propice – prognostics and health management of …-develop approaches for reliable prognostics of...
TRANSCRIPT
IRTES
PROPICE – Prognostics and Health
Management of PEMFC Systems
CEA LITEN (Fr.), EIFER (Ge.), FCLAB (Fr.), KNRTU (Ru.), LAGIS (Fr.), Pprime (Fr.)
Contact: Rafael [email protected]+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