NDLI: A robust predictive energy management for plug-in hybrid vehicles based on hybrid optimal control theory

Content Provider	IEEE Xplore Digital Library
Author	Schori, M. Boehme, T.J. Jeinsch, T. Schultalbers, M.
Copyright Year	2015
Description	Author affiliation: Inst. of Autom., Univ. of Rostock, Rostock, Germany (Jeinsch, T.) \|\| Dept. of Gasoline Engine Syst., IAV Automotive Eng., Gifhorn, Germany (Schori, M.; Boehme, T.J.; Schultalbers, M.)
Abstract	This paper presents a predictive energy management for plug-in hybrid vehicles, feasible for the implementation on an electronic control unit. An optimal reference trajectory for the battery's state of charge is calculated by solving a hybrid optimal control problem that considers continuous controls as well as discrete decisions, such as the switching between drive modes. The problem is solved via an indirect variation of extremals approach, expanded for hybrid systems. To decrease calculation time, information necessary for solving the problem is calculated offline and stored in lookup tables. The information necessary for the formulation of the hybrid optimal control problem are obtained using information from modern navigation systems for each segment of the route. A driver model transforms this set of information into a continuous driving profile that contains all necessary information for solving the hybrid optimal control problem. A PI-controller is implemented to follow the reference trajectory of the battery's state of charge. The controller output is an offset to the costate obtained from the solution of the hybrid optimal control problem. The energy management was implemented in a pilot-production plug-in-hybrid vehicle. Results obtained from real world measurements are presented as well as simulation results to investigate the energy management's robustness.
Starting Page	2278
Ending Page	2283
File Size	542094
Page Count	6
File Format	PDF
e-ISBN	9781479986842
DOI	10.1109/ACC.2015.7171072
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Vehicles Optimal control Trajectory Batteries Ice Robustness Torque
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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