Engineering topics
Barkholtz, Heather
Publications and source records attributed to Barkholtz, Heather.
Multi-scale thermal stability study of commercial lithium-ion batteries as a function of chemistry and state-of-charge.
Abstract not provided.
Durability and Reliability of Commercial Lithium-Ion Cells as a Function of Chemistry and Cycling Conditions.
Abstract not provided.
Thermal stability study of commercial lithium-ion batteries as a function of cathode chemistry and state-of-charge.
Abstract not provided.
Ultralow-loading platinum-cobalt fuel cell catalysts derived from imidazolate frameworks
Achieving high catalytic performance with the lowest possible amount of platinum is critical for fuel cell cost reduction. Here we describe a method of preparing highly active yet stable electrocatalysts containing ultralow-loading platinum content by using cobalt or bimetallic cobalt and zinc zeolitic imidazolate frameworks as precursors. Synergistic catalysis between strained platinum-cobalt core-shell nanoparticles over a platinum-group metal (PGM)–free catalytic substrate led to excellent fuel cell performance under 1 atmosphere of O 2 or air at both high-voltage and high-current domains. Two catalysts achieved oxygen reduction reaction (ORR) mass activities of 1.08 amperes per milligram of platinum (A mg Pt −1 ) and 1.77 A mg Pt −1 and retained 64% and 15% of initial values after 30,000 voltage cycles in a fuel cell. Computational modeling reveals that the interaction between platinum-cobalt nanoparticles and PGM-free sites improves ORR activity and durability.
Comprehensive Study of Commercial Lithium-Ion Cell Aging Behavior and Abuse Response.
Abstract not provided.
Aging Behavior and Abuse Response of Commercial Lithium-Ion Cells as a Function of Chemistry and Cycling Conditions.
Abstract not provided.
Battery Failure from a Materials Electrochemical and Thermal Modeling Perspective.
Abstract not provided.
Battery Failure from a Materials Electrochemical and Thermal Modeling Perspective.
Abstract not provided.
MRS Tutorial: Safety Considerations of Materials at the Cell and System Level.
Abstract not provided.
The DOE OE Energy Storage Systems Safety Roadmap Fostering Confidence in the Safety and Reliability of ESS.
Abstract not provided.
A Database for Comparative Electrochemical Performance of Commercial 18650-Format Lithium-Ion Cells
Lithium-ion batteries are a central technology to our daily lives with widespread use in mobile devices and electric vehicles. These batteries are also beginning to be widely used in electric grid infrastructure support applications which have stringent safety and reliability requirements. Typically, electrochemical performance data is not available for modelers to validate their simulations, mechanisms, and algorithms for lithium-ion battery performance and lifetime. In this paper, we report on the electrochemical performance of commercial 18650 cells at a variety of temperatures and discharge currents. We found that LiFePO 4 is temperature tolerant for discharge currents at or below 10 A whereas LiCoO 2 , LiNi x Co y Al 1-x-y O 2 , and LiNi 0.80 Mn 0.15 Co 0.05 O 2 exhibited optimal electrochemical performance when the temperature is maintained at 15°C. LiNi x Co y Al 1-x-y O 2 showed signs of lithium plating at lower temperatures, evidenced by irreversible capacity loss and emergence of a high-voltage differential capacity peak. Furthermore, all cells need to be monitored for self-heating, as environment temperature and high discharge currents may elicit an unintended abuse condition. Overall, this study shows that lithium-ion batteries are highly application-specific and electrochemical behavior must be well understood for safe and reliable operation. Additionally, data collected in this study is available for anyone to download for further analysis and model validation.
Multi-scale Thermal Stability Study of Lithium-ion Batteries as a Function of Chemistry and State of Cahrge.
Abstract not provided.
Multi-scale Thermal Stability Study of Lithium-ion Batteries as a Function of Chemistry and State of Charge.
Abstract not provided.
Estimating Lithium-ion Battery Fire Behavior from ARC Data Using CFAST Fire Model.
Abstract not provided.