Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks
Gespeichert in:
| Titel: | Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks |
|---|---|
| Autoren: | Xun, Qian, 1990, Murgovski, Nikolce, 1980, Liu, Yujing, 1962 |
| Quelle: | IEEE Transactions on Vehicular Technology. 71(5):4863-4878 |
| Schlagwörter: | energy buffer, sequential convex programming., chance-constrained, wheel power demand, Fuel cell hybrid electric trucks (FCHETs) |
| Beschreibung: | This paper proposes a cost-effective way to design and operate fuel cell hybrid electric trucks (FCHETs) where a chance-constrained optimization is formulated. The aim of the introduced problem is to minimize a summation of component cost and operational cost with consideration of fuel cell (FC) degradation and cycle life of energy buffer. We propose to decompose the problem into two sub-problems that are solved by sequential convex programming. The delivered power satisfies a cumulative distribution function of the wheel power demand, while the truck can still traverse driving cycles with a similar speed and travel time without delivering unnecessarily high power. This allows to downsize powertrain components, including electric machine, FC and energy buffer. A case study considering different energy buffer technologies, including supercapacitor (SC), lithium-ion battery (LiB), and lithium-ion capacitor (LiC) is investigated in a set of trucking applications, i.e. urban delivery, regional delivery, construction, and long-haul. Results show that the power rating of the electric machine is drastically reduced when the delivered power is satisfied in a probabilistic sense. Moreover, the configuration with LiB as the energy buffer has the lowest expense but the truck with LiC can carry more payload. |
| Dateibeschreibung: | electronic |
| Zugangs-URL: | https://research.chalmers.se/publication/528970 https://research.chalmers.se/publication/528942 https://research.chalmers.se/publication/528970/file/528970_Fulltext.pdf |
| Datenbank: | SwePub |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | This paper proposes a cost-effective way to design and operate fuel cell hybrid electric trucks (FCHETs) where a chance-constrained optimization is formulated. The aim of the introduced problem is to minimize a summation of component cost and operational cost with consideration of fuel cell (FC) degradation and cycle life of energy buffer. We propose to decompose the problem into two sub-problems that are solved by sequential convex programming. The delivered power satisfies a cumulative distribution function of the wheel power demand, while the truck can still traverse driving cycles with a similar speed and travel time without delivering unnecessarily high power. This allows to downsize powertrain components, including electric machine, FC and energy buffer. A case study considering different energy buffer technologies, including supercapacitor (SC), lithium-ion battery (LiB), and lithium-ion capacitor (LiC) is investigated in a set of trucking applications, i.e. urban delivery, regional delivery, construction, and long-haul. Results show that the power rating of the electric machine is drastically reduced when the delivered power is satisfied in a probabilistic sense. Moreover, the configuration with LiB as the energy buffer has the lowest expense but the truck with LiC can carry more payload. |
|---|---|
| ISSN: | 00189545 19399359 |
| DOI: | 10.1109/TVT.2022.3154146 |