Computational reduction of optimal hybrid vehicle energy management

Computational reduction of optimal hybrid vehicle energy management

Armenta, Carlos (Université Polytechnique Hauts de France)
Delprat, Sebastien (Université Polytechnique Hauts de France)
Negenborn, R.R. (TU Delft Transport Engineering and Logistics)
Haseltalab, A. (TU Delft Transport Engineering and Logistics)
Lauber, Jimmy (Université Polytechnique Hauts de France)
Dambrine, Michel (Université Polytechnique Hauts de France)

2021

Pontryagin’s Minimum Principle is a way of solving hybrid powertrain optimal energy management. This paper presents an improvement of a classical implementation. The core of this improvement consists in relaxing the tolerance on some intermediate steps of the algorithm in order to reduce the number of iterations and thereby reducing the number of operations required to compute an optimal solution. The paper describes both a classical implementation of Pontryagin’s Minimum Principle as well as the improved version. Numerical simulations are conducted on an academic example to demonstrate the benefits of the proposed approach.

control applications
Energy management
Mechanical power transmission
Minimization
numerical algorithms.
Optimal control
Optimization
State of charge
Topology

http://resolver.tudelft.nl/uuid:93178a61-dab1-4c89-9142-6ea591b3f482

https://doi.org/10.1109/LCSYS.2020.3046609

2475-1456

IEEE Control Systems Letters, 6, 25-30

Accepted Author Manuscript

Institutional Repository

journal article

© 2021 Carlos Armenta, Sebastien Delprat, R.R. Negenborn, A. Haseltalab, Jimmy Lauber, Michel Dambrine