Donald Docimo

  • Curriculum Vitae
  • ddocimo@illinois.edu
  • Ph.D. – The Pennsylvania State University, 2017
  • M.S. – The Pennsylvania State University, 2015
  • B.S. – The College of New Jersey, 2012
  • Research Interests: Hierarchical control, electro-thermal systems, battery pack modeling and control, building energy systems

 

I am a postdoctoral research associate within the Alleyne Research Group focusing on the intersection of control techniques and energy systems. This research area is of critical importance for the increasing need to integrate renewable resources into the electric grid and reduce thermal challenges associated with electrical systems. To this end, I am currently working on extending hierarchical energy management strategies for coupled thermal and electrical systems and developing related testbeds for validation. My past research includes modeling and control of battery packs for reducing degradation, modeling of building energy systems for demand response, and state estimation of photovoltaic systems.

In addition to my research experience, I am committed to bringing my controls and energy system knowledge to education settings. In 2017, I was awarded a graduate teaching fellowship at the Pennsylvania State University, planning and instructing the senior-level course Powertrain System Modeling, Simulation and Control. When developing the lesson plans and in-class experience, I utilized my experience as a teaching assistant for Thermodynamics I and the lab course Dynamic Systems Laboratory to improve my teaching effectiveness. I am also committed to online course development, having developed the Model-Based Design Series on Battery Systems for educating engineering students on control techniques as applied to hybrid-electric vehicle battery packs.

 

Current Research

The improved understanding and control of coupled thermal and electrical subsystems is a rising challenge associated with electric vehicles and other applications. My current research addresses this issue by extending hierarchical energy management strategies and validating their effectiveness through developed testbeds. In addition, I am leveraging my battery pack modeling and control experience to assist incorporating such devices into ARG tools.

 

Publications (Journal)

  1. D.J. Docimo and H.K. Fathy, “Demand Response Using Heterogeneous Thermostatically Controlled Loads: Characterization of Aggregate Power Dynamics,” J. of Dynamic Systems, Measurement, and Control, vol. 139, no. 10, pp. 101009, 2017.
  2. D.J. Docimo, M. Ghanaatpishe, and A. Mamun, “Extended Kalman Filtering to Estimate Temperature and Irradiation for Maximum Power Point Tracking of a Photovoltaic Module,” Energy, vol. 120, pp. 47-57, 2017.
  3. D.J. Docimo and H.K. Fathy, “Multivariable State Feedback Control as a Foundation for Lithium-Ion Battery Pack Charge and Capacity Balancing,” J. of the Electrochemical Society, vol. 164, no. 2, pp. A61-A70, 2017.
  4. M.J. Rothenberger, D.J. Docimo, M. Ghanaatpishe, and H.K. Fathy, “Genetic Optimization and Experimental Validation of a Test Cycle that Maximizes Parameter Identifiability for a Li-Ion Equivalent-Circuit Battery Model,” J. of Energy Storage, vol. 4, pp. 156-166, 2015.

Publications (Magazine)

  1. D.J. Docimo, M. Ghanaatpishe, M.J. Rothenberger, C.D. Rahn, and H.K. Fathy, “The Lithium-Ion Battery Modeling Challenge: A Dynamic Systems and Control Perspective,” Dynamic Systems and Control Mag., vol. 136, no. 6, pp. 7-14, June, 2014.

Publications (Conference)

  1. D.J. Docimo and H.K. Fathy, “Characterization of Damping and Beating Effects Within the Aggregate Power Demand of Heterogeneous Thermostatically Controlled Loads,” in ASME 2015 Dynamic Systems and Control Conf., 2015.
  2. D.J. Docimo, M. Ghanaatpishe, and A. Mamun, “Feedback-Based Temperature and Irradiation Estimation for Photovoltaic Modules,” in ASME 2015 Dynamic Systems and Control Conf., 2015.
  3. D. Docimo, M. Ghanaatpishe, and H. K. Fathy, “Development and Experimental Parameterization of a Physics-Based Second-Order Lithium-Ion Battery Model,” in ASME 2014 Dynamic Systems and Control Conf., 2014.