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Punit Tulpule


Office Hours:

Monday and Friday 10 a.m. - 11 a.m.

Simulation Capabilities:

  • 9+ years of experience with Matlab and Simulink

Software Proficiency:

  • GT-Power
  • AxiSuite (ExoThermia)

Current Projects:

  • Engine startability simulation, control and calibration automation
  • Uncertainty analysis of GDI engine and test cell
  • Vehicle health monitoring: prognosis of lead acid batteries and tire tread
  • Benchmarking of transient fueling control for PFI engines
  • Development of a course - Model based design and hardware in the loop validation and verification
  • Modeling and simulation support for hybrid electric vehicle powertrain development for USPS vehicles

Recent Projects:

  • Diagnosis of gasoline particulate filters
  • Prognosis of Li-Ion battery packs particularly used in Plug in Hybrid Electric Vehicles (PHEV)
  • Assessment of emissions improvements using post-TWC O2 sensor in fueling control for motorcycle applications

Selected Publications:

Chang, C. Y., Tulpule, P., Rizzoni, G., Zhang, W., & Du, X. (2017). A probabilistic approach for prognosis of battery pack aging. Journal of Power Sources, 347, 57-68.

Tulpule, P., Rezaeian A., Karumanchi, A., Midlam-Mohler, S., (2017), Model Based Design and Hardware in the Loop validation: A new course development, American Control Conference, IEEE

Tulpule, P., Chang, C. Y., & Rizzoni, G. (2016, October). Li-ion cell aging model online parameter estimation for improved prognosis. In Dynamic Systems and Control Conference (DSCC), ASME.

Tulpule, P. J., & Kelkar, A. G. (2014). Integrated Robust Optimal Design Using Bilinear Matrix Inequality Approach Via Sensitivity Minimization. Journal of Dynamic Systems, Measurement, and Control, 136(3), 031012.

Hegde, B., Midlam-Mohler, S., & Tulpule, P. J. (2015, October). Thermal Model of Fuse Dynamics for Simulation Under Intermittent DC Faults. In ASME 2015 Dynamic Systems and Control Conference (pp. V002T34A008-V002T34A008). American Society of Mechanical Engineers.