1.太原理工大学 机械工程学院, 山西 太原 030024
2.中航美运兰田装备制造有限公司, 山西 晋中 030600
扫 描 看 全 文
高龙飞,张瑞亮,陈联春.同轴并联式混合动力汽车模糊控制策略研究[J].机械传动,2019,43(12):18-21.
Gao Longfei,Zhang Ruiliang,Chen Lianchun.Research of Fuzzy Control Strategy of Coaxial Parallel Hybrid Electric Vehicle[J].Journal of Mechanical Transmission,2019,43(12):18-21.
高龙飞,张瑞亮,陈联春.同轴并联式混合动力汽车模糊控制策略研究[J].机械传动,2019,43(12):18-21. DOI: 10.16578/j.issn.1004.2539.2019.12.003.
Gao Longfei,Zhang Ruiliang,Chen Lianchun.Research of Fuzzy Control Strategy of Coaxial Parallel Hybrid Electric Vehicle[J].Journal of Mechanical Transmission,2019,43(12):18-21. DOI: 10.16578/j.issn.1004.2539.2019.12.003.
为了提高同轴并联式混合动力汽车的燃油经济性,针对同轴并联式混合动力系统的结构特征、工作过程及能量流动模式,以驾驶意图作为模糊设计的输入变量,对驾驶意图进行模糊识别。在Matlab/Simulink中建立基于驾驶意图识别的模糊控制转矩分配策略,并在NEDC循环工况下与Cruise进行联合仿真。结果表明,该控制策略在满足动力性的前提下,同基于逻辑门限值的转矩分配控制策略相比,能有效改善发动机的工作点,百公里综合油耗下降了3.2%,进一步提高了整车燃油经济性。
In order to improve the fuel economy of coaxial parallel hybrid electric vehicle, the driver intention is used as the input variable of the fuzzy design to realize the fuzzy recognition of the driver intention, with considering the structural characteristics, working process and energy flow mode of coaxial parallel hybrid system. Fuzzy control torque distribution strategy based on recognition of driving intention is established in Matlab/Simulink, and joint simulation is performed with Cruise under NEDC cycle condition. The results show that, under the premise of satisfying the dynamic performance, compared with the logic threshold based on torque distribution control strategy, the proposed control strategy can effectively improve the working point of the engine, and can reduce the comprehensive fuel consumption of 100 kilometers about 3.2%, which satisfies the vehicle dynamics, and further improves the fuel economy.
同轴并联式混合动力 转矩分配 模糊控制 驾驶意图
Coaxial parallel hybridTorque distributionFuzzy controlDriving intention
于秀敏,曹珊,李君,等.混合动力汽车控制策略的研究现状及其发展趋势[J].机械工程学报,2006,42(11):10-16.
赵秀春,郭戈.混合动力电动汽车能量管理策略研究综述[J].自动化学报,2016,42(3):321-334.(下转第27页)
0
浏览量
2
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构