Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Hot Temperature Engineering & Materials Science
Hardware Engineering & Materials Science
Temperature Engineering & Materials Science
Costs Engineering & Materials Science
Knowledge based systems Engineering & Materials Science
Temperature control Engineering & Materials Science
Sustainable development Engineering & Materials Science
Plug-in hybrid vehicles Engineering & Materials Science

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Research Output 2010 2018

  • 307 Citations
  • 9 h-Index
  • 28 Article
  • 2 Conference contribution
  • 1 Chapter

Vehicle's lightweight design vs. electrification from life cycle assessment perspective

Mayyas, A., Omar, M., Hayajneh, M. & Mayyas, A. R. Jan 1 2018 In : Journal of Cleaner Production. 167, p. 687-701 15 p.

Research output: Research - peer-reviewArticle

life cycle
Life cycle assessment
Life cycle
1 Citations

Model-based design validation for advanced energy management strategies for electrified hybrid power trains using innovative vehicle hardware in the loop (VHIL) approach

Mayyas, A. R. O., Kumar, S., Pisu, P., Rios, J. & Jethani, P. Oct 15 2017 In : Applied Energy. 204, p. 287-302 16 p.

Research output: Research - peer-reviewArticle

energy management
Energy management

Performance of 26650 Li-ion cells at elevated temperature under simulated PHEV drive cycles

Badami, P., Opitz, A., Shen, L., Vaidya, R., Mayyas, A., Knoop, K., Razdan, A. & Kannan, A. M. Jan 27 2017 (Accepted/In press) In : International Journal of Hydrogen Energy.

Research output: Research - peer-reviewArticle

1 Citations

Active Battery Thermal Management within Electric and Plug-In Hybrid Electric Vehicles

Carroll, J. K., Alzorgan, M., Page, C. & Mayyas, A. R. 2016 In : SAE Technical Papers. 2016-Octobeer

Research output: Research - peer-reviewArticle

Plug-in hybrid vehicles
Temperature control
Electric vehicles
5 Citations

Eco-material selection using fuzzy TOPSIS method

Mayyas, A., Omar, M. A. & Hayajneh, M. T. Sep 2 2016 In : International Journal of Sustainable Engineering. 9, 5, p. 292-304 13 p.

Research output: Research - peer-reviewArticle

Decision making
Automobile bodies
Personnel rating
Quality function deployment
Fuzzy logic

Projects 2014 2018