Guo Bin’s scientific contributions

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Publications (1)

Research on Fast Matching Method of Power System Parameters of Parallel Hybrid Electric Vehicles
  • Article

January 2018

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7 Reads

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2 Citations

IFAC-PapersOnLine

Guo Bin

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Chen Hong

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Song Dafeng

Aiming at the parameter matching problem of the single-shaft hybrid SUV power system whose engine power has been determined by the manufacturer, a fast matching method for dynamic component parameters based on automobile theory is proposed. The main parameters of BSG motor, ISG motor and power battery are obtained by matching. Then a joint simulation model is established based on Cruise and MATLAB/Simulink simulation software. The results of the joint simulation show that the matched vehicle dynamics meet the design targets and the fuel economy is improved by more than 30%.