Study on the Shift Strategy for Hybrid Electric Vehicle Based on the Driver’s Intention

Wei Wang; Guang Kui Shi; Lin Tao Zhang

doi:10.4028/www.scientific.net/AMR.546-547.307

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 546-547Study on the Shift Strategy for Hybrid Electric...

Study on the Shift Strategy for Hybrid Electric Vehicle Based on the Driver’s Intention

Abstract:

The paper made a comprehensive analysis on a variety of driving environment and driver’s intention for HEB, studied the typical driver manipulation features, proposed the identification method which integrated the driving environment and the operation of the driver and different shift strategy. For Beijing driving cycling as an example, using the integrated platform of AVL/Cruise and Matlab/Simulink to simulate the operation of HEV under different shift strategy in a number of traffic circulation condition, the results proved that the shift strategy based on the driver’s intention identification not only enable HEV to implement the intention of driver but also access to better fuel economy.

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Periodical:

Advanced Materials Research (Volumes 546-547)

Pages:

307-312

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.546-547.307

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Online since:

July 2012

Authors:

Wei Wang, Guang Kui Shi, Lin Tao Zhang

Keywords:

Driver’s Intention, Fuel Economy, Hybrid Electric Vehicle (HEV), Shift Strategy

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References

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