Hybrid vehicle energy management: singular optimal control

S. Delprat, T. Hofman, S. Paganelli

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)
290 Downloads (Pure)

Abstract

Hybrid vehicle energymanagement is often studied in simulation as an optimal control problem. Under strict convexity assumptions, a solution can be developed using Pontryagin’s minimum principle. In practice, however, many engineers do not formally check these assumptions resulting in the possible occurrence of so-called unexplained “numerical issues.” This paper intends to explain and solve these issues. Due to the binary controlled-state variable considered (e.g., switching on/off an internal combustion engine) and the use of a lookup table with linear interpolation (e.g., engine fuel consumption map), the corresponding Hamiltonian function can have multiple minima. Optimal control is not unique. Moreover, it is defined as being singular. Consequently, an infinite number of optimal state trajectories can be obtained. In this paper, a control law is proposed to easily construct a few of them.
Original languageEnglish
Article number8017648
Pages (from-to)9654-9666
Number of pages13
JournalIEEE Transactions on Vehicular Technology
Volume66
Issue number11
DOIs
Publication statusPublished - 1 Nov 2017

Keywords

  • Binary variable
  • Electric machines
  • Energy management
  • Engines
  • Fuels
  • hybrid vehicle
  • lookup table
  • Numerical models
  • Optimal control
  • optimal control
  • singular control
  • State of charge

Fingerprint Dive into the research topics of 'Hybrid vehicle energy management: singular optimal control'. Together they form a unique fingerprint.

Cite this