Analysis of hybrid vehicle architectures using multiple domain matrices

Carlos Gorbea, Tobias Spielmannleitner, Udo Lindemann, Ernst Fricke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Scopus citations

Abstract

The use of MDMs in analyzing HEV architectures was presented. Once several baseline architectures can be described in an MDM format, the utility of performing basic subtraction and addition of architectures by means of ΔMDM and ∑MDM provide valuable information that can lead to an exploration of many more possible solutions. Ongoing research lies in using ΔMDM and ∑MDM information for an automated generation of a solution space using design synthesis rule based methods. The following list of steps summarizes the procedure being investigated: 1. Several known car architectures structures are constructed in MDM format 2. Individual architecture MDMs are compared using subtraction to form a ΔMDM analysis 3. A ∑MDM of all known architectures reveals patterns for rule generation, HEV typology, and a generic DMM for across all architectures is assembled 4. A 'components DSM' is generated from the rules in step 3 5. A 'functions DSM' is calculated using equation 1 to complete the MDM structure 6. The calculated 'functions DSM' is revised to fit a input-output logic based on energy and information flow rules 7. Clustering of 'functions DSM' reveals customer relevant functions.

Original languageEnglish
Title of host publicationProceedings of the 10th International DSM Conference
Pages375-387
Number of pages13
StatePublished - 2008
Event10th International Design Structure Matrix Conference, DSM'08 - Stockholm, Sweden
Duration: 11 Nov 200812 Nov 2008

Publication series

NameProceedings of the 10th International DSM Conference

Conference

Conference10th International Design Structure Matrix Conference, DSM'08
Country/TerritorySweden
CityStockholm
Period11/11/0812/11/08

Keywords

  • Hybrid Electric Vehicles
  • Multiple Domain Matrix
  • Vehicle Architecture

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