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  • A research on the genetic-fuzzy control strategy for parallel hybrid electric vehicle

    • 摘要：

      A fuzzy control strategy is developed for a parallel hybrid electric vehicle with dual-clutch and single-axis torque coupling. Then the genetic algorithm (GA) is adopted to optimize the fuzzy control strategy for torque distribution. Specifically, a simulation model is built with Matlab/Simulink and ADVISOR based on test data, and the optimizations on control strategy with both single objective of fuel economy and multi-objectives of fuel economy and emission performance are conducted under NEDC driving cycle. The results show that after multi-objective optimization on fuzzy control strategy using GA, fuel consumption reduces by 3.65% with exhaust emission also decreasing apparently.

    • 作者：

      Shichun Yang;Chuangao Zhu;Ying Gao;骏 李

    • 刊名：

      Qiche Gongcheng/Automotive Engineering

    • 在线出版时间：

      2011-2