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Control of a Parallel Hybrid Powertrain: Optimal Control

Delprat, S., Lauber, J., Guerra, T.M., Rimaux, J.·2004·IEEE Transactions on Vehicular Technology

Abstract

Control strategies for hybrid powertrains are algorithms that choose the power split between the engine and motor of a hybrid vehicle in order to minimize the fuel consumption and/or emissions. The goal of this paper is to propose an efficient tool to evaluate minimal fuel consumption that is achievable in simulation. Several approaches have been proposed, using heuristics (Delprat et al. 1999) or dynamic programming (Brahma et al., 2000; Rimaux et al., 1999). One drawback of these approaches is the huge amount of time required to obtain solutions. The approach described here is based on optimal control theory (Lewis & Syrmos, 1995) and avoids this drawback. Moreover, it can be easily applied to a large family of parallel arrangements.

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Metadata

Authors
Delprat, S., Lauber, J., Guerra, T. M., & Rimaux, J.
Venue
IEEE Transactions on Vehicular Technology
Published
2004-05
Volume
53
Issue
3
Pages
872-881
ISSN
0018-9545 (ISSN-L)
OpenAlex
W2139165901
Cited by
450
References
0
FWCI
29.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Control of a Parallel Hybrid Powertrain: Optimal Control. https://app.cochat.ai/papers/10.1109/tvt.2004.827161
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Delprat, S., Lauber, J., Guerra, T. M., & Rimaux, J. (2004). Control of a Parallel Hybrid Powertrain: Optimal Control. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2004.827161

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.