Average and detailed modeling approaches emphasizing subsystems in a hybrid mobile refrigeration

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Averaging-based and detailed dynamic models of hybrid electric power systems are presented, with emphasis on electric machines and drives. The objective is to compare technical and practical aspects associated with hybridization of refrigeration units in delivery trucks. Challenges unique to this hybrid application, including the thermal system interface and drive-cycle response, are introduced. The system topology is presented, and modeling approaches for each major subsystem, including an ac machine, the battery set, and converters, are discussed. An average modeling technique is fast enough to allow system-level power and efficiency to be evaluated over a long time interval. Compared to the average model, a detailed model including transient response and harmonics gives more accurate power loss estimates at the cost of slower simulation speed. The two models, interfaced with the thermal system, are examined with simulation studies in MATLAB/Simulink, showing the features of each model. Experimental setup and results are presented to validate the models.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013
Pages1132-1136
Number of pages5
DOIs
StatePublished - Aug 22 2013
Event2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013 - Chicago, IL, United States
Duration: May 12 2013May 15 2013

Publication series

NameProceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013

Other

Other2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013
CountryUnited States
CityChicago, IL
Period5/12/135/15/13

Keywords

  • Mobile refrigeration unit (MRU)
  • average model
  • dynamic models
  • electric drives
  • hybrid power systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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