基于模糊控制的气电混合动力客车控制策略研究

摘要

基于模糊控制理论，设计气电混合动力客车驱动模式和制动模式下的模糊控制策略，嵌入到AD-VISOR模型中与电辅助控制策略进行仿真分析对比。结果表明，模糊控制策略优于电辅助控制策略，实现了驱动模式下发动机和电机驱动扭矩的合理分配和制动模式下制动能量的合理回收，降低了客车耗气量，提高了发动机效率和整车工作效率。%Based on the fuzzy control theory, the fuzzy control strategy of drive and braking modes is designed out and embedded into the ADVISOR model to compare simulation results with the parallel electric assist controls strat-egy for the LNG-electric hybrid bus. The results show that the fuzzy logical control strategy is superior to the parallel electric assist controls strategy, which achieves a reasonable torque distribution of the engine and motor under the driving mode and the reasonable braking energy recycling of the braking mode, reduces the bus' LNG consumption, and improves the efficiency of the vehicle.