Structure Optimization and Generalized Dynamics Control of Hybrid Electric Vehicles

Liang Li*, Sixiong You, Xiangyu Wang, Chao Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

Hybrid electric vehicles (HEVs) have great potential for better fuel economy and fewer emissions. To obtain better vehicle performance, there are two main approaches used, structure optimization and generalized dynamics control, to achieve these targets at the present stage. Structure optimization is mainly about simultaneous optimization of the powertrain and control parameters for HEVs. Generalized dynamics control is a new concept, and is the scientific study of motion, force, and energy, which combines vehicle dynamics control (VDC) and energy-management system control. Moreover, the structure optimization and generalized dynamics control can be divided into five parts. In this chapter, considering our previous research, the optimization of powertrain parameters and energy-management system (EMS) is described in detail. The results of simulation and experiments indicate that these methods have potential for real-world application and are effective for solving different problems related to vehicle performance.

Original languageEnglish
Title of host publicationModeling, Dynamics, and Control of Electrified Vehicles
PublisherElsevier Inc.
Pages207-244
Number of pages38
ISBN (Electronic)9780128131091
ISBN (Print)9780128127865
DOIs
Publication statusPublished - 2018
Externally publishedYes

Keywords

  • Energy management strategy
  • Generalized dynamics control
  • Hybrid electric vehicles
  • Regenerative braking
  • Structure optimization

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