TRAFST Vol.6 No.1 pp. 27-33


Value Growth Design in a Next Generation Mobility

Satoru FURUGORI*1, Taku YAMAZAKI*1, Yasuhide KURODA*1,
Takamasa SUETOMI*2, Takahide NOUZAWA*2, Yoshiki UJIIE*3,
Kazuo NAKAZAWA*3, and Yoshiyuki MATSUOKA*3

*1Mazda Motor Corporation, Technical Research Center, 2-5 Moriya-cho, Kanagawa-ku, Yokohama, Kanagawa
*2Mazda Motor Corporation, Technical Research Center, 3-1 Shinchi, Fuchu-cho, Aki-gun, Hiroshima
*3Graduate School of Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa

9 February 2012
April 15, 2012
timeaxis design, value growth design, emergent control system

This paper describes a concept of Emergent Control System which is a core module that manages value growth of a next generation mobility. Emergent Control System enables to adapt to the driver’s demand by means of estimation of the field condition of his trips based on identity mapping model and the emerging engine control algorithm based on genetic network programming (GNP). Value growth by Emergent Control System was verified as a subject of the improvement of the fuel efficiency and the battery duration of life in a series hybrid vehicle. The test was conducted on the driving simulator, and the control by Emergent Control System showed greater improvement than traditional engine control.

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Last updated on Feb. 24, 2017