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Uhrig, Florian [Author]; Säger, Peter [Author]; Kurzweil, Peter [Author]; von Unwerth, Thomas [Author] ; Technische Universität Chemnitz

Evaluation of Efficiency-Enhancing Measures Using Optimization Algorithms for Fuel Cell Vehicles

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  • Media type: Conference Proceedings; E-Article
  • Title: Evaluation of Efficiency-Enhancing Measures Using Optimization Algorithms for Fuel Cell Vehicles
  • Contributor: Uhrig, Florian [Author]; Säger, Peter [Author]; Kurzweil, Peter [Author]; von Unwerth, Thomas [Author]
  • Published: [2019]
  • Published in: FC³ - 1st Fuel Cell Conference Chemnitz 2019 - Saubere Antriebe. Effizient Produziert.
  • Language: English
  • Keywords: Hybrid-Elektro-Fahrzeug ; Optimierung ; Simulation ; efficiency ; HEV ; Brennstoffzellenfahrzeug ; fuel cell vehicle ; Luftversorgung ; Brennstoffzelle ; air supply ; optimization ; simulation ; Effizienz
  • Origination:
  • Footnote:
  • Description: Efficiency-enhancing measures are evaluated for a serial hybrid fuel cell vehicle over a drive cycle. The regarded powertrain consists of fuel cell system, battery, DC-DC converter, inverter and electrical machine. Within the fuel cell system, the air supply is the largest parasitic load. For the lowest dissipation, different air compression architectures are optimized by a scaling algorithm and compared. Phase switching reduces DC-DC losses. Additionally, a variable DC-link voltage increases efficiency of electrical machine and inverter. Dynamic Programming (DP) is used to evaluate these measures. The DP was extended by start-up and shutdown energy of the fuel cell system to model realistic cycle consumptions. Finally, all these efficiency enhancing measures lead to a reduction of energy consumption by 6.4 % for the serial hybrid fuel cell vehicle over a drive cycle.