The supervisory control algorithm using GPS information for the parallel hybrid bus system

Daeheung Lee, Jongyeol Jeong, Changwoo Shin, Yeongil Park, Wonsik Lim, Sukwon Cha

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

Our goal in this study is to develop the supervisory control strategy for a hybrid bus system, which is able to control the power distribution between an engine and an electric motor more efficiently, because the fuel economy of hybrid system could change depending on the supervisory control of hybrid control unit. In case of the bus transporting system, there is some information that can be used to optimize the fuel economy on a supervisory controller like altitude, vehicle speed and set routes recorded from a GPS receiver. In this paper, we present the supervisory control algorithm for the parallel hybrid bus, which is using the Power Split Ratio (PSR) between two power sources. The PSR line can be derived from the analysis results of Dynamic Programming theory that is one of the optimal control concepts. The fuel economy saving results shows that the parallel hybrid bus can save its fuel consumption about 15∼40% compared with the conventional bus system.

Original languageEnglish
StatePublished - 2010
Event25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition: Sustainable Mobility Revolution, EVS 2010 - Shenzhen, China
Duration: 5 Nov 20109 Nov 2010

Conference

Conference25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition: Sustainable Mobility Revolution, EVS 2010
Country/TerritoryChina
CityShenzhen
Period5/11/109/11/10

Keywords

  • Control algorithm
  • Heavy duty vehicle
  • Hybrid bus
  • Hybrid system
  • State of charge

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