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首页> 外文期刊>Jordan Journal of Mechanical and Industrial Engineering >Driving Pattern Recognition of Hybrid Electric Vehicles Based on Multi-hierarchical Fuzzy Comprehensive Evaluation
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Driving Pattern Recognition of Hybrid Electric Vehicles Based on Multi-hierarchical Fuzzy Comprehensive Evaluation

机译：基于多层次模糊综合评价的混合动力汽车行驶模式识别

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Energy management strategy is a key technology which affects the fuel economy of hybrid electric vehicles (HEVs), which is greatly affected by the complex driving environment of vehicles, and further research is needed in the aspect of comprehensive consideration of vehicle driving pattern. In this paper, the multi-mode driving control is defined as the control strategy which switches a current driving control algorithm to the algorithm optimized in a recognized driving pattern. Based on the analysis of vehicle drive cycle, the driving pattern is defined according to the randomness of vehicle drive cycle. Four representative driving patterns are selected, which are composed of two urban driving patterns, two express way driving pattern. A total of 14 characteristic parameters are chosen to characterize the driving patterns. The multi-hierarchical comprehensive evaluation based on fuzzy comprehensive evaluation for vehicle drive conditions is introduced, which in driving decides periodically the representative driving pattern that is closest to a current drive cycle by comparing the correlation related to 14 characteristic parameters. The hierarchical system of vehicles driving patterns characteristic parameters is set up. Using an actual drive cycle as an example, the working condition is evaluated using the weighted average of fuzzy comprehensive evaluation model with comprehensive consideration of the influence of multiple factors. The analysis of vehicle drive cycle can be used to guide the design of HEVs powertrain and the multi-mode control algorithm using real-time online identification of drving pattern can be developed to optimize the performance of HEVs.
机译：能源管理策略是影响混合动力汽车燃油经济性的关键技术，而混合动力汽车的复杂驾驶环境对混合动力汽车的燃油经济性影响很大，因此需要在综合考虑车辆驾驶方式方面进行进一步研究。在本文中，将多模式驾驶控制定义为将当前驾驶控制算法切换为以已知驾驶模式优化的算法的控制策略。基于对车辆行驶周期的分析，根据车辆行驶周期的随机性定义行驶模式。选择四个有代表性的驾驶模式，它们由两个城市驾驶模式，两个高速公路驾驶模式组成。总共选择了14个特征参数来表征驱动模式。引入了基于模糊综合评价的车辆驾驶条件的多层次综合评价方法，该方法在驾驶中通过比较与14个特征参数有关的相关性，定期确定最接近当前驾驶周期的代表驾驶模式。建立了车辆行驶模式特征参数的分级系统。以一个实际的驾驶周期为例，在综合考虑多种因素影响的情况下，使用模糊综合评价模型的加权平均值对工作条件进行评价。车辆行驶周期的分析可用于指导混合动力汽车的动力总成设计，并可以利用实时在线识别驾驶模式的多模式控制算法来优化混合动力汽车的性能。

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