0

Full Content is available to subscribers

Subscribe/Learn More  >

Optimal Hybridization of Battery, Engine and Motor for PHEV20

[+] Author Affiliations
Shashi K. Shahi, G. Gary Wang

Simon Fraser University, Surrey, BC, Canada

Liqiang An

North China Electric Power University, Baoding, Hebei, China

Eric Bibeau

University of Manitoba, Winnipeg, MB, Canada

Paper No. DETC2011-47960, pp. 315-324; 10 pages
doi:10.1115/DETC2011-47960
From:
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5: 37th Design Automation Conference, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5482-2
  • Copyright © 2011 by ASME

abstract

A plug-in hybrid electric vehicle (PHEV) relies on relatively larger storage batteries than conventional hybrid electric vehicles. The characteristics of PHEV batteries, as well as hybridization of the PHEV battery with the engine and electric motor, play an important role in the design and potential adoption of PHEVs. To exhaustively evaluate all the possible combinations of available types of batteries, motors and engines, the total computational time is prohibitive. This work proposed an integrated optimal design strategy to address this problem. The recently developed Pareto set pursuing (PSP) multi-objective optimization approach is employed to perform optimal hybridization. Each PHEV with chosen battery, motor and engine is designed for optimal component sizing using the Powertrain System Analysis Toolkit (PSAT) software. The methodology is demonstrated with the Toyota Prius PHEV20: PHEV version sized for 20 miles (32.1 km) of all electric range (AER). Fuel economy, operating cost, and green house gases emissions are simultaneously optimized from 4,480 possible combinations of design parameters: 20 batteries, 14 motors, and 16 engines. The hybridization optimization is performed on two different drive cycles—Urban dynamometer driving schedule (UDDS) and Winnipeg weekday duty cycle (WWDC). It was found that battery, motor, and engine work collectively to define an optimal hybridization scheme and the optimal hybridization scheme varies with each driving cycle. The proposed method and software platform could be applied to optimize other powertrain designs.

Copyright © 2011 by ASME
Topics: Engines , Batteries

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In