Journal
MECHATRONICS
Volume 29, Issue -, Pages 13-27Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.mechatronics.2015.04.020
Keywords
Automotive powertrain; Plug-in hybrid electric vehicle; Power management; Explicit model predictive control
Categories
Funding
- NSERC/Toyota/Maplesoft Industrial Research Chair program
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Model predictive control is a promising approach to exploit the potentials of modern concepts and to ful-fill the automotive requirements. Since, it is able to handle constrained multi-input multi-output optimal control problems. However, when it comes to implementation, the MPC computational effort may cause a concern for real-time applications. To maintain the advantage of a predictive control approach and improve its implementation speed, we can solve the problem parametrically. In this paper, we design a power management strategy for a Toyota Prius plug-in hybrid powertrain (PHEV) using explicit model predictive control (eMPC) based on a new control-oriented model to improve the real-time implementation performance. By implementing the controller to a PHEV model through model and hardware-in-the-loop simulation, we get promising fuel economy as well as real-time simulation speed. (C) 2015 Elsevier Ltd. All rights reserved.
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