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A Rule-Based Energy Management Strategy for a New BSG Hybrid Electric Vehicle

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6 Author(s)
Liu Shaohua ; Sch. of Automotive Eng., Wuhan Univ. of Technol., Wuhan, China ; Du Changqing ; Yan Fuwu ; Wang Jun
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This paper focuses on the analysis of energy management for hybrid electric vehicle of BSG type. A well designed control strategy is a significant factor for obtaining lower fuel consumption, less emission as well as satisfying drivability. To ensure engine operating in the optimal fuel consumption region and coordinate the power split between electrical and mechanical energy sources, an adaptive power splitting algorithm is presented and discussed here on the basis of a new BSG hybrid electric vehicle equipped with both a battery of higher capacity and a motor of higher peak power. Also a smart regenerative braking method is proposed to realize the maximum energy saving purpose. The proposed hybrid electric vehicle (HEV) algorithm simulation results are compared with those of a conventional vehicle with similar configuration as HEV. And the simulation results show that the overall dynamic performance, fuel consumption and emission are all greatly improved.

Published in:

Intelligent Systems (GCIS), 2012 Third Global Congress on

Date of Conference:

6-8 Nov. 2012