并联式混合动力汽车模糊控制策略及优化研究

Research on Fuzzy Control Strategy and Optimization for PHEV

能源危机和环境污染是汽车工业的两大挑战,提高发动机的运行效率是关键。在建立发动机模型及电池SOC(state of charge)计算模型的基础上对并联式混合动力汽车(PHEV,parallel hybrid electric vehicle)的控制策略进行研究,设计了模糊控制策略来合理分配发动机、电机的输出转矩。并在此基础上,对传动系统参数进行优化,得到满足PHEV加速和爬坡性能的最小废气排放的传动系统参数。最后,对设计的模糊控制策略进行仿真,并与参数优化后的模糊控制策略进行对比。结果表明传动系统参数优化后,燃油经济性有所提高。

The energy crisis and environmental pollution are two major challenges of the automotive industry, it is crucial to improve the efficiency of the engine. On the basis of establishing the engine model and the battery SOC calculation model, the control strategy for PHEV is investigated, and fuzzy control strategy is designed to allocate the output torque of the engine and motor reasonably. On the basis of fuzzy control strategy, the param- eters of transmission are optimized to find the appropriate transmission parameters. At last, the fuzzy control strategy is embedded in ADVISOR for simulating. Simulation results show that the fuzzy control strategy with parameters optimization improves the fuel economy compared with no parameters optimization.