Automated dynamic modeling of arbitrary hybrid and electric drivetrain topologies

Wilco van Harselaar, Theo Hofman, Markus Brouwer

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
2 Downloads (Pure)

Abstract

The optimal design regarding energy efficiency of hybrid and electric drivetrains is a problem that includes topology generation, topology optimization, component sizing, and control. One of the challenges of this design problem is that the topology defines the plant sizing and control parameters. Furthermore, the topology also determines the transmission model that is needed for the evaluation of the sizing and control problems. To enable automated component sizing and control optimization, a novel method is presented in this paper for the automated dynamic modeling of arbitrary hybrid and electric drivetrain topologies. In this paper, topologies are modeled at the level of (planetary) gears and clutches, making the method suitable for complex and unconventional drivetrain topologies. A generic transmission model is defined, for which the model parameters are automatically determined. The parameter determination is based on the analytic evaluation of the kinematic and kinetic properties of the components of the topology. All transmission modes are identified and classified, and infeasible and redundant modes are automatically excluded. As the method is analytic, the computation time to determine the model parameters is short (less than a second). The model, in this case, provides the rotational speeds and torques of all power sources as a function of the rotational speed and torque at the wheels, and the control variables. Using a case study, it is shown that the method can be used to automatically solve the control and sizing problems for complex drivetrain topologies.

Original languageEnglish
Article number8356666
Pages (from-to)6921 - 6934
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Volume67
Issue number8
DOIs
Publication statusPublished - 1 Aug 2018

Keywords

  • Automated modeling
  • drivetrain topology
  • dynamic programming
  • hybrid electric vehicles
  • multi-level optimal design
  • multi-mode
  • power-split
  • powertrain design
  • transmission

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