Toward P-HiL testing of high-power systems: A similarity-based scaling reduction framework with numerical validation applied to ship electrification

High-power systems find broad application across numerous domains, from stationary setups to the growing heavy-duty transportation sector. However, the testing and validation phases of such systems, which involve considerable power levels, pose significant challenges to their deployment. In the same context, Power-Hardware-in-The-Loop testing faces similar obstacles, related to cost and availability of suitable test benches, while being necessary during product development and validation. This study explores a similitude-based rescaling methodology intended for conducting representative Power-Hardware-in-The-Loop simulations on reduced-power test benches. The detailed process focuses on the inclusion of hardware components whose similarity-based rescaling is non-trivial. A propulsion system for a hybrid electric boat is considered, including a battery pack, a proton-exchange membrane fuel cell and power converters. The Π-theorem is applied on simulated system parts while the novel approach is employed on elements intended to be emulated with real components. Specifically, the proton-exchange membrane fuel cell and power converters are adapted through input/output manipulation and efficiency adaptation, respectively. The proposed methodology is numerically evaluated through a simulation-based control scenario, including a realistic power profile and constraints representative of the available low-power-scale hardware components. Results reveal a significant similitude error reduction for key system parameters compared to a naively scaled scenario.

Authors

Institutions

Publication Details

Journal
Ocean Engineering
Published
2026-07-25
DOI
https://doi.org/10.1016/j.oceaneng.2026.126890
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward P-HiL testing of high-power systems: A similarity-based scaling reduction framework with numerical validation applied to ship electrification

Clément Retière, Timothé Jard, Guilherme Nascimento Gouvêa dos Reis, Mickaël Hilairet
Ocean Engineering
Real-time simulation and control systems
article

Toward P-HiL testing of high-power systems: A similarity-based scaling reduction framework with numerical validation applied to ship electrification

Clément Retière, Timothé Jard, Guilherme Nascimento Gouvêa dos Reis, Mickaël Hilairet
article en

Abstract

High-power systems find broad application across numerous domains, from stationary setups to the growing heavy-duty transportation sector. However, the testing and validation phases of such systems, which involve considerable power levels, pose significant challenges to their deployment. In the same context, Power-Hardware-in-The-Loop testing faces similar obstacles, related to cost and availability of suitable test benches, while being necessary during product development and validation. This study explores a similitude-based rescaling methodology intended for conducting representative Power-Hardware-in-The-Loop simulations on reduced-power test benches. The detailed process focuses on the inclusion of hardware components whose similarity-based rescaling is non-trivial. A propulsion system for a hybrid electric boat is considered, including a battery pack, a proton-exchange membrane fuel cell and power converters. The Π-theorem is applied on simulated system parts while the novel approach is employed on elements intended to be emulated with real components. Specifically, the proton-exchange membrane fuel cell and power converters are adapted through input/output manipulation and efficiency adaptation, respectively. The proposed methodology is numerically evaluated through a simulation-based control scenario, including a realistic power profile and constraints representative of the available low-power-scale hardware components. Results reveal a significant similitude error reduction for key system parameters compared to a naively scaled scenario.

Ocean EngineeringVol. 364
École Centrale de Nantes (FR), Centre National de la Recherche Scientifique (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Laboratoire des Sciences du Numérique de Nantes (FR), Direction de la Recherche Technologique (FR), Nantes Université (FR)
Conseil Régional des Pays de la Loire
Openalex Percentile: Top 10%
Real-time simulation and control systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.