Computational reduction of optimal hybrid vehicle energy management

Journal article (2021)

Authors

Carlos Armenta Université Polytechnique Hauts de France
Sebastien Delprat Université Polytechnique Hauts de France
R.R. Negenborn Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
A. Haseltalab Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Jimmy Lauber Université Polytechnique Hauts de France
Michel Dambrine Université Polytechnique Hauts de France
Research Group
Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2021 Carlos Armenta, Sebastien Delprat, R.R. Negenborn, A. Haseltalab, Jimmy Lauber, Michel Dambrine
DOI: https://doi.org/10.1109/LCSYS.2020.3046609
Optimization Topology Minimization Optimal control Energy management Control applications Mechanical power transmission Numerical algorithms. State of charge
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Published Date

2021

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Transport Engineering and Logistics

Abstract

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.