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JRM Vol.26 No.5 pp. 600-606
doi: 10.20965/jrm.2014.p0600
(2014)

Paper:

Development of Energy Management of Hybrid Electric Vehicle for Improving Fuel Consumption via Sequential Approximate Optimization

Ryuhei Hagura* and Satoshi Kitayama**

*Suzuki Motor Corporation, 300 Takatsuka-cho, Minami-ku, Hamamatsu City 432-8611, Japan

**Kanazawa University, Kakuma-machi, Kanazawa 920-1192, Japan

Received:
April 14, 2014
Accepted:
July 28, 2014
Published:
October 20, 2014
Keywords:
energy management, hybrid electric vehicle, fuel consumption, sequential approximate optimization, radial basis function network
Abstract
Overview of benchmark model

This paper proposes a practical method for improving fuel consumption of hybrid electric vehicle (HEV) using a sequential approximate optimization. In particular, a new energy management is developed with four design variables. The numerical simulation of HEV is so expensive that a sequential approximate optimization using the radial basis function network is adopted. Numerical result showed that the proposed energy management significantly improves the fuel consumption of HEV.

Cite this article as:
R. Hagura and S. Kitayama, “Development of Energy Management of Hybrid Electric Vehicle for Improving Fuel Consumption via Sequential Approximate Optimization,” J. Robot. Mechatron., Vol.26, No.5, pp. 600-606, 2014.
Data files:
References
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Last updated on Nov. 15, 2018