The invention relates to a hybrid electric vehicle energy management method based on self-adaptive fuzzy control. The method comprises the following steps: initializing a fuzzy rule and a membership function based on priori knowledge and a vehicle system structure, and achieving representing with chromosomes; optimizing the fuzzy rule and the membership function through a genetic algorithm under each to-be-tested working condition, and finding out an optimal fuzzy control parameter with small oil consumption and small SOC change value; and performing hybrid electric vehicle energy management according to the optimal fuzzy control parameter of each working condition. Compared with the prior art, the fuzzy rule and the membership function are iteratively optimized under different working conditions through the genetic algorithm, and then the optimized fuzzy rule and membership function are used for energy management, so that the dependence of a fuzzy control energy management strategy onexpert knowledge and experience is reduced; and compared with a method for determining fuzzy control parameters through manual heuristics, the optimal fuzzy control parameters under different workingconditions can be quickly found.
本发明涉及一种基于自适应模糊控制的混合动力汽车能量管理方法,包括以下步骤:基于先验知识和汽车系统结构初始化模糊规则和隶属度函数并将其用染色体表示;在各个待测试工况下分别通过遗传算法对模糊规则和隶属度函数进行优化,找到油耗量小且SOC变化值小的最优模糊控制参数;根据各个工况的最优模糊控制参数进行混合动力汽车能量管理。与现有技术相比,本发明通过遗传算法在不同工况下对模糊规则和隶属度函数进行迭代优化,再使用优化后的模糊规则和隶属度函数进行能量管理,降低了模糊控制能量管理策略对专家知识及经验的依赖性,相比于人为试探确定模糊控制参数的方法,可以迅速找到不同工况下的最优模糊控制参数。
Hybrid electric vehicle energy management method based on self-adaptive fuzzy control
一种基于自适应模糊控制的混合动力汽车能量管理方法
19.02.2021
Patent
Elektronische Ressource
Chinesisch
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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