串并联混合动力汽车控制策略仿真研究

Yunpeng Li, Peng Yi, Meng Wang
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引用次数: 6

摘要

在Matlab/Simulink开发的ADVISOR环境下,利用模糊逻辑和发动机最大功率曲线,提出了一种串并联混合动力汽车的模糊控制策略。模糊控制策略不仅吸收了逻辑阈值控制策略的优点,而且利用模糊逻辑构建转矩分配控制器来分配混合动力系统的转矩。在模糊逻辑控制策略的设计和研究过程中,详细分析了混合动力驱动系统的结构特点和控制目标。然后利用模糊逻辑技术完成控制策略的设计与开发。最后,将模糊策略引入到各种路况的仿真中。通过分析和比较,仿真结果表明,与传统逻辑阈值控制策略相比,模糊控制策略的燃油经济性大大提高了6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation to Simulation of Control Strategy for Series-Parallel Hybrid Electric Vehicle
In the environment of ADVISOR developed from the Matlab/Simulink, a fuzzy control strategy is proposed for series - parallel hybrid electric vehicle (PSHEV) using fuzzy logic and the curve of maximum engine power. The fuzzy control strategy not only absorbs some benefits of the logic threshold control strategy, but also uses fuzzy logic to build torque distribution controller to distribute the torque of the hybrid system. In the progress of designing and researching fuzzy logic control strategy, the structural characteristics of the hybrid driving system and control objectives are analyzed in detail. Then use fuzzy logic technology to complete the design and development of control strategies. Finally, take the fuzzy strategy into the simulation of a variety of road conditions. Through the analysis and comparison, the simulation results show that the fuel economy of the fuzzy control strategy has been greatly improved by 6% compared to conventional logic threshold control strategy.
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