About

T. Cole Jones is an Associate Professor of History at Purdue University's College of Liberal Arts. His research focuses on early American history, with particular expertise in the American Revolution, Colonial British North America, comparative revolutions, and the cultural history of violence and warfare. He is the author of 'Captives of Liberty: Prisoners of War and the Politics of Vengeance in the American Revolution,' published by Penn Press in 2020, which has received multiple awards including the 2021 Society of the Cincinnati Prize and the 2022 Excellence in American History Book Award. The book has been reviewed in numerous academic journals and major publications. Jones earned his Ph.D. in early American history from Johns Hopkins University and his B.A. in history from Duke University. Prior to his appointment at Purdue, he was the Hench Post-Dissertation Fellow at the American Antiquarian Society and a fellow at the New-York Historical Society supported by the National Endowment for the Humanities. His scholarly work includes numerous articles in respected academic journals and edited collections. He is currently working on a new book titled 'Tory Rising: Insurrection in the Revolutionary South,' supported by fellowships from various historical and research institutions. Jones also welcomes inquiries from prospective graduate students interested in the era of the American Revolution.

Research topics

• Composite material
• Engineering
• Chemistry
• Materials science
• Computer Science
• Electrical engineering
• Automotive engineering
• Nuclear engineering
• Mechanical engineering
• Thermodynamics
• Structural engineering
• Metallurgy
• Environmental science
• Forensic engineering

Selected publications

• Data-driven autoencoder neural network for onboard BMS Lithium-ion battery degradation prediction

  Journal of Energy Storage · 2024-01-24 · 36 citations

  article
  PublisherDOI

• 2024 IGWS calendar

  Indiana Journal of Earth Sciences · 2024-01-02

  articleOpen access

  The annual Indiana Geological and Water Survey calendar focuses on an area of Survey research, interest or history. The topic of the 2024 calendar is critical minerals, earth materials that are essential to economic prosperity and national security. They include metals like lithium, nickel, and cobalt, rare earth elements, and other valuable minerals. Critical minerals are found in small concentrations, often with other mineral deposits, making them difficult and expensive to extract. The U.S. is increasingly dependent upon foreign sources of the processed versions of critical minerals. China controls the market for processing and refining, which leaves most of the world reliant upon imports.

  PublisherOA PDFDOI

• Direct measurement of internal temperatures of commercially-available 18650 lithium-ion batteries

  Scientific Reports · 2023-09-02 · 22 citations

  articleOpen access1st authorCorresponding

  Direct access to internal temperature readings in lithium-ion batteries provides the opportunity to infer physical information to study the effects of increased heating, degradation, and thermal runaway. In this context, a method to insert temperature sensors into commercial 18650 cells to determine the short- and long-term effects through characterization testing is developed. Results show that sensor insertion only causes a decrease in capacity of 0.5-2.3%, and an increase in DC resistance of approximately 15 mΩ. The temperatures of the modified cells are approximately 0.5 °C higher than the control cells, the difference between the internal and external temperature readings of the modified cells is approximately 0.4 °C, and the modified cells exhibit the same temperature behavior and trend during cycling as the control cells. The cells are able to operate and collect data for 100-150 cycles before their capacities fade and resistances increase beyond what is observed in the control cells. The results of the testing show that cells modified with internal temperature sensors provide useful internal temperature data for cells that have experienced little or no cyclic aging.

  PublisherOA PDFDOI

• Analysis of Capacity Decay, Impedance, and Heat Generation of Lithium-ion Batteries Experiencing Multiple Simultaneous Abuse Conditions

  Energy Engineering · 2023-01-01 · 2 citations

  articleOpen access1st author

  Abuse of Lithium-ion batteries, both physical and electrochemical, can lead to significantly reduced operational capabilities. In some instances, abuse can cause catastrophic failure, including thermal runaway, combustion, and explosion. Many different test standards that include abuse conditions have been developed, but these generally consider only one condition at a time and only provide go/no-go criteria. In this work, different types of cell abuse are implemented concurrently to determine the extent to which simultaneous abuse conditions aggravate cell degradation and failure. Vibrational loading is chosen to be the consistent type of physical abuse, and the first group of cells is cycled at different vibrational frequencies. The next group of cells is cycled at the same frequencies, with multiple charge pulses occurring during each discharge. The final group of cells is cycled at the same frequencies, with a partial nail puncture occurring near the beginning of cycling. The results show that abusing cells with vibrational loading or vibrational loading with current pulses does not cause a significant decrease in operational capabilities while abusing cells with vibrational loading and a nail puncture drastically reduces operational capabilities. The cells with vibration only experience an increase in internal resistance by a factor of 1.09–1.26, the cells with vibration and current pulses experience an increase in internal resistance by a factor of 1.16–1.23, and all cells from each group reach their rated lifetime of 500 cycles without reaching their end-of-life capacity. However, the cells with vibration and nail puncture experience an increase in internal resistance by a factor of 6.83–22.1, and each cell reaches its end-of-life capacity within 50 cycles. Overall, the results show that testing multiple abuse conditions simultaneously provides a better representation of the extreme limitations of cell operation and should be considered for inclusion in reference test standards.

