A-ECMS and SDP Energy Management Algorithms applied to a Fuel Cell Electric Scooter
Résumé
The energy management of a fuel cell system coupled to a supercapacitor energy storage system is studied, both in simulation and on a same-scale test bench. This system can be used to power an urban electric scooter. To obtain a low real-time hydrogen consumption, an online energy management strategy needs to be embedded. This paper assesses the best energy performance of two promising real-time energy management strategies for fuel cell electric vehicle applications: adaptive equivalent consumption minimization strategy and stochastic dynamic programming. For this purpose, a specific certification driving cycle is considered while an off-line algorithm is used as benchmark. Simulation experimental results show that SDP has a higher potential than A-ECMS, making SDP complexity worth handling.
Mots clés
urban electric scooter
real-time energy management strategies
specific certification driving cycle
fuel cell electric vehicle
energy management
optimal control
adaptative equivalent consumption minimization strategy
Stochastic dynamic programming
supercapacitor energy storage system
same-scale test bench
real-time hydrogen consumption
online energy management strategy
energy performance
fuel cell electric vehicle applications
off-line algorithm
A-ECMS
SDP energy management algorithms
fuel cell electric scooter
fuel cell system
adaptive equivalent consumption minimization strategy
Domaines
Energie électrique| Origine | Fichiers produits par l'(les) auteur(s) |
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