologies, from small zinc-air button cells to AAA alkali spiral wound lithium ion laptop batteries fifty-pound lead acid found in automobiles. This situation has come about because people rely heavily on power. Common applications include, for instance, power cell phones, Sony Walkman, PDAs, computers, Ipod players, digital cameras, and on. In sharp contrast, much less capacitor although capacitors also store energy.

10.1149/2.f08081if article EN The Electrochemical Society Interface 2008-03-01

10.1016/j.jechem.2020.11.013 article EN Journal of Energy Chemistry 2020-11-19

This article is concerned with the design and characteristics of electrochemical double layer capacitors (EDLCs), in particular role nanostructured carbons how they function.

10.1149/2.f05081if article EN The Electrochemical Society Interface 2008-03-01

Lithium-ion batteries play a pivotal role in wide range of applications, from electronic devices to large-scale electrified transportation systems and grid-scale energy storage. Nevertheless, they are vulnerable both progressive aging unexpected failures, which can result catastrophic events such as explosions or fires. Given their expanding global presence, the safety these potential hazards serious malfunctions now major public concerns. Over past decade, scholars industry experts...

10.1016/j.pecs.2023.101142 article EN cc-by-nc-nd Progress in Energy and Combustion Science 2024-01-19

Battery failures, although rare, can significantly impact applications such as electric vehicles. Minor faults at cell level might lead to catastrophic failures and thermal runaway over time, underscoring the importance of early detection real-time diagnosis. This article offers a concise yet comprehensive review analysis mechanisms that cause battery failures. It emphasizes distinctions between controlled laboratory tests practical scenarios, where safety hazards occur during manufacturing...

10.1016/j.jpowsour.2024.234111 article EN cc-by-nc-nd Journal of Power Sources 2024-02-15

As the popularity of electric vehicles (EVs) and smart grids continues to rise, so does demand for batteries. Within landscape battery-powered energy storage systems, battery management system (BMS) is crucial. It provides key functions such as state estimation (including charge, health, safety, thermal management) well cell balancing. Its primary role ensure safe operation. However, due limited memory computational capacity onboard chips, achieving this goal challenging, both theory...

10.3390/en16114403 article EN cc-by Energies 2023-05-30

This paper focuses on ultracapacitors (electrochemical capacitors) as energy storage in vehicle applications and thus evaluates the present state-of-the-art of ultracapacitor technologies their suitability for use electric hybrid drivelines various types vehicles. A key consideration determining applicability a particular application is proper assessment power requirements. For hybrid–electric vehicles, issues are useable requirement maximum pulse at high efficiency. Prius size vehicle, if...

10.1002/er.1654 article EN International Journal of Energy Research 2009-12-17

Abstract Electrochemical capacitors (i.e., supercapacitors) as energy storage technologies have attracted a lot of attention because the increasing demand for efficient high‐power delivery. Over past decades, various advanced electrode materials and cell design been developed to improve performance electrochemical capacitors. Hybrid pseudocapacitors achieve much higher density due their fast surface redox reactions. However, although all them can be classified capacitors, different charge...

10.1002/aenm.202002192 article EN Advanced Energy Materials 2020-11-11

Despite great progress in battery safety modeling, accurately predicting the evolution of multiphysics systems is extremely challenging. The question on how to ensure billions automotive batteries during their lifetime remains unanswered. In this study, we overcome challenge by developing machine learning techniques based recorded data that are uploaded cloud. Using charging voltage and temperature curves from early cycles yet exhibit symptoms failure, apply data-driven models both predict...

10.1016/j.isci.2022.104172 article EN cc-by-nc-nd iScience 2022-03-28
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