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Hybrid Vehicle Energy Management: Singular Optimal Control

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.
- Technical University Eindhoven TU Eindhoven Research Portal Netherlands
- Eindhoven University of Technology Netherlands
- Technical University Eindhoven Netherlands
- Technical University Eindhoven Netherlands
- University of Valenciennes and Hainaut-Cambresis France
Binary variable, Numerical models, Computer Networks and Communications, Applied Mathematics, Energy management, hybrid vehicle, State of charge, singular control, Aerospace Engineering, Fuels, Electric machines, Optimal control, optimal control, Automotive Engineering, Engines, Electrical and Electronic Engineering, lookup table
Binary variable, Numerical models, Computer Networks and Communications, Applied Mathematics, Energy management, hybrid vehicle, State of charge, singular control, Aerospace Engineering, Fuels, Electric machines, Optimal control, optimal control, Automotive Engineering, Engines, Electrical and Electronic Engineering, lookup table
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).29 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
