TY  - CHAP
A1  - Schopen, Oliver
A1  - Shabani, Bahman
A1  - Esch, Thomas
A1  - Kemper, Hans
A1  - Shah, Neel
ED  - Rahim, S.A.
ED  - As'arry, A.
ED  - Zuhri, M.Y.M.
ED  - Harmin, M.Y.
ED  - Rezali, K.A.M.
ED  - Hairuddin, A.A.
T1  - Quantitative evaluation of health management designs for fuel cell systems in transport vehicles
T2  - 2nd UNITED-SAIG International Conference Proceedings
N2  - Focusing on transport vehicles, mainly with regard to aviation applications, this paper presents compilation and subsequent quantitative evaluation of methods aimed at building an optimum integrated health management solution for fuel cell systems. The methods are divided into two different main types and compiled in a related scheme. Furthermore, different methods are analysed and evaluated based on parameters specific to the aviation context of this study. Finally, the most suitable method for use in fuel cell health management systems is identified and its performance and suitability is quantified.
KW  - aviation application
KW  - health management systems
KW  - fuel cell systems
Y1  - 2022
N1  - 2nd UNITED-SAIG International Conference, 23-24 May 2022, Putrajaya, Malaysia
SP  - 1
EP  - 3
ER  - 
TY  - JOUR
A1  - Schopen, Oliver
A1  - Shah, Neel
A1  - Esch, Thomas
A1  - Shabani, Bahman
T1  - Critical quantitative evaluation of integrated health management methods for fuel cell applications
JF  - International Journal of Hydrogen Energy
N2  - Online fault diagnostics is a crucial consideration for fuel cell systems, particularly in mobile applications, to limit downtime and degradation, and to increase lifetime. Guided by a critical literature review, in this paper an overview of Health management systems classified in a scheme is presented, introducing commonly utilised methods to diagnose FCs in various applications. In this novel scheme, various Health management system methods are summarised and structured to provide an overview of existing systems including their associated tools. These systems are classified into four categories mainly focused on model-based and non-model-based systems. The individual methods are critically discussed when used individually or combined aimed at further understanding their functionality and suitability in different applications. Additionally, a tool is introduced to evaluate methods from each category based on the scheme presented. This tool applies the technique of matrix evaluation utilising several key parameters to identify the most appropriate methods for a given application. Based on this evaluation, the most suitable methods for each specific application are combined to build an integrated Health management system.
KW  - Fuel cell
KW  - Health management system
KW  - Online diagnostic
KW  - Fault detection
KW  - Non-model-based Evaluation
Y1  - 2024
U6  - https://doi.org/10.1016/j.ijhydene.2024.05.156
SN  - 0360-3199
VL  - 70
SP  - 370
EP  - 388
PB  - Elsevier
CY  - Amsterdam
ER  -