2015•Journal of Zhejiang University of TechnologyRequires access

PHEV power distribution fuzzy logic control strategy based on prediction

Jin Ya

Open publisher page 7 citations

Abstract

Driving cycles have a significant influence on fuel economy of parallel hybrid electric vehicles(PHEV).In this paper,a method is put forward based on Markov prediction for parallel hybrid electric vehicles' future driving cycles.According to the predicted results,a fuzzy logic strategy is used to achieve optimal torque distribution between the engine and the motor,making the engine work at optimal operating point,and keep the value of battery SOC within the expected range.According to rolling optimization features of predictive control strategy,the control strategy presented here overcomes the shortcomings of the global optimal control strategy which needs to predict the full traffic information and thus has a good real-time performance and robustness.Advisor simulation software was used to analyze the performances of hybrid vehicles by using this control strategy and existing typical control strategies respectively.The simulation results show this control strategy improves vehicle fuel economy compared to the existing typical fuzzy logic control strategy and logic threshold control strategy.

About this research paper

What this paper is about

Driving cycles have a significant influence on fuel economy of parallel hybrid electric vehicles(PHEV).In this paper,a method is put forward based on Markov prediction for parallel hybrid electric vehicles' future driving cycles.According to the predicted results,a fuzzy logic strategy is used to achieve optimal torque distribution between the engine and the motor,making the engine work at optimal operating point,and keep the value of battery SOC within the expected range.According to rolling optimization features of predictive control strategy,the control strategy presented here overcomes the shortcomings of the global optimal control strategy which needs to predict the full traffic information and thus has a good real-time performance and robustness.Advisor simulation software was used to analyze the performances of hybrid vehicles by using this control strategy and existing typical control strategies respectively.The simulation results show this control strategy improves vehicle fuel economy compared to the existing typical fuzzy logic control strategy and logic threshold control strategy.

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Available abstract

Driving cycles have a significant influence on fuel economy of parallel hybrid electric vehicles(PHEV).In this paper,a method is put forward based on Markov prediction for parallel hybrid electric vehicles' future driving cycles.According to the predicted results,a fuzzy logic strategy is used to achieve optimal torque distribution between the engine and the motor,making the engine work at optimal operating point,and keep the value of battery SOC within the expected range.According to rolling optimization features of predictive control strategy,the control strategy presented here overcomes the shortcomings of the global optimal control strategy which needs to predict the full traffic information and thus has a good real-time performance and robustness.Advisor simulation software was used to analyze the performances of hybrid vehicles by using this control strategy and existing typical control strategies respectively.The simulation results show this control strategy improves vehicle fuel economy compared to the existing typical fuzzy logic control strategy and logic threshold control strategy.

Key concepts: Fuzzy logic, Robustness (evolution), Engineering, Torque, Fuzzy control system, Control engineering, Range (aeronautics), Electric vehicle

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