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

Ryuhei Hagura | Zendy; Satoshi KITAYAMA | Zendy

Open Access

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

Author(s) -

Ryuhei Hagura,

Satoshi KITAYAMA

Publication year - 2014

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2014.p0600

Subject(s) - benchmark (surveying) , energy management , energy consumption , fuel efficiency , computer science , automotive engineering , mathematical optimization , electric vehicle , energy (signal processing) , mathematics , engineering , electrical engineering , power (physics) , statistics , physics , geodesy , quantum mechanics , geography

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.

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