David Rosewater

David Rosewater, Ph.D.

Electrical Engineer

Contact Information

David Rosewater, Ph.D. / (505) 844-3722

Biography

David Rosewater is a Senior Member of the Technical Staff at the Sandia National Laboratories. He received a B.S. and an M.S. in electrical engineering from Montana Tech of the University of Montana, as well as a PhD in electrical and computer engineering from the University of Texas at Austin. His research interests include modeling and simulation, performance testing, safety, and standardization of battery energy storage systems. From 2009 to 2011, he worked at the Idaho National Laboratory developing advanced spectral impedance measurement techniques for hybrid vehicle battery cells. He is a Senior Member in the IEEE and currently chairs the IEEE P2686 working group developing a recommended practice for design and configuration of battery management systems in energy storage applications. David holds a professional engineering license in the state of New Mexico.

Research Interests

Energy storage analytics: modeling and simulation, optimal control for grid applications, performance testing and test/duty-cycle development

Energy storage system safety: hazard analysis, systems integration, accident analysis, thermal runaway in lithium-ion battery cells

Education

Ph.D. in Electrical & Computer Engineering, The University of Texas at Austin (Austin, TX), 2020

M.S. in Electrical Engineering, Montana Tech of the University of Montana (Butte, MT), 2011

B.S. in Electrical Engineering, Montana Tech of the University of Montana (Butte, MT), 2009

Google Scholar

David Rosewater, Ph.D.

Key Publications

D.M. Rosewater, B. Schenkman, S. Santoso Adaptive Modeling Process for a Battery Energy Management System 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Sorrento, Italy, 2020, pp. 571-576, DOI: 10.1109/SPEEDAM48782.2020.9161886.

D.M. Rosewater, D.A. Copp, T.A. Nguyen, R.H. Byrne, S. Santoso Battery Energy Storage Models for Optimal Control IEEE Access, vol. 7, pp. 178357-178391, 2019, DOI: 10.1109/ACCESS.2019.2957698.

D.M. Rosewater, R. Baldick, S. Santoso Risk-Averse Model Predictive Control Design for Battery Energy Storage Systems IEEE Transactions on Smart Grid, vol. 11, no. 3, pp. 2014-2022, May 2020, DOI: 10.1109/TSG.2019.2946130.

P. Siratarnsophon, K.W. Lao, D.M. Rosewater, S. Santoso A Voltage Smoothing Algorithm Using Energy Storage PQ Control in PV-Integrated Power Grid IEEE Transactions on Power Delivery, vol. 34, no. 6, pp. 2248-2250, Dec. 2019, DOI: 10.1109/TPWRD.2019.2892611.

D.M. Rosewater, S. Ferreira, D. Schoenwald, J. Hawkins, S. Santoso Battery Energy Storage State-of-Charge Forecasting: Models, Optimization, and Accuracy IEEE Transactions on Smart Grid, vol. 10, no. 3, pp. 2453-2462, May 2019, DOI: 10.1109/TSG.2018.2798165.

Key Patents

Crosstalk Compensation in Analysis of Energy Storage Devices Patent Number: US 8762109 B2, Publication Date June 24, 2014