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Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks

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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
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  Label: Title
  Group: Ti
  Data: Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks
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  Data: <searchLink fieldCode="AR" term="%22Xun%2C+Qian%22">Xun, Qian</searchLink>, 1990<br /><searchLink fieldCode="AR" term="%22Murgovski%2C+Nikolce%22">Murgovski, Nikolce</searchLink>, 1980<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yujing%22">Liu, Yujing</searchLink>, 1962
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  Data: <i>IEEE Transactions on Vehicular Technology</i>. 71(5):4863-4878
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  Data: <searchLink fieldCode="DE" term="%22energy+buffer%22">energy buffer</searchLink><br /><searchLink fieldCode="DE" term="%22sequential+convex+programming%2E%22">sequential convex programming.</searchLink><br /><searchLink fieldCode="DE" term="%22chance-constrained%22">chance-constrained</searchLink><br /><searchLink fieldCode="DE" term="%22wheel+power+demand%22">wheel power demand</searchLink><br /><searchLink fieldCode="DE" term="%22Fuel+cell+hybrid+electric+trucks+%28FCHETs%29%22">Fuel cell hybrid electric trucks (FCHETs)</searchLink>
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  Label: Description
  Group: Ab
  Data: 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.
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        Value: 10.1109/TVT.2022.3154146
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      – Text: English
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      – SubjectFull: energy buffer
        Type: general
      – SubjectFull: sequential convex programming.
        Type: general
      – SubjectFull: chance-constrained
        Type: general
      – SubjectFull: wheel power demand
        Type: general
      – SubjectFull: Fuel cell hybrid electric trucks (FCHETs)
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      – TitleFull: Joint Component Sizing and Energy Management for Fuel Cell Hybrid Electric Trucks
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            NameFull: Murgovski, Nikolce
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            NameFull: Liu, Yujing
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              Type: published
              Y: 2022
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