Model predictive control of a power-split hybrid electric vehicle system with slope information

Kaijiang Yu, Masakazu Mukai, Taketoshi Kawabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a model predictive control approach for the energy management problem of a power-split hybrid electric vehicle system with slope information. This paper adds three new contributions to this field. First, considering the HEV physical constraints like the speed and torque limits of the engine and motor/generators, and the battery state of charge beforehand makes the optimization and the fuel improvements trustworthy. Second, the performance index design process is nature and causal. Third, using the HEV property, the desired battery state of charge is designed accord- ing to the road slopes for better recuperation of free braking energy. Effectiveness of the proposed algorithm is validated by the significant fuel economy improvements using the proposed approach compared with the conventional approach.

Original languageEnglish
Title of host publicationSICE 2013: International Conference on Instrumentation, Control, Information Technology and System Integration - SICE Annual Conference 2013, Conference Proceedings
Pages2311-2316
Number of pages6
Publication statusPublished - 2013
Event2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan
Duration: Sep 14 2013Sep 17 2013

Other

Other2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013
CountryJapan
CityNagoya
Period9/14/139/17/13

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

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