Computational reduction of optimal hybrid vehicle energy management

Journal Article (2021)
Author(s)

Carlos Armenta (Université Polytechnique Hauts de France)

Sebastien Delprat (Université Polytechnique Hauts de France)

Rudy R. Negenborn (TU Delft - Mechanical Engineering)

Ali Haseltalab (TU Delft - Mechanical Engineering)

Jimmy Lauber (Université Polytechnique Hauts de France)

Michel Dambrine (Université Polytechnique Hauts de France)

Research Group
Transport Engineering and Logistics
DOI related publication
https://doi.org/10.1109/LCSYS.2020.3046609 Final published version
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Publication Year
2021
Language
English
Research Group
Transport Engineering and Logistics
Volume number
6
Pages (from-to)
25-30
Downloads counter
378
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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.

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