WP1: Coordination and Management
Internal and external project coordination and communication will be organized in this work package. This will include surveillance of the scientific work to assure reaching the defined milestones, coordination of cooperative work by the partners, reporting, and management of scientific publications.
WP2: Fuel Cell and LiC Pack Subsystems Testing
The experimental tests for fuel cell efficiency and lifetime optimization as well as the sensitivity tests of advanced fuel cell sensors will be realized. The impact of the stack operating parameters as well as the critical combination of different parameters will be examined. DEIS will be used for the monitoring purpose. The required optimization algorithm will be developed on the stack level and validated on the system level. Furthermore, the durability-stressful actions during fuel cell dynamic load and start/stop cycles will be determined. The detailed investigation of the relevant factors will be conducted.
Dynamic load switching tests will be performed on LiC modules to determine their power capability (voltage characteristics) and thermal behavior, particularly, during short-time, ultra-fast discharging. LiC module performance will also be tested in a simulated fuel cell hybrid environment. The durability of the LiC module subjected to different FCS-application-specific dynamic load cycles will also be tested.
WP3: Method Development for Subsystem Monitoring and Optimization
Different methodologies will be developed to monitor and optimize the state of health and the efficiency of the hybrid subsystems, fuel cell and power LiC pack. For the fuel cell and LiC monitoring methodologies, the used sensors as well as the monitoring algorithm will be examined and the used diagnostic methods will be improved. The features of the EIS/DEIS spectra will be unequivocally assigned to the physical phenomena worsening the condition of the stack with the use of special sensors at special locations. Based on this advanced diagnostics an efficiency optimization algorithm will be developed. This algorithm will permanently search for operating conditions sets leading to maximum fuel cell efficiency. Furthermore, durability-promoting methodologies for changing the load and starting/stopping the fuel cell will be elaborated. Additionally, the global observable parameters included in the monitoring system will be linked to stack internal phenomena to allow a fast response of the control algorithm to critical conditions resulting in increased lifetime.
WP4: Development of Control Algorithm
The algorithm for monitoring and optimization of the different subsystems will be implemented and transferred to the overall hybrid system control algorithm using the advanced monitoring systems. Therefore, two separate management systems will be developed and combined in the overall algorithm. Additional algorithms needed for the optimization of the operating conditions and the interpretation of the monitored parameters will be implemented. Consequently, the developed hybrid system control algorithm will simultaneously exploit three strategies in order to increase the efficiency and durability of the fuel cell: (i) permanent searching for operating conditions sets leading to maximum fuel cell efficiency, (ii) maintaining the fuel cell state of health at a high level, and (iii) performing durability-promoting load changing- and start/stop procedures.
WP5: Provision of Hybrid System Controller
The hardware and the software of the final hybrid system controller implementing the control algorithm will be provided. All physical interfaces for monitoring and optimizing the state of health and the efficiency of the ECS and the ESS will be defined. This includes interfaces to advanced sensors for the DEIS methodology and locally resolved measurements in the case of the ECS as well as sensors for internal LiC pack measurements in the case of the ESS. The consortium will define the interfaces and providing the control algorithm. The so developed algorithm and controller will be validated using a system already available and the new developed LiC pack. Thereby, the control capabilities for the ECS and ESS subsystems as well as for the whole hybrid system will be validated in detail.