liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Effects of Thermal and Auxiliary Dynamics on a Fuel Cell Based Range Extender
(Center for Automotive Research, College of Engineering, The Ohio State University, OH, USA)
(Center for Automotive Research, College of Engineering, The Ohio State University, OH, USA)
(Center for Automotive Research, College of Engineering, The Ohio State University, OH, USA)ORCID iD: 0000-0003-0808-052X
2018 (English)In: SAE Technical Paper, SAE International , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Batteries are useful in Fuel Cell Hybrid Electric Vehicles (FCHEV) to fulfill transient demands and for regenerative braking. Efficient energy management strategies paired with optimal powertrain design further improves the efficiency. In this paper, a new methodology to simultaneously size the propulsive elements and optimize the power-split strategy of a Range Extended Battery Electric Vehicle (REBEV), using a Polymer Electron Membrane Fuel Cell (PEMFC), is proposed and preliminary studies on the effects of the driving mission profile and the auxiliary power loads on the sizing and optimal performance of the powertrain design are carried out. Dynamic Programming is used to compute the optimal energy management strategy for a given driving mission profile, providing a global optimal solution. The component sizing problem is performed using a machine learning based, guided design space exploration to find the set of Pareto-optimal solutions that give the best trade-offs between the different objectives. The powertrain model includes the dynamic behavior of the fuel cell system compressor and a battery lumped parameter thermal model along with the quasi-static semi-empirical model of the fuel cell and a zero-order battery model. Initial results indicate an increase in the Pareto-optimal sizes with the inclusion of thermal management.

Place, publisher, year, edition, pages
SAE International , 2018.
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:liu:diva-151299DOI: 10.4271/2018-01-1311OAI: oai:DiVA.org:liu-151299DiVA, id: diva2:1248569
Conference
SAE World Congress
Available from: 2018-09-17 Created: 2018-09-17 Last updated: 2018-09-17

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full texthttps://doi.org/10.4271/2018-01-1311

Authority records BETA

Jung, Daniel

Search in DiVA

By author/editor
Jung, Daniel
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 5 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf