Automated engine calibration of hybrid electric vehicles
Journal article, 2015

We present a method for automated engine calibration, by optimizing engine management settings and power-split control of a hybrid electric vehicle. The problem, which concerns minimization of fuel consumption under a NOx constraint, is formulated as an optimal control problem. By applying Pontryagin's maximum principle, this study shows that the problem is separable in space. In the case where the limits of battery state of charge are not activated, we show that the optimization problem is also separable in time. The optimal solution is obtained by iteratively solving the power-split control problem using dynamic programming or the Equivalent Consumption Minimization Strategy. In addition, we present a computationally efficient suboptimal solution, which aims at reducing the number of power-split optimizations required. An example is provided concerning optimization of engine management settings and power-split control of a parallel hybrid electric vehicle.

optimal control

Hybrid electric vehicle

engine calibration

engine management system

Author

Nikolce Murgovski

Chalmers, Signals and Systems, Systems and control, Mechatronics

Markus Grahn

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Lars Johannesson

Chalmers, Signals and Systems, Systems and control, Automatic Control

Tomas McKelvey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

IEEE Transactions on Control Systems Technology

1063-6536 (ISSN)

Vol. 23 3 1063-1074 6924797

Areas of Advance

Transport

Energy

Subject Categories

Computational Mathematics

Vehicle Engineering

Control Engineering

DOI

10.1109/TCST.2014.2360920

More information

Created

10/8/2017