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Online Identification of Power Required for Self-Sustainability of the Battery in Hybrid Electric Vehicles

[+] Author Affiliations
Andreas A. Malikopoulos

Oak Ridge National Laboratory, Knoxville, TN

Paper No. ICEF2014-5401, pp. V002T05A001; 9 pages
  • ASME 2014 Internal Combustion Engine Division Fall Technical Conference
  • Volume 2: Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development; Keynote Papers
  • Columbus, Indiana, USA, October 19–22, 2014
  • Conference Sponsors: Internal Combustion Engine Division
  • ISBN: 978-0-7918-4617-9
  • Copyright © 2014 by ASME


Hybrid electric vehicles have shown great potential for enhancing fuel economy and reducing emissions. Deriving a power management control policy to distribute the power demanded by the driver optimally to the available subsystems (e.g., the internal combustion engine, motor, generator, and battery) has been a challenging control problem. One of the main aspects of the power management control algorithms is concerned with the self-sustainability of the electrical path, which must be guaranteed for the entire driving cycle. This paper considers the problem of identifying online the power required by the battery to maintain the state of charge within a range of the target value. An algorithm is presented that realizes how much power the engine needs to provide to the battery so that self-sustainability of the electrical path is maintained.

Copyright © 2014 by ASME



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