Supervisory control algorithm using GPS information for the parallel hybrid bus system

doi:10.3969/j.issn.1674-8484.2011.01.005

Journal of Automotive Safety and Energy ›› 2011, Vol. 2 ›› Issue (1): 39-44.DOI: 10.3969/j.issn.1674-8484.2011.01.005

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Supervisory control algorithm using GPS information for the parallel hybrid bus system

Daeheung LEE¹, Jongyeol JEONG¹, Changwoo SHIN¹, Yeongil PARK², ik LIM³, ukwon CHA*¹

1. School of Mechanical and Aerospace Engineering, Seoul National University, Seoul 151-137, Korea; 2. School of Mechanical Design and Automotive Engineering, Seoul National University of Technology, Seoul 139-743, Korea; 3. Department of Automotive Engineering, Seoul National University of Technology, Seoul 139-743, Korea

Received:2011-03-03 Online:2011-01-15 Published:2011-06-17
Contact: *通讯作者/ Corresponding author： Sukwon CHA, Professor. E-mail: swcha@snu.ac.kr E-mail:ideal02@snu.ac.kr
About author:第一作者/ First author： Daeheung LEE, Ph. D. student。E-mail: ideal02@snu.ac.kr

Abstract

Abstract: A supervisory control strategy was developed to control the power distribution between an engine and an electric motor to make a bus transporting system more efficiently. The supervisory controller used the information like altitude, vehicle speed and set routes recorded from a GPS (global positioning system) receiver to optimize the fuel economy. The supervisory controller used Power Split Ratio (PSR) between two power sources. A PSR line derived from the Dynamic Programming theory can derive one of the optimal control concepts. The results show that the parallel hybrid bus can save its fuel consumption about 15%~40% compared with the conventional bus system.

Key words: hybrid electric vehicle (HEV), control algorithm, state of charge (SOC), global positioning system (GPS), power split ratio (PSR)

CLC Number:

U 461.2

Daeheung LEE, Jongyeo JEONG, Changwoo SHIN, Yeongil PARK, Wonsik LIM, Sukwon CHA. Supervisory control algorithm using GPS information for the parallel hybrid bus system[J]. Journal of Automotive Safety and Energy, 2011, 2(1): 39-44.

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Supervisory control algorithm using GPS information for the parallel hybrid bus system

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