INNovative Cost Improvements for
BALANCE of Plant Components
of Automotive PEMFC Systems

New article on fuel cells control published by the Technical University of Catalonia

The team of the Institut de Robòtica i Informàtica Industrial at the Technical University of Catalonia (UPC) just published a new article in IEEE Transactions on Industrial Electronics, proposing a new controller to enhance the efficiency and lifetime of PEMFC.

The INN-BALANCE project targets at developing a highly efficient fuel cell system for automotive applications. In the scope of Work Package 2, INN-BALANCE partners will therefore develop advanced control strategies. In order to increase the performance and the durability of the fuel cell system, it is necessary to control and optimize the processes occurring within the fuel cell. Comprehensive models are needed to supervise the operation of the fuel cell system and to ensure the functionalities required by automotive standards.

At the Institut de Robòtica i Informàtica Industrial (a Joint Research Center of the Spanish Council for Scientific Research and the Technical University of Catalonia), the Automatic Control Group conducts high level research on supervision and control of nonlinear and complex Proton Exchange Membrane Fuel Cell (PEMFC) systems. A main focus of their research is on how to improve the performance and durability of fuel cells through an appropriate control strategy. The team just published a new article in IEEE Transactions on Industrial Electronics proposing a new controller to enhance the efficiency and lifetime of PEMFC.

Within INN-BALANCE, the Spanish Team from UPC, led by Attila Husar and Maria Serra, will use these new results to tackle the development of a control-oriented model of the fuel cell stack and BoP components. This comprehensive model will be the base for designing the advanced control strategy of the INN-BALANCE system.

Reference:  A. Luna, E. Usai, A.P. Husar and M. Serra. Enhancing the efficiency and lifetime of a proton exchange membrane fuel cell using nonlinear model predictive control with nonlinear observation. IEEE Transactions on Industrial Electronics, 2017