2007•Journal of Guangxi University of TechnologyRequires access

Simulation of control strategy for hybrid electric transit bus

Han Ji-long

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Abstract

Aiming at different driving cycles and analyzing driver's control process,a fuzzy logic control strategy was presented.The model of control strategy was based on ADVISOR and simulated under several driving cycles and different control strategies.The results showed that the fuzzy logic control had good robustness and could distribute the torque between the engine and motor reasonably, and the optimal control of the entire vehicle was ensured.

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Aiming at different driving cycles and analyzing driver's control process,a fuzzy logic control strategy was presented.The model of control strategy was based on ADVISOR and simulated under several driving cycles and different control strategies.The results showed that the fuzzy logic control had good robustness and could distribute the torque between the engine and motor reasonably, and the optimal control of the entire vehicle was ensured.

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Available abstract

Aiming at different driving cycles and analyzing driver's control process,a fuzzy logic control strategy was presented.The model of control strategy was based on ADVISOR and simulated under several driving cycles and different control strategies.The results showed that the fuzzy logic control had good robustness and could distribute the torque between the engine and motor reasonably, and the optimal control of the entire vehicle was ensured.

Key concepts: Fuzzy logic, Robustness (evolution), Torque, Fuzzy control system, Control (management), Control engineering, Automotive engineering, Computer science

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