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International Journal of Automotive Technology

, Volume 19, Issue 5, pp 907–914 | Cite as

Energy Consumption Analysis of Different Bev Powertrain Topologies by Design Optimization

  • Bin Wang
  • David Ling-Shun Hung
  • Jie Zhong
  • Kwee-Yan Teh
Article
  • 60 Downloads

Abstract

Flexible layout of electric motors in battery electric vehicles (BEVs) has enabled different powertrain topologies to be used. However, these different powertrain topologies also affect the overall efficiency of energy conversion from the electrochemical form stored in the battery to the mechanical form on the driving wheels for vehicle propulsion. In this study, a methodology combining an energy-based BEV simulation model with the genetic algorithm optimization approach is applied to evaluate the energy efficiency of three different BEV powertrain topologies. The analysis is carried out assuming two different urban driving conditions, as exemplified by the New European Drive Cycle (NEDC) and the Japanese JC08 drive cycle. Each of the three BEV powertrain topologies is then optimized – in terms of its electric motor size and, where applicable, gear reduction ratio – for minimum energy consumption. The results show that among the three powertrain topologies, the wheel-hub drive without gear reducers consumes the least energy. The energy consumption of BEVs under the more aggressive JC08 drive cycle is consistently 8 % above that under NEDC for all three powertrain topologies considered.

Key words

Battery electric vehicles Energy consumption Optimal design Powertrain topology Drive cycle analysis 

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Copyright information

© The Korean Society of Automotive Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Bin Wang
    • 1
  • David Ling-Shun Hung
    • 2
    • 3
  • Jie Zhong
    • 3
  • Kwee-Yan Teh
    • 3
  1. 1.State Key Laboratory of Ocean EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.National Engineering Laboratory for Automotive Electronic Control TechnologyShanghai Jiao Tong UniversityShanghaiChina
  3. 3.University of Michigan-Shanghai Jiao Tong University Joint InstituteShanghai Jiao Tong UniversityShanghaiChina

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