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IRTES

PROPICE – Prognostics and Health

Management of PEMFC Systems

CEA LITEN (Fr.), EIFER (Ge.), FCLAB (Fr.), KNRTU (Ru.), LAGIS (Fr.), Pprime (Fr.)

Contact: Rafael Gouriveaurafael.gouriveau@femto-st.fr+33 (0)381 402 796

Partnership and funds

- 6 partners from France, Germany and Russia

- 800 K€, funded by the French National Research Agency (ANR)

PROPICE in brief

Objectives

- Develop approaches for reliable prognostics of PEMFC systems

- Facilitate their implementation

Work plan

36 months project, 7 work packages enabling

- Data gathering, and health monitoring

- Behavior modeling and prognostics

- Tests, optimization and validation of approaches

- Results dissemination and industrial transfer preparation © L. Godart, UFC

WP3 – From data to behavior models

WP4 – PHM of FCWP2 –

Experimentations

WP5 – Tests, Optimizat°, Validat°

WP6 – Industrial adoption

WP7 – Valorization and dissemination

WP1 – Management

R e s e a r c h

PROPICE

Developments outline

Develop reliable prognostics approaches

- Estimate the remaining useful life (RUL) of the FC

- Quantify and control the errors of estimates

� Model-based, data-driven, hybrid approaches

Enhance the applicability of prognostics tools

- Avoid influence of arbitrary human choices

- Reduce learning and parameterization times

� Adaptive and parsimonious systems

Prepare industrial transfer

- Analyze the diffusion process of the FC technology

- Identify corresponding bottlenecks

� Humanities and social sciences approach

0 20 40 60 80 100 120 140 160 180 2002388

2388.05

2388.1

2388.15

Real valuesDirect methodParallel methodIterative method

0 20 40 60 80 100 120 140 160 180 2001

1.5

2

2.5

3

3.5

4

Prognostics / IterativePrognostics / Parallel

RUL / Iterative

Predictions

States classification

0 20 40 60 80 100 120 140 160 180 2002388

2388.05

2388.1

2388.15

Real valuesDirect methodParallel methodIterative method

0 20 40 60 80 100 120 140 160 180 2001

1.5

2

2.5

3

3.5

4

Prognostics / IterativePrognostics / Parallel

RUL / IterativeRUL / Iterative

Predictions

States classification

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