NDLI: Hybrid model predictive power flow control of a fuel cell-battery vehicle

Content Provider	IEEE Xplore Digital Library
Author	Meyer, R. DeCarlo, R.A. Meckl, P.H. Doktorcik, C. Pekarek, S.
Copyright Year	2011
Description	Author affiliation: Sch. of Mech. Eng., Purdue Univ., West Lafayette, IN, USA (Meyer, R.; Meckl, P.H.) \|\| Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA (DeCarlo, R.A.; Doktorcik, C.; Pekarek, S.)
Abstract	This paper considers optimal power flow control of a fuel cell-battery hybrid vehicle (FCHV) powertrain having three distinct modal configurations (modes): electric motor propelling/battery discharging, propelling/charging, and generating/charging. Each mode has a distinct set of dynamics and constraints. Using component dynamical/algebraic models appropriate to power management, the paper develops a supervisory-level switched system model as an interconnection of subsystems. Given the model, the paper sets forth a hybrid model predictive control strategy based on a minimization of a performance index (PI) that trades off tracking and fuel economy in each operational mode. Specifically the PI trades off velocity tracking error, battery state of charge variance, and hydrogen usage while penalizing frictional braking. The optimization is performed using an embedded system model and collocation with MATLAB's fmincon to compute mode switches and continuous time controls thereby avoiding the computational complexity of alternate approaches based on, e.g., mixed integer programming. To demonstrate the approach, an example FCHV following trapezoidal and sawtooth drive profiles is simulated. PI weights are varied for reduced hydrogen use and higher final battery charge to illustrate various performance trade-offs.
Sponsorship	Control Syst. Soc.
Starting Page	2725
Ending Page	2731
File Size	260203
Page Count	7
File Format	PDF
ISBN	9781457700804
ISSN	07431619
e-ISBN	9781457700811
DOI	10.1109/ACC.2011.5991428
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Batteries Vehicles Propulsion Mathematical model Fuel cells System-on-a-chip Partial discharges
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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