Optimal Torque Distribution Strategy of Hybrid Electric Bus Based on Genetic Algorithms

Cui Liu; Xiu Hua Gao; Jian Hua Guo

doi:10.4028/www.scientific.net/AMM.494-495.219

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Optimal Torque Distribution Strategy of Hybrid...

Optimal Torque Distribution Strategy of Hybrid Electric Bus Based on Genetic Algorithms

Abstract:

In this paper, the Hybrid Electric Bus (HEB) equipped with Compressed Natural Gas (CNG) engine is taken as the research object on the basis of logic threshold control strategy and the Genetic Algorithm (GA) is adopted to optimize the HEB control thresholds at a typical operating condition of a Chinese city bus. The simulation results show that the overall efficiency of GA optimize is higher than the original control thresholds, the engine operating point moves to the high efficiency region which can be considered optimal threshold by GA makes the overall efficiency has been effectively improved, so as to achieve without lowering the vehicle dynamics and SOC balance of the premise, the gas consumption decreased and increased HEV economy.

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Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

219-222

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.219

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Online since:

February 2014

Authors:

Cui Liu*, Xiu Hua Gao, Jian Hua Guo

Keywords:

Genetic Algorithm (GA), Hybrid Electric Bus, Logic Threshold Control, Optimization

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* - Corresponding Author

References

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