  PublisherOA PDFDOI

• Predicting the discharge capacity of a lithium-ion battery after nail puncture using a Gaussian process regression with incremental capacity analysis

  Energy · 2023-10-13 · 10 citations

  article1st author
  PublisherDOI

• 2023 IGWS calendar

  Indiana Journal of Earth Sciences · 2023-01-03

  articleOpen access

  This year's Indiana Geological and Water Survey calendar focuses on our new state fossil, the mastodon (Mammut americanum).

  PublisherDOI

• Investigation of physical effects on prismatic lithium-ion cell electrodes after partial nail puncture using Raman spectroscopy and incremental capacity analysis

  eTransportation · 2022-04-25 · 14 citations

  article1st author
  PublisherDOI

• Operando Monitoring of Electrode Temperatures During Overcharge‐Caused Thermal Runaway

  Energy Technology · 2021 · 26 citations

  • Materials science
  • Nuclear engineering
  • Composite material

  Lithium‐ion batteries’ (LIBs) failure due to abusive cycling conditions can result in thermal runaway, which calls for reliable real‐time battery thermal safety monitoring. Herein, an effective method for LIB thermal runaway detection using a resistant temperature detector (RTD) is compared with a conventional battery surface temperature measurement. A direct electrode temperature measurement technique based on additive manufacturing‐enabled application of miniature RTDs for measurement of internal temperature within large‐capacity Li‐ion pouch cells is used. The miniature RTDs are embedded in a customized electrochemically inactive polymeric substrate for real‐time thermal safety monitoring during overcharge abuse. Electrode temperature profiles under different conditions of overcharge (at 1 and 5 C rate, charged until battery explosion) are analyzed and mechanisms of heat generation in LIBs during overcharge‐induced thermal runaway are investigated. The internal RTDs detect the onset temperature of the solid−electrolyte interface decomposition ≈10 s earlier than the sensors attached to the battery surface. A maximum temperature gradient of ≈200 °C is observed between the electrode and the battery surface during overcharge‐induced thermal runaway. The internal RTDs are shown as a possible guide for sensor placement location to capture the maximum temperature within the LIBs during abuse events.

  PublisherDOI

• Determining the effects of non-catastrophic nail puncture on the operational performance and service life of small soft case commercial Li-ion prismatic cells

  eTransportation · 2021 · 20 citations

  1st authorCorresponding
  • Materials science
  • Composite material
  • Automotive engineering
  PublisherOA PDFDOI

• Overdischarge Detection and Prevention With Temperature Monitoring of Li-Ion Batteries and Linear Regression-Based Machine Learning

  Journal of Electrochemical Energy Conversion and Storage · 2021-05-31 · 15 citations

  article

  Abstract This work focuses on the use of linear regression analysis-based machine learning for the prediction of the end of discharge of a prismatic Li-ion cell. The cell temperature was recorded during the cycling of Li-ion cells and the relation between the open circuit voltage (OCV) and cell temperature was used in the development of the linear regression-based machine learning algorithm. The peak temperature was selected as the indicator of battery end of discharge. A battery management system (BMS) using a pyboard microcontroller was constructed to monitor the temperature of the cell under test and was also used to control a MOSFET that acted as a switch to disconnect the cell from the circuit. The method used an initial 10 charge and discharge cycles at a rate of 1C as the training data, then another charge and discharge cycle for the testing data. During the test cycling, the discharge was continued beyond the cutoff voltage to initiate an overdischarge while the temperature of the cell was continuously monitored. When the temperature of the cell exceeded the predetermined threshold, the pyboard triggered the MOSFET to disconnect the cell and stop the overdischarge. The experiment was performed on three different cells, and the overdischarge for each was secured within 0.1 V of the cutoff voltage. The results of these experiments show that a linear regression-based analysis can be implemented to detect an overdischarge condition of a cell based on the anticipated peak temperature during discharge.

  PublisherDOI

Frequent coauthors

• Vikas Tomar

  10 shared

• Meghana Sudarshan

  5 shared

• Ian Tagge

  Biogen (United States)

  4 shared

• David W. C. MacMillan

  Princeton University

  4 shared

• Sara Clifford

  Indiana Geological and Water Survey

  3 shared

• Thomas E. Adams

  Purdue University West Lafayette

  3 shared

• Bing Li

  University of Science and Technology Beijing

  3 shared

• Thomas H. Graham

  3 shared

Education

• MS, PHD, Aeronautics and Astronautics

  Purdue University System

  2023

• BS, Mechanical Engineering

  University of Hawaii System

  2019

Awards & honors

• 2021 Society of the Cincinnati Prize from the American Revol…
• 2022 Excellence in American History Book Award from the Nati…
• honorable mentions for the Colonel Richard W. Ulbrich Memori…
• honorable mentions for the Harry M. Ward Book Prize from the…