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Automotive fuel cell system simulation, component and compressor modelling
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-7048-0108
2006 (English)In: Schrauben-maschinen 2006: Kompressoren, Lader, Motoren, Vakuumpumpen = compressors, superchargers, engines, vavuum pumps: Tagung Dortmund, 26 und 27 September 2006, VDI Gesellschaft Fahrzeug- und Verkehrstechnik , 2006, no 1932, 217-235 p.Chapter in book (Refereed)
Abstract [en]

Future fuel cell (FC) systems for automotive applications will significantly depend on the development and realization of efficient and reliable components. The screw compressor for charging of the FC stack constitutes one important component in the system. In the European project NFCCPP (Numerical Fuel Cell Component Performance Prediction tool) within the EC 5th FP, a modular simulation environment has been developed which allows virtual testing of components of fuel cell systems. The objective of this development was to create a useful tool for automotive component suppliers to test their component or subsystem models for performance prediction in a realistic FC system environment, for relevant driving cycles. MATLAB/Simulink, being well established in industry, was chosen as software platform for the modelling. The system model structure, interface definitions and data flows, as well as different approaches to the modelling of screw compressors, will be presented in this paper. Component models of different degree of detail will be possible to plug into the system model. A standard reference model is based on simplified component models. In particular, there have been two main issues for the development of this system: Lumped models or characteristics approach. Simplified component models will be required to allow for acceptable computing time for system simulation. This is even more important if the system should be used with hardware in the loop, i.e. for real time simulation. Code protection. Preventing access to confidential information and data of other component suppliers was considered necessary. Even competitors can then test their components together in such an environment. Three different approaches have been taken to this: Centralised simulation with remote user control. Localised simulation with simulation-time model usage control. Parallel distributed simulation. Compressor models. The complete screw compressor unit, also including electric motor and control system for capacity (speed) control has been modelled in NFCCPP. For a simple compressor model, empirical test data in the form of screw compressor maps for one specific machine type and size could be used. To generalize, screw compressor maps could be transformed by means of similarity laws for scaling. A more detailed screw compressor model should be based on the lumped approach according to the since long well established model structure; a number of compression chambers connected by leakage paths. Building a lumped screw compressor model in Simulink has been tested. Compressor flow field models of CFD element type are however not considered realistic as component models for the complex FC system simulation. In some FC systems, screw expanders are also used, for energy recovery. The FC system model can be configured to include also an expander. The commercialisation of this program system is being planned for.

Place, publisher, year, edition, pages
VDI Gesellschaft Fahrzeug- und Verkehrstechnik , 2006. no 1932, 217-235 p.
, VDI Berichte, ISSN 00835560
Keyword [en]
Automotive engineering, Compressors, Computational fluid dynamics, Computer simulation, Mathematical models, Reliability, Superchargers, Compression chambers, Energy recovery, Screw compressors, Fuel cells
National Category
Energy Engineering
URN: urn:nbn:se:kth:diva-155975ScopusID: 2-s2.0-33750227117ISBN: 3180919329ISBN: 9783180919324OAI: diva2:766080

QC 20141126

Available from: 2014-11-26 Created: 2014-11-17 Last updated: 2015-10-12Bibliographically approved

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